From the source
Manus co-founder Tao Zhang reports what changed inside the company after engineering, product and marketing teams began working alongside agents by default.
- The post is a report of an experiment in progress, not a definition of an "AI-native organization," and it includes what has not worked.
- Manus says adding AI to old ways of working sometimes added noise, and that things changed only when the loop closed.
- The company built an internal tool called Manus-mono, or Mono, a single entry point plus a manual written for the agent that describes what each repository does and how they fit together.
- Mono does not merge repositories; it also keeps a library of architecture decision records so every agent session starts with the reasoning behind past decisions.
- A push to the test environment used to take 5 to 10 minutes, and now the full Manus stack runs on a laptop with checks taking seconds.
- Mono can read logs, configuration and error reports in production with scoped permissions, and it runs real user flows with test accounts in a browser and a mobile simulator, while people still make approval decisions.
- Manus says one engineer commonly has 10 to 20 requests moving at once, and its seven-person mobile team maintains four apps across two products while keeping pace with web.
