Smart agent to orchestrate cheaper agents for labour.

Dumber agents to be very explicit about asking smarter agents for requests that require deep information.

This is a thing - the SOTA models really light up the more information you can provide them, and humans are too lazy / incapable of doing that in every prompt.

Entirely depends on what you are trying to do.

Edit: you can also use a smart agent to ask another smart agent, obviously, which is good for personal workflows.

  * Orchestrator: Opus 5.5
  * Feature lead: GPT 6.1 Sol
  * Worker: Muse Spark 1.3 Contributor

GPT 6.1 Sol is surprisingly efficient too, I've been impressed with it.

My orchestration skill setup is https://github.com/beefsack/processed-beef/

At this point if I could do anything with zero effort or time, I would get Opus 5.5 to make a grand scheme, handoff to the local model, and give it ability to reach out to Opus again.