AlevatedOS is the mission-control layer for any team running multiple AI agents in production — engineering, marketing, operations, growth. Wherever a fleet is live, this is how you operate it. One briefing. One board. One approval gate. Built for operators who run real fleets — not demos.
You set up the agent. You handed it the tools. Then traffic moved on and you stopped looking. That's where the silent failures live.
You spend 20 minutes every morning piecing together where things stand from Slack, docs, and three open dashboards. By the 9am call you're already behind.
Agents take consequential actions — provisioning teammates, sharing secrets, signing off on copy — with zero human checkpoint. When it goes wrong, it goes wrong fast.
A project goes quiet. You find out three weeks later, on a customer call, that the brief never landed. There's no objective signal that a fleet member has drifted off-script.
Four moves. The same four every morning. AlevatedOS sequences them so you walk into the 9am with a current picture of every fleet member.
Sixty seconds of audio. Or read it inline if it's not that kind of morning. Iris pulls the state of every active project, scores it against the trajectory model, and gives you the four lines that matter: blocked, waiting, silent, moving. Then she collapses into a status strip until something changes.
A spatial phase pipeline — configurable per team. The default lanes (Intake → Spec → Build → Review → Deploy → Verify → Live) fit engineering, marketing, and operations work alike. Every project is a token. Bright means moving. Azure glow means needs your decision. Red and sinking means blocked. Desaturated means it went quiet.
New agent provisioning. Secret sharing. Phase sign-off. Anything with a real-world consequence flows through the Approvals Inbox. Keyboard-first by default. jk to navigate. e to approve. r to reject. The agent waits for you, not the other way around.
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Every project gets a weekly alignment score. RED AMBER GREEN. Automated. Objective. No manual entry, no operator wishful thinking. The score runs in the background and lands in the briefing when something turns.
Six tools. One keyboard. Zero context-switching.
OpenAI-powered TTS. Iris briefs you like a field commander. Plays in 60 seconds, collapses to a status bar after you’ve heard it. Regenerates when the picture materially changes.
Seven-lane phase pipeline · configurable per team. Updates as the record changes. Hover a token for the last three agent actions.
Human-in-the-loop for every consequential action. Keyboard-first. Per-capability policy: off · draft · auto. Full audit trail.
RED / AMBER / GREEN every week. Composite of phase velocity, agent activity, customer signals. Runs whether you check it or not.
Roster of every agent — model, capabilities, current session, last action. Provision new agents through the wizard with the operator gate already wired.
Fleet-wide command from anywhere. Route a spoken command to approvals, fleet, or a specific project.
Not a wishlist. Every line below is shipping right now against live project rows in a production fleet.
AlevatedOS is runtime-agnostic. Operate Hermes agents (Claude-native, SDK-built) and OpenClaw agents (your custom-framework fleet) from the same surface. Same Bridge board. Same approval gates. Same trajectory scoring. No other operator layer does this.
Hermes · Claude-native OpenClaw · custom fleet Bring-your-own · roadmap60-second audio brief, regenerated when the picture changes, playable from anywhere.
Spatial pipeline · configurable per team. Default: Intake → Spec → Build → Review → Deploy → Verify → Live.
jk navigate · e approve · r reject. Agents poll on a 60-second heartbeat.
Weekly run · phase velocity + agent activity + customer signal.
Spin up a new agent with model, capabilities, and policy gates in one flow.
Every action is off · draft · auto. Operator-tunable, never hard-coded.
The registry records where a secret lives — never the secret. No route accepts one.
Auto-flags a fleet member that hasn't transmitted in N hours. Surfaces in the briefing.
Who approved what, when, why. Replayable. Exportable for compliance.
One palette routes spoken commands to approvals, fleet, or a specific project.
Token spend metered on the same roster as status — so a runaway agent shows up before the invoice does.
Dispatch → checkout → check-in, each item carrying its own event timeline and artifacts.
Early access · hand-run onboarding · 30-minute working session, not a sales call.
Projects and heartbeats read from the production database on 2026-08-24, 21:05 UTC — a live count, not a lifetime total. The poll interval and the tier lattice are fixed properties of the software, not measurements. Live numbers move; we re-query them before we publish them, and we date-stamp what we quote.
AlevatedOS is rolling out to a small group of teams already running live AI fleets — engineering, marketing, operations, anyone with more than one agent in production. Drop your work email and we'll set up a 30-minute working session — walk your morning, see if the fit is real.