![Scaling an AI agent without making it dumber [Attention scoping pattern]](https://external-preview.redd.it/b4cA-EfROHTu5u_BiEjgg99o7lFeLwoEodpRCjkPHxM.png?width=140&height=73&auto=webp&s=da6a0cd2eb4dfb447f6054f8695e70367e0f4115 "Scaling an AI agent without making it dumber [Attention scoping pattern]") | I wrote about how I scaled a single AI agent to 53 tools across five different product contexts in one chat window. The first two architectures failed under real conversations. The one that worked was unexpectedly simple: scope which tools the model sees per turn based on the user’s current intent instead of exposing all 53 tools at once. This post covers: - The two failed approaches (and why they broke) - The middleware pattern that actually worked - A three layer system prompt structure that made it reliable Read the full post: https://medium.com/@breezenik/scaling-an-ai-agent-to-53-tools-without-making-it-dumber-8bd44328ccd4 checkout the pattern with the quick demo on Github - https://github.com/breeznik/attention-scoping-pattern [link] [comments] |
