About Me
  • Agentic AI Products
    • Technical Strategies & Architecture
    • Product & Business Strategy
    • Skills, MCP, Context & Subagents
    • Flagship Product Proposals
    • Context Engineering
    • Claude Agent SDK
    View all
  • Agentic Coding
    • Claude Agent SDK
    • Configuration & Setup
    • How-To Guides
    • Build Coding Agents
    • Spec-Driven Development
    View all
  • Past Experiences
    • RAG-Powered Search & Discovery
    • Customer Lifetime Value (CLV) Prediction
    • Real-Time Purchase Intent Scoring
    • LLM Generated Review Summaries
    • IoT Predictive Maintenance & Heating System Anomaly Detection
    • Building-Level Energy Forecasting & Smart Energy Advisor
    View all
  • Projects
    • Agentic MLOps Platform
    • Chat with your favourite TV Show Characters
    • Learn With AI
    • Teaching an Open-Source LLM to Write The Office
    • Building a Kannada Physics Tutor LLM with Feynman-Style Explanations
    View all
  • Playbooks
    • MLOps in Production: A Complete Guide
    • Essential Statistics for Production ML
    • AI Agents Playbook for Tech Leads
    • Building GenAI Applications: From Prototype to Production
    • AWS for MLOps
    View all
  • Data Viz
    • Bicycle Physics: The Superman Position Explained
    • Tracking the Coronavirus Outbreak in India
    • Rhythm Similarity in Songs
    • Airbnb and the tale of many cities
    • IPL 2019: Who Needs What to Win?
    View all
  • Illustrated Guides
    • RLHF Illustrated Guide
    • DriftCity: Statistics for MLOps
    View all
  • Ventures
    • Spiticart
    • Rumi Schools
    View all
Contact
  • Agentic AI Products
    • Technical Strategies & Architecture
    • Product & Business Strategy
    • Skills, MCP, Context & Subagents
    • Flagship Product Proposals
    • Context Engineering
    • Claude Agent SDK
    • View all
  • Agentic Coding
    • Claude Agent SDK
    • Configuration & Setup
    • How-To Guides
    • Build Coding Agents
    • Spec-Driven Development
    • View all
  • Past Experiences
    • RAG-Powered Search & Discovery
    • Customer Lifetime Value (CLV) Prediction
    • Real-Time Purchase Intent Scoring
    • LLM Generated Review Summaries
    • IoT Predictive Maintenance & Heating System Anomaly Detection
    • Building-Level Energy Forecasting & Smart Energy Advisor
    • View all
  • Projects
    • Agentic MLOps Platform
    • Chat with your favourite TV Show Characters
    • Learn With AI
    • Teaching an Open-Source LLM to Write The Office
    • Building a Kannada Physics Tutor LLM with Feynman-Style Explanations
    • View all
  • Playbooks
    • MLOps in Production: A Complete Guide
    • Essential Statistics for Production ML
    • AI Agents Playbook for Tech Leads
    • Building GenAI Applications: From Prototype to Production
    • AWS for MLOps
    • View all
  • Data Viz
    • Bicycle Physics: The Superman Position Explained
    • Tracking the Coronavirus Outbreak in India
    • Rhythm Similarity in Songs
    • Airbnb and the tale of many cities
    • IPL 2019: Who Needs What to Win?
    • View all
  • Illustrated Guides
    • RLHF Illustrated Guide
    • DriftCity: Statistics for MLOps
    • View all
  • Ventures
    • Spiticart
    • Rumi Schools
    • View all
Contact
← Back to AI Agents Playbook for Tech Leads

Chapters

Chapter 1: Agent FundamentalsChapter 2: LLM - Prompts, Goals, and PersonaChapter 3: Agent MemoryChapter 4: Tool Use and IntegrationChapter 5: Data Management and RAGChapter 6: Orchestration and Task DecompositionChapter 7: Agentic PatternsChapter 8: Context EngineeringChapter 9: EvaluationsChapter 10: GuardrailsChapter 11: Monitoring and ObservabilityChapter 12: Human-in-the-LoopChapter 13: Deployment and ScalingChapter 14: Trust and EthicsChapter 15: SecurityChapter 16: Cost OptimizationChapter 17: Latency OptimizationChapter 18: Production Best Practices
Chapter 9

Chapter 9: Evaluations

Build comprehensive evaluation frameworks to measure agent performance, quality, and reliability in production.

Evals

Previous

Chapter 8: Context Engineering

Next

Chapter 10: Guardrails

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