Overview

Are you building AI tools that just chat or agents that actually work? In an era where every product claims to be ""AI-powered,"" The Agentic AI Handbook cuts through the noise and shows you how to build real-world LLM-powered agents that think, act and deliver outcomes. This is not a hype manual. It's a field-tested, code-friendly and builder-first blueprint for creating agents that go beyond prompt chaining and into true autonomy. Whether you're an indie hacker, a product manager or a developer shipping production AI, this handbook gives you the tools to: 1) Design Minimum Viable Agents (MVAs) that solve real problems 2) Architect memory, planning, and decision systems using modular patterns 3) Run evaluation tests to validate behavior and reduce hallucinations 4) Leverage reusable frameworks to scale agents across verticals ➡ What You'll Learn Inside: 1) The MVA Framework: Build usable agents in 48 hours 2) 8+ Design Patterns from real deployments 3) Agent Tests: Evaluate performance without needing human labels 4) State Machines + Toolchains made simple 5) Memory Architectures that persist context effectively 6) Best practices from builders deploying agents in finance, ops, customer support, and more ➡ Who This Book Is For: 1) Builders who want to go from ""toy GPT project"" to real-world agent 2) Product managers and founders exploring agent-first products 3) LLM enthusiasts looking to move beyond tutorials and demos 4) Anyone tired of ""AI"" that only outputs text-and wants to build systems that do things ➡ Why This Book Stands Out: No fluff. No hype. Real code, tested frameworks, production-ready patterns. 100+ pages of distilled insights designed for high-agency builders. Written by a practitioner deploying agentic systems in the wild.

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