Linear Loops is important because the agent appears not as a separate chatbot, but as part of the product operating system. A loop can run on a schedule or event, work with workspace context, and return to repeated tasks.
This is closer to an agent workflow than an AI assistant. A loop has context, a trigger, run history, integrations, and an expectation of repeatable output.
What changed
Product teams gain new operating units:
- recurring investigation;
- automatic triage;
- task follow-up;
- links between Linear, codebases, and MCP;
- loops that live longer than one chat turn.
New Runtime Read
When an agent gets a schedule and memory of previous runs, it becomes a small work process. This is no longer “ask AI”. It is “put AI on duty”.