SpecBaker

AI coding tools build software fast, but they still need clear input. Vague ideas make AI or developers guess, ask repeated questions, or build the wrong scope. **SpecBaker** starts from the user’s goal, analyzes missing details, asks important clarification questions, captures decisions, and generates a structured software specification. The output includes product context, user roles, requirements, workflow, data model outline, UI outline, test scenarios, implementation plan, and a Bob-ready handoff prompt. Core workflow: → Goal analysis → Clarification questions → Captured decisions → Structured specification → IBM Bob / developer handoff SpecBaker is not just a PRD generator. It works like a lightweight **spec compiler** that turns unclear intent into implementation-ready context. ## Problem AI-assisted development is powerful, but vague requirements remain a bottleneck. Example: > “I want an approval system for branch purchases.” This leaves key questions open: > Who creates requests? > Who approves them? > What fields are required? > What is out of scope? Without these answers, AI tools may invent requirements, choose the wrong architecture, or build beyond the MVP. ## Solution SpecBaker guides users from rough ideas to clear specs: 1. User enters a high-level goal. 2. SpecBaker extracts domain, actors, assumptions, and unknowns. 3. It asks implementation-focused questions. 4. Answers become explicit decisions. 5. It generates a structured spec and Bob-ready prompt. This gives IBM Bob or developers clearer context before implementation begins.