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DESIGN + AI · CLEAR ANSWERS

Your questions.
A useful next step.

Straightforward answers about functional prototypes, working with AI, testing, browser-local data, and getting ready to release.

AI Code Design editorial · Reviewed October 6, 2026

What is a functional prototype?

A functional prototype is an interactive version of a product that performs a defined task with working logic. It can accept input, validate it, change state, and display a result. Some integrations may still be simulated; label those limits clearly.

Read the functional prototype guide →

Can a designer build a prototype without knowing a full engineering stack?

Yes. Start with one small interaction and learn the relevant HTML, CSS, JavaScript, state, and data concepts as you build. AI can help implement it, but you still need to understand the behavior, check changes, and test the result.

Try the guided reading-list project →

Where should AI fit in a design workflow?

AI can help frame questions, explore alternatives, specify behavior, implement small changes, debug, draft test scripts, and organize release notes. The designer owns the problem, decisions, evidence, review, and claims about the result.

Explore the seven-stage workflow →

What should a designer test in an AI-built prototype?

Test the main task, invalid input, empty and no-result states, keyboard use, narrow screens, reload behavior, and recovery from failures. Record actual results. A generated checklist is a plan, not proof that the checks passed.

Create an acceptance checklist →

Does the Project Passport sync across devices?

No. The Passport stores drafts in the current browser when storage is available. It does not upload the draft or sync across devices. Export Markdown for sharing, or export and restore a JSON backup to move your work.

Open the Project Passport →

When does a prototype need a backend?

A backend becomes relevant when the task requires shared records, cross-device persistence, server-enforced permissions, secret credentials, or real service integrations. A local calculator or small reading list can be useful without one.

Learn about state, data, and APIs →

Is a working prototype ready for paying customers?

Not automatically. Customer use may require reliable data storage, access controls, recovery, monitoring, support, and an accountable owner. Evaluate those requirements and document limitations before making a product promise.

Review release decisions →

Are the tools and written lessons free?

The written introductory courses, workflow builders, Project Passport, and reading-list reference are free to use without an account. Membership and workshops are proposals; no paid registration or checkout is currently available.

Browse the free tools →