News & Updates
The latest news and updates from companies in the WLTH portfolio.
German regulator says Google and Perplexity must follow media laws - Cryptopolitan
Germany's regulator is focusing on how AI products distribute news and who is responsible for the output when it is incorrect. Germany's media watchdog said Google's AI Overviews and Perplexity AI are content providers under the country's media law on Tuesday. This means that the two most popular AI search engines now have to follow the same rules as regular publishers and are directly liable for the content generated by their AI systems. The decision was made by ZAK, the Commission for Licensing and Supervision, which is made up of 14 German state media. ZAK found that the companies running AI created news summaries and chatbot responses are the authors. That's a critical distinction because it implies AI products can no longer hide behind the legal shield they have relied on in the past. "AI search engines and chatbots are content providers," ZAK Chairman Thorsten Schmiege said in a statement. "From now on, we will always apply German media law to them." In those cases, the Digital Services Act's responsibility exemption is not applicable, the regulator said. That immunity typically shields platforms from liability for user created illicit content. German court holds Google responsible for AI Overview content The decision by ZAK came after a court in Munich said that Google was directly responsible for the allegedly false statements that its AI Overview feature made. The court saw the summaries as Google's own work, not as repackaging information from other sources. That reasoning is the same as what ZAK applied to the broader issue of media law. Once an AI system is the author of what appears on screen, the company behind it bears the obligations and risks associated with publication. ZAK says that Google's AI Overviews show up at the top of search results, pushing down traditional lists of links. The regulator thinks this is unfairly hurting third-party media outlets that depend on that traffic. ZAK says that tools like Perplexity change the news that people read by letting users pick and show sources, links, or suggestions along with their own answers. On that basis, the regulator stated that such services could qualify as media intermediaries, a category with rules designed to protect media plurality. The German move comes as global pressure grows for formal oversight of frontier AI systems. According to Cryptopolitan, Google DeepMind CEO Demis Hassabis recently called for a US watchdog, similar to Wall Street regulator FINRA, to screen the most powerful AI models before they are released. Anthropic CEO Dario Amodei has advocated for a more powerful agency, similar to the FAA, with the authority to prohibit unsafe models. These proposals address safety concerns with the underlying models. Germany's regulator is looking into how AI products distribute news and who is responsible if the output is incorrect.
Not OpenAI or Anthropic: DeepSeek founder Liang Wenfeng is world's richest creator of AI models
DeepSeek founder Liang Wenfeng's net worth more than doubled to US$36 billion after his firm's most recent fundraising round. Hong Kong - DeepSeek founder Liang Wenfeng's net worth more than doubled after his firm's most recent fundraising round, making the Chinese entrepreneur the world's richest among creators of AI models. Liang is now worth US$36 billion (S$46.5 billion), up from about US$16.7 billion previously, according to the Bloomberg Billionaires Index. That ranks him well above OpenAI president Greg Brockman (No 100), with an estimated net worth of US$25.5 billion, and Anthropic co-founder Dario Amodei's (No 491) whose fortune stands at US$7.98 billion. Ironically, OpenAI co-founder and CEO Samuel Altman, with $3.4 billion, did not even make Bloomberg's list of the Top 500 richest people. In the ranking, Bloomberg looked at firms whose primary business and majority of revenue come directly from AI models, instead of other businesses in the AI supply chain - notably, data centres and semiconductors. As such it rules out Big Tech founders like Tesla and SpaceX's Elon Musk, Google's Larry Page, Amazon's Jeff Bezos, Meta's Mark Zuckerberg and Nvidia's Jensen Huang. For Liang, most of his fortune is derived from his stake in DeepSeek. What sets him apart from his Silicon Valley peers is the sheer scale of his equity retention. In the United States, building a US$50 billion frontier AI company typically requires giving up massive chunks of equity to tech giants and VCs. By contrast, maintaining a near-78 per cent stake in DeepSeek gives Liang a boost to his personal wealth and control that is unusual among modern AI founders. While US giants like OpenAI and Anthropic command massive valuations approaching US$1 trillion, their equity is more fragmented across larger investor bases or multiple co-founders. Strong demand for investment boosted DeepSeek's valuation about fivefold from the initial US$10 billion reported in April. Following the start-up's US$7.4 billion funding round in June 2026 - which valued the company at US$50 billion and saw Liang personally invest US$3 billion - his stake is estimated to have diluted to approximately 78 per cent, according to the Bloomberg Billionaires Index. Liang was born in 1985 in Zhanjiang, in China's southern Guangdong province, where his father was an elementary school teacher. He studied electronic engineering at Zhejiang University, a prestigious college in the city of Hangzhou where he also earned a master's degree in information and communication engineering. Liang created DeepSeek in 2023 as an offshoot of the AI division of his hedge fund, Zhejiang High-Flyer Asset Management, which he set up with two former university classmates. The trio had begun trading as students during the global financial crisis. Early on, High-Flyer used its massive trading profits to stockpile advanced graphics chips before US export restrictions tightened. Those early investments gave DeepSeek the computing power necessary to develop its breakthrough models without relying on traditional venture capital. DeepSeek shocked the global tech industry in early 2025 by releasing a model that achieved performance comparable to US rivals like OpenAI, but at a fraction of the cost. The start-up is keeping up that momentum, recently showcasing its latest V4 model and publicly touting its compatibility with chips made by domestic tech giant Huawei Technologies. For years, consumer internet tycoons like Alibaba's Jack Ma defined tech wealth in China. That era is now giving way to state-backed artificial intelligence. The influx of state and corporate capital marks DeepSeek's transition from a private software experiment into a critical national asset. Liang's US$36 billion fortune makes him China's eighth-richest person, just behind Chen Tianshi, the hardware AI billionaire and Cambricon Technologies co-founder. BLOOMBERG
Export limits on Anthropic LLMs a step toward industry standards, US official says | MLex | Specialist news and analysis on legal risk and regulation
By Mike Swift ( July 14, 2026, 23:58 GMT | Insight) -- US Commerce Department official Jeffrey Kessler told Congress the Trump administration's temporary export restrictions on Anthropic's Fable 5 and Mythos 5 AI models were based on national security concerns and were a step toward establishing objective, government-wide standards for reviewing frontier AI models. Asked if the administration will establish public industry-wide rules and guidelines to evaluate frontier models, Kessler said, "I think that's going to happen."A senior Trump Administration official told Congress Tuesday that the US government's recent temporary export block on Anthropic's most powerful AI models was part of an effort to create standards to evaluate the most powerful new models for national security and safety threats.... Prepare for tomorrow's regulatory change, today MLex identifies risk to business wherever it emerges, with specialist reporters across the globe providing exclusive news and deep-dive analysis on the proposals, probes, enforcement actions and rulings that matter to your organization and clients, now and in the longer term. Know what others in the room don't, with features including: * Daily newsletters for Antitrust, M&A, Trade, Data Privacy & Security, Technology, AI and more * Custom alerts on specific filters including geographies, industries, topics and companies to suit your practice needs * Predictive analysis from expert journalists across North America, the UK and Europe, Latin America and Asia-Pacific * Curated case files bringing together news, analysis and source documents in a single timeline Experience MLex today with a 14-day free trial.
European lawmakers criticize Anthropic for AI policy hearing representation
Based on information from Politico EU, European policymakers expressed dissatisfaction with AI company Anthropic's representation during a hearing concerning the risks of advanced AI capabilities. Lawmakers had specifically requested the presence of Anthropic's head of public policy, but the company instead sent a technical employee, Donny Greenberg, who joined the company in April. The hearing, the first of its kind in Brussels regarding advanced AI risks, focused on Anthropic's cyber-capable models, Mythos and Fable, which are capable of identifying and exploiting software vulnerabilities. European institutions have sought access to these models, concerned about potential risks to critical infrastructure. Lawmakers voiced frustration that Greenberg, identifying himself as a technical expert rather than a policy specialist, might be unable to address their policy-related questions. This was exacerbated by the perception that Greenberg was reading his responses, leading to questions about whether he was relying on AI for his answers. Anthropic stated that it is working with the EU's AI Office and cybersecurity agency, ENISA, to enhance cyber resilience, acknowledging AI as a dual-use tool. The incident highlights the growing geopolitical and business complexities surrounding the testing and deployment of advanced AI models.
Anthropic launches free Claude for Teachers
Anthropic on Tuesday launched a free version of its chatbot geared specifically towards teachers, as a growing number of educators utilize artificial intelligence (AI) in the classroom. In a release, the company said its Claude for Teachers platform will provide K-12 teachers in the U.S. access to a library of teaching skills and a direct connection to evidence-based curricula mapped to academic standards in all 50 states. Teachers who use the new platform will receive AI assistance on generating math problems for practice and tests, creating interactive activities, lessons and "high-quality" math diagrams and turning lesson materials into "classroom-ready designs and interactive learning experiences," according to Anthropic. Users can also receive insights about their classes, assignments and student progress, along with "personalized instructional feedback grounded in real classroom talk." If teachers sign up for Claude for Teachers by June 30, 2027, they will receive a full year of access. The company noted a specific version of Claude for schools and districts is coming soon. "Teachers have been experimenting with AI for a while. But they told us they wanted something curriculum-aligned, evidence-based, and able to work in the background while they focus on their students," Drew Bent, Anthropic's education lead, wrote Tuesday on social platform X. During the 2024-25 school year, 6 in 10 teachers reported using an AI tool for work, according to a Gallup survey released in June 2025. Just under one-third of teachers said they used such tools weekly, with regular AI users estimating they saved nearly six hours per week on average. Research from the Center for Democracy and Technology released in October 2025 found that half of students said using AI in class makes them feel less connected to their teacher, while seven in 10 teachers expressed concern about the technology weakening important skills their students need to learn. "As many hype up the possibilities for AI to transform education, we cannot let the negative impact on students get lost in the shuffle," said Elizabeth Laird, the director of the Equity in Civic Technology Project at the center. "Our research shows AI use in schools comes with real risks, like large-scale data breaches, tech-fueled sexual harassment and bullying, and treating students unfairly."
Nobel Laureate John Jumper Leaves Google DeepMind for Rival Anthropic - The AI Software Report
Search for articles and insights about software, technology trends, and industry news Anthropic has recruited Nobel laureate John Jumper from rival Google DeepMind, TechCrunch reported, accelerating the high-stakes talent battle between the top AI labs. Jumper spent nearly nine years at Google, where he famously led the AlphaFold team and was a key member of the unit developing corporate coding tools. His transition to Anthropic marks the departure of one of Google's most decorated research pillars. The exit comes as Google faces commercial headwinds with some of its advanced software developments. Bloomberg reports that Google has struggled to sell the specific coding tools that Jumper was helping develop to corporate clients. Jumper's departure is part of a broader leadership drain for the search giant, occurring the same week that Character AI co-founder Noam Shazeer left DeepMind to join OpenAI. Jumper shared the 2024 Nobel Prize in chemistry for creating AlphaFold, an AI model that predicts 3D protein structures from genetic sequences. His move to Anthropic follows a highly celebrated tenure at Google, where his work bridged the gap between foundational machine learning and biological sciences. Regarding his early career advancement at the company, Jumper stated that DeepMind CEO Demis Hassabis "took a real chance letting me lead the AlphaFold team just six months after finishing my PhD" before executing his recent move.
Claude is warmer in Hindi, more rigorous in English: Anthropic study on AI language variations
New research from Anthropic suggests that Claude's values vary by language, with the popular AI chatbot found to express greater warmth in Hindi and Arabic responses compared to outputs in English and Russian, which tend to be more rigorous and analytical. When Claude generates responses in English, it emphasises different values than when it responds in Portuguese, Indonesian, or Chinese, Anthropic said in a new study published on Monday, July 13. As part of the study, Anthropic researchers set out to measure how the values Claude expresses vary across two factors: models and languages. It adopted a value axis approach where researchers first identified more than 3,000 values expressed by Claude and compressed them into a small number of axes, with each axis in the form of a number line between two groups of values such as those relating to emotional warmth on one end and those relating to rigour on the other end. Analysing Claude's responses in various languages, Anthropic said that the largest difference was observed in the Warmth vs Rigour axis followed by the Candor vs Execution axis. The variations stayed mostly stable on the Deference vs Caution and Depth vs Brevity axes, as per the company. The researchers said that the values expressed by Claude vary based on the language because its training data differs across languages. "One possibility is that our training data is not evenly distributed across languages. Some languages have far more data than others, and training for Claude to express consistent values may be more effective in languages where data is abundant. The composition of that data also varies," Anthropic said. A few languages being over-represented in professional writing could also reflect in Claude expressing different values. Anthropic also said that Claude might be looking to closely match humans' intended behaviour for some languages than others. Story continues below this ad "Claude may also be more closely matching our intended behavior for some languages than others, resulting in a gap in how well Claude serves certain language communities. "Different languages carry different conversational norms, and Claude may be responding with different values based on those norms," it added. Anthropic's latest findings mark an important first step in addressing hidden biases and language-specific gaps during model training. These differences could have real-world implications in terms of user experience. For instance, two people asking Claude to evaluate the same business plan, one in Hindi and the other in Russian, could come away with different impressions of the quality of the model's responses based on how its assessment is framed. Methodology Anthropic researchers began the experiment by identifying 3,307 values and manually clustering those with similar meanings to produce a shorter list of 339 values. Then, they used a privacy-preserving tool to sample 3,09,815 Claude conversations where the user gave the chatbot a subjective task to complete. These samples were collected from three underlying Claude models: Sonnet 4.6, Opus 4.6, and Opus 4.7. It also looked at the 20 most common languages used on the Claude AI chatbot platform, which led to a sample size of roughly 5,000 conversations per model-language pair. Story continues below this ad Also Read | Anthropic researchers find Claude has a hidden 'thinking' workspace: Here's what it means Using its analysis tool, the researchers then labelled every conversation based on which of the 339 values were present or absent. They applied a technique called dimensionality reduction to compress the labelled values into axes based on which ones Claude tends to express together. It came down to the following four key axes that captured 15 per cent of the variation in Claude's values: -Warmth vs Rigour: Whether Claude leans toward expressing positivity and care for the person or emphasising accuracy and precision. -Deference vs Caution: Whether Claude leans toward accommodating what someone wants or guarding against possible risk and harm. -Depth vs Brevity: Whether Claude leans toward explaining in depth or doing only what was asked. -Candor vs Execution: Whether Claude leans toward foregrounding its own uncertainty or producing a more polished and confident answer. The researchers' privacy-preserving analysis tool also provided a short description of how Claude expressed that value. These descriptions were grouped together within a value group based on their reflection of similar behaviours, which gave a clearer view on how the models differed. Story continues below this ad Key findings Beyond warmth vs rigour, Anthropic found that Claude expresses the most deference in Arabic and the most caution in English. On the depth vs brevity axis, Claude was found to lean toward depth in English, refining and correcting details, while leaning toward brevity in Arabic. Meanwhile, between candor and execution, Claude was found to lean the most toward candor in Dutch, owning up to its own errors, while it leaned most toward execution in Indonesian. In its analysis of how values vary across models, Anthropic found that Sonnet 4.6 is regarded as particularly warm, while Opus 4.7 is known for rigour. This means that responses by Sonnet 4.6 can also be characterised as encouraging or positive. Sonnet 4.6 further leans toward expressing more deference to the user and emotional warmth while Opus 4.7 leans toward expressing a focus on accuracy and precision as well as guarding against misuse, as per the study. To be sure, Sonnet 4.6 can express deference and caution in the same conversation. In other words, the value groups on either end of each axis are mutually exclusive. However, the more Claude expresses values on one side of an axis, the less it tends to express values on the other. Story continues below this ad Also Read | Anthropic introduces India pricing for Claude as AI race heats up Meanwhile, Opus 4.7 leans toward depth by showing the reasoning behind its conclusions, while Opus 4.6 and Sonnet 4.6 lean toward brevity. Opus 4.6 in particular tends to get straight to the point. On the candor vs execution axis, Opus 4.7 leans toward candor by being upfront about its limitations, while Opus 4.6 leans toward execution, being more likely to stay within the scope of the user's request. Anthropic further said that these findings were in line with how users have come to perceive these models, both internally and online. Moving forward, Anthropic said that it will attempt to track how values vary during model evaluation and post-deployment monitoring. "Tracing these differences back to specific data, training stages, or contextual factors would show us where to intervene if we wanted to shape Claude's behavior in more nuanced ways," Anthropic said.
How to Spot a Stock Market Bubble 101: Raymond James Just Placed an $800 Price Target on SpaceX, Valuing Elon Musk's Company at $10.5 Trillion
One month ago, on June 12, Elon Musk's artificial intelligence (AI) and space economy conglomerate, Space Exploration Technologies (SpaceX) (NASDAQ: SPCX), rewrote history with its initial public offering (IPO). The $85.7 billion raised, including the underwriters' overallotment, nearly tripled the previous IPO record holder, Saudi Aramco. But in kicking off IPO mania -- large language model developers Anthropic and OpenAI are expected to follow in SpaceX's footsteps -- SpaceX may also be fueling the final stages of an AI bubble that history suggests is waiting to pop. Where to invest $1,000 right now? Our analyst team just revealed what they believe are the 10 best stocks to buy right now, when you join Stock Advisor. See the stocks " Rarely are stock market bubble warning signs as glaring as Raymond James Financial's price target assigned to SpaceX. Image source: Getty Images. Wall Street's high-water price target foresees SpaceX reaching $800 in 2031 Given that 21 underwriters helped bring SpaceX public and received shares for doing so, it should come as no surprise that Wall Street analysts have, as a whole, presented an overwhelmingly positive outlook for the company. But Raymond James Financial analyst Brian Gesuale is a true outlier. His $800 price target by 2031 implies 451% upside, based on where SpaceX's shares ended on July 10, and assumes a valuation of roughly $10.5 trillion. For context, this would be more than double Nvidia's current market cap. Gesuale foresees SpaceX's full-year sales scaling from an estimated $38.5 billion in 2026 to approximately $837 billion by 2031. More importantly, earnings before interest, taxes, depreciation, and amortization (EBITDA) are projected to catapult from $17.7 billion in 2026 to $696 billion by 2031. While there's no question that AI and the space economy are two of the hottest addressable opportunities on Wall Street, several headwinds suggest Gesuale's pie-in-the-sky price target is pure fiction and the sign of an end-stage bubble that's about to burst. Image source: Getty Images. SpaceX spotlights everything wrong with Wall Street Although the stock market is a long-term wealth-creating machine, it's prone to occasional bubble-bursting events. SpaceX's current $1.91 trillion valuation and Raymond James' $800 price target for the company spotlight everything that's wrong with Wall Street over the short term. For starters, SpaceX hasn't demonstrated that its operating model is sustainable. While satellite-based broadband services provider Starlink is profitable, AI start-up xAI -- the segment responsible for the lion's share of SpaceX's $28.5 trillion addressable market -- is burning cash as Musk's company chases AI compute capacity. Elon Musk also has a terrible track record of fulfilling lofty promises and innovative expectations. As CEO of Tesla, Musk proclaimed that 1 million robotaxis would be on public roads by the end of 2020, which never happened. He's also assured investors that Level 5 full self-driving is "one year away" annually for more than a decade. Musk continually overpromises and underdelivers. SpaceX is likely to be haunted by historical precedent, as well. No company at the forefront of a game-changing technology has sustained a price-to-sales (P/S) ratio above 30 for any extended period. SpaceX is trading at roughly 50 times Gesuale's forecast sales for this year. Lastly, every game-changing technology for more than three decades has navigated an early stage bubble-bursting event. These bubbles have formed because investors constantly overestimate the optimization timeline of innovations. It'll likely be years before SpaceX's solutions are optimized, making Raymond James' high-water price target highly unlikely. Should you buy stock in Space Exploration Technologies right now? Before you buy stock in Space Exploration Technologies, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the 10 best stocks for investors to buy now... and Space Exploration Technologies wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $395,679!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $1,294,805!* Now, it's worth noting Stock Advisor's total average return is 929% -- a market-crushing outperformance compared to 211% for the S&P 500. Don't miss the latest top 10 list, available with Stock Advisor, and join an investing community built by individual investors for individual investors. See the 10 stocks " *Stock Advisor returns as of July 14, 2026. Sean Williams has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Nvidia and Tesla. The Motley Fool has a disclosure policy. The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.
How to Spot a Stock Market Bubble 101: Raymond James Just Placed an $800 Price Target on SpaceX, Valuing Elon Musk's Company at $10.5 Trillion
One month ago, on June 12, Elon Musk's artificial intelligence (AI) and space economy conglomerate, Space Exploration Technologies (SpaceX) (NASDAQ: SPCX), rewrote history with its initial public offering (IPO). The $85.7 billion raised, including the underwriters' overallotment, nearly tripled the previous IPO record holder, Saudi Aramco. But in kicking off IPO mania -- large language model developers Anthropic and OpenAI are expected to follow in SpaceX's footsteps -- SpaceX may also be fueling the final stages of an AI bubble that history suggests is waiting to pop. Missed Nvidia in 2009? This Rare Signal Is Flashing Again. In 2009, a "Double Down" signal flashed for a little-known chipmaker called Nvidia. For the first time in years, that same "Total Conviction" signal is flashing for a company 1/100th the size of Nvidia. Continue " Rarely are stock market bubble warning signs as glaring as Raymond James Financial's price target assigned to SpaceX. Wall Street's high-water price target foresees SpaceX reaching $800 in 2031 Given that 21 underwriters helped bring SpaceX public and received shares for doing so, it should come as no surprise that Wall Street analysts have, as a whole, presented an overwhelmingly positive outlook for the company. But Raymond James Financial analyst Brian Gesuale is a true outlier. His $800 price target by 2031 implies 451% upside, based on where SpaceX's shares ended on July 10, and assumes a valuation of roughly $10.5 trillion. For context, this would be more than double Nvidia's current market cap. Gesuale foresees SpaceX's full-year sales scaling from an estimated $38.5 billion in 2026 to approximately $837 billion by 2031. More importantly, earnings before interest, taxes, depreciation, and amortization (EBITDA) are projected to catapult from $17.7 billion in 2026 to $696 billion by 2031. While there's no question that AI and the space economy are two of the hottest addressable opportunities on Wall Street, several headwinds suggest Gesuale's pie-in-the-sky price target is pure fiction and the sign of an end-stage bubble that's about to burst. SpaceX spotlights everything wrong with Wall Street Although the stock market is a long-term wealth-creating machine, it's prone to occasional bubble-bursting events. SpaceX's current $1.91 trillion valuation and Raymond James' $800 price target for the company spotlight everything that's wrong with Wall Street over the short term. For starters, SpaceX hasn't demonstrated that its operating model is sustainable. While satellite-based broadband services provider Starlink is profitable, AI start-up xAI -- the segment responsible for the lion's share of SpaceX's $28.5 trillion addressable market -- is burning cash as Musk's company chases AI compute capacity.
How to Spot a Stock Market Bubble 101: Raymond James Just Placed an $800 Price Target on SpaceX, Valuing Elon Musk's Company at $10.5 Trillion
One month ago, on June 12, Elon Musk's artificial intelligence (AI) and space economy conglomerate, Space Exploration Technologies (SpaceX) (SPCX 4.75%), rewrote history with its initial public offering (IPO). The $85.7 billion raised, including the underwriters' overallotment, nearly tripled the previous IPO record holder, Saudi Aramco. But in kicking off IPO mania -- large language model developers Anthropic and OpenAI are expected to follow in SpaceX's footsteps -- SpaceX may also be fueling the final stages of an AI bubble that history suggests is waiting to pop. Rarely are stock market bubble warning signs as glaring as Raymond James Financial's price target assigned to SpaceX. Wall Street's high-water price target foresees SpaceX reaching $800 in 2031 Given that 21 underwriters helped bring SpaceX public and received shares for doing so, it should come as no surprise that Wall Street analysts have, as a whole, presented an overwhelmingly positive outlook for the company. But Raymond James Financial analyst Brian Gesuale is a true outlier. His $800 price target by 2031 implies 451% upside, based on where SpaceX's shares ended on July 10, and assumes a valuation of roughly $10.5 trillion. For context, this would be more than double Nvidia's current market cap. Gesuale foresees SpaceX's full-year sales scaling from an estimated $38.5 billion in 2026 to approximately $837 billion by 2031. More importantly, earnings before interest, taxes, depreciation, and amortization (EBITDA) are projected to catapult from $17.7 billion in 2026 to $696 billion by 2031. While there's no question that AI and the space economy are two of the hottest addressable opportunities on Wall Street, several headwinds suggest Gesuale's pie-in-the-sky price target is pure fiction and the sign of an end-stage bubble that's about to burst. SpaceX spotlights everything wrong with Wall Street Although the stock market is a long-term wealth-creating machine, it's prone to occasional bubble-bursting events. SpaceX's current $1.91 trillion valuation and Raymond James' $800 price target for the company spotlight everything that's wrong with Wall Street over the short term. For starters, SpaceX hasn't demonstrated that its operating model is sustainable. While satellite-based broadband services provider Starlink is profitable, AI start-up xAI -- the segment responsible for the lion's share of SpaceX's $28.5 trillion addressable market -- is burning cash as Musk's company chases AI compute capacity. Elon Musk also has a terrible track record of fulfilling lofty promises and innovative expectations. As CEO of Tesla, Musk proclaimed that 1 million robotaxis would be on public roads by the end of 2020, which never happened. He's also assured investors that Level 5 full self-driving is "one year away" annually for more than a decade. Musk continually overpromises and underdelivers. SpaceX is likely to be haunted by historical precedent, as well. No company at the forefront of a game-changing technology has sustained a price-to-sales (P/S) ratio above 30 for any extended period. SpaceX is trading at roughly 50 times Gesuale's forecast sales for this year. Lastly, every game-changing technology for more than three decades has navigated an early stage bubble-bursting event. These bubbles have formed because investors constantly overestimate the optimization timeline of innovations. It'll likely be years before SpaceX's solutions are optimized, making Raymond James' high-water price target highly unlikely.
LTM Partners with Anthropic to Expand Enterprise AI Adoption
LTM has partnered with Anthropic to integrate Claude into its AI platform, helping enterprises scale AI adoption across software development and business operations. LTM has partnered with AI company Anthropic to help enterprises deploy Claude across software engineering, application modernisation, and business operations, as organisations increasingly shift their focus from AI experimentation to large-scale implementation. The partnership will see Claude and Claude Code integrated into LTM's BlueVerse AI Delivery Fabric, the company's enterprise AI platform, to support AI-assisted software development, application modernisation, site reliability engineering (SRE), observability, and agent orchestration. The collaboration is expected to initially focus on industries including banking and financial services (BFSI), technology, consumer businesses, and manufacturing. Helping Enterprises Scale AI Deployments While many enterprises have experimented with generative AI over the past two years, scaling those initiatives across business functions remains a challenge. LTM said the partnership aims to address this gap by combining Anthropic's AI models with its enterprise implementation capabilities. Chris Ciauri, Managing Director of International at Anthropic, said the partnership is intended to help customers embed AI into their software development and modernisation programmes. "LTM brings delivery expertise, trained professionals, and long-standing client relationships across industries. By embedding Claude and Claude Code into BlueVerse, the partnership enables customers to integrate frontier AI into how they build, modernise, and manage software," he said. Building Skills Alongside Technology As part of the collaboration, LTM will expand its AI1000 talent initiative to train architects and engineers on Claude, while also establishing a dedicated Center of Excellence (CoE). According to the company, the CoE will focus on developing reusable AI skills, reference architectures, governance frameworks, and best practices for deploying AI across enterprise environments. It will also support areas such as responsible AI, model governance, and data privacy. Enterprise AI Moves Beyond Pilots LTM said it will also integrate Claude into its own delivery operations to establish internal AI workflows before extending those capabilities to customers. Venu Lambu, CEO and Managing Director of LTM, said the partnership is aimed at helping enterprises translate AI investments into measurable business outcomes. "Combining Claude with our BlueVerse platform, domain expertise, technology capabilities, and AI1000 talent initiative creates a foundation for enterprises to embed AI across their businesses and accelerate modernisation," he said. As enterprise AI adoption matures, technology service providers are increasingly partnering with model developers to deliver implementation, governance, and industry-specific solutions alongside AI models. LTM's collaboration with Anthropic reflects this shift, with the emphasis moving from access to AI models to deploying them at scale across business operations.
Anthropic Keeps Claude Fable 5 Available for Paid Subscribers Until July 19
Anthropic has extended promotional access to its flagship Claude Fable 5 model for eligible paid subscribers until July 19, giving users another week before usage-based billing comes into effect. The extension applies to Claude Pro, Max, Team, and premium seat-based Enterprise subscribers where the feature is enabled by their organisations. During this period, eligible users can continue using Claude Fable 5 for up to 50% of their weekly subscription limits without paying additional usage charges. The announcement marks the latest extension to what was initially introduced as a temporary promotional benefit. Anthropic had originally planned to include Fable 5 in eligible subscriptions until July 7 before moving users to paid usage credits. The deadline was later pushed to July 12 and has now been extended to July 19. The company said the temporary arrangement remains in place while it works to expand the computing capacity needed to support demand for the model. "We've extended this promotion through July 19, 2026, at 11:59:59 PM PT." Anthropic also confirmed that the 50% increase in Claude Code weekly usage limits will continue through the same date. What Changes for Paid Subscribers For eligible subscribers, no additional action is required to continue using Claude Fable 5 during the extended promotional period. Fable 5 shares the same weekly usage pool as other Claude models, although Anthropic notes that it consumes weekly tokens faster because of its higher performance. Once users exhaust their complimentary Fable 5 allowance, they can either purchase usage credits to continue using the model or switch to another Claude model within their remaining weekly subscription limits. The extension does not apply to free-tier users, standard seats on seat-based Enterprise plans, usage-based Enterprise plans, or API usage, which continues to be billed separately. Subscribers can access Claude Fable 5 across Claude on the web, mobile, desktop, Claude Code, Claude Design, Claude for Microsoft 365, Claude for Teams, Claude Cowork, and other supported experiences. On the web, desktop, and mobile apps, the model is available through the model picker. Temporary Measure Before Standard Availability Anthropic has indicated that the current access model is temporary rather than a permanent change to its subscription plans. The company said it intends to restore Claude Fable 5 as a standard subscription benefit once sufficient compute capacity is available, although it has not announced a timeline. Until then, the latest extension gives eligible subscribers additional time to continue using Anthropic's flagship model under their existing plans while postponing the transition to usage-based credits.
Anthropic admits Claude has multiple personalities: It appears especially warm and friendly with Hindi users
Do you think AI responds the same way in every language? Anthropic says no. Its latest study revealed that Claude comes across as warmer and friendlier in Hindi, using more humour, politeness, and words of encouragement than it typically does in English. You might think that asking Claude the same question in Hindi or English would only change the language of the response. However, a new study by Anthropic suggests it also alters the chatbot's behaviour. According to the company, Claude exhibits different behavioural traits depending on the language users choose. In Hindi, for example, the AI is more likely to respond with humour, politeness, and encouragement than in English. In its latest research, Anthropic analysed over 309,000 anonymous conversations with Claude -- covering three models (Sonnet 4.6, Opus 4.6, and Opus 4.7) and the 20 most-used languages on the platform -- focusing primarily on queries seeking advice, feedback, and opinions: situations where there is no single correct answer. The company noted that its goal was not to measure accuracy, but to understand how Claude communicates with users. What were the results? Anthropic found that Claude conveyed greater warmth when responding in Hindi and Arabic. Conversely, its responses in English and Russian were more analytical and focused on rigor. To facilitate the comparison of results, Anthropic classified Claude's behaviour into four general categories: deference vs. caution, warmth vs. rigor, depth vs. brevity, and candor vs. execution. According to the company, this approach allowed researchers to focus on Claude's behaviour rather than on differences between the questions asked by users. For users in India, the study's most significant finding lies in what Anthropic calls the "warmth vs. rigor" axis. The company observed that Claude expressed the highest levels of warmth in Hindi and Arabic. In Hindi, the AI tended to use polite language, humour, and a light-hearted tone, while validating users' ideas and work. It also frequently offered unsolicited reassurance, adapted its tone to the user's emotional state, and encouraged people to aim higher. "The greatest variation is observed along the warmth-versus-rigor axis: Claude tends to express values associated with warmth primarily in Arabic and Hindi, and values associated with rigor mainly in English and Russian," Anthropic noted in its blog post. English, however, presented a different picture. Anthropic found that Claude was more inclined to respond with rigor and caution, questioning assumptions, correcting details without being asked, and backing up its answers with evidence. Overall, the company stated that the most significant differences across languages lay in the degree of warmth or rigor Claude displayed, while its other behavioural traits remained relatively constant. The study also revealed that Claude's behaviour varied depending on the model used. Sonnet 4.6 was perceived as the warmest; it often employed humour, adapted to the user's tone, and offered non-judgmental reassurance. Opus 4.7, by contrast, appeared more analytical: it tended to question assumptions, explain its reasoning, point out potential risks, and openly acknowledge its own limitations. Opus 4.6 fell somewhere in between, generally sticking to the user's request and getting straight to the point. Anthropic clarifies that these findings do not imply that Claude holds different beliefs. Rather, the company suggests that the results reflect differences in how the AI responds depending on the language and model. Anthropic added that it is continuing to investigate the causes of these variations but believes the research could help achieve greater consistency in future AI systems.
Pete Hegseth Called Anthropic a 'National Security Risk.' Now CISA Is Using It.
CISA is one of around 100 organizations approved to use Anthropic's Mythos model, which is far better than human penetration testers at detecting and exploiting software bugs. The United States Cybersecurity and Infrastructure Security Agency (CISA) is now using artificial intelligence (AI) developer Anthropic's Mythos platform to "audit government software" -- a seeming rebuke of the Pentagon, which classified the company as a "national security risk" in February and attempted to institute controls on its use by government agencies. CISA's Attack Surface Evaluation team has been employing the model to audit source code and identify flaws that could be exploited by cybercriminals or nation-state actors, Reuters first reported last week. The initiative is apparently part of a pilot program to evaluate whether AI can accelerate software security reviews across government systems. According to the Reuters report, Mythos successfully identified multiple vulnerabilities during testing, although specifics on the number of vulnerabilities, severity, or affected software were not disclosed. What to Know About Claude Mythos The Claude Mythos platform is an extremely advanced large language model (LLM) that hasn't been released to the general public due to concerns that its software engineering capabilities could be too dangerous. The software has already been used to identify thousands of zero-day vulnerabilities in every major operating system and web browser, including decades-old bugs. As the AI can spot even the most subtle bugs, it has the capability to self-correct any coding mistakes, giving it clear commercial applications. The main risk is that in the wrong hands, it could also autonomously execute exploits at scale and speed that far exceed any human capabilities. "Software code review and analysis are nothing new. Realistically, most issues found are not exploitable without very specific conditions being met (i.e., the vulnerable function needs to actually be invoked and exposed to the attacker in order to be abused)," explained Chris Traynor, penetration tester at Black Hills Information Security (BHIS) and instructor at Antisyphon. Traynor told The National Interest via email that he believes that AI vulnerability scanning will likely find many new and novel issues that were simply too complex to identify with legacy tools before. "But added complexity can cause limitations in exploitability," Traynor said. "AI scanning will likely produce a lot of unactionable output very quickly that will need to be reviewed by experts to find the real risks." AI Is Far Better Than Humans at Finding Bugs -- for Better and Worse Software bugs are virtually inevitable and incredibly common in development. Complex systems require thousands of lines of code, and anything from minor typos to miscommunications to logical missteps can lead to bugs. This introduces unpredictable variables. Code also doesn't exist in a bubble, nor is it created in one. Changes in operating systems, web browsers, and third-party services can break functioning software, often without warning. More worrisome is that such software bugs serve as the foundation for almost all exploits in cybersecurity. A bug has the potential to create unintended weaknesses, such as how a program handles data or permissions. Many software vulnerabilities can go unnoticed, often hidden for years. The danger is that AI can find those quickly. It is an extremely useful, but essentially neutral, tool: a developer or "white hat" penetration tester can use AI to help patch faulty code, or a "black hat" hacker can use it for nefarious purposes. "AI finding vulnerabilities in federal code at scale is interesting, but the harder question is what happens after the finding. A vulnerability that exists in a library no one calls, behind a network segment no one reaches, is not the same problem as one sitting in a critical authentication path," said Seemant Sehgal, founder and CEO of cybersecurity provider BreachLock. "Without validating exploitability and reachability, every finding lands with the same weight, and that creates its own kind of risk," Sehgal told The National Interest. "The real test of this program is whether the output helps prioritize action or just expands the backlog." The US Government Has a Mercurial Approach to AI The federal government is already using AI extensively, deploying more than 3,600 distinct AI programs across its agencies. But the Trump administration is less clear about how it believes AI should be used in security matters. "The federal government can't seem to decide what it thinks about AI in general, or Mythos in particular," Bronwen Aker, AI research and strategy analyst at BHIS, told The National Interest. "One week Anthropic is a supply-chain risk, the next week CISA is handing Mythos the keys to scan federal code for vulnerabilities." The intra-government squabbles over Anthropic are by now a matter of public record. In February, the Pentagon called for Anthropic to be banned across the entirety of the federal government. Four months later, in June, the Department of Commerce instituted an export ban on two powerful Anthropic models, Fable and Mythos, leading Anthropic to shut both of them down. Earlier this month, the Department of Commerce lifted the export ban, and Fable has been made available to the general public once more. Mythos had been strictly limited to just around 100 vetted US organizations focused on critical infrastructure and cybersecurity. That seems to include CISA, which is employing the platform in the software audit. "That inconsistency would be bad enough to start with, but because it's not clear what Mythos is actually scanning, it's much, much worse," Aker told The National Interest in an email. It remains unclear if it is government-written code or software built by third-party contractors and vendors. "In-house bugs are one problem," warned Aker. "Vendor bugs running across federal systems are a supply chain problem, and the public has a right to know which one this is." AI-Generated Code Is Part of the Security Problem Part of the problem is that at the same time AI scans for vulnerabilities in legacy code, it also generates new code on the other end -- code with many of the same flaws in it as human-generated code. In other words, using AI to patch bugs is only solving half the problem. Jacob Krell, senior director for secure AI solutions and cybersecurity at security provider Suzu Labs, observed that CISA pointing Mythos at government codebases should be seen as a smart move, but perhaps only the opening move in what could be a long game. "I've seen federal systems running code that hasn't had a serious security review in a decade, and a model like Mythos can cover that volume in hours instead of months," Krell told The National Interest. "Every federal agency and contractor also has developers writing code with AI assistants, and those tools produce insecure output more often than secure output. Authorization flaws, hardcoded credentials, missing input validation, all shipping by default because the models optimize for 'does it run' and skip 'is it safe.'" The danger is that when combined, the result is akin to a treadmill that isn't so easy to get off of. In this case, Mythos finds legacy bugs, teams patch them, but then AI coding tools introduce fresh vulnerabilities even as they fix the old ones. That puts everything from power grids to water systems, which may be privately run, still squarely in the crosshairs of hackers. Krell suggested that CISA can't simply harden federal code and call it done. "If the agency has a scanning tool this capable, the operators running critical infrastructure need access to it too, because those are the systems that actually keep the lights on," he said. "I'd want CISA to pair this initiative with secure-generation standards for AI coding tools in federal development, and extend scanning access to critical infrastructure operators. We are draining the pool while the hose is still running." About the Author: Peter Suciu Peter Suciu has contributed to dozens of newspapers, magazines and websites over a 30-year career in journalism. He regularly writes about military hardware, firearms history, cybersecurity, politics, and international affairs. Peter is also a contributing writer for Forbes and Clearance Jobs. He is based in Michigan. You can follow him on Twitter:@PeterSuciu. You can email the author: [email protected].
Samsung will make 2nm AI chips for Anthropic
A few days ago, it was reported that Samsung could win a contract to manufacture high-performance AI chips for Anthropic. A new report now claims that Samsung Foundry has secured the contract to make chips for Anthropic, the AI firm behind the popular Claude AI system. According to Newsworks Korea, Samsung Electronics has secured a major contract to fabricate proprietary AI accelerator chips for Anthropic. The chip will be fabricated using Samsung Foundry's cutting-edge 2 nm process node and packaged with the company's advanced packaging technology. It is unclear whether the chip will be manufactured at Samsung's plant in South Korea or its facility in Taylor, Texas. It is worth noting that Samsung Electronics invested in Anthropic's $65 billion Series H funding round. Anthropic is a US-based AI firm founded in 2021 by ex-OpenAI researchers, and it competes directly with OpenAI. Anthropic is significantly more valuable than OpenAI. Samsung Foundry's reported Anthropic contract comes just a few months after it secured chip orders from Tesla and Groq. This could help the company return to profitability next quarter. Samsung is also reportedly in talks with Google and Meta to manufacture AI chips, or components for their AI chips. Due to the ongoing AI boom, TSMC, a much larger contract chip manufacturer than Samsung, is facing significant production backlogs. As a result, it is charging high prices to make chips and is reportedly prioritizing orders from major brands such as Apple, AMD, MediaTek, and Nvidia. This could allow Samsung Foundry to attract more customers. Samsung Electronics is currently the only company that offers chip fabrication, chip packaging, and memory chips under one roof.
Claude Design: Anthropic's AI Tool (Access, Pricing, Uses)
Claude Design is Anthropic's prompt-based design workspace, and more than one million people used it in its first week. It turns plain English into editable slides, interactive prototypes, mockups, and one-page assets, then exports them to PDF, PPTX, Canva, standalone HTML, or straight into Claude Code. It launched on April 17, 2026, lives at claude.ai/design, and on launch day Figma's stock fell about 7%, according to Gizmodo. Claude Design got a major overhaul on June 17, 2026 that changed how it works and what it costs you in usage. It now imports your real design system, round-trips with Claude Code through a /design-sync command, lets you drag and resize elements directly on the canvas, and draws from your shared Claude usage pool instead of a small separate allowance. You also now pick which Claude model does the work. This guide covers what Claude Design is, how to access it on Mac, Windows, and Linux, what each plan costs, what you can build with it, and how it stacks up against Figma and Canva. The Key Takeaways * Claude Design is in beta on Pro, Max, Team, and Enterprise plans and included with your subscription. There is no free tier, and Enterprise has it off by default. * The June 17, 2026 update added design system imports, a two-way /design-sync round trip with Claude Code, direct canvas editing, and brand lockdown controls for admins. * Claude Design now shares usage limits with chat, Claude Code, and Claude Cowork. The separate design allowance that users burned through in minutes is gone. * It is browser only on Mac, Windows, and Linux. There is no native Claude Design app, and any third-party ".dmg" or ".exe" download claiming to be one is not from Anthropic. * You now pick the model inside Claude Design, choosing between Fable 5, Opus 4.8, Sonnet 5, and Haiku 4.5, alongside an Effort setting. The "powered by Opus 4.7" line from the April launch post is out of date. What is Claude Design? Claude Design is a prompt-based design surface built by Anthropic Labs, the team inside Anthropic that ships experimental products. You describe what you want in plain English, and Claude generates a working design on a side-by-side canvas. You refine it through chat, inline comments, direct manipulation, and layout controls that adjust spacing, color, typography, and alignment. The product is documented in Anthropic's launch announcement. It launched on April 17, 2026, three days after Anthropic CPO Mike Krieger stepped off Figma's board, a resignation TechCrunch dated to April 14. It arrived as a research preview and moved to beta with the June update. At launch it ran on one fixed model, Claude Opus 4.7, which Anthropic then called its most capable vision model. That is no longer how it works. Claude Design now ships a model picker, and you choose the model yourself. Claude Design accepts a wide range of inputs. You can drop in screenshots, photos, DOCX, PPTX, and XLSX files, or point it at a GitHub repository so Claude reads your real components. There is also a web capture tool that grabs elements directly from your own website, so prototypes look like the real product. Anything you build can be shared inside your organization with view-only, comment, or edit permissions. Who is Claude Design for? The tool serves three core audiences. Founders and product managers who need a clickable prototype before they brief a designer. Sales and marketing teams who need a polished pitch deck today, not next week. Engineers who want to sketch an internal admin UI without leaving Claude. Designers themselves are not the primary target, and Claude Design complements tools like Figma and Canva rather than replacing them. What changed in the June 2026 Claude Design update Exactly two months after launch, Anthropic shipped a major Claude Design update on June 17, 2026. The theme was brand consistency and getting designs into production code, and it also fixed the tool's most complained-about flaw. The full changelog is in Anthropic's June 17 announcement. Here is what actually matters. Design system imports Claude Design can now pull in one or several design systems from a GitHub repo, design files, or raw uploads. Once a system is in, Claude builds with your real components, checks its own output against your system, and corrects itself before you ever see the result. This is the difference between a mockup that looks vaguely like your product and one that uses your actual buttons, cards, and tokens. The /design-sync round trip with Claude Code The headline feature is two-way traffic with Claude Code. Running /design-sync inside Claude Code pulls your local codebase's design system into Claude Design, so every prototype starts from existing components instead of approximations. A /design command in the Claude Code terminal lets developers create, edit, and sync design projects without leaving their workflow. The trip back is just as short. When a design is ready, it hands off to Claude Code, which picks up where you left off with no screenshot and no rebuild. If you are already living in the terminal, our roundup of the best Claude Code skills covers what else you can bolt onto that workflow. Direct canvas editing Claude Design used to route almost every tweak through the chat pane. The update added rich layout controls that let you drag, resize, and align elements directly on the canvas. You still ask Claude for the big structural changes, but nudging a card two pixels left no longer costs you a prompt. Brand controls for Team and Enterprise Larger organizations get a new admin role that can approve a single standard design system and lock down edits. Every asset Claude produces then conforms to company guidelines, which is what turns Claude Design from a prototyping toy into something a brand team will actually sign off on. Shared usage limits, the token-burn fix This is the change that matters most to your wallet. At launch, Claude Design metered usage from its own small allowance, and it drained fast. PCWorld reviewer Ben Patterson burned 80% of his weekly Claude Design allowance in roughly 25 minutes on the Pro plan, producing three variations of a single webpage prototype. His review was headlined "I tried Claude Design for half an hour. I'm already locked out for a week." Anthropic scrapped that model. Claude Design now shares usage limits with chat, Claude Code, and Claude Cowork, so there is no separate design allowance to track and you draw from one larger pool. Anthropic also says it cut average token consumption per turn while holding output quality, and that error rates dropped sharply. Which model powers Claude Design? This is the question almost every other guide still gets wrong. Anthropic's April launch post said Claude Design ran on Claude Opus 4.7, and that page has never been updated, so write-ups keep repeating it. Open the product today and it is plainly false. Claude Design carries the same model picker as the rest of Claude, and Anthropic's support documentation lists Claude Design among the surfaces where organization model-access settings apply, right next to chat, Cowork, and Claude Code. The model picker: Fable 5, Opus 4.8, Sonnet 5, and Haiku 4.5 Open the Model dropdown in the prompt composer and you get four models. Fable 5 is pitched for your toughest challenges, Opus 4.8 for complex tasks, Sonnet 5 as the efficient everyday pick, and Haiku 4.5 for fast answers. A More models row opens the rest of the catalogue. No single model "powers" Claude Design any more, so the honest answer is that you decide, per project. In practice, Sonnet 5 is enough for most slide decks, one-pagers, and simple mockups, and it is the cheapest way to iterate. Step up to Opus 4.8 or Fable 5 when you are building a dense interactive prototype or working against an imported design system, where the model has to hold a lot of structure in its head at once. Drop to Haiku 4.5 for quick throwaway variations. The Effort control Underneath the model list sits Effort, which defaults to High. Effort trades intelligence against speed and usage, and Anthropic documents the full ladder as Low, Medium, High, Extra high, and Max in its guide to model, effort, and thinking settings. Because design work now draws from your shared pool, turning Effort down on rough drafts is the single easiest way to stretch a subscription further. Admins get a say too. Since July 1, 2026, Enterprise administrators can restrict both which models their users can reach and which effort levels they are allowed to set, which is the same rollout that brought the picker into Claude Design in the first place. Fable 5 and the included-usage window Claude Fable 5 launched on June 9, 2026 and sits above Opus 4.8 as Anthropic's most capable widely released model, with a 1 million token context window and API pricing of $10 per million input tokens and $50 per million output tokens. That capability is not free-flowing. Anthropic includes Fable 5 on paid plans for up to 50% of your weekly usage limit, after which you switch models or buy usage credits, as set out in its Fable 5 redeployment note. That inclusion window is promotional and Anthropic keeps extending it, first to July 7, then July 12, then July 19, 2026. The picker prints the current deadline next to Fable 5, so check the label before you commit a long session to it. Free plans never had access, and standard Enterprise seats are excluded. How to access Claude Design Claude Design is a browser-based product at claude.ai/design. It works identically on Mac, Windows, and Linux because all generation happens on Anthropic's cloud. There is no native Claude Design app for any operating system and no separate desktop installer. Here are the four steps to get in. Optionally, run /design-sync in Claude Code first to import your team's design system, so generations stay on-brand from the very first prompt. Once you are in, you write a prompt in the left chat pane, watch the design build on the right canvas, then fine-tune with the layout controls or by dragging elements directly. Using Claude Design on Mac, Windows, and Linux Because the heavy generation runs on Anthropic's cloud, any Apple silicon Mac, from the original M1 right through the current M5, runs Claude Design identically to a Windows laptop or a Linux desktop. You do not need a discrete GPU, and the Mac mini, MacBook Air, and entry-level MacBook Pro all handle the canvas without lag. The same goes for an average Windows ultrabook. If you build dense interactive prototypes, a larger display helps, because the chat pane and canvas sit side by side. Many Mac users prefer to run Claude Design inside the official Claude Desktop app for macOS, which you can download from claude.com/download. It gives Claude a dedicated window away from your browser tabs. The desktop app is not required, but it is the cleanest setup if you work in Claude all day. What you can build with Claude Design Claude Design starts you from five templates, Prototype, Slides, Document, Wireframe, and Animation, or from a blank prompt if you would rather just describe what you want. Each one is refined through conversation afterwards. Below are five concrete use cases with the kind of prompt that gets the best result on the first try. Two of those templates are easy to overlook. Wireframe deliberately strips the output back to low-fidelity structure, which is what you want when the argument is about layout rather than polish. Animation produces motion, and because Claude Design renders slides as HTML rather than PowerPoint, Anthropic's own presentation tutorial notes that it can animate transitions to carry a story across a deck. 1. Pitch decks and quarterly business reviews You describe the deck including target audience, slide count, and key data points, and Claude builds the full deck in PPTX format. Example prompt: "Build a 12-slide Series A pitch deck for a B2B SaaS analytics startup. Include problem, solution, market size, traction, business model, team, and ask. Use a minimal style with our blue and grey brand colors." The output drops straight into Microsoft PowerPoint, Apple Keynote, or Google Slides. For deeper presentation workflows, see our guide on how to use AI in PowerPoint. 2. Interactive prototypes for new features Product teams use Claude Design to make a feature tangible before they brief engineering. Example prompt: "Design a 5-screen onboarding flow for a fitness tracking app. Include a welcome screen, goal selection, profile setup, permission requests, and a celebration screen. Use a light theme with sans-serif type." Because the canvas renders real HTML, CSS, and JavaScript, every prototype is clickable and scrollable in the browser. You share the link with stakeholders, collect comments inline, then iterate without leaving the chat. 3. Landing page mockups and one-pagers Founders without a designer use Claude Design to draft a marketing site or sales one-pager in minutes. Example prompt: "Create a SaaS landing page for an AI invoice tool aimed at freelancers. Include a hero, three feature blocks, a pricing table, FAQ, and a CTA footer. Match the layout conventions of modern fintech landing pages." Uploading screenshots of pages you admire pulls real reference material into the prompt, which keeps the output anchored to actual conventions instead of generic templates. If you already have a site, the web capture tool grabs elements from it so the mockup matches your live product. 4. Mockups built on your real design system This use case got dramatically stronger in June. Import your design system from a GitHub repo, design files, or raw uploads, and a new dashboard mockup will use your actual buttons, cards, modals, and tokens. Claude validates its output against the system and fixes deviations before showing you anything, so designs become drop-in references for the next sprint rather than throwaways. When you are ready to ship, click Handoff to Claude Code and send the design to a local Claude Code agent or to Claude Code on the web. Claude Code picks up the design without starting over, so nothing gets rebuilt from a screenshot. 5. Data dashboards, infographics, and internal tools Claude Design also handles charts, dashboards, and quick internal tools. For text-heavy infographics that demand pixel-perfect typography, ChatGPT Images 2.0 is currently a stronger pick because it specializes in dense text rendering. For interactive dashboards with editable data, Claude Design is the better fit, because the output is real code rather than a flat image. Claude Design pricing and usage limits Claude Design is not free. It is included at no extra cost with Pro, Max, Team, and Enterprise Claude plans. Since June 17, 2026 it draws from the same shared usage pool as chat, Claude Code, and Claude Cowork, so there is no separate design allowance to monitor. Here is what each plan costs, and our full Claude pricing breakdown goes deeper on API and Bedrock rates. Pro: $20 per month Claude Pro is the cheapest way into Claude Design at $20 per month, or $17 per month billed annually. It is the right plan for individual founders, marketers, and engineers who want to try Claude Design without a team contract. Design work now competes with your chat and Claude Code usage for the same pool, so a heavy prototyping session will eat into what you have left for everything else. Max 5x: $100 per month Claude Max 5x costs $100 per month and gives you 5x the Pro usage. This is the sweet spot for power users running daily Claude Design sessions alongside heavy Claude Code or Claude Cowork work, precisely because all three now share one pool. Max 20x: $200 per month Claude Max 20x costs $200 per month for 20x the Pro usage, plus priority access to Anthropic's newest features and models. This is for designers and agencies treating Claude Design as their primary visual workflow. Team and Enterprise Team Standard is $25 per seat per month ($20 annually) and Team Premium is $125 per seat per month ($100 annually). Those Team plans run from 5 to 150 seats. Enterprise is custom-priced through sales and ships with Claude Design turned off by default, so an admin must enable it in Organization settings. Once you exhaust your plan limits, Pro and Max users can switch on extra usage, sometimes called usage credits, and keep working. That overflow is billed at standard API rates rather than being included, so it is a metered top-up, not a bigger bucket. If you bought your subscription through the mobile app, you have to enable extra usage on the web. Claude Design vs Figma vs Canva vs Fello AI These four tools solve overlapping problems from different starting points. Claude Design generates from a prompt. Figma builds on a vector canvas with components. Canva assembles from templates and stock assets. Fello AI sits one level up, giving you Claude, ChatGPT, Gemini, Grok, and DeepSeek in a single app. Here is how they compare on the metrics that matter. The short verdict. Use Claude Design when you need to go from idea to interactive output fast and you already pay for Claude Pro or higher. Pick Figma for production UI work, design systems, and developer handoff at scale. Use Canva for brand-consistent marketing collateral with stock assets. Choose Fello AI at $9.99 a month when you want several frontier models in one app and you do not need a design canvas at all. Fello AI: a multi-model alternative for $9.99 a month If you do not have a paid Claude plan and you mostly need AI-generated slides, documents, and everyday creation work, Fello AI is a cheaper way in. For $9.99 a month it bundles Claude, ChatGPT, Gemini, Grok, and DeepSeek, and its PowerPoint Skill produces real .pptx files straight from a chat conversation. The app runs natively on Mac, iPhone, and iPad with cross-device sync, and it holds a 4.7-star rating across more than 27,000 reviews. The trade-off is the canvas. Fello AI does not give you a side-by-side visual editor, so it is not a replacement for a real design surface. It is the better choice when you want speed and one-app access to several models, and the weaker choice when you specifically need to push pixels. Plenty of people run both, Claude Design for work that needs a canvas and Fello AI for everything else. How Claude Design fits with Claude Cowork and Claude Code Anthropic now ships three Claude products that talk to each other, namely Claude Design, Claude Code, and Claude Cowork. The intended workflow is straightforward. Claude Design produces the visual artifact, Claude Code implements it, and Claude Cowork runs the long-horizon agent tasks on top, like research, document drafts, and analytics. The June update tightened that loop considerably. All three now share one usage pool, one set of credentials, and one billing relationship, and /design-sync plus Handoff to Claude Code are the explicit bridges between visual work and shipped code. Claude Design also sends work out to Adobe, Base44, Canva, Gamma, Lovable, Miro, Replit, Vercel, and Wix, on top of PDF and PowerPoint export. If you want quick presentation generation outside the design canvas, our guide to converting PDF to PowerPoint with AI covers that workflow. Limits and caveats Claude Design is still in beta, and the constraints below matter before you commit a workflow to it. Enterprise organizations have it disabled by default and need an admin to opt in. Anthropic has never corrected its April launch post, which still claims the tool runs on Opus 4.7, so plenty of secondhand write-ups repeat a model claim the live product flatly contradicts. Whichever model you pick, its vision and reasoning limits apply to your designs as well. And because design work now draws from your shared pool, a long prototyping session directly reduces what you have left for chat and Claude Code. On capability, the honest boundaries hold. For brand-heavy marketing collateral with consistent assets across dozens of pieces, Canva still wins. For complex multi-screen design systems with tight pixel precision, Figma still wins. Claude Design is at its best on the first 80% of a design, and most teams will hand the last 20% to a real designer. Anthropic has also shipped Claude Dreaming, its agent memory feature, which is worth watching if you plan to keep design sessions context-aware across weeks. Conclusion Claude Design spent its first two months as an impressive demo with a punishing usage cap. The June 17 update fixed the cap, taught it your design system, and wired it directly into Claude Code, which is what turns it into something you can actually put in a workflow. If you already pay for Claude Pro, Max, Team, or Enterprise, open claude.ai/design and run one of the example prompts above, and run /design-sync first if you have a codebase worth matching. If you do not have a Claude subscription and you want several frontier models in one native Mac app instead, download Fello AI on the App Store. To compare the underlying models powering all of this, see our best AI models guide. If you are weighing the two big AI visual tools against each other, our head-to-head on Claude Design vs ChatGPT Images 2.0 breaks down which one wins for slides and mockups, and our walkthrough on how to use ChatGPT Images 2.0 to create visuals covers the OpenAI side in practice.
Claude Design: Anthropic's AI Tool (Access, Pricing, Uses)
Claude Design is Anthropic's prompt-based design workspace, and more than one million people used it in its first week. It turns plain English into editable slides, interactive prototypes, mockups, and one-page assets, then exports them to PDF, PPTX, Canva, standalone HTML, or straight into Claude Code. It launched on April 17, 2026, lives at claude.ai/design, and on launch day Figma's stock fell about 7%, according to Gizmodo. Claude Design got a major overhaul on June 17, 2026 that changed how it works and what it costs you in usage. It now imports your real design system, round-trips with Claude Code through a /design-sync command, lets you drag and resize elements directly on the canvas, and draws from your shared Claude usage pool instead of a small separate allowance. You also now pick which Claude model does the work. This guide covers what Claude Design is, how to access it on Mac, Windows, and Linux, what each plan costs, what you can build with it, and how it stacks up against Figma and Canva. The Key Takeaways * Claude Design is in beta on Pro, Max, Team, and Enterprise plans and included with your subscription. There is no free tier, and Enterprise has it off by default. * The June 17, 2026 update added design system imports, a two-way /design-sync round trip with Claude Code, direct canvas editing, and brand lockdown controls for admins. * Claude Design now shares usage limits with chat, Claude Code, and Claude Cowork. The separate design allowance that users burned through in minutes is gone. * It is browser only on Mac, Windows, and Linux. There is no native Claude Design app, and any third-party ".dmg" or ".exe" download claiming to be one is not from Anthropic. * You now pick the model inside Claude Design, choosing between Fable 5, Opus 4.8, Sonnet 5et Haiku 4.5, alongside an Effort setting. The "powered by Opus 4.7" line from the April launch post is out of date. What is Claude Design? Claude Design is a prompt-based design surface built by Anthropic Labs, the team inside Anthropic that ships experimental products. You describe what you want in plain English, and Claude generates a working design on a side-by-side canvas. You refine it through chat, inline comments, direct manipulation, and layout controls that adjust spacing, color, typography, and alignment. The product is documented in Anthropic's launch announcement. It launched on April 17, 2026, three days after Anthropic CPO Mike Krieger stepped off Figma's board, a resignation TechCrunch dated to April 14. It arrived as a research preview and moved to beta with the June update. At launch it ran on one fixed model, Claude Opus 4.7, which Anthropic then called its most capable vision model. That is no longer how it works. Claude Design now ships a model picker, and you choose the model yourself. Claude Design accepts a wide range of inputs. You can drop in screenshots, photos, DOCX, PPTXet XLSX files, or point it at a GitHub repository so Claude reads your real components. There is also a web capture tool that grabs elements directly from your own website, so prototypes look like the real product. Anything you build can be shared inside your organization with view-only, comment, or edit permissions. Who is Claude Design for? The tool serves three core audiences. Founders and product managers who need a clickable prototype before they brief a designer. Sales and marketing teams who need a polished pitch deck today, not next week. Engineers who want to sketch an internal admin UI without leaving Claude. Designers themselves are not the primary target, and Claude Design complements tools like Figma and Canva rather than replacing them. What changed in the June 2026 Claude Design update Exactly two months after launch, Anthropic shipped a major Claude Design update on June 17, 2026. The theme was brand consistency and getting designs into production code, and it also fixed the tool's most complained-about flaw. The full changelog is in Anthropic's June 17 announcement. Here is what actually matters. Design system imports Claude Design can now pull in one or several design systems from a GitHub repo, design files, or raw uploads. Once a system is in, Claude builds with your real components, checks its own output against your system, and corrects itself before you ever see the result. This is the difference between a mockup that looks vaguely like your product and one that uses your actual buttons, cards, and tokens. The /design-sync round trip with Claude Code The headline feature is two-way traffic with Claude Code. Running /design-sync inside Claude Code pulls your local codebase's design system into Claude Design, so every prototype starts from existing components instead of approximations. A /design command in the Claude Code terminal lets developers create, edit, and sync design projects without leaving their workflow. The trip back is just as short. When a design is ready, it hands off to Claude Code, which picks up where you left off with no screenshot and no rebuild. If you are already living in the terminal, our roundup of the best Claude Code skills covers what else you can bolt onto that workflow. Direct canvas editing Claude Design used to route almost every tweak through the chat pane. The update added rich layout controls that let you drag, resize, and align elements directly on the canvas. You still ask Claude for the big structural changes, but nudging a card two pixels left no longer costs you a prompt. Brand controls for Team and Enterprise Larger organizations get a new admin role that can approve a single standard design system and lock down edits. Every asset Claude produces then conforms to company guidelines, which is what turns Claude Design from a prototyping toy into something a brand team will actually sign off on. Shared usage limits, the token-burn fix This is the change that matters most to your wallet. At launch, Claude Design metered usage from its own small allowance, and it drained fast. PCWorld reviewer Ben Patterson burned 80% of his weekly Claude Design allowance in roughly 25 minutes on the Pro plan, producing three variations of a single webpage prototype. His review was headlined "I tried Claude Design for half an hour. I'm already locked out for a week." Anthropic scrapped that model. Claude Design now shares usage limits with chat, Claude Code, and Claude Cowork, so there is no separate design allowance to track and you draw from one larger pool. Anthropic also says it cut average token consumption per turn while holding output quality, and that error rates dropped sharply. Which model powers Claude Design? This is the question almost every other guide still gets wrong. Anthropic's April launch post said Claude Design ran on Claude Opus 4.7, and that page has never been updated, so write-ups keep repeating it. Open the product today and it is plainly false. Claude Design carries the same model picker as the rest of Claude, and Anthropic's support documentation lists Claude Design among the surfaces where organization model-access settings apply, right next to chat, Cowork, and Claude Code. The model picker: Fable 5, Opus 4.8, Sonnet 5, and Haiku 4.5 Open the Model dropdown in the prompt composer and you get four models. Fable 5 is pitched for your toughest challenges, Opus 4.8 for complex tasks, Sonnet 5 as the efficient everyday pick, and Haiku 4.5 for fast answers. A More models row opens the rest of the catalogue. No single model "powers" Claude Design any more, so the honest answer is that you decide, per project. In practice, Sonnet 5 is enough for most slide decks, one-pagers, and simple mockups, and it is the cheapest way to iterate. Step up to Opus 4.8 or Fable 5 when you are building a dense interactive prototype or working against an imported design system, where the model has to hold a lot of structure in its head at once. Drop to Haiku 4.5 for quick throwaway variations. The Effort control Underneath the model list sits Effort, which defaults to High. Effort trades intelligence against speed and usage, and Anthropic documents the full ladder as Low, Medium, High, Extra high, and Max in its guide to model, effort, and thinking settings. Because design work now draws from your shared pool, turning Effort down on rough drafts is the single easiest way to stretch a subscription further. Admins get a say too. Since July 1, 2026, Enterprise administrators can restrict both which models their users can reach and which effort levels they are allowed to set, which is the same rollout that brought the picker into Claude Design in the first place. Fable 5 and the included-usage window Claude Fable 5 launched on June 9, 2026 and sits above Opus 4.8 as Anthropic's most capable widely released model, with a 1 million token context window and API pricing of $10 per million input tokens and $50 per million output tokens. That capability is not free-flowing. Anthropic includes Fable 5 on paid plans for up to 50% of your weekly usage limit, after which you switch models or buy usage credits, as set out in its Fable 5 redeployment note. That inclusion window is promotional and Anthropic keeps extending it, first to July 7, then July 12, then July 19, 2026. The picker prints the current deadline next to Fable 5, so check the label before you commit a long session to it. Free plans never had access, and standard Enterprise seats are excluded. How to access Claude Design Claude Design is a browser-based product at claude.ai/design. It works identically on Mac, Windows, and Linux because all generation happens on Anthropic's cloud. There is no native Claude Design app for any operating system and no separate desktop installer. Here are the four steps to get in. Optionally, run /design-sync in Claude Code first to import your team's design system, so generations stay on-brand from the very first prompt. Once you are in, you write a prompt in the left chat pane, watch the design build on the right canvas, then fine-tune with the layout controls or by dragging elements directly. Using Claude Design on Mac, Windows, and Linux Because the heavy generation runs on Anthropic's cloud, any Apple silicon Mac, from the original M1 right through the current M5, runs Claude Design identically to a Windows laptop or a Linux desktop. You do not need a discrete GPU, and the Mac mini, MacBook Air, and entry-level MacBook Pro all handle the canvas without lag. The same goes for an average Windows ultrabook. If you build dense interactive prototypes, a larger display helps, because the chat pane and canvas sit side by side. Many Mac users prefer to run Claude Design inside the official Claude Desktop app for macOS, which you can download from claude.com/download. It gives Claude a dedicated window away from your browser tabs. The desktop app is not required, but it is the cleanest setup if you work in Claude all day. What you can build with Claude Design Claude Design starts you from five templates, Prototype, Slides, Document, Wireframe, and Animation, or from a blank prompt if you would rather just describe what you want. Each one is refined through conversation afterwards. Below are five concrete use cases with the kind of prompt that gets the best result on the first try. Two of those templates are easy to overlook. Wireframe deliberately strips the output back to low-fidelity structure, which is what you want when the argument is about layout rather than polish. Animation produces motion, and because Claude Design renders slides as HTML rather than PowerPoint, Anthropic's own presentation tutorial notes that it can animate transitions to carry a story across a deck. 1. Pitch decks and quarterly business reviews You describe the deck including target audience, slide count, and key data points, and Claude builds the full deck in PPTX format. Example prompt: "Build a 12-slide Series A pitch deck for a B2B SaaS analytics startup. Include problem, solution, market size, traction, business model, team, and ask. Use a minimal style with our blue and grey brand colors." The output drops straight into Microsoft PowerPoint, Apple Keynote, or Google Slides. For deeper presentation workflows, see our guide on how to use AI in PowerPoint. 2. Interactive prototypes for new features Product teams use Claude Design to make a feature tangible before they brief engineering. Example prompt: "Design a 5-screen onboarding flow for a fitness tracking app. Include a welcome screen, goal selection, profile setup, permission requests, and a celebration screen. Use a light theme with sans-serif type." Because the canvas renders real HTML, CSS, and JavaScript, every prototype is clickable and scrollable in the browser. You share the link with stakeholders, collect comments inline, then iterate without leaving the chat. 3. Landing page mockups and one-pagers Founders without a designer use Claude Design to draft a marketing site or sales one-pager in minutes. Example prompt: "Create a SaaS landing page for an AI invoice tool aimed at freelancers. Include a hero, three feature blocks, a pricing table, FAQ, and a CTA footer. Match the layout conventions of modern fintech landing pages." Uploading screenshots of pages you admire pulls real reference material into the prompt, which keeps the output anchored to actual conventions instead of generic templates. If you already have a site, the web capture tool grabs elements from it so the mockup matches your live product. 4. Mockups built on your real design system This use case got dramatically stronger in June. Import your design system from a GitHub repo, design files, or raw uploads, and a new dashboard mockup will use your actual buttons, cards, modals, and tokens. Claude validates its output against the system and fixes deviations before showing you anything, so designs become drop-in references for the next sprint rather than throwaways. When you are ready to ship, click Handoff to Claude Code and send the design to a local Claude Code agent or to Claude Code on the web. Claude Code picks up the design without starting over, so nothing gets rebuilt from a screenshot. 5. Data dashboards, infographics, and internal tools Claude Design also handles charts, dashboards, and quick internal tools. For text-heavy infographics that demand pixel-perfect typography, ChatGPT Images 2.0 is currently a stronger pick because it specializes in dense text rendering. For interactive dashboards with editable data, Claude Design is the better fit, because the output is real code rather than a flat image. Claude Design pricing and usage limits Claude Design is not free. It is included at no extra cost with Pro, Max, Team, and Enterprise Claude plans. Since June 17, 2026 it draws from the same shared usage pool as chat, Claude Code, and Claude Cowork, so there is no separate design allowance to monitor. Here is what each plan costs, and our full Claude pricing breakdown goes deeper on API and Bedrock rates. Pro: $20 per month Claude Pro is the cheapest way into Claude Design at $20 per month, or $17 per month billed annually. It is the right plan for individual founders, marketers, and engineers who want to try Claude Design without a team contract. Design work now competes with your chat and Claude Code usage for the same pool, so a heavy prototyping session will eat into what you have left for everything else. Max 5x: $100 per month Claude Max 5x costs $100 per month and gives you 5x the Pro usage. This is the sweet spot for power users running daily Claude Design sessions alongside heavy Claude Code or Claude Cowork work, precisely because all three now share one pool. Max 20x: $200 per month Claude Max 20x costs $200 per month for 20x the Pro usage, plus priority access to Anthropic's newest features and models. This is for designers and agencies treating Claude Design as their primary visual workflow. Team and Enterprise Team Standard is $25 per seat per month ($20 annually) and Team Premium is $125 per seat per month ($100 annually). Those Team plans run from 5 to 150 seats. Enterprise is custom-priced through sales and ships with Claude Design turned off by default, so an admin must enable it in Organization settings. Once you exhaust your plan limits, Pro and Max users can switch on extra usage, sometimes called usage credits, and keep working. That overflow is billed at standard API rates rather than being included, so it is a metered top-up, not a bigger bucket. If you bought your subscription through the mobile app, you have to enable extra usage on the web. Claude Design vs Figma vs Canva vs Fello AI These four tools solve overlapping problems from different starting points. Claude Design generates from a prompt. Figma builds on a vector canvas with components. Canva assembles from templates and stock assets. Fello AI sits one level up, giving you Claude, ChatGPT, Gemini, Grok, and DeepSeek in a single app. Here is how they compare on the metrics that matter. The short verdict. Use Claude Design when you need to go from idea to interactive output fast and you already pay for Claude Pro or higher. Pick Figma for production UI work, design systems, and developer handoff at scale. Use Canva for brand-consistent marketing collateral with stock assets. Choose Fello AI at $9.99 a month when you want several frontier models in one app and you do not need a design canvas at all. Fello AI: a multi-model alternative for $9.99 a month If you do not have a paid Claude plan and you mostly need AI-generated slides, documents, and everyday creation work, Fello AI is a cheaper way in. For $9.99 a month it bundles Claude, ChatGPT, Gemini, Grok, and DeepSeek, and its PowerPoint Skill produces real .pptx files straight from a chat conversation. The app runs natively on Mac, iPhone, and iPad with cross-device sync, and it holds a 4.7-star rating across more than 27,000 reviews. The trade-off is the canvas. Fello AI does not give you a side-by-side visual editor, so it is not a replacement for a real design surface. It is the better choice when you want speed and one-app access to several models, and the weaker choice when you specifically need to push pixels. Plenty of people run both, Claude Design for work that needs a canvas and Fello AI for everything else. How Claude Design fits with Claude Cowork and Claude Code Anthropic now ships three Claude products that talk to each other, namely Claude Design, Claude Code, and Claude Cowork. The intended workflow is straightforward. Claude Design produces the visual artifact, Claude Code implements it, and Claude Cowork runs the long-horizon agent tasks on top, like research, document drafts, and analytics. The June update tightened that loop considerably. All three now share one usage pool, one set of credentials, and one billing relationship, and /design-sync plus Handoff to Claude Code are the explicit bridges between visual work and shipped code. Claude Design also sends work out to Adobe, Base44, Canva, Gamma, Lovable, Miro, Replit, Vercel, and Wix, on top of PDF and PowerPoint export. If you want quick presentation generation outside the design canvas, our guide to converting PDF to PowerPoint with AI covers that workflow. Limits and caveats Claude Design is still in beta, and the constraints below matter before you commit a workflow to it. Enterprise organizations have it disabled by default and need an admin to opt in. Anthropic has never corrected its April launch post, which still claims the tool runs on Opus 4.7, so plenty of secondhand write-ups repeat a model claim the live product flatly contradicts. Whichever model you pick, its vision and reasoning limits apply to your designs as well. And because design work now draws from your shared pool, a long prototyping session directly reduces what you have left for chat and Claude Code. On capability, the honest boundaries hold. For brand-heavy marketing collateral with consistent assets across dozens of pieces, Canva still wins. For complex multi-screen design systems with tight pixel precision, Figma still wins. Claude Design is at its best on the first 80% of a design, and most teams will hand the last 20% to a real designer. Anthropic has also shipped Claude Dreaming, its agent memory feature, which is worth watching if you plan to keep design sessions context-aware across weeks. Conclusion Claude Design spent its first two months as an impressive demo with a punishing usage cap. The June 17 update fixed the cap, taught it your design system, and wired it directly into Claude Code, which is what turns it into something you can actually put in a workflow. If you already pay for Claude Pro, Max, Team, or Enterprise, open claude.ai/design and run one of the example prompts above, and run /design-sync first if you have a codebase worth matching. If you do not have a Claude subscription and you want several frontier models in one native Mac app instead, download Fello AI on the App Store. To compare the underlying models powering all of this, see our best AI models guide. If you are weighing the two big AI visual tools against each other, our head-to-head on Claude Design vs ChatGPT Images 2.0 breaks down which one wins for slides and mockups, and our walkthrough on how to use ChatGPT Images 2.0 to create visuals covers the OpenAI side in practice.
Claude Design: Anthropic's AI Tool (Access, Pricing, Uses)
Claude Design is Anthropic's prompt-based design workspace, and more than one million people used it in its first week. It turns plain English into editable slides, interactive prototypes, mockups, and one-page assets, then exports them to PDF, PPTX, Canva, standalone HTML, or straight into Claude Code. It launched on April 17, 2026, lives at claude.ai/design, and on launch day Figma's stock fell about 7%, according to Gizmodo. Claude Design got a major overhaul on June 17, 2026 that changed how it works and what it costs you in usage. It now imports your real design system, round-trips with Claude Code through a /design-sync command, lets you drag and resize elements directly on the canvas, and draws from your shared Claude usage pool instead of a small separate allowance. You also now pick which Claude model does the work. This guide covers what Claude Design is, how to access it on Mac, Windows, and Linux, what each plan costs, what you can build with it, and how it stacks up against Figma and Canva. The Key Takeaways * Claude Design is in beta on Pro, Max, Team, and Enterprise plans and included with your subscription. There is no free tier, and Enterprise has it off by default. * The June 17, 2026 update added design system imports, a two-way /design-sync round trip with Claude Code, direct canvas editing, and brand lockdown controls for admins. * Claude Design now shares usage limits with chat, Claude Code, and Claude Cowork. The separate design allowance that users burned through in minutes is gone. * It is browser only on Mac, Windows, and Linux. There is no native Claude Design app, and any third-party ".dmg" or ".exe" download claiming to be one is not from Anthropic. * You now pick the model inside Claude Design, choosing between Fable 5, Opus 4.8, Sonnet 5a Haiku 4.5, alongside an Effort setting. The "powered by Opus 4.7" line from the April launch post is out of date. What is Claude Design? Claude Design is a prompt-based design surface built by Anthropic Labs, the team inside Anthropic that ships experimental products. You describe what you want in plain English, and Claude generates a working design on a side-by-side canvas. You refine it through chat, inline comments, direct manipulation, and layout controls that adjust spacing, color, typography, and alignment. The product is documented in Anthropic's launch announcement. It launched on April 17, 2026, three days after Anthropic CPO Mike Krieger stepped off Figma's board, a resignation TechCrunch dated to April 14. It arrived as a research preview and moved to beta with the June update. At launch it ran on one fixed model, Claude Opus 4.7, which Anthropic then called its most capable vision model. That is no longer how it works. Claude Design now ships a model picker, and you choose the model yourself. Claude Design accepts a wide range of inputs. You can drop in screenshots, photos, DOCX, PPTXa XLSX files, or point it at a GitHub repository so Claude reads your real components. There is also a web capture tool that grabs elements directly from your own website, so prototypes look like the real product. Anything you build can be shared inside your organization with view-only, comment, or edit permissions. Who is Claude Design for? The tool serves three core audiences. Founders and product managers who need a clickable prototype before they brief a designer. Sales and marketing teams who need a polished pitch deck today, not next week. Engineers who want to sketch an internal admin UI without leaving Claude. Designers themselves are not the primary target, and Claude Design complements tools like Figma and Canva rather than replacing them. What changed in the June 2026 Claude Design update Exactly two months after launch, Anthropic shipped a major Claude Design update on June 17, 2026. The theme was brand consistency and getting designs into production code, and it also fixed the tool's most complained-about flaw. The full changelog is in Anthropic's June 17 announcement. Here is what actually matters. Design system imports Claude Design can now pull in one or several design systems from a GitHub repo, design files, or raw uploads. Once a system is in, Claude builds with your real components, checks its own output against your system, and corrects itself before you ever see the result. This is the difference between a mockup that looks vaguely like your product and one that uses your actual buttons, cards, and tokens. The /design-sync round trip with Claude Code The headline feature is two-way traffic with Claude Code. Running /design-sync inside Claude Code pulls your local codebase's design system into Claude Design, so every prototype starts from existing components instead of approximations. A /design command in the Claude Code terminal lets developers create, edit, and sync design projects without leaving their workflow. The trip back is just as short. When a design is ready, it hands off to Claude Code, which picks up where you left off with no screenshot and no rebuild. If you are already living in the terminal, our roundup of the best Claude Code skills covers what else you can bolt onto that workflow. Direct canvas editing Claude Design used to route almost every tweak through the chat pane. The update added rich layout controls that let you drag, resize, and align elements directly on the canvas. You still ask Claude for the big structural changes, but nudging a card two pixels left no longer costs you a prompt. Brand controls for Team and Enterprise Larger organizations get a new admin role that can approve a single standard design system and lock down edits. Every asset Claude produces then conforms to company guidelines, which is what turns Claude Design from a prototyping toy into something a brand team will actually sign off on. Shared usage limits, the token-burn fix This is the change that matters most to your wallet. At launch, Claude Design metered usage from its own small allowance, and it drained fast. PCWorld reviewer Ben Patterson burned 80% of his weekly Claude Design allowance in roughly 25 minutes on the Pro plan, producing three variations of a single webpage prototype. His review was headlined "I tried Claude Design for half an hour. I'm already locked out for a week." Anthropic scrapped that model. Claude Design now shares usage limits with chat, Claude Code, and Claude Cowork, so there is no separate design allowance to track and you draw from one larger pool. Anthropic also says it cut average token consumption per turn while holding output quality, and that error rates dropped sharply. Which model powers Claude Design? This is the question almost every other guide still gets wrong. Anthropic's April launch post said Claude Design ran on Claude Opus 4.7, and that page has never been updated, so write-ups keep repeating it. Open the product today and it is plainly false. Claude Design carries the same model picker as the rest of Claude, and Anthropic's support documentation lists Claude Design among the surfaces where organization model-access settings apply, right next to chat, Cowork, and Claude Code. The model picker: Fable 5, Opus 4.8, Sonnet 5, and Haiku 4.5 Open the Model dropdown in the prompt composer and you get four models. Fable 5 is pitched for your toughest challenges, Opus 4.8 for complex tasks, Sonnet 5 as the efficient everyday pick, and Haiku 4.5 for fast answers. A More models row opens the rest of the catalogue. No single model "powers" Claude Design any more, so the honest answer is that you decide, per project. In practice, Sonnet 5 is enough for most slide decks, one-pagers, and simple mockups, and it is the cheapest way to iterate. Step up to Opus 4.8 or Fable 5 when you are building a dense interactive prototype or working against an imported design system, where the model has to hold a lot of structure in its head at once. Drop to Haiku 4.5 for quick throwaway variations. The Effort control Underneath the model list sits Effort, which defaults to High. Effort trades intelligence against speed and usage, and Anthropic documents the full ladder as Low, Medium, High, Extra high, and Max in its guide to model, effort, and thinking settings. Because design work now draws from your shared pool, turning Effort down on rough drafts is the single easiest way to stretch a subscription further. Admins get a say too. Since July 1, 2026, Enterprise administrators can restrict both which models their users can reach and which effort levels they are allowed to set, which is the same rollout that brought the picker into Claude Design in the first place. Fable 5 and the included-usage window Claude Fable 5 launched on June 9, 2026 and sits above Opus 4.8 as Anthropic's most capable widely released model, with a 1 million token context window and API pricing of $10 per million input tokens a $50 per million output tokens. That capability is not free-flowing. Anthropic includes Fable 5 on paid plans for up to 50% of your weekly usage limit, after which you switch models or buy usage credits, as set out in its Fable 5 redeployment note. That inclusion window is promotional and Anthropic keeps extending it, first to July 7, then July 12, then July 19, 2026. The picker prints the current deadline next to Fable 5, so check the label before you commit a long session to it. Free plans never had access, and standard Enterprise seats are excluded. How to access Claude Design Claude Design is a browser-based product at claude.ai/design. It works identically on Mac, Windows, and Linux because all generation happens on Anthropic's cloud. There is no native Claude Design app for any operating system and no separate desktop installer. Here are the four steps to get in. Optionally, run /design-sync in Claude Code first to import your team's design system, so generations stay on-brand from the very first prompt. Once you are in, you write a prompt in the left chat pane, watch the design build on the right canvas, then fine-tune with the layout controls or by dragging elements directly. Using Claude Design on Mac, Windows, and Linux Because the heavy generation runs on Anthropic's cloud, any Apple silicon Mac, from the original M1 right through the current M5, runs Claude Design identically to a Windows laptop or a Linux desktop. You do not need a discrete GPU, and the Mac mini, MacBook Air, and entry-level MacBook Pro all handle the canvas without lag. The same goes for an average Windows ultrabook. If you build dense interactive prototypes, a larger display helps, because the chat pane and canvas sit side by side. Many Mac users prefer to run Claude Design inside the official Claude Desktop app for macOS, which you can download from claude.com/download. It gives Claude a dedicated window away from your browser tabs. The desktop app is not required, but it is the cleanest setup if you work in Claude all day. What you can build with Claude Design Claude Design starts you from five templates, Prototype, Slides, Document, Wireframe, and Animation, or from a blank prompt if you would rather just describe what you want. Each one is refined through conversation afterwards. Below are five concrete use cases with the kind of prompt that gets the best result on the first try. Two of those templates are easy to overlook. Wireframe deliberately strips the output back to low-fidelity structure, which is what you want when the argument is about layout rather than polish. Animation produces motion, and because Claude Design renders slides as HTML rather than PowerPoint, Anthropic's own presentation tutorial notes that it can animate transitions to carry a story across a deck. 1. Pitch decks and quarterly business reviews You describe the deck including target audience, slide count, and key data points, and Claude builds the full deck in PPTX format. Example prompt: "Build a 12-slide Series A pitch deck for a B2B SaaS analytics startup. Include problem, solution, market size, traction, business model, team, and ask. Use a minimal style with our blue and grey brand colors." The output drops straight into Microsoft PowerPoint, Apple Keynote, or Google Slides. For deeper presentation workflows, see our guide on how to use AI in PowerPoint. 2. Interactive prototypes for new features Product teams use Claude Design to make a feature tangible before they brief engineering. Example prompt: "Design a 5-screen onboarding flow for a fitness tracking app. Include a welcome screen, goal selection, profile setup, permission requests, and a celebration screen. Use a light theme with sans-serif type." Because the canvas renders real HTML, CSS, and JavaScript, every prototype is clickable and scrollable in the browser. You share the link with stakeholders, collect comments inline, then iterate without leaving the chat. 3. Landing page mockups and one-pagers Founders without a designer use Claude Design to draft a marketing site or sales one-pager in minutes. Example prompt: "Create a SaaS landing page for an AI invoice tool aimed at freelancers. Include a hero, three feature blocks, a pricing table, FAQ, and a CTA footer. Match the layout conventions of modern fintech landing pages." Uploading screenshots of pages you admire pulls real reference material into the prompt, which keeps the output anchored to actual conventions instead of generic templates. If you already have a site, the web capture tool grabs elements from it so the mockup matches your live product. 4. Mockups built on your real design system This use case got dramatically stronger in June. Import your design system from a GitHub repo, design files, or raw uploads, and a new dashboard mockup will use your actual buttons, cards, modals, and tokens. Claude validates its output against the system and fixes deviations before showing you anything, so designs become drop-in references for the next sprint rather than throwaways. When you are ready to ship, click Handoff to Claude Code and send the design to a local Claude Code agent or to Claude Code on the web. Claude Code picks up the design without starting over, so nothing gets rebuilt from a screenshot. 5. Data dashboards, infographics, and internal tools Claude Design also handles charts, dashboards, and quick internal tools. For text-heavy infographics that demand pixel-perfect typography, ChatGPT Images 2.0 is currently a stronger pick because it specializes in dense text rendering. For interactive dashboards with editable data, Claude Design is the better fit, because the output is real code rather than a flat image. Claude Design pricing and usage limits Claude Design is not free. It is included at no extra cost with Pro, Max, Team, and Enterprise Claude plans. Since June 17, 2026 it draws from the same shared usage pool as chat, Claude Code, and Claude Cowork, so there is no separate design allowance to monitor. Here is what each plan costs, and our full Claude pricing breakdown goes deeper on API and Bedrock rates. Pro: $20 per month Claude Pro is the cheapest way into Claude Design at $20 per month, or $17 per month billed annually. It is the right plan for individual founders, marketers, and engineers who want to try Claude Design without a team contract. Design work now competes with your chat and Claude Code usage for the same pool, so a heavy prototyping session will eat into what you have left for everything else. Max 5x: $100 per month Claude Max 5x costs $100 per month and gives you 5x the Pro usage. This is the sweet spot for power users running daily Claude Design sessions alongside heavy Claude Code or Claude Cowork work, precisely because all three now share one pool. Max 20x: $200 per month Claude Max 20x costs $200 per month for 20x the Pro usage, plus priority access to Anthropic's newest features and models. This is for designers and agencies treating Claude Design as their primary visual workflow. Team and Enterprise Team Standard is $25 per seat per month ($20 annually) and Team Premium is $125 per seat per month ($100 annually). Those Team plans run from 5 to 150 seats. Enterprise is custom-priced through sales and ships with Claude Design turned off by default, so an admin must enable it in Organization settings. Once you exhaust your plan limits, Pro and Max users can switch on extra usage, sometimes called usage credits, and keep working. That overflow is billed at standard API rates rather than being included, so it is a metered top-up, not a bigger bucket. If you bought your subscription through the mobile app, you have to enable extra usage on the web. Claude Design vs Figma vs Canva vs Fello AI These four tools solve overlapping problems from different starting points. Claude Design generates from a prompt. Figma builds on a vector canvas with components. Canva assembles from templates and stock assets. Fello AI sits one level up, giving you Claude, ChatGPT, Gemini, Grok, and DeepSeek in a single app. Here is how they compare on the metrics that matter. The short verdict. Use Claude Design when you need to go from idea to interactive output fast and you already pay for Claude Pro or higher. Pick Figma for production UI work, design systems, and developer handoff at scale. Use Canva for brand-consistent marketing collateral with stock assets. Choose Fello AI at $9.99 a month when you want several frontier models in one app and you do not need a design canvas at all. Fello AI: a multi-model alternative for $9.99 a month If you do not have a paid Claude plan and you mostly need AI-generated slides, documents, and everyday creation work, Fello AI is a cheaper way in. For $9.99 a month it bundles Claude, ChatGPT, Gemini, Grok, and DeepSeek, and its PowerPoint Skill produces real .pptx files straight from a chat conversation. The app runs natively on Mac, iPhone, and iPad with cross-device sync, and it holds a 4.7-star rating across more than 27,000 reviews. The trade-off is the canvas. Fello AI does not give you a side-by-side visual editor, so it is not a replacement for a real design surface. It is the better choice when you want speed and one-app access to several models, and the weaker choice when you specifically need to push pixels. Plenty of people run both, Claude Design for work that needs a canvas and Fello AI for everything else. How Claude Design fits with Claude Cowork and Claude Code Anthropic now ships three Claude products that talk to each other, namely Claude Design, Claude Code, and Claude Cowork. The intended workflow is straightforward. Claude Design produces the visual artifact, Claude Code implements it, and Claude Cowork runs the long-horizon agent tasks on top, like research, document drafts, and analytics. The June update tightened that loop considerably. All three now share one usage pool, one set of credentials, and one billing relationship, and /design-sync plus Handoff to Claude Code are the explicit bridges between visual work and shipped code. Claude Design also sends work out to Adobe, Base44, Canva, Gamma, Lovable, Miro, Replit, Vercel, and Wix, on top of PDF and PowerPoint export. If you want quick presentation generation outside the design canvas, our guide to converting PDF to PowerPoint with AI covers that workflow. Limits and caveats Claude Design is still in beta, and the constraints below matter before you commit a workflow to it. Enterprise organizations have it disabled by default and need an admin to opt in. Anthropic has never corrected its April launch post, which still claims the tool runs on Opus 4.7, so plenty of secondhand write-ups repeat a model claim the live product flatly contradicts. Whichever model you pick, its vision and reasoning limits apply to your designs as well. And because design work now draws from your shared pool, a long prototyping session directly reduces what you have left for chat and Claude Code. On capability, the honest boundaries hold. For brand-heavy marketing collateral with consistent assets across dozens of pieces, Canva still wins. For complex multi-screen design systems with tight pixel precision, Figma still wins. Claude Design is at its best on the first 80% of a design, and most teams will hand the last 20% to a real designer. Anthropic has also shipped Claude Dreaming, its agent memory feature, which is worth watching if you plan to keep design sessions context-aware across weeks. Závěr Claude Design spent its first two months as an impressive demo with a punishing usage cap. The June 17 update fixed the cap, taught it your design system, and wired it directly into Claude Code, which is what turns it into something you can actually put in a workflow. If you already pay for Claude Pro, Max, Team, or Enterprise, open claude.ai/design and run one of the example prompts above, and run /design-sync first if you have a codebase worth matching. If you do not have a Claude subscription and you want several frontier models in one native Mac app instead, download Fello AI on the App Store. To compare the underlying models powering all of this, see our best AI models guide. If you are weighing the two big AI visual tools against each other, our head-to-head on Claude Design vs ChatGPT Images 2.0 breaks down which one wins for slides and mockups, and our walkthrough on how to use ChatGPT Images 2.0 to create visuals covers the OpenAI side in practice.
Claude Design: Anthropic's AI Tool (Access, Pricing, Uses)
Claude Design is Anthropic's prompt-based design workspace, and more than one million people used it in its first week. It turns plain English into editable slides, interactive prototypes, mockups, and one-page assets, then exports them to PDF, PPTX, Canva, standalone HTML, or straight into Claude Code. It launched on April 17, 2026, lives at claude.ai/design, and on launch day Figma's stock fell about 7%, according to Gizmodo. Claude Design got a major overhaul on June 17, 2026 that changed how it works and what it costs you in usage. It now imports your real design system, round-trips with Claude Code through a /design-sync command, lets you drag and resize elements directly on the canvas, and draws from your shared Claude usage pool instead of a small separate allowance. You also now pick which Claude model does the work. This guide covers what Claude Design is, how to access it on Mac, Windows, and Linux, what each plan costs, what you can build with it, and how it stacks up against Figma and Canva. The Key Takeaways * Claude Design is in beta on Pro, Max, Team, and Enterprise plans and included with your subscription. There is no free tier, and Enterprise has it off by default. * The June 17, 2026 update added design system imports, a two-way /design-sync round trip with Claude Code, direct canvas editing, and brand lockdown controls for admins. * Claude Design now shares usage limits with chat, Claude Code, and Claude Cowork. The separate design allowance that users burned through in minutes is gone. * It is browser only on Mac, Windows, and Linux. There is no native Claude Design app, and any third-party ".dmg" or ".exe" download claiming to be one is not from Anthropic. * You now pick the model inside Claude Design, choosing between Fable 5, Opus 4.8, Sonnet 5, y Haiku 4.5, alongside an Effort setting. The "powered by Opus 4.7" line from the April launch post is out of date. What is Claude Design? Claude Design is a prompt-based design surface built by Anthropic Labs, the team inside Anthropic that ships experimental products. You describe what you want in plain English, and Claude generates a working design on a side-by-side canvas. You refine it through chat, inline comments, direct manipulation, and layout controls that adjust spacing, color, typography, and alignment. The product is documented in Anthropic's launch announcement. It launched on April 17, 2026, three days after Anthropic CPO Mike Krieger stepped off Figma's board, a resignation TechCrunch dated to April 14. It arrived as a research preview and moved to beta with the June update. At launch it ran on one fixed model, Claude Opus 4.7, which Anthropic then called its most capable vision model. That is no longer how it works. Claude Design now ships a model picker, and you choose the model yourself. Claude Design accepts a wide range of inputs. You can drop in screenshots, photos, DOCX, PPTX, y XLSX files, or point it at a GitHub repository so Claude reads your real components. There is also a web capture tool that grabs elements directly from your own website, so prototypes look like the real product. Anything you build can be shared inside your organization with view-only, comment, or edit permissions. Who is Claude Design for? The tool serves three core audiences. Founders and product managers who need a clickable prototype before they brief a designer. Sales and marketing teams who need a polished pitch deck today, not next week. Engineers who want to sketch an internal admin UI without leaving Claude. Designers themselves are not the primary target, and Claude Design complements tools like Figma and Canva rather than replacing them. What changed in the June 2026 Claude Design update Exactly two months after launch, Anthropic shipped a major Claude Design update on June 17, 2026. The theme was brand consistency and getting designs into production code, and it also fixed the tool's most complained-about flaw. The full changelog is in Anthropic's June 17 announcement. Here is what actually matters. Design system imports Claude Design can now pull in one or several design systems from a GitHub repo, design files, or raw uploads. Once a system is in, Claude builds with your real components, checks its own output against your system, and corrects itself before you ever see the result. This is the difference between a mockup that looks vaguely like your product and one that uses your actual buttons, cards, and tokens. The /design-sync round trip with Claude Code The headline feature is two-way traffic with Claude Code. Running /design-sync inside Claude Code pulls your local codebase's design system into Claude Design, so every prototype starts from existing components instead of approximations. A /design command in the Claude Code terminal lets developers create, edit, and sync design projects without leaving their workflow. The trip back is just as short. When a design is ready, it hands off to Claude Code, which picks up where you left off with no screenshot and no rebuild. If you are already living in the terminal, our roundup of the best Claude Code skills covers what else you can bolt onto that workflow. Direct canvas editing Claude Design used to route almost every tweak through the chat pane. The update added rich layout controls that let you drag, resize, and align elements directly on the canvas. You still ask Claude for the big structural changes, but nudging a card two pixels left no longer costs you a prompt. Brand controls for Team and Enterprise Larger organizations get a new admin role that can approve a single standard design system and lock down edits. Every asset Claude produces then conforms to company guidelines, which is what turns Claude Design from a prototyping toy into something a brand team will actually sign off on. Shared usage limits, the token-burn fix This is the change that matters most to your wallet. At launch, Claude Design metered usage from its own small allowance, and it drained fast. PCWorld reviewer Ben Patterson burned 80% of his weekly Claude Design allowance in roughly 25 minutes on the Pro plan, producing three variations of a single webpage prototype. His review was headlined "I tried Claude Design for half an hour. I'm already locked out for a week." Anthropic scrapped that model. Claude Design now shares usage limits with chat, Claude Code, and Claude Cowork, so there is no separate design allowance to track and you draw from one larger pool. Anthropic also says it cut average token consumption per turn while holding output quality, and that error rates dropped sharply. Which model powers Claude Design? This is the question almost every other guide still gets wrong. Anthropic's April launch post said Claude Design ran on Claude Opus 4.7, and that page has never been updated, so write-ups keep repeating it. Open the product today and it is plainly false. Claude Design carries the same model picker as the rest of Claude, and Anthropic's support documentation lists Claude Design among the surfaces where organization model-access settings apply, right next to chat, Cowork, and Claude Code. The model picker: Fable 5, Opus 4.8, Sonnet 5, and Haiku 4.5 Open the Model dropdown in the prompt composer and you get four models. Fable 5 is pitched for your toughest challenges, Opus 4.8 for complex tasks, Sonnet 5 as the efficient everyday pick, and Haiku 4.5 for fast answers. A More models row opens the rest of the catalogue. No single model "powers" Claude Design any more, so the honest answer is that you decide, per project. In practice, Sonnet 5 is enough for most slide decks, one-pagers, and simple mockups, and it is the cheapest way to iterate. Step up to Opus 4.8 or Fable 5 when you are building a dense interactive prototype or working against an imported design system, where the model has to hold a lot of structure in its head at once. Drop to Haiku 4.5 for quick throwaway variations. The Effort control Underneath the model list sits Effort, which defaults to High. Effort trades intelligence against speed and usage, and Anthropic documents the full ladder as Low, Medium, High, Extra high, and Max in its guide to model, effort, and thinking settings. Because design work now draws from your shared pool, turning Effort down on rough drafts is the single easiest way to stretch a subscription further. Admins get a say too. Since July 1, 2026, Enterprise administrators can restrict both which models their users can reach and which effort levels they are allowed to set, which is the same rollout that brought the picker into Claude Design in the first place. Fable 5 and the included-usage window Claude Fable 5 launched on June 9, 2026 and sits above Opus 4.8 as Anthropic's most capable widely released model, with a 1 million token context window and API pricing of $10 per million input tokens y $50 per million output tokens. That capability is not free-flowing. Anthropic includes Fable 5 on paid plans for up to 50% of your weekly usage limit, after which you switch models or buy usage credits, as set out in its Fable 5 redeployment note. That inclusion window is promotional and Anthropic keeps extending it, first to July 7, then July 12, then July 19, 2026. The picker prints the current deadline next to Fable 5, so check the label before you commit a long session to it. Free plans never had access, and standard Enterprise seats are excluded. How to access Claude Design Claude Design is a browser-based product at claude.ai/design. It works identically on Mac, Windows, and Linux because all generation happens on Anthropic's cloud. There is no native Claude Design app for any operating system and no separate desktop installer. Here are the four steps to get in. Optionally, run /design-sync in Claude Code first to import your team's design system, so generations stay on-brand from the very first prompt. Once you are in, you write a prompt in the left chat pane, watch the design build on the right canvas, then fine-tune with the layout controls or by dragging elements directly. Using Claude Design on Mac, Windows, and Linux Because the heavy generation runs on Anthropic's cloud, any Apple silicon Mac, from the original M1 right through the current M5, runs Claude Design identically to a Windows laptop or a Linux desktop. You do not need a discrete GPU, and the Mac mini, MacBook Air, and entry-level MacBook Pro all handle the canvas without lag. The same goes for an average Windows ultrabook. If you build dense interactive prototypes, a larger display helps, because the chat pane and canvas sit side by side. Many Mac users prefer to run Claude Design inside the official Claude Desktop app for macOS, which you can download from claude.com/download. It gives Claude a dedicated window away from your browser tabs. The desktop app is not required, but it is the cleanest setup if you work in Claude all day. What you can build with Claude Design Claude Design starts you from five templates, Prototype, Slides, Document, Wireframe, and Animation, or from a blank prompt if you would rather just describe what you want. Each one is refined through conversation afterwards. Below are five concrete use cases with the kind of prompt that gets the best result on the first try. Two of those templates are easy to overlook. Wireframe deliberately strips the output back to low-fidelity structure, which is what you want when the argument is about layout rather than polish. Animation produces motion, and because Claude Design renders slides as HTML rather than PowerPoint, Anthropic's own presentation tutorial notes that it can animate transitions to carry a story across a deck. 1. Pitch decks and quarterly business reviews You describe the deck including target audience, slide count, and key data points, and Claude builds the full deck in PPTX format. Example prompt: "Build a 12-slide Series A pitch deck for a B2B SaaS analytics startup. Include problem, solution, market size, traction, business model, team, and ask. Use a minimal style with our blue and grey brand colors." The output drops straight into Microsoft PowerPoint, Apple Keynote, or Google Slides. For deeper presentation workflows, see our guide on how to use AI in PowerPoint. 2. Interactive prototypes for new features Product teams use Claude Design to make a feature tangible before they brief engineering. Example prompt: "Design a 5-screen onboarding flow for a fitness tracking app. Include a welcome screen, goal selection, profile setup, permission requests, and a celebration screen. Use a light theme with sans-serif type." Because the canvas renders real HTML, CSS, and JavaScript, every prototype is clickable and scrollable in the browser. You share the link with stakeholders, collect comments inline, then iterate without leaving the chat. 3. Landing page mockups and one-pagers Founders without a designer use Claude Design to draft a marketing site or sales one-pager in minutes. Example prompt: "Create a SaaS landing page for an AI invoice tool aimed at freelancers. Include a hero, three feature blocks, a pricing table, FAQ, and a CTA footer. Match the layout conventions of modern fintech landing pages." Uploading screenshots of pages you admire pulls real reference material into the prompt, which keeps the output anchored to actual conventions instead of generic templates. If you already have a site, the web capture tool grabs elements from it so the mockup matches your live product. 4. Mockups built on your real design system This use case got dramatically stronger in June. Import your design system from a GitHub repo, design files, or raw uploads, and a new dashboard mockup will use your actual buttons, cards, modals, and tokens. Claude validates its output against the system and fixes deviations before showing you anything, so designs become drop-in references for the next sprint rather than throwaways. When you are ready to ship, click Handoff to Claude Code and send the design to a local Claude Code agent or to Claude Code on the web. Claude Code picks up the design without starting over, so nothing gets rebuilt from a screenshot. 5. Data dashboards, infographics, and internal tools Claude Design also handles charts, dashboards, and quick internal tools. For text-heavy infographics that demand pixel-perfect typography, ChatGPT Images 2.0 is currently a stronger pick because it specializes in dense text rendering. For interactive dashboards with editable data, Claude Design is the better fit, because the output is real code rather than a flat image. Claude Design pricing and usage limits Claude Design is not free. It is included at no extra cost with Pro, Max, Team, and Enterprise Claude plans. Since June 17, 2026 it draws from the same shared usage pool as chat, Claude Code, and Claude Cowork, so there is no separate design allowance to monitor. Here is what each plan costs, and our full Claude pricing breakdown goes deeper on API and Bedrock rates. Pro: $20 per month Claude Pro is the cheapest way into Claude Design at $20 per montho $17 per month billed annually. It is the right plan for individual founders, marketers, and engineers who want to try Claude Design without a team contract. Design work now competes with your chat and Claude Code usage for the same pool, so a heavy prototyping session will eat into what you have left for everything else. Max 5x: $100 per month Claude Max 5x costs $100 per month and gives you 5x the Pro usage. This is the sweet spot for power users running daily Claude Design sessions alongside heavy Claude Code or Claude Cowork work, precisely because all three now share one pool. Max 20x: $200 per month Claude Max 20x costs $200 per month for 20x the Pro usage, plus priority access to Anthropic's newest features and models. This is for designers and agencies treating Claude Design as their primary visual workflow. Team and Enterprise Team Standard is $25 per seat per month ($20 annually) and Team Premium is $125 per seat per month ($100 annually). Those Team plans run from 5 to 150 seats. Enterprise is custom-priced through sales and ships with Claude Design turned off by default, so an admin must enable it in Organization settings. Once you exhaust your plan limits, Pro and Max users can switch on extra usage, sometimes called usage credits, and keep working. That overflow is billed at standard API rates rather than being included, so it is a metered top-up, not a bigger bucket. If you bought your subscription through the mobile app, you have to enable extra usage on the web. Claude Design vs Figma vs Canva vs Fello AI These four tools solve overlapping problems from different starting points. Claude Design generates from a prompt. Figma builds on a vector canvas with components. Canva assembles from templates and stock assets. Fello AI sits one level up, giving you Claude, ChatGPT, Gemini, Grok, and DeepSeek in a single app. Here is how they compare on the metrics that matter. The short verdict. Use Claude Design when you need to go from idea to interactive output fast and you already pay for Claude Pro or higher. Pick Figma for production UI work, design systems, and developer handoff at scale. Use Canva for brand-consistent marketing collateral with stock assets. Choose Fello AI at $9.99 a month when you want several frontier models in one app and you do not need a design canvas at all. Fello AI: a multi-model alternative for $9.99 a month If you do not have a paid Claude plan and you mostly need AI-generated slides, documents, and everyday creation work, Fello AI is a cheaper way in. For $9.99 a month it bundles Claude, ChatGPT, Gemini, Grok, and DeepSeek, and its PowerPoint Skill produces real .pptx files straight from a chat conversation. The app runs natively on Mac, iPhone, and iPad with cross-device sync, and it holds a 4.7-star rating across more than 27,000 reviews. The trade-off is the canvas. Fello AI does not give you a side-by-side visual editor, so it is not a replacement for a real design surface. It is the better choice when you want speed and one-app access to several models, and the weaker choice when you specifically need to push pixels. Plenty of people run both, Claude Design for work that needs a canvas and Fello AI for everything else. How Claude Design fits with Claude Cowork and Claude Code Anthropic now ships three Claude products that talk to each other, namely Claude Design, Claude Code, and Claude Cowork. The intended workflow is straightforward. Claude Design produces the visual artifact, Claude Code implements it, and Claude Cowork runs the long-horizon agent tasks on top, like research, document drafts, and analytics. The June update tightened that loop considerably. All three now share one usage pool, one set of credentials, and one billing relationship, and /design-sync plus Handoff to Claude Code are the explicit bridges between visual work and shipped code. Claude Design also sends work out to Adobe, Base44, Canva, Gamma, Lovable, Miro, Replit, Vercel, and Wix, on top of PDF and PowerPoint export. If you want quick presentation generation outside the design canvas, our guide to converting PDF to PowerPoint with AI covers that workflow. Limits and caveats Claude Design is still in beta, and the constraints below matter before you commit a workflow to it. Enterprise organizations have it disabled by default and need an admin to opt in. Anthropic has never corrected its April launch post, which still claims the tool runs on Opus 4.7, so plenty of secondhand write-ups repeat a model claim the live product flatly contradicts. Whichever model you pick, its vision and reasoning limits apply to your designs as well. And because design work now draws from your shared pool, a long prototyping session directly reduces what you have left for chat and Claude Code. On capability, the honest boundaries hold. For brand-heavy marketing collateral with consistent assets across dozens of pieces, Canva still wins. For complex multi-screen design systems with tight pixel precision, Figma still wins. Claude Design is at its best on the first 80% of a design, and most teams will hand the last 20% to a real designer. Anthropic has also shipped Claude Dreaming, its agent memory feature, which is worth watching if you plan to keep design sessions context-aware across weeks. Conclusión Claude Design spent its first two months as an impressive demo with a punishing usage cap. The June 17 update fixed the cap, taught it your design system, and wired it directly into Claude Code, which is what turns it into something you can actually put in a workflow. If you already pay for Claude Pro, Max, Team, or Enterprise, open claude.ai/design and run one of the example prompts above, and run /design-sync first if you have a codebase worth matching. If you do not have a Claude subscription and you want several frontier models in one native Mac app instead, download Fello AI on the App Store. To compare the underlying models powering all of this, see our best AI models guide. If you are weighing the two big AI visual tools against each other, our head-to-head on Claude Design vs ChatGPT Images 2.0 breaks down which one wins for slides and mockups, and our walkthrough on how to use ChatGPT Images 2.0 to create visuals covers the OpenAI side in practice.
Claude Design: Anthropic's AI Tool (Access, Pricing, Uses)
Claude Design is Anthropic's prompt-based design workspace, and more than one million people used it in its first week. It turns plain English into editable slides, interactive prototypes, mockups, and one-page assets, then exports them to PDF, PPTX, Canva, standalone HTML, or straight into Claude Code. It launched on April 17, 2026, lives at claude.ai/design, and on launch day Figma's stock fell about 7%, according to Gizmodo. Claude Design got a major overhaul on June 17, 2026 that changed how it works and what it costs you in usage. It now imports your real design system, round-trips with Claude Code through a /design-sync command, lets you drag and resize elements directly on the canvas, and draws from your shared Claude usage pool instead of a small separate allowance. You also now pick which Claude model does the work. This guide covers what Claude Design is, how to access it on Mac, Windows, and Linux, what each plan costs, what you can build with it, and how it stacks up against Figma and Canva. The Key Takeaways * Claude Design is in beta on Pro, Max, Team, and Enterprise plans and included with your subscription. There is no free tier, and Enterprise has it off by default. * The June 17, 2026 update added design system imports, a two-way /design-sync round trip with Claude Code, direct canvas editing, and brand lockdown controls for admins. * Claude Design now shares usage limits with chat, Claude Code, and Claude Cowork. The separate design allowance that users burned through in minutes is gone. * It is browser only on Mac, Windows, and Linux. There is no native Claude Design app, and any third-party ".dmg" or ".exe" download claiming to be one is not from Anthropic. * You now pick the model inside Claude Design, choosing between Fable 5, Opus 4.8, Sonnet 5, and Haiku 4.5, alongside an Effort setting. The "powered by Opus 4.7" line from the April launch post is out of date. What is Claude Design? Claude Design is a prompt-based design surface built by Anthropic Labs, the team inside Anthropic that ships experimental products. You describe what you want in plain English, and Claude generates a working design on a side-by-side canvas. You refine it through chat, inline comments, direct manipulation, and layout controls that adjust spacing, color, typography, and alignment. The product is documented in Anthropic's launch announcement. It launched on April 17, 2026, three days after Anthropic CPO Mike Krieger stepped off Figma's board, a resignation TechCrunch dated to April 14. It arrived as a research preview and moved to beta with the June update. At launch it ran on one fixed model, Claude Opus 4.7, which Anthropic then called its most capable vision model. That is no longer how it works. Claude Design now ships a model picker, and you choose the model yourself. Claude Design accepts a wide range of inputs. You can drop in screenshots, photos, DOCX, PPTX, and XLSX files, or point it at a GitHub repository so Claude reads your real components. There is also a web capture tool that grabs elements directly from your own website, so prototypes look like the real product. Anything you build can be shared inside your organization with view-only, comment, or edit permissions. Who is Claude Design for? The tool serves three core audiences. Founders and product managers who need a clickable prototype before they brief a designer. Sales and marketing teams who need a polished pitch deck today, not next week. Engineers who want to sketch an internal admin UI without leaving Claude. Designers themselves are not the primary target, and Claude Design complements tools like Figma and Canva rather than replacing them. What changed in the June 2026 Claude Design update Exactly two months after launch, Anthropic shipped a major Claude Design update on June 17, 2026. The theme was brand consistency and getting designs into production code, and it also fixed the tool's most complained-about flaw. The full changelog is in Anthropic's June 17 announcement. Here is what actually matters. Design system imports Claude Design can now pull in one or several design systems from a GitHub repo, design files, or raw uploads. Once a system is in, Claude builds with your real components, checks its own output against your system, and corrects itself before you ever see the result. This is the difference between a mockup that looks vaguely like your product and one that uses your actual buttons, cards, and tokens. The /design-sync round trip with Claude Code The headline feature is two-way traffic with Claude Code. Running /design-sync inside Claude Code pulls your local codebase's design system into Claude Design, so every prototype starts from existing components instead of approximations. A /design command in the Claude Code terminal lets developers create, edit, and sync design projects without leaving their workflow. The trip back is just as short. When a design is ready, it hands off to Claude Code, which picks up where you left off with no screenshot and no rebuild. If you are already living in the terminal, our roundup of the best Claude Code skills covers what else you can bolt onto that workflow. Direct canvas editing Claude Design used to route almost every tweak through the chat pane. The update added rich layout controls that let you drag, resize, and align elements directly on the canvas. You still ask Claude for the big structural changes, but nudging a card two pixels left no longer costs you a prompt. Brand controls for Team and Enterprise Larger organizations get a new admin role that can approve a single standard design system and lock down edits. Every asset Claude produces then conforms to company guidelines, which is what turns Claude Design from a prototyping toy into something a brand team will actually sign off on. Shared usage limits, the token-burn fix This is the change that matters most to your wallet. At launch, Claude Design metered usage from its own small allowance, and it drained fast. PCWorld reviewer Ben Patterson burned 80% of his weekly Claude Design allowance in roughly 25 minutes on the Pro plan, producing three variations of a single webpage prototype. His review was headlined "I tried Claude Design for half an hour. I'm already locked out for a week." Anthropic scrapped that model. Claude Design now shares usage limits with chat, Claude Code, and Claude Cowork, so there is no separate design allowance to track and you draw from one larger pool. Anthropic also says it cut average token consumption per turn while holding output quality, and that error rates dropped sharply. Which model powers Claude Design? This is the question almost every other guide still gets wrong. Anthropic's April launch post said Claude Design ran on Claude Opus 4.7, and that page has never been updated, so write-ups keep repeating it. Open the product today and it is plainly false. Claude Design carries the same model picker as the rest of Claude, and Anthropic's support documentation lists Claude Design among the surfaces where organization model-access settings apply, right next to chat, Cowork, and Claude Code. The model picker: Fable 5, Opus 4.8, Sonnet 5, and Haiku 4.5 Open the Model dropdown in the prompt composer and you get four models. Fable 5 is pitched for your toughest challenges, Opus 4.8 for complex tasks, Sonnet 5 as the efficient everyday pick, and Haiku 4.5 for fast answers. A More models row opens the rest of the catalogue. No single model "powers" Claude Design any more, so the honest answer is that you decide, per project. In practice, Sonnet 5 is enough for most slide decks, one-pagers, and simple mockups, and it is the cheapest way to iterate. Step up to Opus 4.8 or Fable 5 when you are building a dense interactive prototype or working against an imported design system, where the model has to hold a lot of structure in its head at once. Drop to Haiku 4.5 for quick throwaway variations. The Effort control Underneath the model list sits Effort, which defaults to High. Effort trades intelligence against speed and usage, and Anthropic documents the full ladder as Low, Medium, High, Extra high, and Max in its guide to model, effort, and thinking settings. Because design work now draws from your shared pool, turning Effort down on rough drafts is the single easiest way to stretch a subscription further. Admins get a say too. Since July 1, 2026, Enterprise administrators can restrict both which models their users can reach and which effort levels they are allowed to set, which is the same rollout that brought the picker into Claude Design in the first place. Fable 5 and the included-usage window Claude Fable 5 launched on June 9, 2026 and sits above Opus 4.8 as Anthropic's most capable widely released model, with a 1 million token context window and API pricing of $10 per million input tokens and $50 per million output tokens. That capability is not free-flowing. Anthropic includes Fable 5 on paid plans for up to 50% of your weekly usage limit, after which you switch models or buy usage credits, as set out in its Fable 5 redeployment note. That inclusion window is promotional and Anthropic keeps extending it, first to July 7, then July 12, then July 19, 2026. The picker prints the current deadline next to Fable 5, so check the label before you commit a long session to it. Free plans never had access, and standard Enterprise seats are excluded. How to access Claude Design Claude Design is a browser-based product at claude.ai/design. It works identically on Mac, Windows, and Linux because all generation happens on Anthropic's cloud. There is no native Claude Design app for any operating system and no separate desktop installer. Here are the four steps to get in. Optionally, run /design-sync in Claude Code first to import your team's design system, so generations stay on-brand from the very first prompt. Once you are in, you write a prompt in the left chat pane, watch the design build on the right canvas, then fine-tune with the layout controls or by dragging elements directly. Using Claude Design on Mac, Windows, and Linux Because the heavy generation runs on Anthropic's cloud, any Apple silicon Mac, from the original M1 right through the current M5, runs Claude Design identically to a Windows laptop or a Linux desktop. You do not need a discrete GPU, and the Mac mini, MacBook Air, and entry-level MacBook Pro all handle the canvas without lag. The same goes for an average Windows ultrabook. If you build dense interactive prototypes, a larger display helps, because the chat pane and canvas sit side by side. Many Mac users prefer to run Claude Design inside the official Claude Desktop app for macOS, which you can download from claude.com/download. It gives Claude a dedicated window away from your browser tabs. The desktop app is not required, but it is the cleanest setup if you work in Claude all day. What you can build with Claude Design Claude Design starts you from five templates, Prototype, Slides, Document, Wireframe, and Animation, or from a blank prompt if you would rather just describe what you want. Each one is refined through conversation afterwards. Below are five concrete use cases with the kind of prompt that gets the best result on the first try. Two of those templates are easy to overlook. Wireframe deliberately strips the output back to low-fidelity structure, which is what you want when the argument is about layout rather than polish. Animation produces motion, and because Claude Design renders slides as HTML rather than PowerPoint, Anthropic's own presentation tutorial notes that it can animate transitions to carry a story across a deck. 1. Pitch decks and quarterly business reviews You describe the deck including target audience, slide count, and key data points, and Claude builds the full deck in PPTX format. Example prompt: "Build a 12-slide Series A pitch deck for a B2B SaaS analytics startup. Include problem, solution, market size, traction, business model, team, and ask. Use a minimal style with our blue and grey brand colors." The output drops straight into Microsoft PowerPoint, Apple Keynote, or Google Slides. For deeper presentation workflows, see our guide on how to use AI in PowerPoint. 2. Interactive prototypes for new features Product teams use Claude Design to make a feature tangible before they brief engineering. Example prompt: "Design a 5-screen onboarding flow for a fitness tracking app. Include a welcome screen, goal selection, profile setup, permission requests, and a celebration screen. Use a light theme with sans-serif type." Because the canvas renders real HTML, CSS, and JavaScript, every prototype is clickable and scrollable in the browser. You share the link with stakeholders, collect comments inline, then iterate without leaving the chat. 3. Landing page mockups and one-pagers Founders without a designer use Claude Design to draft a marketing site or sales one-pager in minutes. Example prompt: "Create a SaaS landing page for an AI invoice tool aimed at freelancers. Include a hero, three feature blocks, a pricing table, FAQ, and a CTA footer. Match the layout conventions of modern fintech landing pages." Uploading screenshots of pages you admire pulls real reference material into the prompt, which keeps the output anchored to actual conventions instead of generic templates. If you already have a site, the web capture tool grabs elements from it so the mockup matches your live product. 4. Mockups built on your real design system This use case got dramatically stronger in June. Import your design system from a GitHub repo, design files, or raw uploads, and a new dashboard mockup will use your actual buttons, cards, modals, and tokens. Claude validates its output against the system and fixes deviations before showing you anything, so designs become drop-in references for the next sprint rather than throwaways. When you are ready to ship, click Handoff to Claude Code and send the design to a local Claude Code agent or to Claude Code on the web. Claude Code picks up the design without starting over, so nothing gets rebuilt from a screenshot. 5. Data dashboards, infographics, and internal tools Claude Design also handles charts, dashboards, and quick internal tools. For text-heavy infographics that demand pixel-perfect typography, ChatGPT Images 2.0 is currently a stronger pick because it specializes in dense text rendering. For interactive dashboards with editable data, Claude Design is the better fit, because the output is real code rather than a flat image. Claude Design pricing and usage limits Claude Design is not free. It is included at no extra cost with Pro, Max, Team, and Enterprise Claude plans. Since June 17, 2026 it draws from the same shared usage pool as chat, Claude Code, and Claude Cowork, so there is no separate design allowance to monitor. Here is what each plan costs, and our full Claude pricing breakdown goes deeper on API and Bedrock rates. Pro: $20 per month Claude Pro is the cheapest way into Claude Design at $20 per month, or $17 per month billed annually. It is the right plan for individual founders, marketers, and engineers who want to try Claude Design without a team contract. Design work now competes with your chat and Claude Code usage for the same pool, so a heavy prototyping session will eat into what you have left for everything else. Max 5x: $100 per month Claude Max 5x costs $100 per month and gives you 5x the Pro usage. This is the sweet spot for power users running daily Claude Design sessions alongside heavy Claude Code or Claude Cowork work, precisely because all three now share one pool. Max 20x: $200 per month Claude Max 20x costs $200 per month for 20x the Pro usage, plus priority access to Anthropic's newest features and models. This is for designers and agencies treating Claude Design as their primary visual workflow. Team and Enterprise Team Standard is $25 per seat per month ($20 annually) and Team Premium is $125 per seat per month ($100 annually). Those Team plans run from 5 to 150 seats. Enterprise is custom-priced through sales and ships with Claude Design turned off by default, so an admin must enable it in Organization settings. Once you exhaust your plan limits, Pro and Max users can switch on extra usage, sometimes called usage credits, and keep working. That overflow is billed at standard API rates rather than being included, so it is a metered top-up, not a bigger bucket. If you bought your subscription through the mobile app, you have to enable extra usage on the web. Claude Design vs Figma vs Canva vs Fello AI These four tools solve overlapping problems from different starting points. Claude Design generates from a prompt. Figma builds on a vector canvas with components. Canva assembles from templates and stock assets. Fello AI sits one level up, giving you Claude, ChatGPT, Gemini, Grok, and DeepSeek in a single app. Here is how they compare on the metrics that matter. The short verdict. Use Claude Design when you need to go from idea to interactive output fast and you already pay for Claude Pro or higher. Pick Figma for production UI work, design systems, and developer handoff at scale. Use Canva for brand-consistent marketing collateral with stock assets. Choose Fello AI at $9.99 a month when you want several frontier models in one app and you do not need a design canvas at all. Fello AI: a multi-model alternative for $9.99 a month If you do not have a paid Claude plan and you mostly need AI-generated slides, documents, and everyday creation work, Fello AI is a cheaper way in. For $9.99 a month it bundles Claude, ChatGPT, Gemini, Grok, and DeepSeek, and its PowerPoint Skill produces real .pptx files straight from a chat conversation. The app runs natively on Mac, iPhone, and iPad with cross-device sync, and it holds a 4.7-star rating across more than 27,000 reviews. The trade-off is the canvas. Fello AI does not give you a side-by-side visual editor, so it is not a replacement for a real design surface. It is the better choice when you want speed and one-app access to several models, and the weaker choice when you specifically need to push pixels. Plenty of people run both, Claude Design for work that needs a canvas and Fello AI for everything else. How Claude Design fits with Claude Cowork and Claude Code Anthropic now ships three Claude products that talk to each other, namely Claude Design, Claude Code, and Claude Cowork. The intended workflow is straightforward. Claude Design produces the visual artifact, Claude Code implements it, and Claude Cowork runs the long-horizon agent tasks on top, like research, document drafts, and analytics. The June update tightened that loop considerably. All three now share one usage pool, one set of credentials, and one billing relationship, and /design-sync plus Handoff to Claude Code are the explicit bridges between visual work and shipped code. Claude Design also sends work out to Adobe, Base44, Canva, Gamma, Lovable, Miro, Replit, Vercel, and Wix, on top of PDF and PowerPoint export. If you want quick presentation generation outside the design canvas, our guide to converting PDF to PowerPoint with AI covers that workflow. Limits and caveats Claude Design is still in beta, and the constraints below matter before you commit a workflow to it. Enterprise organizations have it disabled by default and need an admin to opt in. Anthropic has never corrected its April launch post, which still claims the tool runs on Opus 4.7, so plenty of secondhand write-ups repeat a model claim the live product flatly contradicts. Whichever model you pick, its vision and reasoning limits apply to your designs as well. And because design work now draws from your shared pool, a long prototyping session directly reduces what you have left for chat and Claude Code. On capability, the honest boundaries hold. For brand-heavy marketing collateral with consistent assets across dozens of pieces, Canva still wins. For complex multi-screen design systems with tight pixel precision, Figma still wins. Claude Design is at its best on the first 80% of a design, and most teams will hand the last 20% to a real designer. Anthropic has also shipped Claude Dreaming, its agent memory feature, which is worth watching if you plan to keep design sessions context-aware across weeks. Conclusion Claude Design spent its first two months as an impressive demo with a punishing usage cap. The June 17 update fixed the cap, taught it your design system, and wired it directly into Claude Code, which is what turns it into something you can actually put in a workflow. If you already pay for Claude Pro, Max, Team, or Enterprise, open claude.ai/design and run one of the example prompts above, and run /design-sync first if you have a codebase worth matching. If you do not have a Claude subscription and you want several frontier models in one native Mac app instead, download Fello AI on the App Store. To compare the underlying models powering all of this, see our best AI models guide. If you are weighing the two big AI visual tools against each other, our head-to-head on Claude Design vs ChatGPT Images 2.0 breaks down which one wins for slides and mockups, and our walkthrough on how to use ChatGPT Images 2.0 to create visuals covers the OpenAI side in practice.