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~439 min total reading

Lessons in this phase

#53LLM Evaluation Fundamentals: Metrics, Datasets & Methodology

Beginner~32 min

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

Beginner~23 min

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

Beginner~37 min

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

Beginner~23 min

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

Beginner~14 min

#58DeepEval Synthesizer: Synthetic Golden Generation for LLM Evaluation

Beginner~23 min

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

Beginner~31 min

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

Intermediate~27 min

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

Intermediate~25 min

#62Hallucination Detection & Mitigation: Grounding & Verification

Intermediate~25 min

#63Constitutional AI & RLHF for Safety

Intermediate~26 min

#64Bias, Fairness & Responsible AI in Production

Intermediate~21 min

#65AI Governance: Compliance, Auditing & Risk Management

Advanced~28 min

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

Advanced~28 min

#67Observability: Tracing, Logging & LLM Monitoring

Advanced~27 min

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

Advanced~20 min

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

Advanced~29 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
10Prompt Injection Gates
11Live Drift Monitor
12Capturing Failing Runs
13Metamorphic Invariant Checks
14Mutation Robustness Checks
15Flakiness And Regression
16Span Coverage Audit
17Model Tier Matrix
18Why Evaluate First

Listen to the narrated version