Reliable by Design
Engineering AI Systems That Hold
Software engineers have been shipping AI features for years. Most of them are held together with string.
The problem isn't the models. The models are extraordinary. The problem is the layer between the model and production — the code that calls it, validates its output, handles its failures, controls its cost, and keeps it from doing something catastrophic at 2 AM on a Saturday.
That layer is where this book lives.
Reliable by Design covers how to structure LLM outputs so they're type-safe and testable, how to build retrieval and agent systems with explicit control flow, how to write evaluation pipelines that catch regressions before users do, and how to operate AI services with the same discipline you'd apply to any critical system.
This is a book about the craft of building AI systems that survive contact with real users, real budgets, and real incidents.
Structure LLM outputs
Type-safe, validated, testable. Stop relying on free-form text in production paths.
Retrieval & agents with explicit control flow
Build systems where the engineer — not the model — decides what happens next.
Evaluation pipelines that catch regressions
Automated evals that fail your CI before they fail your users.
Operate AI services with discipline
Observability, cost control, failure recovery, and incident response for probabilistic systems.
Available Now
Reliable by Design is available now on Amazon.
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