CAIN-42 CAIN StudioCAIN Agent Assurance & Reliability Engineer
Build deterministic agent regression tests, grade trajectories without an LLM judge, and run continuous re-authorization.
Who it's for
ML engineers, QA and platform teams responsible for agents in production.
Why it's in demand
Teams shipping agents need CI for agent behaviour: regression suites, trajectory grading and drift control. Vendors increasingly use LLM judges; deterministic grading is a scarce skill. Sources →
Exam
- Requires your Novice certificate ID
- 20 questions · 30 minutes
- 85% (17/20) to pass · server-graded
- Certificate ID C42-CAAE-…
Modules
1Agent CI: regression suites for behaviour12 min✓2Grading trajectories, not just answers13 min✓3Why no LLM judge10 min✓4Continuous re-authorization (ARGUS)13 min✓5Root-causing multi-agent failures11 min✓
Built on this code
cain/argus/cainbench/cainwitness/engine.pymulti-agent-failure-tracer/trajectorygate/