ExBooks · Agentic AI · Draft · expert review required
The Agent Reliability Loop.
Evals, Observability, Testing, and Production Operations
An agent can produce a correct final answer through an unsafe trajectory, or appear stable while users quietly repair its work. This book treats reliability as a production discipline rather than a benchmark number.
It shows teams how to define task success, build failure taxonomies, design evaluation sets, grade outcomes and paths, calibrate automated judges, run adversarial cases, observe traces, detect drift and gate releases.
Publisher-adapted draft; audience scope awaits expert review.
Agentic AIEvaluationObservability
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Read a free sample (PDF, 23 pages) Ask about this bookTitle, subtitle and cover come from the ExBooks 2026 portfolio; the free sample is taken from the 6 x 9 in interior. This publisher-adapted draft still awaits expert review; no ISBN or price is confirmed yet.
StatusDraft · expert review required
TopicsAgentic AI · Evaluation
ImprintThe Research Ledger Press
Print length196 pages · 6 x 9 in
FREE SAMPLE
Read the first chapter
before you buy.
The free sample is a 23-page PDF with the title page, the table of contents and Chapter 1: Define Reliability for a Trajectory. It is an excerpt only; the complete book can be read free on Google Drive or ordered directly from the author.
THEMATIC THREADS
01Evaluation and observability
A theme of the book. The free sample includes the table of contents and the first chapter.
02Testing and reliability
A theme of the book. The free sample includes the table of contents and the first chapter.
03Production operations
A theme of the book. The free sample includes the table of contents and the first chapter.
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