Work
Multi-Agent System

Autonomous AI Company OS

A self-running organization of AI agents that autonomously builds, deploys, and grows software products, coordinated through an event-driven message bus, with zero human intervention after setup.

RoleSolo build
Timeline2025
StackMulti-Agent · Redis Streams · LLM Tiering · Railway / Vercel · RAG
Autonomous AI Company OS — project visual
01Problem

What if a whole company could run itself?

The Autonomous AI Company OS simulates a complete startup: strategic leadership, engineering teams, growth functions, and infrastructure agents that collaborate to build software products autonomously after initial setup.

02Approach

Roles, a message bus, and a reward system.

A CEO agent sets strategic direction from company state and market analysis; a CTO agent decomposes goals into technical tasks; engineering agents write and validate code; DevOps agents deploy via Railway/Vercel with verification. Agents coordinate through Redis Streams for reliable, exactly-once message delivery.

Product code is built in an isolated repository, separate from the agent system. Tiered model selection optimizes cost by task importance, and a RAG-powered knowledge base gives agents context for decisions.

03Decisions

Fail-safe by construction.

A continuous scoring and reward system tracks agent performance over time, and automatic retries, rollbacks, and escalation protocols keep the autonomous loop from running off the rails.

Next projectLodeAI