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Most agent demos optimize for the happy path. Production systems fail in the gaps: unsupported claims, stale evidence, unsafe tool calls, brittle recovery, and tests that reward surface fluency instead of reliable behavior.

Failure-First AI Agents is a hands-on guide to finding those failures before users do. It turns agent quality into observable contracts, executable evaluations, and explicit release gates.

This Early Access v0.1 edition includes five complete chapters, runnable Python examples, and 27 focused tests. You will learn how to define failure taxonomies and measurable invariants; build deterministic test harnesses for nondeterministic systems; evaluate retrieval, grounding, and citation quality; test tool use, side effects, retries, and idempotency; and connect evidence to production release decisions.

The planned complete book contains 15 chapters. Early Access readers receive future versions as the manuscript expands.

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Kick off your book project, get started with GhostAI, get better at marketing, or spend the day doing all three! Free live workshops on Zoom. Saturday, June 27, 2026.

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