What does the PRD generator create?
It creates a markdown PRD with problem statement, scope, constraints, user stories, acceptance criteria, review notes, and a suggested Hal planning prompt.
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Answer a few product and technical questions, then generate a markdown PRD that is structured for reviewable AI coding loops.
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Markdown
An AI coding PRD generator turns a feature idea into a structured markdown requirement with user context, scope, constraints, stories, acceptance criteria, and review notes. The result is meant to be reviewed by a developer before it becomes input for Hal or an AI coding agent.
Describe the feature, the user, the desired behavior, constraints, and the technology context. The generator turns those inputs into a markdown PRD with sections that are easier to inspect before running an agent loop.
Broad prompts create broad changes. A PRD gives the agent a narrower target and gives the developer a document to review before implementation begins.
Confirm the PRD names the user, defines in-scope and out-of-scope behavior, includes acceptance criteria, and calls out risky areas such as authentication, payments, migrations, permissions, or data loss.
Generate the PRD, run it through the PRD Readiness Checker, split risky work into smaller stories, then use the final markdown as the source for a small Hal loop.
Use this tool before a coding agent edits files. Then move from tool output into PRD-driven planning, a first Hal loop, or a review-before-merge checklist. Treat generated text as a draft and verify it against the repository before use.
Before adopting Hal, inspect the source repository, install guide, pricing page, and machine-readable pricing. This tool does not guarantee code quality, test success, or merge safety.
Short answers before you hand the output to an agent workflow.
It creates a markdown PRD with problem statement, scope, constraints, user stories, acceptance criteria, review notes, and a suggested Hal planning prompt.
Yes. The PRD is plain markdown and can be used with a human developer, an AI coding agent, or Hal's PRD-driven loop.
Yes. Treat it as a draft. Confirm scope, edge cases, and acceptance criteria before handing the work to an agent.
Prepare better PRDs, stories, and standards before an agent touches the repo.
analyzer
Check whether a product requirement is specific enough for an AI coding loop before an agent touches the repo.
generator
Turn a feature idea into testable Given/When/Then acceptance criteria, edge cases, and a review checklist.
analyzer
Break a feature request into reviewable implementation stories and score whether it is safe for an AI coding loop.
Next step
Hal is a terminal-first CLI for PRD-native coding loops. Use the generated markdown as planning input, keep the work bounded, and review agent output before merging.