Loopable is the shared room for software studios and their clients. Clients see a roadmap in their own language and propose what they want. Your product owner approves it. Then developers — and AI agents — build it in the same tool and report back the moment it ships.
Stack traces, branch names, developer shorthand. So the client gets status meetings instead, and the occasional surprise.
Then they vanish into a backlog nobody outside the studio will ever see again.
More of the building is done by AI. Code ships faster than ever, and the distance between what the client asked for and what is actually happening grows with it.
A curated window for the client, a delivery structure for the builders, and a product owner keeping them in sync.
A roadmap of features and outcomes — never raw tickets. Comment, propose, and watch it move.
The gate. Decides what the client sees, approves what becomes work, and writes the progress they read.
Work structured the way delivery teams actually think. Loopable is the system of record — no external tracker to sync.
The Loopable MCP skill is installed on the coding agent itself. It authenticates, pulls its tasks, and the moment something is finished it reports completion — and the client’s roadmap updates in plain language. Delivery visibility with no status meeting in between.
> loopable.list_backlog(status: "todo") story Buy without an account epic Frictionless purchase > loopable.report_progress( item: "buy-without-an-account", status: "done", note: "Guest session + order claim" ) ✓ reported. client digest updated█
Feature, epic, story, task — one structure, one system of record. Developers and agents work it and report it in the same place, so nothing ships untracked and nothing tracked goes stale.
Every request, decision and completion feeds one structured history — so the virtual product owner answers with real knowledge of the product. Ask what shipped, what’s next, or why — any hour, without booking a meeting.
Studios structure their work; clients get a curated window into it. In production with the first studios.
Clients propose, product owners approve, approved requests become work. A voice, not just a view.
MCP lets AI coding agents log in, pick up tasks, and report what they finished. First-class teammates.
With that structured history, the AI is already doing the job: drafting requirements, writing digests, mining history into proposals — and a person approves every one.
The one between the people paying for software and the people — and machines — building it. As agents take over more of the building, that translation layer stops being a nice-to-have and becomes the product owner’s whole job. Loopable makes it a product.
A studio signs up once, then manages many clients — each with their own projects and their own people.
No two-way sync, no drift. The client view and the delivery view are the same data, rendered for two audiences.
The faster machines build, the more the loop matters. We designed for that instead of retrofitting it.
For client work, yes — that is the point. Loopable is the system of record, so there is nothing to sync and nothing to drift. If your team lives in Linear for internal product work, keep it; Loopable owns the projects you deliver for clients.
Through MCP, with their own scoped credentials. An agent authenticates as a member of the project, pulls the tasks assigned to it, and reports completion in the tool. Everything it does is attributed and auditable, exactly like a human developer.
No. The client view is curated by construction, not by permission toggles you might forget to set. Stories, tasks, stack traces and branch names never render on their side — they see features, outcomes and progress.
As many as you have. Loopable is multi-tenant from day one: one studio account contains many clients, each with their own projects, their own stakeholders, and no visibility into each other.
Tenant isolation is enforced at the data layer, not the UI. Client stakeholders are scoped to their own projects, agent tokens are scoped and revocable, and every request, approval and completion is recorded with who — or what — did it.
Single in-house product teams with no external client. If nobody outside your company needs to read the plan, you do not need a translation layer — you need a tracker, and you already have one.
We’re onboarding the first studios now. Tell us where to reach you.