Phase 7 · Evals, Safety & Observability

Prove it works and ships safely — evals, red-teaming, guardrails, and gateway-level observability

Build an eval suite (benchmarks + LLM-as-judge) that gates a model change
Add guardrails and mitigate hallucination and bias
Ship an eval + red-team + observability harness over your Phase 4–5 agent (Portfolio L3)

🛡 Phase 7 · Evals, Safety & Observability17 lessons~479 min total reading

Lessons in this phase

#53LLM Evaluation Fundamentals: Metrics, Datasets & Methodology

Beginner~36 min

#54Benchmark Design: Contamination, Saturation & Domain-Specific Evals

Beginner~24 min

#55LLM-as-Judge: Automated Evaluation, Calibration & Bias

Beginner~39 min

#56Human Evaluation: Annotation Design, Inter-Rater Reliability & Scale

Beginner~26 min

#57Eval Frameworks Comparison: DeepEval, Promptfoo, RAGAS, Braintrust, LangSmith & More

Beginner~16 min

#58DeepEval Synthesizer: Synthetic Golden Generation for LLM Evaluation

Beginner~25 min

#59Agent Evaluation: Reliability, Tool Use Accuracy & Trajectory Analysis

Beginner~34 min

#60Red Teaming & Adversarial Testing: Automated & Manual Approaches

Intermediate~29 min

#61Guardrails & Content Filtering: Input/Output Safety Layers

Intermediate~28 min

#62Hallucination Detection & Mitigation: Grounding & Verification

Intermediate~28 min

#63Constitutional AI & RLHF for Safety

Intermediate~28 min

#64Bias, Fairness & Responsible AI in Production

Intermediate~25 min

#65AI Governance: Compliance, Auditing & Risk Management

Advanced~31 min

#66Interpretability & Explainability: Mechanistic & Feature-Level Analysis

Advanced~30 min

#67Observability: Tracing, Logging & LLM Monitoring

Advanced~30 min

#68Online Evaluation: Production Sampling, Drift Detection & Feedback Loops

Advanced~20 min

#69AI Gateways: Rate Limiting, Fallbacks & Multi-Provider Routing

Advanced~30 min

Grounded deep-dive

Evaluation & Feedback — Transcript

A 10-chapter reading guide grounded in the real case-study evaluation code: deterministic evaluators, typed dataset contracts, the DeepEval judge and its bar, trajectory checks, the coverage and feedback gates, and cost as a metric.

In plain words
System design
Interview Q&A
Failure modes

1What Evaluation Is
2Deterministic Code Evaluators
3Read Only Query Checks
4Typed Dataset Contracts
5The Judge Model
6Trajectory Evaluation
7The Coverage Gate
8The Feedback Gate
9Cost As A Metric
10Why Evaluate First

Listen to the narrated version