PROBLEM
Experts often know exactly what the AI should have done, but their correction may be trapped in review tools, comments, or private knowledge.
USE CASE
Expert feedback to governed behavior
Turn expert review into traceable evidence without making every reviewer correction immediate production authority.
OLD WORKFLOW
A reviewer edits an answer or sends guidance, and another team later translates it manually into prompt changes.
EXAMPLE
A compliance reviewer can correct a decision and explain the boundary without receiving deployment authority or editing production prompts directly.
VIRA WORKFLOW
Keep evidence, authority, evaluation, and release separate.
- 01
Capture the expert correction with source provenance.
- 02
Keep the evidence immutable and authority-linked.
- 03
Convert repeated or approved evidence into Lessons and candidate behavior.
- 04
Evaluate the exact candidate.
- 05
Release and explain the behavior through the standard governed path.
WHAT IS GOVERNED
- Evidence provenance
- Teaching authority
- Lesson versioning
- Candidate lineage
WHAT IS MEASURED
- Evidence-to-Lesson lineage
- Reviewer decision
- Evaluation result
- Released revision
WHAT CAN FAIL
Failure states are part of the design.
- The reviewer lacks teaching authority for the scope.
- Source provenance is missing.
- A revoked source makes dependent artifacts stale.