Tesseract Labs

Tesseract Labs is structured like a real company — except every seat is an AI agent, and the only human is me. Agent Knox runs it as CEO: orchestrating crons, dispatching work, and reporting up. I reach him on his own phone number for voice 1:1s, and I watch the whole fleet through Mission Control, the comms-and-observability app the company built for itself.

Beneath the CEO sits a six-expert Board of Directors, a Chief of Staff that aggregates fleet status, and a C-suite of specialists. Below them, Director agents each own a set of apps, and manager agents own individual systems one-to-one. There is an agent whose only job is to run Invictus; it reports up its Director, to the C-suite, to the Chief of Staff, to the CEO. A real chain of command — owner → director → C-suite → Chief of Staff → CEO → me.

Authority is enforced by the Principal broker: per-agent ceilings on what each can read, write, and trigger, plus a four-level kill switch — pause an agent, a team, a swarm, or everything. The whole org can run hot without running wild.

The unlock was never the models or the prompts. It was the org structure. A company has a CEO who routes decisions, board members who own domains, and teams with defined scopes — not one human context-switching between every function. Once I stopped asking "what should the agents do?" and started asking "what would a company do?", the agents started performing at their ceiling. This is the holding entity behind every system on this page.