The PM who ships.
Every single day.
A senior product manager runs product improvement end to end on AgentOS: customer requests go in as plain-language goals; planned, built, tested, reviewed features come out — with engineers approving every release. This is the use case behind Interactor Build, our own product-development agent.
We run it on our own product: request to released feature in ~4 hours, median.
Powered by Interactor AgentOS · Built with Interactor Build
Specs in, disappointment out.
The PM writes the spec, files the tickets, and waits for the sprint. Something gets lost in translation, engineering time is scarce, and by the time the feature ships the customer who asked for it has moved on. A product manager's judgment is the most leveraged asset in the company — and most of it is spent on coordination instead of product.
What the agents do.
Goals in, features out
The PM states what customers need in plain language. No tickets, no specs, no code.
Plans against reality
Agents investigate the current codebase and everything already planned, so new work never conflicts with or duplicates what's in flight.
Builds, tests, reviews
A fleet of agents writes the feature, builds a full test suite, and reviews the work before any human sees it.
Engineers hold the gate
Every release requires an engineer's approval. The PM ships daily; the team keeps final say.
The whole product stays consistent
Docs, help pages, and tutorials touched by a change are updated in the same release.
How it runs.
THE PM LOOP
State the goal — Customers keep abandoning checkout — let them pay without creating an account.
Agents investigate — current code plus planned work, returned as a reviewable plan.
Agents build, test, review — with the right model on each phase: deep-reasoning models for planning, fast models for execution.
An engineer approves — the change arrives finished, tested, and reviewed.
Released — everywhere it matters, docs included.
Built on AgentOS.
Orchestration
Software, not tokens, coordinates the agent fleet: retries, restarts, and model selection per phase.
Knowledge that persists
The product's state, plans, and conventions live in a knowledge base agents share — nothing is re-explained.
Tools on demand
Repos, CI, test runners, and docs are tools agents discover and call through APIs.
Governance
Approval gates, stateful runs that survive crashes, and a full audit trail of what changed and why.
We build Build with Build: from request to released feature in ~4 hours, median, on our own product. Read the full story on the Interactor Build page.
Interactor Build →Your roadmap could be shipping itself.
One goal, stated in plain language, is enough to start.