Chats close
The scope, the constraint, the decision — gone with the tab. The next session pays the first hour again just to rediscover them.
miOS · Operating layer
In productionThe operating system for AI work.
miOS gives every agent a workspace, every project a memory, and every launch a trail of proof. Ask, build, verify, remember, improve — one loop, enforced by the system instead of by discipline.
The problem
AI work evaporates.
A chat produces something useful. Then the tab closes, and the organisation keeps none of it.
Context scatters
The brief is in email, the build is in a repo, the check is in someone’s head. No single place holds the state of the work.
Nothing is provable
“Did we ship it?” turns into a search party. Without a record attached to the project, done is a feeling, not a fact.
Six capabilities
One layer where the work lives.
Each capability exists because a real operation needed it. Together they make AI work durable.
Agent workspaces
Role-based agents for service, sales, finance, product and client delivery — each with its own scope, permissions and standing instructions.
A delivery agent opens a client project and finds the history, constraints and open items already loaded. It cannot wander into finance, and finance cannot wander into it.
Memory and proof
Decisions, deploy records, screenshots and status checks written to the project they belong to — durable, not conversational.
Three weeks after a release, “did we ship it” has an answer with evidence attached — not a shrug and a scroll.
Browser and app control
Agents operate real dashboards and live pages — open, inspect, act, capture — instead of assuming what a screen says.
After a DNS change, an agent loads the live site, confirms the redirect resolves, and files the capture. The check ran against the actual page.
Messaging and follow-up
Client threads, internal handoffs and notifications carry owners and due-backs — nothing depends on someone remembering.
If a reply never comes, the silence surfaces on schedule instead of being discovered a month late.
Launch infrastructure
Cloudflare, GitHub, Vercel and Actions wired into one path — branch, preview, review, deploy, check.
A page moves from branch to preview to production with DNS, SSL and release checks in the same run.
Operations intelligence
Cadence checks, performance reads, QA, blockers and escalation paths across everything the layer operates.
The operator starts the day with a ranked priority list, not twenty open tabs.
The loop
Five verbs, enforced.
Every unit of work in miOS moves through the same five stages. The system will not let a step be skipped, which is the whole point.
AskThe brief is filed against a project. Scope and constraint are named before anything is built.
BuildThe work happens inside the agent’s boundary, against the context the project already holds.
VerifyA real check runs against the real thing — a live page, a status code, a reconciled figure — and the result is captured.
RememberThe decision and the evidence are written to the project. Not to a chat log that closes.
ImproveThe next run starts from here, not from zero. This is where the compounding actually comes from.
Underneath
What miOS is built on.
An SDK, not an integration list
Systems connect once and become available to every agent in the workspace. Adding the seventh agent does not mean rebuilding six integrations.
Models chosen per job
Different work wants different models. miOS routes the task to the one suited to it rather than forcing one model to be adequate at everything.
Agents trained on operations
Not trained on the internet’s idea of your industry — trained on your inventory, your pricing rules, your tone, your escalation paths.
miOS runs this company.
Every site, sandbox and system on this domain was built and launched through the loop above. If you want to see what it does, the honest answer is: look around.