Turn a Product Idea Into a Reviewable PRD and Prototype

• V

  v0

  AI Coding & App Builders

  Vercel AI tool that generates UI and web apps from prompts

  Free tier◦Documented

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   Step 1: Capture the problem, user and non-goals

   Describe the observable problem before proposing features. Name the primary user, context, current workaround and evidence you have, then list assumptions separately. Define non-goals and prohibited scope so the first prototype cannot silently become a production commitment. Add success signals that can be observed without inventing a target metric. The step passes when stakeholders can disagree with a written assumption instead of interpreting a vague idea differently.

2. 2

   Step 2: Draft a reviewable PRD

   Use the PRD prompt with the problem statement, constraints and open questions. Require sections for goals, non-goals, user flows, functional requirements, data boundaries, accessibility, security, dependencies and rollout. Preserve unknowns as questions rather than filling them with plausible defaults. Give each requirement a stable ID. Review the result for product decisions masquerading as facts and remove implementation detail that is not yet justified.

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   Step 3: Create stories and acceptance criteria

   Convert requirements into user stories only where the story format adds clarity. Write acceptance criteria as observable behavior, including error, empty, permission and recovery states. Map every criterion back to a requirement ID and flag requirements that remain untestable. Avoid “works correctly” and other circular criteria. Approval requires product ownership because a precise AI-generated criterion can still encode the wrong product choice.

4. 4

   Step 4: Review specification readiness

   Run the readiness prompt and challenge the document manually. Look for missing actors, conflicting terms, implicit data retention, impossible dependencies and unresolved decisions that block a prototype. Classify issues as blocker, decision needed or safe prototype assumption. Record who can resolve each blocker. Do not proceed by silently choosing for them. The PRD is ready when the prototype scope is bounded and every temporary assumption is labelled.

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   Step 5: Generate a non-production prototype

   Provide v0 only the approved flows, visual constraints and representative synthetic data. State that the result is a review artifact, not a secure or production-ready implementation. Ask for accessible labels, loading, error and empty states. Do not insert secrets or real customer data. Save the prompt and generated version so feedback can be reproduced. Confirm that any integrations are mocked unless explicitly configured and reviewed.

   Tool: v0

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   Step 6: Compare the prototype with the requirements

   Walk through every acceptance criterion and record pass, fail, partial or not represented, with a screen or component reference. Flag attractive UI additions that were not authorized and requirements the prototype hides. Record accessibility and responsive observations separately from product correctness. End with a mismatch log and unresolved decisions, not an assertion that the prototype validates demand or engineering feasibility.

• Visit v0 ↗

• Draft a reviewable PRD · tested on OpenAI GPT-5 (Codex) — editorial dry run
• Convert requirements into user stories · tested on OpenAI GPT-5 (Codex) — editorial dry run
• Review specification readiness · tested on OpenAI GPT-5 (Codex) — editorial dry run

• OutputIllustrative scenario: specification traceability

  Synthetic fixture: five requirements and three non-goals. The review found two ambiguous decisions before prototyping. The final matrix traced 11 acceptance criteria; two were intentionally marked not represented and one prototype behavior was rejected as out of scope.

• DatasetTesting limitation

  The product, requirements and prototype comparison were synthetic and run in Codex on 2026-10-03. v0 was not used, so visual generation and export behavior remain unverified.

✓Last verified Oct 3, 2026