Production project
AI Evaluation Control-System Project
Build the evaluation architecture that converts product goals risks and production feedback into trustworthy release decisions.
Project evidence
0/3 milestones · rubric 0% · pass 70%
Quality and risk model
A measurable quality model with critical risks slices and acceptable trade-offs.
Acceptance criteria
- Every dimension connects to an observable task outcome
- Critical failures cannot be hidden by aggregate scores
Use: context · drivers · decision · alternatives · consequences · risks · validation · rollback · evidence
Evaluation architecture
A versioned design for datasets execution graders human review reports and release gates.
Acceptance criteria
- Data prompts models tools and graders are versioned together
- Judge validity and disagreement review are addressed
Use: context · drivers · decision · alternatives · consequences · risks · validation · rollback · evidence
Production feedback loop
A process that samples traces triages incidents updates cases and detects regressions.
Acceptance criteria
- Privacy-safe sampling and retention are explicit
- Every severe incident produces a reproducible test
Use: context · drivers · decision · alternatives · consequences · risks · validation · rollback · evidence
Criterion-level self-assessment
Project rubric
Architecture coherence
Architecture coherence for AI Evaluation Control-System Project is explicit, testable, and connected to submitted evidence. · weight 20%
Current level: Missing or contradicted by the submitted evidence.
Implementation evidence
Implementation evidence for AI Evaluation Control-System Project is explicit, testable, and connected to submitted evidence. · weight 15%
Current level: Missing or contradicted by the submitted evidence.
Evaluation quality
Evaluation quality for AI Evaluation Control-System Project is explicit, testable, and connected to submitted evidence. · weight 20%
Current level: Missing or contradicted by the submitted evidence.
Operational readiness
Operational readiness for AI Evaluation Control-System Project is explicit, testable, and connected to submitted evidence. · weight 15%
Current level: Missing or contradicted by the submitted evidence.
Security and privacy
Security and privacy for AI Evaluation Control-System Project is explicit, testable, and connected to submitted evidence. · weight 20%
Current level: Missing or contradicted by the submitted evidence.
Decision communication
Decision communication for AI Evaluation Control-System Project is explicit, testable, and connected to submitted evidence. · weight 10%
Current level: Missing or contradicted by the submitted evidence.
Portable evidence
Attach project records
Text, HTTPS links, repository paths, and imported Markdown/JSON/text are stored locally and included in exports.
Project review checklist
Unresolved risks
One risk per line. A passing score does not erase open risk.