Orchestrating AI agents like employees.
Building Utom — a conversational workspace that learns how startups operate and executes alongside them.
May 29 • 6 tweets • 2 min read
Most multi-agent systems collapse in production because of one simple mistake: treating AI agents like chatbots instead of employees.
If you throw 5 highly capable, open-ended agents into a shared context window with a generic prompt, you don't get collaboration.
You get cognitive overload, infinite loops, and context drift.
Here is why you need to build an AI Org Chart. 🧵👇
In human organizations, we don't hire 10 people and tell them to "build a startup" without structure.
We define departments, assign roles, and set clear boundaries.
Yet, in AI engineering, developers routinely build "agent pools" where every agent has access to every tool and reads the entire database.
This is the equivalent of giving an intern root access and inviting them to every board meeting. 🤦♂️