Azonoz is an AI engineering manager. Describe what you want — an AI PM plans it into tasks and runs a fleet of autonomous agents that implement → review → QA → merge, with isolation, gates, spend caps, and escalation so it runs unsupervised.
No coding agent to babysit. The product built itself — 168 tasks shipped through its own board.
Tell the AI PM what you want. It asks the right questions and plans the tasks — then the same panel becomes a live board where a fleet of agents implements, reviews, QAs, and merges, unsupervised.
Azonoz · chat · planning session
PM online
Signup model + migrationLive simulation — same pipeline that built Azonoz, from one sentence to merged.
You stay at the altitude of intent. Azonoz handles decomposition, dispatch, and the full quality pipeline underneath.
Describe what you want in plain English. The AI Project Manager asks clarifying questions, just like a good lead.
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The Planner decomposes intent into atomic, dependency-aware tasks with acceptance criteria — straight onto your board.
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Each task gets an implementer in an isolated worktree, then a reviewer, then QA — gated, budgeted, escalated when stuck.
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Passing work auto-merges with conflict resolution. You review outcomes, not diffs — unless you want to.
Sprints, story points, and velocity exist because human labor is measured in hours. As work shifts to agents, the planning unit shifts from time to money. Everyone is racing to build better coding agents. Almost no one is building the layer that manages and prices a hundred of them.
Throughput is capped by headcount and hours. You scale by hiring.
A task estimate is its dollar run-cost. You scale throughput by spending more to run more agents in parallel.
Every feature on this page — the board, the diff viewer, migration-gating, circuit breakers, the spend caps — was shipped by Azonoz's own agents, through Azonoz's own board.
"It's not a slide. It's a git history."
Every agent run is metered. So the cost to build a feature isn't a story-point guess — it's a number. Here's what it cost Azonoz to build itself.
Azonoz · analytics · cost to build itself
Metered live
No headcount. No sprint poker. You scale throughput by spending more to run more agents in parallel — and you can see exactly where every dollar went. Illustrative figures, drawn from this project's own run economics.
A live slice of the board's own git history. Every card below was planned, implemented, reviewed, QA'd, and merged autonomously.
Cursor, Devin, and Factory race on making one agent code better. Azonoz is the orchestration and economics layer that lets you run a fleet of them safely — which is what actually unlocks unsupervised work.
Every agent works in its own git worktree. Parallel tasks that touch the same paths are serialized automatically — no clobbering.
Nothing merges without passing an independent reviewer and a fresh-eyes QA agent that never saw the implementation.
Per-role, per-task dollar budgets. A sprint is a budget; cost is a first-class planning unit, not an afterthought.
Passing work lands on its own, with automatic conflict resolution — or holds for your approval. Your call, per board.
When an agent gets stuck or burns its budget, it stops and escalates to a human instead of thrashing. Circuit breakers everywhere.
Conversational planning, live status, diffs, and full run logs. It feels like Jira — because that's the interface teams already trust.
Coding agents are great at writing code. That's not what this compares — this is everything that has to happen around the code for it to ship unsupervised.
| Capability | ◆ Azonoz | A single coding agent |
|---|---|---|
| Plans the backlog from a sentence | ✓ | ✗ |
| Runs many tasks in parallel | ✓ | ✗ |
| Independent review + fresh-eyes QA gate | ✓ | ✗ |
| Isolated worktrees, auto-serialized on conflicts | ✓ | ✗ |
| Every task priced in dollars | ✓ | ✗ |
| Escalates when stuck instead of thrashing | ✓ | ✗ |
| Runs unsupervised, end to end | ✓ | ✗ |
Azonoz orchestrates the agents you already trust — it's the management layer, not another coding model.
Azonoz built itself in a week. Point it at your project and watch the board move.