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Parlant AI Agents in Production: Build Reliable, Policy-Driven AI Systems That Follow Rules and Use Tools Safely at Scale
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Publisher: Independently Published
Published: Dec 16 2025
Pages: 156
Weight: 0.62
Height: 0.33 Width: 7.00 Depth: 10.00
Language: English
Parlant AI Agents in Production was written for builders who have already learned the hard lesson: impressive demos are easy, reliable AI agents are not.
Have you ever shipped an AI agent that sounded smart in testing but failed under real users, real edge cases, or real compliance pressure? Have you struggled to explain why an agent made a decision, or worried about what it might do next when connected to real tools and systems? If so, this book speaks directly to that challenge.
This book presents a practical, production-first approach to building AI agents using Parlant's behavior-driven model. Instead of relying on fragile prompts and clever language tricks, it shows how to design agents as controlled software systems-with enforceable guidelines, structured journeys, audited decisions, and safe tool usage. The focus is not on experimentation, but on building agents that operate predictably at scale, survive audits, and earn long-term trust.
Inside, you'll learn how production teams design AI agents that behave consistently, follow rules deterministically, and integrate with real systems without introducing risk. Every concept is grounded in real-world patterns used by teams deploying agents into customer support, internal operations, and regulated environments.
By reading this book, you will learn how to:
Design policy-driven AI agents that behave predictably under pressure
Replace prompt-centric logic with enforceable guidelines and decision control
Model multi-step conversational workflows using structured journeys
Safely integrate tools while preventing unauthorized actions and side effects
Debug, test, monitor, and evolve agent behavior like production software
Scale AI agents across environments without regressions or behavioral drift
Build AI agents that stakeholders can audit, trust, and operate long term
Written for software developers, AI engineers, product leaders, and system architects, this book treats AI agents as serious infrastructure-not experiments. The tone is direct, practical, and grounded in what works when failure is not an option.
If you're ready to stop gambling on prompts and start building AI agents that behave correctly, consistently, and safely at scale, this book is your playbook.
Get your copy today and build AI agents that are ready for production-by design.
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