Phase 7 · Evals, Safety & Observability

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

🛡 Phase 7 · Evals, Safety & Observability17 lessons~476 min total reading

Lessons in this phase

#53LLM Evaluation Fundamentals: Metrics, Datasets & Methodology

Intermediate~34 min

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

Intermediate~24 min

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

Intermediate~39 min

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

Intermediate~26 min

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

Intermediate~16 min

#58DeepEval Synthesizer: Synthetic Golden Generation for LLM Evaluation

Intermediate~25 min

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

Intermediate~33 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

Intermediate~31 min

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

Intermediate~30 min

#67Observability: Tracing, Logging & LLM Monitoring

Intermediate~30 min

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

Intermediate~20 min

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

Intermediate~30 min