The team layer of the agent stack
When everyone has agents, the team is the edge.
Your agents already multiply what one person can ship. Ropeteam multiplies what a team can do together — following the AI-assisted work as it happens, and replacing the standup with three minutes of voice.
Morning check-in
3 min · by voice
Team effort
this week · team
2 need help
reach out privately
44 checked in
before 10am
Overview
this week
Checked in
44
Need help
2
On the rope
52
Every token, priced and charted.
Cost and tokens by model across today, week, quarter, or all-time — cache writes and reads priced correctly, duplicate requests collapsed, so the totals are honest enough to bring to a board meeting.
Live narration & the detailed feed
The app narrating a session as it happens, and the same session written up afterwards.
Working through the onboarding path end to end — the invite screen, the one-time code, and the first sync — then rebuilding to confirm a clean install lands on a real session summary.
Wired the invite screen to the enrolment endpoint, unified the two email templates on one set of brand tokens, then rebuilt and walked a clean install through to its first synced session.
Your usage at a glance.
Human input in, AI output out — parsed locally from ~/.claude/projects, deduplicated, priced, updated every 30 seconds. Figures below are illustrative.
Effort over time · all-time, monthly
Tokens by model
Top projects by tokens
What just happened
The work reports itself.
A small desktop companion reads what Claude Code already writes to your machine — locally, every 30 seconds. No instrumentation, no forms, no one summarising their own week from memory.
Every token, priced and charted
Cost and tokens by model across today, week, quarter, or all-time — cache writes and reads priced correctly, duplicate requests collapsed, so the totals are honest enough to bring to a board meeting.
Work, reconstructed as a narrative
Sessions cluster into projects and sittings, split automatically by real breaks. Open one and it becomes a timeline — an account grounded in the files touched and the commands run, not a status update someone performed.
The telemetry shows what — you add why
Log what you are doing, what is blocking you, and what worked — right from the chat box in the Activity window. Blockers are the signal a lead acts on fastest; wins become routes others can follow.
Lives in the menu bar, out of the way
Today's spend rides in the tray title. It starts at login, keeps tracking when every window is closed, and never phones home.
The rope is what makes a team visible to itself.
On an alpine rope team the strong climber sets anchors the rest can follow, a slip is felt down the line instantly, and nobody falls through a crack unnoticed. The rope doesn't make anyone a lesser climber. It's what lets a small party attempt a face that none of them could take alone. This app is one climber's harness. When a team runs it together, the metrics serve the relationships — never the other way round.
The whole team, on one rope.
Check in by voice
Three minutes each morning with an AI companion. What you did, what's in the way, what you need. That's the standup — done.
Blockers surface early
High effort with no closure turns a bar coral: someone is stuck. Leads find out in hours, not at the retro.
Team effort, visible
Where your team's AI effort actually goes — per person, project, and model. Cost is there too, if you turn it on.
Three minutes of voice.
Zero meetings.
Your companion already knows yesterday's sessions, so it asks the only three things it can't infer: what you did, what's in the way, what you need. The summary becomes your status. The blocker goes straight to your lead, privately, the day it happens — while it's still cheap to fix.
Check-in · Tue 08:42
02:47
Morning, Ava. Yesterday you closed the rate-limit fix and started on the session cache. What's the plan today?
"Finishing the cache refactor — but staging deploys keep failing…"
Got it — flagging the staging deploys for Sam. Logged: cache refactor in progress, one blocker.
Instead of
A thirty-minute standup on twelve calendars, where nine people listen to three.
You get
A picture that stays current on its own, and a lead who hears about the slip in hours rather than at the retro.
Leverage got cheap. Coherence didn't.
One engineer with agents now ships what a squad used to. That part is solved, and it keeps getting more solved every quarter.
What no agent hands you is the picture: who has been circling the same problem since Tuesday, which project quietly absorbed half the spend, which route already worked so nobody has to find it twice. The scarce thing is no longer output. It's a team that knows what it is doing.
Got abundant
Code, drafts, analysis, throughput — anything one person can direct a model to produce.
Stayed scarce
Knowing where the work actually stands. Catching the slip early. Judgment about what to climb next.
Tie in once.
Stay tied in.
Setup takes minutes. After that, the picture keeps itself current.
Install the desktop app
A small companion that runs quietly in the menu bar and follows your AI-assisted work as it happens.
It builds your day
Sessions, progress, and cost roll up automatically — shared on your terms, never your secrets.
Check in each morning
Three minutes of voice with your AI companion. Doing, blocked, won. No meeting on anyone's calendar.
Your lead sees the rope
One dashboard: activity, blockers, wins, spend, reporting lines. The picture without the standups.
Scaffolding, never surveillance.
Ropeteam watches the work so people don't have to report it. That only holds if the rules are structural rather than a promise in a policy page — so they're enforced server-side, scoped by reporting lines, and there is no view anywhere in the product that ranks one person against another.
You see everything about your own work, and the same rolled-up summaries about the people you share a team with — what they're on, who's blocked. That is the point of a rope: the line runs sideways, not just up. Opening a full conversation is scoped tighter — your team and the people on the same project, and your org decides how far that reaches. Nobody sees another team's detail, and nothing here is built to feed a performance review.
Fair questions.
The honest answers — especially to the uncomfortable one.
An operating system for engineering teams that build with AI. A small desktop companion follows each person's AI-assisted work, a three-minute voice check-in replaces the standup, and leads get one live picture: activity, blockers, wins, and spend.
No — and the rules are structural, not policy. Anything that looks like a key, token or password is stripped before a session leaves your machine. What does sync — the conversation, code included — is stored encrypted in your org and readable only by your team and project co-members. Sessions you mark private don't sync at all, and marking one private later deletes the copy that did. You always see your own data. There are no rankings, no scores, and nothing here is built to feed a performance review.
You see everything about your own work, and rolled-up summaries about your teammates — what they're on, who's blocked — so you can help without asking. Titles and summaries carry that far; opening a full conversation is tighter — your team and the people on the same project, with your org setting the exact reach. Only managers and admins can change anything. Nobody sees another team's detail, and scoping is enforced server-side rather than hidden in the interface.
Only if someone on a project invites them and they accept — and only for that one project. What a collaborator can read is the project's spec and decision log: the documents Ropeteam writes about what the project is and what has been decided. They do not get your conversations, your screenshots, your other projects, or any view of you as a person. The whole feature is off until an org admin turns it on, an invitation grants nothing until it is accepted, and anyone on the project can revoke it — which stops further access immediately, though it cannot un-read what has already been read. The project's code is a separate, tighter door: a collaborator never gets it, and even a teammate's machine only receives code after it proves it already holds the project or a founder approves it once. Their AI runs on their machine and their own subscription; nothing runs on yours.
On your machine, by default. Ropeteam keeps local save points — checkpoints — so you can always take a project back to when it worked, and those never leave your computer. If your team has no shared place for code (no GitHub), a project can turn on a shared code home: a private space on Ropeteam's servers where that one project's code syncs between its members, encrypted, capped in size, and deletable. Teams that already have GitHub simply keep using it — a code home beside GitHub is only a bridge for someone who can't reach it, never a replacement. One honest note: a code home shares the project's code, and a commit made during a private session is part of the code like any other — the private session itself (the conversation) is what never syncs.
It runs quietly in the menu bar and follows your AI-assisted work as it happens — sessions, progress, cost. It builds your day for you, so the morning check-in takes three minutes instead of a memory exercise.
Passwordless: work email in, 6-digit code back. The first sign-in creates your workspace; invites bring the team in. Nothing to remember, nothing to leak.