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How We Solved Agent Building — Andrew Qu, Vercel

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youtube.com
Author
AI Engineer
Date

Context

Vercel's internal data assistant addressed a recurring interruption: employees' customer and product questions required a data scientist to write a query. The company's conference account describes rebuilding the assistant around a containing company knowledge, with tools to list files, read them, and run commands.

A recurring process then turned common queries into reusable instructions called skills. That gives subsequent runs accumulated knowledge about the company's work. The account offers a concrete design approach for internal assistants: make relevant business available in a workspace the can navigate, and preserve useful procedures from recurring requests.

Terms in this piece · Glossary
  • sandbox — An isolated environment where AI-generated code or agent actions run without being able to touch anything real.
  • context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
  • 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.
  • eval — A repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.
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