Demand-Driven Context: A Methodology for Coherent Knowledge Bases Through Agent Failure
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youtube.com
Author
AI Engineer
Date
Context
An AI agentAn 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.Full definition →'s failed attempt can help identify which organizational knowledge needs documenting. This workshop proposes giving agents real problems, examining where missing information blocks them, and adding that knowledge to a shared context windowThe maximum amount of text a model can consider at once — its working memory for the current conversation or task.Full definition → base.
The published description calls for growing the collection problem by problem and storing it in Markdown, with agents of different roles using the same shared material. The intended benefit is a closer connection between documentation effort and questions that arise in actual work: each addition addresses a demonstrated information gap.
Terms in this piece · Glossary
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.
context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.