# One human entry point, an evolving execution system

In June 2026, I independently designed and tried a layered workflow for my Mac-to-Ubuntu work: discuss goals with the local m-hermes, let it prepare the task, then have it coordinate a remote team through that team's Kanban process. My June 2 conversations already distinguished the entry agent from the remote coordinator and asked agents to handle handoffs, reducing manual context copying and dispatch. OpenAI introduced Dots on September 29 that year. Its documentation describes taking on goals, coordinating background agents, delegating Work or Codex tasks, and returning results. Those collaboration choices echo my earlier judgment. I want models, tools, and execution teams to evolve while people retain a clear entry point, their intent, and decision authority. Task boundaries, acceptance criteria, and execution evidence make this collaboration accountable.

[Website source](https://zzzxc.com/#chapter-2)

[Contents](https://zzzxc.com/agent/en/index.md)
