SHIPPED · BUILT AND RUN BY US
A command deck for AI agents. You dispatch. You approve.
Agent Cockpit commands fleets of AI coding agents across tasks: dispatch work, watch the agents build, and review outputs before anything ships. Built on our own infrastructure, used to build our own software. A human reviews everything that comes out.
Fixed-fee diagnostic. Written scope before any build begins.
Product recreation with simulated data. The build is real.
Dispatch three agents. Watch them run. Approve what ships.
Click Dispatch to start the simulation. The agents advance in real time. Approve one to see the audit row write itself.
Three agents, three tasks. Click Dispatch to start.
Product recreation with simulated data. The build is real.
No outputs ready yet.
Product recreation with simulated data. The build is real.
All agent names, task descriptions, and outputs are fictional and illustrative only. No real code or production system is shown.
How Agent Cockpit works.
Facts only. This is the system we use to build our own software.
Multi-model agent fleet
Agent Cockpit commands fleets of AI coding agents running across multiple AI models. Each task is dispatched to an agent configured for the job. You pick the task; the system picks and coordinates the agents.
Task dispatch with live progress
Submit a task and watch agent progress in real time. Status advances from PENDING to WORKING to REVIEW as the agent completes its output. Nothing moves from REVIEW to shipped without a human step.
Agent and SOP library
Reusable playbooks the agents follow. Define how each type of task should be handled, which tools the agent may use, and what the output format should look like. The library compounds: every new playbook is available to every future task.
Daemon architecture on our infrastructure
Agent Cockpit runs as a daemon on our own infrastructure, not a third-party cloud service. Tasks run persistently. The daemon manages agent lifecycle, retries, and state between sessions.
We use it to build our own software
Agent Cockpit is not a demo. It is the system we use to build and maintain our own products, including this one. Every task dispatched goes through the same review queue shown above.
Human reviews every output
Agent outputs go to a review queue, not directly to production. A human reads the output, approves or revises, and the audit trail records the decision. The Oversight Layer is built in, not bolted on.
Every system we ship runs inside the Oversight Layer
Agent Cockpit includes the full Oversight Layer: an approval inbox where every agent output waits for a human, a timestamped audit trail of every dispatch and review, and a one-click kill switch that pauses all agents immediately. Human in the loop is not a feature you add later. It is how the system is built. Read how we govern our AI →
Want one like this in your operation?
Put a command deck on your AI coding work.
Dispatch, review, and audit AI agent work from one place. We scope it, build it, and run it on your infrastructure.
Fixed-fee diagnostic. Written scope before any build begins.