deep-interview

To convert vague ideas into testable specifications, use a Socratic questioning loop that asks one targeted question at a time. This process applies quantitative ambiguity scoring to reduce uncertainty until the requirements converge into a structured spec output.

Socratic questioning for requirements gathering is a structured interview method that extracts ontology and reduces ambiguity through focused, single-question rounds. It gates autonomous execution by scoring ambiguity until a precise specification is achieved for downstream automation.

Yes, structured ambiguity scoring applies to brownfield codebase planning by grounding the interview with prior exploration context. It extracts existing ontology and converges requirements across multiple rounds to gate downstream execution reliably.

Start a multi-round interview by describing your vague idea; the system then asks one question at a time to extract ontology and track convergence. It uses persistent state to resume sessions and crystallizes the final output to a specs directory for downstream workflows.

Automated Socratic interviewing requires multiple rounds to reduce ambiguity sufficiently for execution gating and focuses on precise specification rather than rapid prototyping. It may not suit projects needing immediate code generation without structured requirements.

Yes, phase-based execution gating bridges directly to downstream planning and autopilot workflows. Once the Socratic interview reduces ambiguity to acceptable levels, it crystallizes the spec to enable autonomous execution.