Claude Artifacts vs Claude Design: Which Should You Use?

Claude Artifacts and Claude Design are no longer separate choices in the way older guides suggest: Design is one of the output types inside Artifacts. Choose Design for visual layouts and clickable prototypes; choose another artifact type when the deliverable is a document, presentation, dashboard, or custom interactive tool.

The real choice is what you need to review and hand over. A tool such as fenbs can preserve your project brief and the decisions behind that work while you revise the output in Claude. The picture shows what you made; the decision record explains why it should look or behave that way.

What is the difference between Artifacts and Design?

Anthropic describes Artifacts as the home for several kinds of outputs↗ (opens in a new tab), including Design. Think of Artifacts as the collection and Design as a particular workspace inside it. Comparing them as rival products can lead you to rebuild something you could simply start as the appropriate output.

The table is a selection guide, not a quality ranking. A polished screen can be the wrong answer when your team needs a tested calculation. Equally, a working calculator can be the wrong deliverable when the discussion is about the language and sequence of a new customer experience. Start with the decision the output must help someone make.

For the broader visual workflow, see our Claude Design guide; this comparison focuses on choosing its place among artifact outputs. More practical workflows are collected in AI at work.

When should you start with a Design artifact?

Start with Design when you need to judge a proposed experience before building the real thing. Examples include a landing page direction, an onboarding sequence, a one-page proposal, or alternative layouts for an internal screen. Your question should be visible in the output: can a reviewer understand the offer, find the next action, or follow the proposed steps?

The official Design guide↗ (opens in a new tab) describes a canvas with conversational refinement, direct editing, and inline comments. Ask for the actual screens and states you need to compare. A request for a clickable prototype should explicitly say which controls should respond, rather than leaving interaction to an attractive screenshot.

Say a small studio is proposing a booking flow. Ask for the appointment selection, the customer details screen, the confirmation, and the state when no appointments are available. Give the same approved text to each alternative. Otherwise you may accidentally compare better copy against worse copy while believing you are comparing layouts.

Review the flow before fine visual details. Can someone recover from a mistaken choice? Does the confirmation state say what happens next? Is a required field explained? A plausible prototype still needs those questions answered by a person who understands the business. Keep a list of assumptions so visual polish does not make them look approved.

When is another artifact type a better starting point?

Choose the form of work your reviewer actually needs. If the main task is reading and revising an explanation, start with a document. If it is presenting an argument, start with slides. For a small tool, define the interaction and the expected result before asking for a decorative interface. A generic request to make something beautiful can obscure those differences.

Anthropic’s custom artifact tutorial↗ (opens in a new tab) distinguishes a custom interactive page from the named templates. A custom tool is worth considering when your requirement does not fit those templates. Treat a working preview as a draft that needs testing, especially if it accepts user input or produces a result someone will rely on.

For example, a renovation cost estimator needs clearly defined units, allowed values, and rounding rules. A design prototype might help decide how those questions should appear. Testing the calculation is another job. Ask for a small set of sample inputs and expected answers that you can check independently before showing the tool to a client.

Our artifact examples offer starting ideas. Keep the initial scope narrow enough that a reviewer can tell whether the result is correct, rather than requesting a complete business application in a single prompt.

How should you compare two versions fairly?

Use one brief and a short acceptance checklist for both versions. Name the audience, the action they need to take, the required content, and the constraints. Avoid judging by which draft looks more finished. The better draft is the one that helps the intended person complete the intended job.

1. Set one concrete scenario, such as booking an appointment without calling the office. Give both versions the same starting information.
2. Ask a reviewer to attempt the scenario without explanation. Note where they hesitate, misread a label, or cannot continue.
3. Check narrow screens, longer text, empty states, and mistakes. Record which checks you actually performed.
4. Choose a direction and state why. Turn remaining defects into individual changes rather than reopening every visual choice.

Separate observations from preferences. “The Continue button was below the visible area” is an observation you can investigate. “The first version feels cleaner” is a preference that needs explanation. Both may matter, but they should not enter the next prompt as equally settled facts. A short decision record in fenbs preserves that distinction for the next review.

Agree on the review question before circulating a draft. If you ask whether the wording is accurate, tell reviewers that the layout is provisional. If you ask whether the flow is understandable, provide realistic labels and enough sample content to attempt it. This keeps an early experiment from collecting conflicting feedback about every possible aspect of the project at once.

Give the person making the final choice a concise comparison: what each version improves, which requirement it misses, and the remaining uncertainty. For the booking example, one version might show availability sooner while another explains the service more clearly. The owner can choose the appropriate tradeoff. Claude can help summarize the evidence, but a generated recommendation is still a proposal until a person accepts it.

What should move with the output when you change workflows?

Move the latest approved brief, the artifact reference, the decisions, and the remaining checks. A screenshot alone loses behavior. A file alone may lose the reason behind a design choice. Include enough context that the next person can distinguish a deliberate compromise from an accidental omission without rereading the whole conversation.

Anthropic’s prototype tutorial↗ (opens in a new tab) covers moving from a visual prototype toward implementation. Before that handoff, mark simulated behavior clearly: an apparent login form, saved preference, or payment confirmation may still be part of the demonstration. Ask the implementer to identify what needs real services and what must be tested separately.

For file-format details, use the separate artifact export guide. The handoff here is about meaning: which version was selected, what it proves, and what it does not prove. Our Projects, Skills, and Artifacts comparison covers the different places Claude can hold reusable material.

If you still use the standalone Design site, follow the migration link in Anthropic’s current Design guide rather than treating that site as the permanent alternative to Artifacts. Keep your own record of the approved direction before reorganizing work. Interface changes should not force you to reconstruct the client’s decision from memory.

How to do this with fenbs

Use fenbs for the continuing project record while Claude remains the place where you make and inspect the output. Start with one real review so you can see whether the saved context helps the next session.

1. Create a free account and add a project for the proposed page, tool, or experience.
2. Add a task containing the goal, audience, artifact reference, and a short checklist. Keep visual review separate from checks that require a working implementation.
3. Record a person’s approved choices in Decisions and rules. Leave unanswered questions open instead of treating Claude’s suggestions as approvals.
4. Connect a supported assistant through Integrations, ask it to read the project context before revising, and save progress before stopping.

fenbs does not render artifacts or replace a design canvas. If you only need to make a quick personal mockup and will not revisit its decisions, keeping it in Claude may be sufficient. fenbs is useful when the explanation must survive more revisions, people, or AI apps; our AI handoff workflow shows that next step.