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Designing an Operating System for AI Agents

How I designed a platform that lets teams create, customize, and deploy AI agents across their organization

AI agents are powerful, but deploying them inside teams is chaotic.

Teams struggle with:

AI tooling today is developer-first, not team-first.

Teams don’t just need AI agents.

They need:

An operating system where agents can be created, configured, branded, monitored, and governed.

Just like:

This becomes:

OS for AI Agents

The dashboard answers:

“What AI agents exist in this workspace and how are they performing?”

Key elements:

This is the most important part.

Most AI tools expose a text box for prompts.

I designed this to feel like:

Creating a SaaS product, not writing a prompt.

This is the most important part.

Most AI tools expose a text box for prompts.

I designed this to feel like:

Creating a SaaS product, not writing a prompt.

One of the biggest problems I identified while designing the Agent Maker was this:

Non-technical users don’t know how to “write prompts” or configure AI behavior properly.

Even with fields like Instructions and Personality, many users would still ask:

This is where I introduced a natural language AI assistant inside the creation flow.

Instead of forcing users to figure things out, the system helps them design their agent.

One of the biggest problems I identified while designing the Agent Maker was this:

Non-technical users don’t know how to “write prompts” or configure AI behavior properly.

Even with fields like Instructions and Personality, many users would still ask:

This is where I introduced a natural language AI assistant inside the creation flow.

Instead of forcing users to figure things out, the system helps them design their agent.