Building AI agent teams

By @rsrc.php · Instagram

Source: https://www.instagram.com/reel/Db6j682MB72/?dlrf=MTJvNmd0ZXJqYmRkYw==

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Summary

The creator is rebuilding their business as a set of AI agents, each mapped to a department like marketing or social media, with its own instructions and memory. Agents write notes to themselves after every session so they keep improving and pick up right where they left off.

Core ideas

One context card plus 8 ideas

Departments as agents: Work gets split into areas like a company's departments, and each area becomes its own AI agent with a defined role.
Prompt MD files: Every agent runs off a markdown file that spells out exactly what it does and how it operates.
Self written memory: At the end of each session the agent is asked what it learned, and it writes that down for future reference.
Handover files: Agents leave notes so the next session starts exactly where the last one stopped, no re-explaining.
Compounding improvement: The more the system gets used, the more lessons pile up and the sharper the agents get.
Just a folder structure: Underneath the concept, it's literally files and folders, nothing more exotic than that.
No fixed blueprint: There's no single correct way to set this up, flexibility is built into the approach.
Start small: The advice is to build one agent first rather than trying to launch the whole system at once.

Quotes

“I'm turning my entire business into a whole team of AI agents.”
@rsrc.php

“At the end of every session, I ask the agent, what have you learned?”
@rsrc.php

“At the end of the day it's just a folder structure and you can set it up in so many different ways, there's not really a right or wrong.”
@rsrc.php

“That's basically an agentic OS, you can start small and just start by building one.”
@rsrc.php

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