AI agent delivery checklist

An AI agent project should not be judged only by model output. Data, tools, permissions, testing and operations matter just as much.

Before launch

Confirm knowledge sources, API permissions, prohibited answer scope, logging, exception handling, human handoff, mobile experience and SEO metadata.

After launch

Track user questions, failed answers, lead signals, page gaps and knowledge base update frequency. Launch is the beginning of operations.