Add AI-DLC Vision Document as a Discovery output - #2
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Adds a reusable Vision Document Generation module that transforms the
completed Discovery Document into an AI-DLC (awslabs/aidlc-workflows)
Vision Document -- the native input format for AI-DLC's Inception phase.
This makes the AI-PLC -> AI-DLC handoff native instead of manual.
- New rule: discovery/vision-document-generation.md
- Maps Discovery content (PR/FAQ, pain points, product strategy, GTM,
prototype specs) to AI-DLC's Vision Document schema
- Auto-infers Risks and Open Questions from context (no new PM
questions), flagged for PM review
- Excludes technology/stack details (those belong in AI-DLC's
Technical Environment Document, authored in the build workspace)
- core-workflow.md:
- Runs Vision Document Generation automatically after Go-to-Market on
every path (final Discovery output)
- Adds Entry Point 4: generate a Vision Document from an existing
discovery-document.md without re-running Discovery
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What & why
Makes the AI-PLC → AI-DLC handoff native. Today AI-PLC's Discovery Document is a Working-Backwards artifact; AI-DLC's Inception phase expects a Vision Document (per
docs/writing-inputs/vision-document-guide.mdin awslabs/aidlc-workflows). This PR adds a step that emits that Vision Document directly, so a PM can finish Discovery and hand a build team an input AI-DLC consumes as-is.Changes
discovery/vision-document-generation.md— reshapes existing Discovery content (PR/FAQ, pain points, product strategy, GTM, prototype specs) into AI-DLC's Vision Document schema. Auto-infers Risks and Open Questions from context (no new PM questions) and flags them for review. Deliberately excludes tech/stack details — those belong in AI-DLC's Technical Environment Document, authored in the build workspace.core-workflow.md—discovery-document.mdwithout re-running Discovery.Testing
Ran the full Discovery workflow end-to-end on a sample use case (a food-discovery app). Verified the generated
vision-document.md: