Skip to contentStart your project

Website design for AI and machine-learning companies

We design AI product websites that show what the system helps someone do, what information it needs and where human judgement remains. Real examples and clear evaluation routes are more useful than another page of intelligence claims.

Show the useful task behind the model.

The audience needs to understand input, output and the role of review. Explain the workflow before introducing model terminology, and make limitations visible where they affect the decision.

Briink website, from Hilvy’s published project.
BriinkOngoing Webflow design and development, reusable marketing components and website updates for Briink.

Use an approved, representative example.

Show the starting material, the useful result and the checks a person performs. Avoid cherry-picked demonstrations presented as a guarantee, and keep real customer records out of public samples.

Make capability and evidence distinguishable.

Separate measured evaluations, supported integrations and future features. Give benchmark claims a source, method and owner rather than treating a chart or model logo as proof.

Design the evaluation path deliberately.

Clarify whether the next step is a recorded example, sandbox, trial or sales discussion. A live demo needs rules for access, input handling, costs and failure states before release.

By Hilvy · Updated

Review the promise on one AI product page.

Use an approved example and public evaluation material. This is a product-communication worksheet, not a model-safety assessment.

Leave with: A task demonstration, claim-to-evidence map and safe evaluation brief.

Download blank checklist (.md)No signup. Ticks are not sent to us. The download is a blank copy with space for owners and notes.

A feel for our work.

A look at the websites we design and build.

A look at the workWatch on YouTube

AI & machine learning website questions.

Can you build the AI product itself?

Application development can be separately scoped, but this page concerns the public website and evaluation journey. The Briink example demonstrates website delivery, not training, validating or certifying a model.

Should our website include a chatbot?

Only if there is a useful task, appropriate source material and a clear fallback. We define input boundaries, review, access, operating cost and ownership before choosing a feature; a chatbot is not a mandatory part of an AI company website.

How do you present benchmarks responsibly?

Use approved evidence with its method, conditions, date and limitations. Do not turn a narrow result into a universal performance claim or imply that a website graphic is an independent evaluation.

Can visitors try the product safely?

We can assess a recorded example, controlled demo or sandbox. A live experience needs explicit input handling, access, limits and failure behaviour, and must not invite confidential customer material without an approved process.

Show the task, not just the technology.

Bring an approved example, its limitations and the next evaluation step your team can support.