Publisher's Synopsis
What if your AI agent could think, plan, and act - all on its own - with zero hand-holding?
Building with AutoGPT: A Practical Guide to Building Autonomous AI Agents, Develop Scalable AI Agents Using GPT-4 and Python is your definitive blueprint for unleashing intelligent, self-directed agents capable of executing complex tasks with autonomy, precision, and real-world impact. Whether you're a developer, engineer, or tech innovator, this book equips you with the tools, patterns, and production-grade insights to build real AutoGPT-powered agents - not just demos, but systems you can trust to scale.
Inside, you'll explore how to architect reasoning loops, manage memory persistence, orchestrate tools and APIs, and deploy agent workflows that evolve through continuous learning. You'll learn to harness the power of GPT-4 with Python to create agents that plan tasks, call external functions, adapt based on feedback, and retrain themselves based on real usage - all while maintaining reliability, resilience, and cost control.
What sets this book apart is its deep technical clarity paired with real-world case studies, full pipeline blueprints, and best-practice deployment strategies. You're not just learning theory - you're building agents that work in production.
If you're ready to move beyond chatbots and build the next generation of intelligent automation, this book is your starting point.
Grab your copy and take control of what autonomous AI can do for you - before your competitors do.
