
A business-friendly guide to tool schemas, identifiers, authorization, error handling and proof that an agent action actually succeeded.

Follow a customer address change through an agent loop and learn why tool requests, successful execution and verified completion are different states.

A practical rejection checklist for projects that may be better served by cleaner data, simpler workflows or a single bounded model step.

Choose the right automation architecture by examining who controls the next step, which actions are permitted and what evidence proves completion.
Explore sourced guides to AI agents, practical workflows and business models. Understand implementation choices, operating costs and limitations. Hypothetical examples are labeled; commercial claims are attributed, not promises of income.