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Lean Agentic AI: Minimizing Cost, Carbon, and Complexity is the first book of its kind-a practical, actionable, and deeply insightful guide to building agentic AI systems that are not only powerful but efficient, sustainable, and scalable by design.
As autonomous agents move from prototypes to production, most organizations are discovering a hidden cost: their systems work-but they waste. Tokens pile up. Model calls multiply. Tools fire blindly. Energy bills spike. And emissions soar-silently. While the outputs look smart, the systems behind them are often bloated, opaque, and expensive to maintain.
This book changes that.
From the author behind several enterprise AI transformations, Lean Agentic AI introduces a new mindset for the agentic era-one rooted in discipline, clarity, and intentional architecture. It's not about more agents. It's about better ones.
Inside, you'll learn how to:
Design agent workflows that avoid overthinking and unnecessary retries
Build prompts that are precise, scoped, and cost-aware
Choose the right model for the right task-including when not to use one
Implement observability for emissions, cost, latency, and drift
Make agents self-aware of their token budgets, fallback logic, and energy use
Deploy in low-carbon regions and leverage cleaner infrastructure
Embed governance as defaults, not bottlenecks
Avoid bloat as you scale, and spot early signs of silent system decay
This is not a book about agent hype. It's a blueprint for sustainable success.
Every chapter tackles real-world inefficiencies with clarity-and offers repeatable strategies grounded in engineering realities, not just theory.
Whether you're an AI architect, platform engineer, enterprise leader, or part of a team experimenting with LangGraph, CrewAI, AutoGen, or custom frameworks-this book gives you the clarity and structure to build agentic systems that perform better and cost less-financially and environmentally.
The agentic future is coming fast.
This book ensures you meet it with control, confidence, and a lighter footprint.
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