Interactive lesson~18 minAdvanced
AI Evals & Red Teaming
AI evaluations and red teaming turn vague trust into measurable behavior. You define failure modes, test them, and track regressions.
EvalsSafetyRed teaming
Mental model
Quality is a test suite, not a vibe.
As agents gain tools and autonomy, evals become the guardrail for release decisions, safety, and product reliability.
Coverage
balanced73% modeled signal
Safety signal
balanced70% modeled signal
Release confidence
balanced67% modeled signal
Concept pipeline
Build the idea in four moves
Interactive lab
Design a release gate for a tool-using assistant.
Threat model
Name what can go wrong and who is affected.
Focus lens
The part that usually clicks late
Coverage
Evals must match real user workflows and edge cases.
Coverage
73
Safety signal
70
Release confidence
67
Knowledge check
Why should evals run repeatedly?
Next horizon
Where this topic is headed
Agent eval harnesses
Model-graded eval calibration
Continuous red teaming