fpf:propose-hypotheses

A first principles framework structures product investigations by moving from a raw problem statement to an evidence-backed recommended decision, generating L0 hypotheses, verifying logic to L1, validating evidence to L2, and auditing trust.

Auditing evidence for competing hypotheses is handled by parallel agent orchestration, running verification, validation, and audit sub-agents simultaneously to evaluate trust and produce traceable audit reports.

A repository workspace is required for first principles hypothesis generation to store .fpf artifacts, needing file read/write permissions to persist context, hypothesis files, audit reports, and decision rationale records.

Parallel agent orchestration speeds up hypothesis evaluation by launching verification, validation, and audit sub-agents concurrently across multiple generated hypotheses.

Traceable decision records are created from raw problem statements by automating the end-to-end FPF lifecycle, persisting context, hypothesis files, and design rationale artifacts for review, reproducibility, and handoff.

An automated first principles framework should not be used for investigations lacking a clear problem statement or those without sufficient evidence streams to validate hypotheses and support a structured, auditable decision.