Mira
pulls the numbers before standup.
Stripe, HubSpot, and GA4 are already compared when Avery opens the channel.
Meet the Operators who know your work, then carry it forward.
KarelOS is a friendlier AI operating system for the work that keeps coming back: briefs, inboxes, reports, app previews, approvals, and the tiny rituals that make a team feel sane.
Mira@karelos
Ask Mira anything
Prep the analytics review for 2pm.
Miko
drafts the reply you would have written.
The tone is familiar, the sources are attached, and the final send waits for you.
Quinn
keeps the little launch from wobbling.
Owners, acceptance checks, and the preview link sit in one tidy trail.
Everyone gets someone
A cast your team can actually talk to.
Operators are easier to remember than dashboards. Mira handles the numbers. Miko watches the inbox. Rook builds the little app. Vera asks before the edge.
Mira
Insights Operator
Pulls the weekly numbers, spots what moved, and leaves the evidence where your team can check it.
Quinn
Shipping Operator
Turns a rough ask into owned steps, preview notes, and a launch packet that does not need decoding.
Dex
Support Operator
Finds the logs, explains the fix, and waits before touching anything that should stay human-approved.
Vera
Trust Operator
Builds the approval packet before a send, publish, spend, or permission change crosses the line.
Miko
Mail Operator
Reads the thread, drafts the reply in your style, and keeps consequential messages in review.
Rook
Builder Operator
Builds small internal apps from real needs, then hands you a preview with the checks attached.
How it feels in a day
Less command center. More helpful coworking.
You ask like a person. KarelOS finds the right Operator, gives them the allowed tools, and brings the work back with enough context for you to trust it.
01
Ask naturally
Drop a request in the dashboard, Slack, Teams, mobile, or chat.
02
KarelOS routes it
Persona, memory, and tool scope pick the right Operator.
03
The work gets done
Operators can run workflows, delegate substeps, or build an App Space.
04
You approve the edge
Important sends, spends, and publishes wait for your yes.
Today in KarelOS
Mira drafts Avery's morning briefing.
Prep the analytics review for 2pm.
Quinn gets Nina's app preview ready.
Package the intake app for review.
Dex untangles Marco's tool issue.
Find out why the sync failed.
Vera checks Elle's outbound approval.
Review this before it goes out.
morning-loop --with-approval
[mira] summary posted with source links
[miko] draft ready, waiting before send
[quinn] app preview packaged for review
[vera] approval packet built, no surprise actions
[done] your team starts from the same page
Friendly does not mean loose
The important moments still stop for you.
KarelOS can do the work without pretending every action is low stakes. Vera and the approval layer make the boundary visible before anything sensitive leaves the room.
Costs stay visible
AI runs, subagents, scheduled work, and app builds can be attributed.
Work stays traceable
WorkGraph shows plans, tools, workflow steps, and outcomes.
- Vera checks the moments that need a human decision.
- WorkGraph shows what happened across plans, tools, and outcomes.
- Budgets and usage history keep cost from becoming a surprise.
- Tool permissions stay tied to the Operator and the workspace.
- Mobile and channel approvals make review easy away from the desk.
- Sandboxed builds stay separate from customer-facing App Spaces.