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Join WaitlistAssign work to a person or an AI teammate. They execute — on your own machine or hosted by us — and come back with a receipt: what ran, on which model, what it cost, and your sign-off as the last step. A familiar project board, not another agent framework.
Assigning a task to an AI is table stakes now — every major PM tool has the dropdown. What none of them show you: what actually ran, on whose machine, with which model, at what cost — and who approved the result.
Agent work stays scattered across terminals and chat logs while the board says “done.”
Maestro is built around the missing half: execution you can see, and a review gate a human has to close.
When an agent finishes, its work lands in "Needs your decision" — it can't mark itself complete. Your approval is the only way to done.
Engine, model, tokens, cost — every run carries its receipt. You always know what your AI team did, and what it cost, per task.
Describe how something should work; Maestro shapes it into a living spec and derives the plan from it. When the Score changes, Maestro flags the work that no longer matches. Documentation isn't the last step. It's the first.
Manual, assisted, or autonomous with a daily cap — you decide who may start runs. Whatever you pick, every finished run still waits for your approval.
Create a task.
Route it to a human or an AI expert.
Execute it on connected real devices.
Review results, retry when needed, and approve with human checkpoints.
Build Flow
Dependencies resolve automatically. Agents pick up unblocked work — and every finished run waits for your approval before it's done.
Built for mixed teams: the technical founders and leads bring the agents; everyone else works the same board they already know.
For
Not for
Because the workflow stays split:
Maestro was built for both from day one — with real-device execution, validation checkpoints, and retry logic that no PM tool can bolt on after the fact.
No. Maestro is a project management app where agents are team members. It assigns, tracks, and validates work — it does not replace the agents themselves.
Maestro is project management for teams that include agents. If your team only has humans, Linear is great. If your team includes AI agents, Maestro is where both kinds of work live together.
No. Maestro works on its own. Console is a separate Tedigo tool for remote terminal access — useful alongside Maestro, never required.
Those are frameworks — you write code to orchestrate agents. Maestro is a project management app: you assign a task to an agent the way you would assign it to a person, and review the result on the same board. No orchestration code to build or maintain.
If you are using Claude Code-based execution, yes. Maestro orchestrates the workflow around customer-controlled execution environments.
No. Human checkpoints are part of the value, not a compromise.
Built for mixed teams: the technical founders and leads bring the agents; everyone else works the same board they already know. Whether the work runs on Claude Code, Codex, or an API model, it is all assigned, tracked, and reviewed in one place.
If you can describe it, Maestro can build it (or manage it).
Start with the Score, or just assign a task.
