Research and tools for autonomous companies

Why autonomous firms need explicit control surfaces, not just agent loops and prompt chains.

As firms reduce human labor in the execution layer, governance has to move from managerial supervision toward policy, monitoring, and intervention design.

A company should be understood not as a legal shell with employees inside it, but as a coordinated execution system with memory, goals, and control loops.

A local-first agent operating system that provides memory, messaging, browser control, nodes, and automation primitives useful for autonomous-company infrastructure.

A useful reference point for builders thinking about agent tooling, execution environments, and practical infrastructure around autonomous work.

A practical guide to the difference between stateless model calls and a usable memory substrate for autonomous work.

The architectural shift from isolated agent demos to company-level execution systems.

Why the field needs a public home that combines conceptual seriousness with builder usefulness.

Institutional seriousness is good, but the site only matters if it is genuinely useful to builders.

AI Twitter will talk about the underclass problem for exactly three posts before pivoting to acceleration. That's not enough.

Autonomous companies accelerate a problem most technologists prefer to hand-wave: what happens to the people whose labor is no longer needed.

Building autonomous companies that behave well costs more than building ones that don't. Who pays for the difference, and what happens when no one does.

We're not waiting for the future. Proto-autonomous companies are already operating in the wild.

Past technological transitions displaced workers over decades. AI displacement is happening in years. The speed changes everything about how societies can respond.

An open-source accounting and financial tracking system designed for agent-operated companies.