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Self-Improving Loops: Agents That Learn From Outcomes

This story is from 2026-10-29. It is preserved in the archive; the latest stories are on the live feed.

Throughout the AI System Design series we follow Mailmind, a fictional AI email assistant that reads an inbox, triages messages, and drafts replies. It is our running example. Before you read: Prompt Engineering for Agents, Production Grade and Evaluating Prompts: Beyond 'Looks Good to Me' . A self…

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  1. 2026-10-29 13:00 · DEV Community — AI
    Self-Improving Loops: Agents That Learn From Outcomes

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