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2026-10-25

Claude Design: how to use it (2026 guide)

On 17 April 2026, Anthropic launched Claude Design, an AI-driven visual creation tool that generates mockups, interactive prototypes and presentations from simple text instructions.
Currently in research preview for Pro, Max, Team and Enterprise subscribers, the product runs on Claude Opus 4.7 and is part of Anthropic Labs' strategy to cover the entire creation cycle, from brief to production.

Behind the product announcement lies a real signal for companies: the boundary between design, marketing, product and dev is fading.
Teams that master these tools deliver faster, iterate more often and reduce friction between functions.
Those that don't get started will fall behind!

In this article, we explain what Claude Design concretely changes for your teams, the most actionable use cases, and how to roll out Claude across your teams to get a real ROI!

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■ Train your teams in Claude Design and the Anthropic ecosystem

Hands-on workshops on your real use cases. Qualiopi certified. 900+ companies already trained.

→ Book a discovery call

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What exactly is Claude Design?

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Claude Design is a generative design tool developed by Anthropic Labs, available in research preview since 17 April 2026.

It lets any user, whether an experienced designer or a non-specialist, produce visual materials from natural-language descriptions!

In practice, you type an instruction

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"Create a landing page for the launch of an HR SaaS product, professional tone, blue-and-white palette"

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and Claude Design generates a usable first version, which you then refine through conversational iteration:

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"make the hero section denser"

"change the CTA to pink"

"add a customer testimonials block".

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The product doesn't stop there: it analyses your company's existing source code and graphic files to automatically extract a complete design system: colours, typography, components, spacing.

Everything can then be reused in later projects, which ensures immediate visual consistency!

To understand where Claude Design fits in the Anthropic ecosystem and the other recent releases, this in-depth guide helps you take a step back:

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→ Read the guide to what's new in Claude in 2026

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What Claude Design changes for corporate teams

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An automatically extracted design system
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This is probably the most strategic feature for CIOs and product teams.
You point Claude Design at your codebase or your current Figma files, and the tool rebuilds your visual identity in a usable form, without a designer having to re-document what already exists!

New projects then start from a consistent base, which eliminates the brand drift seen in most large organisations.

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From prompt to prototype in minutes
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Where a junior designer needed several hours to produce a usable mockup, Claude Design generates a first mockup in under two minutes from a text description! The user then refines it through iteration: editing an element, adjusting the layout, changing the colours, moving blocks.

All without ever opening specialist design software!

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Multi-format import and web capture

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The tool accepts PowerPoint presentations, Excel sheets, Word documents and images as input, and can even capture elements directly from a website to reproduce a visual environment.

A huge time saver for marketing teams who want to benchmark a competitor or start again from an existing template!

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Collaboration and export

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Claude Design includes sharing within an organisation as standard, with different access levels, and simultaneous editing by several people. Deliverables can be exported as PDF, PPTX, HTML or integrated into third-party tools.

Prototypes can be interactive, with video, voice and 3D elements, without writing a single line of code!

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A direct bridge to Claude Code

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The real game changer for product and dev teams.

Once the mockup is approved, it is transferred directly to Claude Code for the development phase.

No more endless back-and-forth between designers and devs: the AI bridges the gap.

To go further on the Claude ecosystem in the enterprise, this guide is a must-read:

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→ Claude AI in the enterprise: the complete guide

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■ Are your marketing, product or IT teams ready?

We audit your AI maturity in 30 minutes and propose a tailored training plan.

→ Request a free audit

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Concrete use cases: who will really benefit

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Beyond designers, Claude Design is aimed at several groups within companies.
Here are the uses we see emerging among our clients!

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Marketing teams: producing materials at scale

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Launch landing pages, campaign visuals, sales presentations, event materials: everything that used to require a designer brief + 3 days of iteration can now be produced in a few hours!

Marketing teams that master the tool multiply their production capacity by 4 to 5 without increasing headcount!

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Product managers and digital project managers

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Turning an idea into a clickable prototype before even briefing the tech team is every PM's long-standing dream.

Claude Design makes it accessible: you test, you iterate internally or with a few key users, then you move to the build only once the mockup is approved, which drastically reduces the failure rate of digital projects!

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CIOs and internal IT teams

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The most underrated use case: producing internal tools (HR dashboards, purchase request portals, business back-offices).

Instead of depending on an overloaded IT roadmap, business teams can prototype their ideal tool themselves, IT validates the technical feasibility, and Claude Code takes over for development.

At several large groups we support, this workflow cuts the time-to-market of internal tools by 3.

To see how an IT department can structure this kind of generative AI approach:

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→ See the JCDecaux case study — IT department & generative AI

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Sales and bid teams
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Preparing a tailored tender response deck in under an hour, with the prospect's brand guidelines extracted from its website, becomes possible.

Salespeople who build Claude Design into their workflow save 5 to 8 hours a week on preparing personalised materials.

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Founders and early-stage teams
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For start-ups and scale-ups, Claude Design compresses the idea cycle → visual MVP → investor pitch into a few days.
It is a real competitive advantage for those who know how to use it, combined with Claude Code for production!

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■ Move from theory to a real productivity gain

Claude Design workshops on your real cases — your teams leave with deliverables they can use the very next day.

→ Organise a workshop for my team

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Where to start: train your teams so you don't miss the shift

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Claude Design looks like a simple tool, and on the surface it is.
But getting a real ROI from it requires mastering visual prompt engineering, design system logic and the bridge with Claude Code.
Without this upskilling, teams produce pretty but unusable mockups and the productivity gain stays theoretical...

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Step 1: Identify the target groups
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Not all your employees have the same needs: prioritise the marketing, product and internal ops teams that produce the most visual materials day to day.
A quick diagnostic is enough to define the scope!

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Step 2: Train on the Claude + Claude Design fundamentals

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Before diving into Claude Design, your teams need to master the basics of Claude: effective prompting, context management, iteration logic.
Without this, the learning curve is much longer.
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Our pillar page covers it all:

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→ The complete guide to corporate AI training

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Step 3: Run a hands-on workshop on real cases

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Theoretical training is never enough. At AI Sisters, we design workshops around the company's real use cases: a mockup of a real landing page, a prototype of an internal tool, a redesign of a sales presentation.
Employees leave with usable deliverables and real autonomy!

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Step 4: Roll out a governance framework

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Internal design system, usage rules, quality review, bridge with Claude Code: usage needs a framework to avoid fragmentation.
This is exactly what we did at ENGIE GET on AI agents, or at Mazarine for the dev teams, the framework is what makes the difference between a gadget and a production tool.

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Visual production capacity

< 2 min

To generate a first mockup

900+

Companies trained by AI Sisters

60,000+

Employees upskilled

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Frequently asked questions about Claude Design

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Question

Will Claude Design replace Figma in companies?

Not overnight. Figma keeps a lead in its plugin ecosystem, mature collaboration and the precision of its tools for experienced designers. However, Claude Design opens visual creation to groups who did not use Figma — marketing, product, ops, sales — and positions itself as a complementary AI layer. Within 12-24 months, many companies will use both in parallel, with Claude Design for fast prototyping and iteration, and Figma for final design deliverables.

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Who can access Claude Design today?

Claude Design is currently in research preview, available to Claude Pro, Max, Team and Enterprise subscribers, with a gradual rollout. Companies on a Team or Enterprise plan can already roll the tool out to their teams and start testing. For use at scale, the Enterprise plan is recommended for the appropriate governance and security controls.

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Do you need to be a designer to use Claude Design?

No, that is precisely Anthropic's positioning: making visual creation accessible to non-specialists. A project manager, a marketing manager or an operational manager can produce usable mockups after a few hours of training. However, to get a real productivity gain and avoid deliverables that look good but cannot be used, structured training remains essential — visual prompt engineering, design system logic, the bridge with Claude Code.

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Is Claude Design compatible with our privacy and security rules?

Claude Design runs on Anthropic's infrastructure, which offers Enterprise commitments not to use data for training, granular access controls and compliance suited to regulated environments. Before any wide rollout, we recommend having the product approved by your CIO and your DPO, and defining a clear usage framework — what types of data can be entered, who has access to what, how deliverables are stored.

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How can I train my teams effectively in Claude Design?

The right approach combines three building blocks: upskilling on the Claude fundamentals (prompting, context, iteration), a hands-on workshop on your real use cases (producing marketing materials, prototypes of internal tools, redesigning presentations), and a governance framework (design system, usage rules, bridge with Claude Code). AI Sisters, Qualiopi certified, designs these programmes to measure for marketing, product, IT and leadership teams, with usable deliverables by the end of the training.

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■ Get ahead on Claude Design now

30 minutes with Emma Pariente and the AI Sisters team to scope your training plan and get your teams going before the competition.

→ Book my slot

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Claude Design does not replace your designers; it gives them a lever to produce 5 times more, while opening visual creation to every function.
Companies that train their teams in the next 6 months will gain a head start that is hard to catch up with.
Share this if your marketing, product or IT team is concerned!

Where does your company stand with AI? Take the free AI diagnostic in 5 minutes and get your action priorities.

FAQ

Answers to your questions about AI in business.
How to train your teams, identify the right use cases and roll out AI effectively.

Book a call

How can I train my teams in AI without it taking months?

It is the question we hear most often. The short answer: with the right method, a single day is enough for your teams to really start changing their habits. At AI Sisters, we have built a three-step approach, tested on more than 350 projects:

Step 1 - Understand, not just "discover"
We start with an AI Show: a live, immersive session with real-time demos on real cases. No generic slides. Your teams leave with a clear view of what AI can (and cannot) do for them.

Step 2 - Practise on real topics
Hands-on workshops are organised by role: HR, Finance, Marketing, Sales, Legal, Ops. We use your real documents, your real emails, your real tools. Prompts are tested live.

Step 3 - Embed new habits at D+30
One month later, we run an impact review: what has been adopted, what is still blocking, what needs adjusting. This follow-up is what makes the difference.

In short: training your teams in AI does not take months. With an approach built on immersion, role-based practice and impact follow-up,

Can AI training really be adapted to my sector (healthcare, finance, industry...)?

Yes, and that is exactly what separates useful training from training people forget.

Before each project, AI Sisters carries out a pre-audit: we analyse your typical documents (contracts, emails, reporting, product sheets), your tools (Office suite, Google, CRM, ERP) and your workflows.
We identify where AI can create value in your specific context. Then we choose, from our 40 business experts, the one who knows your sector best.
An HR team in an industrial group will not see the same examples as a B2C sales team. Prompts, exercises, use cases - everything is adapted.

‍In short: AI Sisters adapts each training programme to the reality of your sector, thanks to a pre-audit and 40 business experts. Healthcare, finance, industry, services: content is built on your real documents and your real constraints, not on generic examples.

Can AI training be funded by my OPCO?

Yes, in most cases.
AI Sisters training is Qualiopi-certified, which makes it eligible for OPCO funding (French training funds). The level of funding depends on your skills operator, the scheme used and your available budget, but in many cases a significant part of the cost can be covered.

In practice, we support you through the whole application: detailed quote, compliant programme, supporting documents, follow-up until reimbursement.

‍In short: thanks to Qualiopi certification, AI Sisters training is OPCO-fundable. The amount varies with your operator and your situation, but it can mean substantial savings.

Is AI training better on-site or remote?

Both work. What matters is the intention behind the format.
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On-site is ideal for a strong kick-off: a seminar day, a moment of collective co-creation, a team starting out together.

Remote is perfect for multi-site or international teams - our online sessions use training assistants via chat to keep things interactive (Q&A, co-writing prompts, live exercises).

Either way, the method stays the same: AI upskilling + practice + follow-up. And every session is led by a business expert, not a generalist trainer.

‍In short: on-site or remote, the format adapts to your organisation. AI Sisters keeps the same level of quality and interactivity in both cases, with business experts dedicated to each session.

Which tasks can I really hand over to AI in my team today?

The best way to answer is by role.

‍HR: screen CVs, generate job descriptions, write emails to candidates, prepare interviews.
‍Finance: explain an Excel table, write a commentary on results, prepare a forecast budget.
‍Marketing / Comms: create an editorial calendar, adapt a message into several formats, A/B test hooks.
‍Sales: write prospecting emails, personalise sequences, prepare responses to tenders.
‍Legal: analyse an NDA, flag risky clauses, generate a first draft to review.
‍Leadership: summarise committee meetings, prepare strategy notes, build impact scenarios.

In our AI workshops, we do not show fictional cases. We take your real documents and test AI on them, live.

Before AI: 2 hours to write meeting minutes.
With AI: 20 minutes.
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Before AI: 3 hours to analyse an Excel file.
With AI: 30 minutes.

‍In short: AI can speed up dozens of practical tasks in every department. AI Sisters helps you identify the ones with the most impact for your team, and test them straight away on your own documents.

My team is not technical. Can they still use AI?

Yes. In fact, that is the whole point.

Our approach is 100% role-based, with no technical jargon. We start from your teams' real problems (lost time, repetitive tasks, heavy reporting) and show how to turn them into simple prompts.

At the end of the workshop, each participant leaves with ready-to-use prompt templates adapted to their job.

The goal is not to train data scientists. It is for every employee to be able to say: "This is how AI helps me in a typical day."

‍In short: You do not need technical skills to use AI every day. AI Sisters turns the tools into accessible, role-based practices, and gives every participant prompts they can use the very next day.

How can I be sure AI does not make mistakes in a sensitive context (legal, medical, financial)?

It is a more than legitimate question, and we address it directly in our training.
We do not just show what AI can do. We also stress what should not be delegated to it, how to review and validate its answers, and how to combine a clear business brief with a well-built prompt to get the best quality.

Our experts know the constraints of your sector: compliance, deadlines, accuracy, GDPR, approved tools.
Nothing is left to improvisation.

‍In short: AI Sisters builds the limits and risks of AI into its training. Your teams learn to use AI reliably, knowing what they can hand over to it and how to check the results.