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 organization keeps none of it.
01
Chats close.
The scope, the constraint, the decision — gone with the tab. The next session pays the first hour again just to rediscover them.
02
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.
03
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, the constraints, and the open items already loaded. It works inside that boundary — 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.
A release goes out and the deploy record lands on the project with the screenshot and the status check attached. Three weeks later, "did we ship it" has an answer with evidence — 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, captures what it saw, and files the capture. The check ran against the actual page, and the record proves it.
Messaging and follow-up
Client threads, internal handoffs, and notifications carry owners and due-backs — nothing depends on someone remembering.
An answer goes out and a follow-up is set against the project. If the reply never comes, the silence surfaces on schedule instead of being discovered a month late.
Launch infrastructure
Cloudflare, GitHub, Vercel, and GitHub Actions wired into one path — branch, preview, review, deploy, check.
A page moves from branch to preview URL to production with DNS, SSL, and release checks in the same run. The launch is a sequence the system walks, not a checklist a person hopefully remembers.
Operations intelligence
Cadence checks, performance reads, website QA, blockers, and escalation paths across everything the layer operates.
The layer reads what moved, what stalled, and what broke — then ranks what to touch first. The operator starts the day with a priority list, not twenty open tabs.
The loop
Five verbs, enforced.
Every unit of work in miOS moves through the same five verbs. The system does not let one get skipped.
01
Ask
Work starts as a named request with a scope and a constraint — not a vibe left in a chat.
02
Build
Everything happens on a branch with a preview, so there is always a before and an after.
03
Verify
Nothing is done until the live check passes and the evidence is captured.
04
Remember
The decision and the record are written to the project before the session ends.
05
Improve
With the last run on file, the next improvement is obvious instead of archaeological.
Who runs on it
Apex runs on miOS before anyone else does.
The honest test of an operating layer is whether the company that built it runs on it. Ours does. The group's sites, client operations, and product launches run through miOS daily — the same workspaces, records, and checks we put under your work.
The stack underneath
miOS sits on infrastructure you already trust.
miOS sits above these four: it drives them, verifies against them, and writes the record. Payment products are built and operated by Apex Pay, a sibling company under Apex Intelligence AI Inc.
Run on it
Put an operating layer under the AI work.
Tell us the work your team cannot prove or repeat today. We will scope what it takes to run it through miOS.