A method for testing how much evidence each AI release needs, before making the standard mandatory.
What the research pack covers
The asset walks a research lead through harvesting assumptions, grading them, ranking materiality, tier design, scoring tests, seeded regressions, cost and time, and freezing the standard. It ends with an assumption register, a source log, and research questions.
- Turning a baseline into a governed release standard
- Designing evidence tiers by severity
- Testing automatic scoring against human grading