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AI Engineering in Production
A Practical Guide to Building Reliable AI Systems

https://www.signitysolutions.com/hubfs/AI-Engineering-in-Production.pdf

This eBook offers a practical framework for building AI systems that keep performance, costs, and security under control.Date Published: October 10, 2026

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What Will You Learn?

Discover how to design, test, monitor, and secure AI systems for real-world use. Learn practical approaches to evaluation, context engineering, cost optimization, and agent reliability across the AI lifecycle.

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Understand Why AI Projects Fail in Production

Learn why promising prototypes struggle under real workloads. Explore common issues such as rate limits, agent errors, and missing fallbacks, along with ways to design systems that handle failures gracefully.

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Measure AI Quality, Performance, and Cost

Learn how to evaluate AI models and agents using realistic test cases. Discover how to monitor requests, improve context quality, and track the cost of completing tasks.

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Build Reliable and Secure AI Agents

Explore how retries, guardrails, and controlled autonomy help agents operate reliably. Understand how to reduce prompt injection risks, restrict permissions, and introduce human oversight.

Whether you are building your first AI application or improving an existing deployment, this guide helps your team establish the testing, monitoring, and safeguards needed to grow with confidence.

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