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Physix Frontier · News Briefing Card (enbrief · Nov 1, 2026)

Developer builds multi-agent workflow: gateway picks models, rules assign tasks

KEY FACTS

  • The author runs four AI tools simultaneously on macOS: Cursor, Codex, DSH, and Claude Code.
  • The author splits local access into two port services: an 8081 decision gateway and an 8082 model aggregation exit.
  • The 8081 gateway uses a local lightweight decision model, JEV, for semantic routing, falling back to rules when confidence is low.
  • The author wrote private dispatch rules for the master orchestration bot feibot, handing tasks to specialist bots by domain and reporting back terminal states.
  • The author says the dispatch rules and handoff scheme are in place, but end-to-end automation is still taking shape.

KEY DATA

2 (8081/8082)Local port services
4AI tools in regular use
4Terminal-state report elements

PHYSIX OBSERVATION

The value of this practice lies not in the tools themselves, but in splitting "model selection" and "task dispatch" into two layers: the gateway handles single calls, while rules handle responsibility and acceptance. The signal is that the bottleneck for multi-agent deployment has shifted from model capability to whether task state and authorization can flow with the task; without real task records and failure-rate data, the automation is still only a design blueprint.

Source: enbrief original report ↗