deep-interview

To turn vague product ideas into precise engineering specifications, use a Socratic interview process that asks one question at a time to uncover hidden assumptions and applies mathematical ambiguity scoring to gate execution readiness.

Ambiguity scoring in requirements gathering mathematically measures unresolved uncertainty across goals, constraints, and success criteria. It updates transparently after every interview answer to track progress toward a required readiness threshold.

To analyze brownfield repository context before modifying existing software, a Socratic interview explores the existing repo structure and logic, requiring user confirmation before proceeding to ensure modifications align with current system constraints.

Yes, you can gate autonomous execution by implementing a threshold-based policy that persists interview state and refuses to proceed with planning or execution until the ambiguity score drops below the resolved threshold for the run.

The best way to prevent wasted build cycles caused by unclear requirements is to crystallize a testable spec file through deep Socratic questioning, ensuring the scope is well-defined before bridging safely into downstream planning and execution pipelines.

To start a Socratic interview for scoping a new software project, instruct the AI to interview you deeply about your idea, providing a brief description of the goal so it can begin asking targeted one-question-at-a-time queries.