Agent layer
One agent layer operates everything below it. It reads the operation as a map, not as a prompt.
- Agent context architectureRunning
- Run ledger and handoff protocolRunning
Autonomous systems studio
We design, build and run autonomous agents, Grok-native bots and custom AI systems. Pick a time on the calendar: in 30 minutes we map the function, what the system may decide on its own, and tell you straight if an agent is the wrong answer.
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Open the booking pageWhat we build
Autonomous agents
A workflow waits to be triggered. An agent decides. We build systems that run a business function on their own schedule: they find the work, research it, choose an action, take it, and follow up without anyone opening a dashboard.
Grok-native bots
Most social automation is a scheduler with a text box. A Grok-native bot reads the live timeline, understands what is actually happening right now, and answers inside the window where a reply still earns reach.
Custom builds
The work that has no product to buy. Private model routing, browser automation fleets, render pipelines, ingestion and enrichment, internal tools that three people use forty times a day.
In operation
Everything we sell is something we already operate. 17 of these run unattended right now; the rest are in build or parked until the numbers justify them.
One agent layer operates everything below it. It reads the operation as a map, not as a prompt.
Research, script, voice, footage, edit and upload, unattended, on fixed daily slots.
Where the output goes, and the guards that stop it going twice.
Listings that cannot ship half-built.
Idle compute is a fault. An unguarded endpoint is a fault. An unmeasured model chain is a fault.
How it works
01 · 30 minutes
One call. We map the function you want an agent to own, the systems it has to touch, and the decision it is allowed to make on its own. If an agent is the wrong answer we say so on that call.
02 · 3–5 days
A written architecture: the action loop, the data it reads and writes, the model chain with its measured fallbacks, the limits, and the failure behaviour. Fixed price attached before a line is written.
03 · 2–4 weeks
Built against the real APIs from day one. No mock data, no staging fiction. You get access to the run logs while it is being built, not after.
04 · Ongoing or handover
It goes live under supervision, then under monitoring. Managed operation, or a full handover with the runbook and the repo. Your call.
Exposure timers, current limits, thermal cut-offs and watchdogs live in silicon and firmware. A computer, a model or a prompt is never the last line of defence.
Every device publishes its modules, sensors, limits, calibration and supported commands as a machine-readable schema. Software discovers hardware; it does not assume it.
Hardware and protocol engines run without any AI model. Claude, OpenAI, local models and plain scripts all talk to the same documented API, USB, BLE and MCP surfaces.
Optical output, temperature and timing are measured with calibrated sensors and logged with synchronized timestamps. Nominal specifications are inputs, not evidence.
30 minutes. If an agent is the wrong answer, you hear it on the call.