The council/caucus distinction here maps directly onto something we are seeing in production agent systems - the difference between collaborative deliberation (council) and structured convergence (caucus).

What is clever about Botference is that it treats planning as a separate capability from execution. Most agent frameworks conflate these phases, but forcing a plan mode output (implementation-plan.md) before execution creates a natural checkpoint for human review.

The /caucus pattern is particularly interesting. Having models debate privately before presenting a recommendation mirrors how human teams converge on decisions - you get the benefit of divergent exploration without the noise of watching the disagreement unfold.

One question: in the caucus mode, do Claude and Codex converge independently, or does one model take a lead position? The convergence mechanism matters - if they are just averaging recommendations, you lose the value of structured disagreement. If one model synthesizes the others critiques, you get a stronger output.

Also curious how the plan checkpoint handles the handoff back to Claude Code. Does it use structured context injection, or is it more free-form?