• AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
• RAG — Retrieval-augmented generation — fetching relevant documents first and pasting them into the model's context so it answers from your data instead of memory.

It shows agents being wired directly into governed enterprise data infrastructure to answer questions and build dashboards without custom RAG pipelines or query writing.

• articleUnpacking ChatGPT Work: the Agent for a Billion UsersShlok Khemani
• articleAn opinionated guide to which AI to use to do stuffsimonwillison.net
• videoAgents in Production: How OpenGov Built and Scaled OG Assist - Gabe De Mesa, OpenGovAI Engineer

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