Using Linear as a shared state layer for specialist AI agents
ChenBuilds · reddit · 2026-09-04
A developer shares a multi-agent workflow built on Linear + ChatGPT: talk through direction first, ChatGPT converts it into Issues on the right Project, then specialist agents (Mason for dev, Harper for growth/ops) pick up tasks via scheduled routines. Linear serves as the shared execution and state layer—Projects are goals/assets, workstreams are functions, agents are schedulable roles. Human judgment stays upstream; the same system now runs both product work and personal social posting. The author asks how others structure work claiming vs manual assignment.
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