AI system · Builder
AI Operating System
A modular multi-agent platform designed to coordinate specialized AI agents across research, engineering, operations, governance, and business execution.
- My role
- Builder — architecture, agent design, tool interfaces and orchestration logic.
- Status
- In development.
What it does
A coordination layer that treats agents like components: each one owns a narrow domain, exposes a small toolset, and hands structured output to the next. The system routes a goal to the right agents and keeps the run reviewable end to end.
The problem
Single general-purpose assistants degrade as tasks get longer and more specialised. Work spanning research, engineering and operations needs different tools, different context and different levels of human oversight at each step.
The approach
A modular multi-agent design: specialised agents with sharp toolsets, an orchestration layer that decides sequencing, shared memory scoped per run, and explicit approval points before consequential actions.
- Narrow agents with small, well-described toolsets rather than one agent with many tools.
- Explicit orchestration and capped loops so runs cannot spiral in cost or length.
- Run-scoped memory plus durable summaries instead of an ever-growing context window.
- Human-in-the-loop approval at the steps that change something outside the system.
Outcome & status
In development. The orchestration layer and agent tool contracts are the parts being built and tested now.