uncertainty-to-law

Convert validated hypotheses into formal laws by loading results from hypothesis validation, generating structured Law Card drafts that classify each hypothesis by type (Invariant, Pre, Post, Policy), and cataloging them for cross-system governance. This codifies business rules and prevents recurring issues across sessions.

A Law Card draft includes id, type, scope, statement, formal_ish representation, evidence tracing back to validation, verification criteria, and observability markers. These fields ensure laws are enforceable, traceable, and compatible with automated review workflows and pce-memory logging.

Formalize uncertainties into laws after multi-session hypothesis validation and post-incident standardization confirm patterns. This ensures business constraints are based on validated evidence rather than single observations, creating reproducible risk management rules.

Formalizing validated uncertainties as Laws extracts and codifies business constraints into an official Law Catalog, enabling consistent enforcement across systems and reducing ambiguity that leads to compliance gaps or engineering inconsistencies.

Yes. The workflow maintains traceability by moving Law Card drafts through review stages into the official Law Catalog and updating the Grounding Map, so you can audit when and why each business rule was formalized.