Idea-to-build – a workflow that challenges ideas before building
Multi-agent critique that argues with your idea before /scaffold hands it to Claude Code.
Forge a vague idea into a build-ready spec — with the AI engine you already have (Claude Code / Codex / Gemini CLI / Ollama / any API). Self-hosted, 100% local, multilingual.
5-phase interview produces build-ready specs before you waste tokens on half-baked ideas.
Developers using AI coding agents like Claude Code or Cursor
Cursor · Claude Code · Windsurf
Multi-agent critique that argues with your idea before /scaffold hands it to Claude Code.
It clusters cross-source feedback, ranks themes, and — crucially — links every recommendation back to the original quotes, which makes the output auditable instead of a mysterious LLM blob. You can chat with your dataset and export AI-generated specs and GitHub issues, which pushes discovery straight into execution; my main questions are accuracy on private corp data and how it prevents hallucinated recommendations.
Rubber-duck architectural review, but Claude asks the hard questions instead.
Conversation-first workflow, but spec-driven AI coding is already a known pattern.
Self-interview to find product ideas; zero working code or prototypes shown.
Spec document ingestion and merge-safe CLAUDE.md handling show thoughtful DX, but agent scaffolding is crowded.