hivefiver-spec-distillation

To distill ambiguous requirements into structured specifications, you extract requirement atoms from raw input, classify them, and build an ambiguity map. This process transforms vague or contradictory inputs into clear, actionable spec documents.

Requirement atom extraction is the process of breaking down raw, unstructured requirement inputs into distinct, granular components. It systematically separates functional, non-functional, and integration requirements to ensure no details are lost during specification creation.

You identify and map ambiguities in feature requirements by logging areas of uncertainty within the raw input. This builds an ambiguity map that highlights contradictions and incomplete information for targeted clarification loops.

Yes, you can generate multiple specification candidates from a single document. The process produces various potential spec documents, each outlining clear trade-offs, and then recommends one option based on a defined rationale.

The best way to handle unstructured client feature requests is to process them through a distillation workflow. This extracts distinct requirement atoms, identifies ambiguities, and proposes well-defined specification options with decision checkpoints.

Yes, specification distillation supports retry-aware clarification loops for missing information. It uses decision checkpoints to systematically address logged ambiguities, ensuring the final specification is complete and actionable.