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
AI systems that run your operation unattended.
For operators with a function they want off a desk for good. We design, build and run autonomous agents, Grok-native bots, media pipelines and custom AI systems, on your infrastructure and your keys. Pick a time: 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.
Book a scope call
Choose a day, then a time
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Open the booking page- 17systems of ours running in production today
- 30minute scope call on video, no prep needed
- Fixedprice in writing before a line is built
What we build
Six ways an operation stops needing someone to watch it.
Three we build from nothing, two we run as production lines, one that tells you what your current stack actually does.
01 / Autonomous agents
Agents that own an outcome, not a prompt
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.
02 / Grok-native bots
Bots that live inside X, at timeline speed
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.
03 / Custom builds
The system that does not exist yet
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.
04 / Media pipelines
Research to published, with nobody in the loop
A daily content operation is a factory, not a creative act repeated by hand. We build the line: research, script, voice, footage, cut, quality gates and upload, running on fixed slots, with every artefact measured before it is allowed out.
05 / Growth systems
Distribution that cannot contact anyone twice
Search, outreach and social distribution are the parts of growth that reward consistency and punish volume. We build the systems that harvest demand, fill the gap, send once, and measure what the engine actually returned.
06 / Systems audit
Find out what your AI stack actually does at 3am
A fixed-scope review of an automation or AI system you already run. We measure the model chain on your real prompts, map every failure mode, read the logs you never read, and hand you a ranked list of what to fix, whoever fixes it.
Live reference system
One of these is running right now.
Mira is an autonomous X operator built on exactly this architecture. She finds conversations, writes in one locked voice, opens researched DMs once per person, answers inbound herself and hands over a booked call. Her ceilings are enforced in code and published as ceilings.
- Opener DMs
- 4 / day
- Quote posts
- 2 / day
- Inbound responder
- Always on
- Openers per person
- 1, ever
In operation
The systems we run for ourselves, every day.
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.
Media production
Research, script, voice, footage, edit and upload, unattended, on fixed daily slots.
- Long-form documentary studioRunning
- Short-form vertical clip lineRunning
- Digital publishing engineRunning
- Synthetic presenter systemRunning
- Performance creative engineRunning
- Synthetic voice studioRunning
- Generative media experimentsParked
Distribution and growth
Where the output goes, and the guards that stop it going twice.
- Search and discovery automationRunning
- Autonomous social operatorRunning
- Social distribution meshRunning
- Partner outreach laneRunning
- Continuous broadcast channelIn build
- Cold outreach platformParked
Commerce
Listings that cannot ship half-built.
- Marketplace publishing engineRunning
- Utility web network and promo engineParked
- Reputation defence systemParked
Infrastructure and safety
Idle compute is a fault. An unguarded endpoint is a fault. An unmeasured model chain is a fault.
- Compute governanceRunning
- Endpoint sentinelsRunning
- Research infrastructureRunning
- Model routing benchRunning
How it works
From one call to a system that runs on its own.
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01 · 30 minutes
Scope
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.
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02 · 3–5 days
Blueprint
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.
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03 · 2–4 weeks
Build
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.
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04 · Ongoing or handover
Run
It goes live under supervision, then under monitoring. Managed operation, or a full handover with the runbook and the repo. Your call.
Insights
Notes with a number in them.
An empty completion is a failure, not an answer
Same model, same effort: 16.7 of 36 at an 8,192-token budget, 30.0 of 36 at 32,768. The difference was answers that came back empty.
Rank model fallbacks by failure mode, not by score
We placed an arm scoring 16.3 of 40 above one scoring 19.3 of 40, because the first failed with rate limits and the second returned silent empties.
Model rankings do not transfer between prompts
Run-to-run spread on identical input was about six points; one arm scored 13 and 29 on the same prompt. One sample is not evidence.
Principles
Safety is enforced in hardware
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.
The instrument describes itself
Every device publishes its modules, sensors, limits, calibration and supported commands as a machine-readable schema. Software discovers hardware; it does not assume it.
Model-agnostic by design
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.
Measured, not assumed
Optical output, temperature and timing are measured with calibrated sensors and logged with synchronized timestamps. Nominal specifications are inputs, not evidence.
Security and trust
Written for the person who reads the headers before they book.
The security page →- Your accounts, your keysWe never hold the only copy of a credential.
- Limits in codeCeilings, caps and a kill switch you own, not a prompt.
- Gates fail closedNothing is logged-and-shipped-anyway.
- This site collects nothingStatic, cookieless, hash-locked scripts, HSTS preload.
Tell us the job you want off your desk.
30 minutes. If an agent is the wrong answer, you hear it on the call.