An architecture that runs several AI agents on one brain, one shared tool registry and clear permission boundaries — with every write gated by human approval.
One Smart Assistant Is Easy. Ten That Don't Break Each Other Is Not.
As agents multiply, so do the questions: which agent may touch which data, who changed what, can one failure cascade? We answer them in the first line of the architecture, not afterwards. Every agent reaches its tools through a single registry; every tool is contracted, typed and audited.
Autonomy comes in stages. The agent reads and drafts; writes go through human approval, and critical operations never run autonomously. The AI can never exceed the permissions of the person using it; identity and tenant context always come from the server, never from the model. Specialist agents hand work to each other, but all of them draw on the same memory and the same rules.
What We Build
- One brain, many surfaces: chat, panel, automation and external agents share one core
- Contracted toolsets over MCP and external agent integration
- Staged autonomy: read → draft → human approval → apply
- Handoff between specialist agents (orchestrator → specialist)
- An audit record on every call, publish approval queues and locks
Where It Fits
Assistants embedded in SaaS products, AI-managed content and websites, operations and internal process agents, agent teams that work in tools like Linear and the CRM.
In Our Own Projects
Motice: an assistant layer where the interface and the AI pass through the same door and risky writes are bound to approval cards. Anvil: content infrastructure where the agent edits the site only through typed tools and every change moves from draft to approval. APEX: a company setup where conversation, coding and content agents share one MCP brain.