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Case study / os-entreprise
Our product
The multi-agent workshop
The orchestration OS we build — a multi-agent system that aligns the AI agents on one plane: design, engineering, growth. A real-time view of the hive, shared memory, kill-switches that keep a human in command. Proof of what we can build for you.
- Role
- Design & build, end to end
- Stack
- TypeScript · Node.js · Multi-agent orchestration · Claude API · React
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Overview
- The problem
- Running a studio solo means holding design, code, growth and client follow-up at once — and losing the thread the moment it all lands together. It needed one place where specialised agents own each craft, without the pilot losing the overview or the control.
- The craft
- A multi-agent OS around a hive, where each agent — design, engineering, growth, SEO, content, security — carries one competence, and a real-time graph shows who does what. A kanban board holds progress, a shared memory avoids redoing work. Non-negotiable rule — the agent proposes, the human approves; kill-switches stop any agent in one gesture. The speed of one contact, the depth of a team.
- The result
- Our orchestration OS, shown as it actually runs — the agent proposes, the human approves. Not a pitch, a real system, continuously evolving, showing what the studio can build.
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On its real screens
In pictures
The operational cortex — the hive's activity in real time
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In detail
The context
A studio run solo has to hold everything at once — design, code, growth, client follow-up. os-entreprise was built so that this “everything” no longer rests on one head, but on a team of specialised agents, orchestrated from a single seat.
The hive
Each agent carries one competence: design, engineering, growth, SEO, content, security. A real-time graph draws the living hive — who is active, on which task, wired to what. You read the state of the studio at a glance, like a map.
The control seat
A kanban board holds progress, an observability module traces every decision and every action, a shared memory avoids doing the same work twice. The pilot never drops into the detail unbidden — the overview stays within reach.
The safety rail
The rule that matters: the agent proposes, the human approves. Kill-switches stop any agent in one gesture, and no sensitive action — a spend, a send, a write into real data — ships without explicit confirmation. The power of an autonomous team, the safety of a systematic sign-off.
Posture
This is the tool we build and actually use, shown as it runs — the engine behind our automation service, driven by the same fleet of agents as the studio. No headline metric: “an orchestrated team of AI agents” is a daily fact, proof of what we can build for you.