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The Production Guide to Building AI Agents That Actually Work
Stop building toy demos. Start shipping production-grade AI agent systems.
This comprehensive technical guide bridges the gap between research papers and real-world deployments, teaching you to architect, implement, and scale autonomous multi-agent systems that handle millions of requests in production.
What Makes This Book Different:
Written by António Fontoura-AI engineer with 10 years of production experience, inventor of two patent-pending AI systems, and founder of Arcannia, an AI memory infrastructure platform processing 50,000+ agent executions daily.
This isn't another intro to AI. This is the field manual for senior engineers who need to design agent systems that scale, stay within budget, and don't hallucinate into production incidents.
You'll Learn:
Real Numbers, Real Systems:
Every chapter includes concrete metrics:
462 Pages Covering:
Who This Book Is For:
Prerequisites: Strong programming background, APIs and distributed systems knowledge, LLM familiarity.
Patent-Pending Innovations:
Plus deployment patterns from Arcannia: 200,000+ memory retrievals daily, 85% relevance, sub-200ms latency.
From the Author:
"I wrote this book as my own technical reference. When you hyperfocus on a problem, go deep, then step away for months, you need documentation you can trust. Every pattern, cost calculation, and failure mode comes from real production systems."
The Bottom Line:
If you're building AI agents for production-systems that need to scale, stay reliable, and justify their cost-this book will save you months of trial and error.
Stop guessing. Start building agents that work.
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Take 20% off your first order
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