How they think. How they decide. How they act.
Not chatbots. Not copilots. Autonomous agents that run your company while you sleep. Here's how they work.
Agents are organized like a real company.
CEO
CTO
CFO
CPO
CMO
CCO
CISO
CRO
8 executives • 24 worker agents • Fully autonomous
The decision-making loop that runs continuously.
Agent reads data from MCP servers. Errors, logs, metrics, tickets—whatever is relevant to their role.
Agent analyzes context. Is this urgent? Is it in my domain? Do I need more information? Should I escalate?
Agent chooses an action. Small decisions are made autonomously. Big decisions go up the chain for approval.
Agent takes action via MCP tools. Deploys code, responds to tickets, disables feature flags, sends alerts.
OBSERVE
ORIENT
DECIDE
ACT
Runs continuously, 24/7 • Each loop: seconds to minutes
Real scenarios. Real decisions. Real autonomy.
FORGE (CTO) handles this autonomously
Why autonomous: Production stability is FORGE's domain. Rollbacks are pre-approved for error spikes. No human needed at 3am.
COMPASS (CPO) escalates to founder
Why escalated: Roadmap changes affect the whole company. COMPASS gathers data and makes a recommendation, but humans decide priorities.
ADVOCATE (CCO) handles with worker agents
Why pattern escalated: Individual tickets are routine. But patterns indicate systemic issues that need executive attention.
Not everything needs human approval.
Agent decides and acts. No approval needed.
Worker proposes, executive approves.
Agent recommends, human decides.
MCP is the interface between agents and products.
Agents can query any product for data.
reflex.get_errors(since: "1h")
recall.query("user_id=123")
flux.get_metric("response_time")
echo.get_events(user: "abc")
Agents can take actions when needed.
cortex.disable_flag("new_checkout")
signal.send_alert(to: "apex")
dispatch.respond(ticket, message)
synapse.assign(task, agent: "coder")
Today, we're building the foundation. The observability tools that let AI actually see what's happening in your app.
Tomorrow, we'll build the first autonomous developer. An agent that can read error reports, write fixes, test them, and deploy—all without human intervention.
Eventually, a full executive team. 8 AI executives coordinating 24 worker agents, running an entire company while the founder makes a few key decisions each day.
It sounds crazy. That's why we're building it in public—so you can see for yourself whether it works.
We're building the tools first. Then the agents. Watch it happen.