Agents

Reusable execution roles your whole team can understand.

An M1 agent is proposed as a saved configuration around the AI development tool you already use—not a new model and not an autonomous employee.

01

Configure behavior, boundaries, and reporting

Set stable operating instructions, reusable skills, permitted repositories, plain and secret environment inputs, runtime arguments, timeout, concurrency, and working-directory mode.

  • ↗Task-specific requirements remain on the task
  • ↗Shared procedures live in versionable skills
  • ↗Model choice remains a runtime concern

02

Connect roles into a coordinated crew

For larger work, a lead agent can interpret the request and involve specialized agent roles. People remain participants and reviewers; each sub-result returns to one parent task.

03

Earn trust through visible runs

Teams should be able to inspect what was requested, which configuration ran, where it ran, what changed, what checks passed, and what remains uncertain before accepting the result.

Pre-release · No instant signup or payment

See whether M1 Project fits your team’s operating model.

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