Free 2026 edition · 54 pages · Read online or download
The AI Agent
Engineering Handbook
Frameworks, design patterns, memory, orchestration, offline-first architecture and cost-smart deployment: a field guide for teams building agents that survive contact with production.
About the handbook
A production map for a fast-moving field
AI agents moved from research demonstrations to systems that answer customers, reconcile invoices, write and review code, and route fleets. The tooling expanded just as quickly. Most teams do not lack options; they lack a map.
This handbook covers the full build surface: definitions, reusable design patterns, the 2026 framework landscape, MCP and A2A, memory architecture, orchestration, portability, local deployment, API cost optimization, scaling, security, evaluation, and a method for tailoring agents to a specific use case.
Complete online edition
Contents
Four parts, fourteen chapters and four appendices, from foundations to a 90-day production playbook.
Part I: Foundations
01 What Is an AI Agent (and What Isn't) A practical definition of AI agents, their six core components, the autonomy spectrum, and when a deterministic workflow is the better engineering choice. 02 Core Design Patterns The universal agent loop and seven reusable production patterns: chaining, routing, parallelization, orchestrator-workers, evaluator-optimizer, ReAct, and reflection.Part II: The Toolkit
03 The Framework Landscape, 2026 A field guide to twelve production AI agent frameworks, including LangGraph, CrewAI, vendor SDKs, Pydantic AI, LlamaIndex, Haystack, and Microsoft Agent Framework. 04 Tools, Function Calling & Protocols (MCP, A2A) How agents use tools, how to design reliable function contracts, and how MCP and A2A standardize tool access and agent-to-agent delegation. 05 Memory: From Context Windows to Knowledge Graphs A practical taxonomy of agent memory, including working, episodic, semantic, and procedural memory, plus vector, graph, and tiered architectures. 06 Orchestration: Single Agents to Multi-Agent Systems Agent orchestration topologies, state machines, durable execution, human approval gates, and the failure modes of multi-agent systems.Part III: Production Engineering
07 Platform Independence & Portability How to isolate model vendors and frameworks behind gateways and owned interfaces so AI agent systems remain portable. 08 Offline-First & Local Agents Local AI agent deployment with Ollama, vLLM, llama.cpp, quantization, hardware sizing, and hybrid edge-cloud architectures. 09 Credit-Smart: Cost Optimization for Online APIs Control AI agent API costs with prompt caching, model routing, cascades, batching, semantic caches, and per-task cost tracing. 10 Scaling, Reliability & Safety Engineering Production patterns for stateless workers, checkpoints, budgets, guardrails, sandboxing, and prompt-injection defenses. 11 Evaluation & Observability How to evaluate and observe AI agents with traces, outcome metrics, trajectory tests, LLM judges, dashboards, and an improvement flywheel.Part IV: From Use Case to Agent
12 Designing Custom Agents for Your Use Case A discovery and architecture method for selecting use cases, setting autonomy, defining tools and memory, and writing an agent specification. 13 Case Studies & Field Patterns Production AI agent lessons from enterprise case studies, adoption data, regional patterns, and the gap between demonstrations and measurable outcomes. 14 The Road Ahead & a 90-Day Playbook A practical twelve-week plan for taking an AI agent from use-case selection to measured pilot, with realistic gates for scaling or stopping.Appendices
A Framework Quick Reference A one-page AI agent framework shortlist covering production fit, strengths, and tradeoffs. B Glossary of Agent Engineering Terms Working definitions for AI agent engineering terms including MCP, A2A, ReAct, durable execution, memory, orchestration, and evaluation. C The Builder's Checklist A production checklist for agent architecture, cost, safety, reliability, evaluation, launch, and operations. D Sources & Further Reading Research, engineering guidance, protocols, economics, security references, and further reading used in the handbook.Build with ElephantClock
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