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Introduction

Mobius lets a company build useful AI work once, share it with the right people, and keep control of the accounts and records behind it.

Mobius turns useful AI work that one person sets up into a capability the right people across a company can use.

A common pattern is that each colleague starts over. Prompts get copied, services get connected again, and the useful version remains with the person who made it. Mobius gives the company a maintained setup that can outlast one person's account or choice of AI provider.

Build once, use it in separate work

Suppose Maya, the operations lead at Northwind, finds a reliable way to turn the day's service notes into a brief. She saves those instructions in an assistant named Scout. The app and API call this resource an agent, so you will still see labels such as Agents, New agent, and agent_id.

Maya can let selected colleagues use Scout. Each person starts their own conversation, with the same saved instructions and a separate private history. Nobody has to copy Maya's prompt or read her chat. Once the result and account access have been checked, Northwind can create a routine that runs Scout every weekday and posts the reviewed brief to #operations. The morning brief to Slack guide shows the checks before the schedule stays active.

Sharing Scout does not give every colleague the same authority. Its audience controls who can find and use it. Other permissions control who can inspect or edit its setup, connected-account grants control what it can reach, and each connection limits who may receive its results. Who can use an assistant explains those boundaries.

The path from an idea to company work

A useful setup usually grows in this order:

  1. Connect the account that holds the source or destination, such as Google Drive or Slack.
  2. Grant one assistant the access it needs to that named account.
  3. Save the instructions, model, tools, and skills that make the work dependable.
  4. Let the intended colleagues use the assistant, or deliver a checked result to them through a routine.
  5. Inspect what happened and improve the saved setup for later work.

You can begin with supplied facts and no connection. That keeps the first result easy to check. Add a live source only after the assistant handles the known example correctly. How Mobius works follows this flow into the underlying objects.

Control stays explicit

Mobius keeps the assistant's setup, conversations, routine runs, account use, and visible tool activity in records you can inspect. Those records show what Mobius asked for and what its tools reported. For an important change in another service, check the result there too.

An account connection is not a general pool of credentials. You choose which assistant may use it, which identity acts through it, and who may receive the result inside Mobius. Every external action revalidates its exact connection, live grant, account binding, and result audience before dispatch. Mobius does not add an automatic confirmation before an action that changes data.

Those checks govern which conversation or routine may use the account and keep its result. They do not provide separate controller consent for every external recipient named in an action. When a consequential delivery needs human judgment, put that review in the instructions so the assistant opens an interaction and waits. That is an instruction-based review, not an automatic platform gate.

The same separation protects private work. Sharing an assistant's saved behavior does not publish another person's conversation, private memory, or result. Your work and the team's work explains when to keep an experiment personal, share it, or hand maintained work to the business.

Change the model or the experience

The assistant's useful setup is larger than one model provider. You can change its model and test the same task again while keeping its instructions, tools, skills, and identity. An explicit model choice can also stay with one conversation when that comparison should remain isolated.

Mobius can be the interface your team uses, or your software can call the same configured assistants through the API. Supported hosted branding and a custom interface give you different levels of control over what employees or customers see. Use your own brand explains the choice.

Choose your starting point

The quickstart uses supplied operations notes so you can build, test, improve, and share one assistant before connecting another service.