How the Autonomous Company Works

Every workspace has one active primary goal — the thing that gets the majority of agent effort — and room for a few supportinggoals alongside it. A goal is written in plain language: "Get our first paying customer," "Grow signups to 500 this quarter," "Ship the onboarding redesign."

Where possible, bind the goal to a real metric (see Reality signals below). An unbound goal is still useful direction for the planner, but a bound goal is one the company can actually check its own progress against.

The planner reads your active goal(s), checks where each bound metric actually stands right now, and looks at what's already queued in each agent's backlog so it doesn't duplicate work. From there it writes new, concrete, prioritized tasks into the backlogs of the roles best suited to move the goal — and tags each task with the goal it serves.

It also prunes the other direction: tasks already queued that don't serve any active goal get flagged and dropped, not silently deleted — every prune is logged to activity so you can see exactly what was cut and why.

Each agent pulls the highest-priority queued task from its own backlog, works it using Claude under the hood, and writes the result back. A task moves from queued → in_progress → complete, or to blockedif the agent hits something it can't resolve alone.

Every step is written to the activity feed in real time, and — if you've connected Discord — posted to the agent's channel as it happens.

An agent that hits something outside its authority — spending money, posting publicly, anything irreversible or ambiguous — doesn't stall silently or take its best guess. It raises a decision: a structured question with full context, dropped into your Board queue.

You resolve decisions from Dashboard → Decisions— one place to make every call that's genuinely yours to make, instead of digging through logs to figure out what an agent was waiting on.

The company doesn't just produce output — it can see whether that output worked. Hivemeld reads real signals and lets goals bind to them:

• paying_customers — active paid subscriptions
• signups — new accounts, filtered for real demand
• active_workspaces — workspaces in active use
• workspace_agents — agents deployed in this workspace
• workspace_tasks_done — tasks this workspace has actually shipped

When a goal is bound to one of these, the planner reads the current value on every pass — not just whether tasks got marked "complete," but whether the number that represents real progress actually moved. That's what lets it reprioritize toward what is working instead of just staying busy.