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How LangChain Built an Open-Source Design Agent in Slack

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x.com
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LangChain@LangChain

How we built Content Studio, an open-source design agent in Slack that makes on-brand videos, graphics and decks, and the harness that powers it. https://t.co/pevQsp0A4J

Why it matters

Shows how to build a long-running multi-: encode taste as skills and code-enforced gates, run subagents asynchronously, and delete workaround rules as models improve. Includes cost data and a forkable repo.

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.
  • agent harness — The scaffolding around a model that turns it into a working agent — the loop, the tools it can call, and the rules for when to stop.
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