modeler-decision-logger

An append-only decision log captures human modeling judgments mechanically, adding timestamped records to a single canonical log to ensure traceable provenance and prevent in-place edits.

Provenance in decision-logging provides auditable traceability by recording timestamps and references to human artifacts, ensuring downstream narratives can verify the source and rationale of modeling decisions.

You separate human decision artifacts from AI content by logging per-sub-question decisions in a canonical, append-only log that preserves the human modeling judgments independently from generated narratives.

No, a canonical decision log enforces an append-only convention that prevents in-place edits, ensuring that all human modeling decisions remain permanently auditable and traceable across the contest.

Append-only decision-logging supports framing, method choice, result verdict, confidence, and assumption necessity, capturing each human decision point to provide traceable provenance for downstream narratives.

No dependencies are required to track modeling provenance; the decision logger applies mechanical validation to the latest decided artifact and appends records with timestamps and identifiers directly.