Evals, Guardrails, And Safety
Trust: evals, traces, guardrails, autonomy levels, approval gates, sandboxing, and knowing when not to automate.
- If you cannot evaluate the system, you cannot improve it on purpose.
- Traces are not logs for after the incident. They are training data for the next version.
- Autonomy is a privilege the system earns, level by level, with written proof.
Module 8: Evals, Guardrails, And Observability
This is the difference between demo AI and production AI.
Learn the pieces that separate demo AI from production AI:
- capability evals versus regression evals
- code graders
- model graders
- human calibration
- transcript review
- trace analysis
- tool call validation
- cost and latency tracking
- guardrails at the input boundary
- guardrails at the output boundary
- guardrails at the tool boundary
Build a 20 task eval set for one agent workflow. Pair it with three graders:
- a deterministic check
- a rubric based LLM judge
- a human spot check
Then build a trace review template that asks:
- what the system knew
- what it assumed
- which tools it called
- where it wasted tokens
- where it drifted
If you cannot evaluate the system you cannot improve it on purpose. Traces are not logs for after the incident. They are training data for the next version of the system.
Module 9: Autonomy And Safety Boundaries
Autonomy is a privilege the system earns.
Learn the vocabulary of autonomy and safety:
- permission tiers
- read-only versus write-capable runs
- approval gates
- reversible actions
- sandboxed execution
- secrets isolation
- external agent trust boundaries
- prompt injection risks
- data retention policy
- audit trails
Build an autonomy ladder for your own workflows:
L0: answer only
L1: read tools only
L2: draft artifacts
L3: propose changes
L4: edit local files
L5: run tests and validation
L6: open PR / create ticket after approval
L7: autonomous scheduled execution with monitoring
Every level needs to write the required proof before promotion.
The goal is not to make the system fearless. The goal is to make it trusted at higher levels of consequence.