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Multi-agent Orchestration

Split what splits, and nothing else

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Split what splits, and nothing else

Multi-agent means several model instances with separate contexts working on one task, usually as a fan-out: split the work, run the pieces in parallel, verify, then merge.

It works when the pieces are genuinely independent — three competitors to research, three files to review, three claims to check. It fails when each step needs the full picture, because the workers cannot see each other's findings and go on to duplicate, contradict and amplify each other's mistakes.

So this is not a general upgrade, and it is the concept most often adopted for the wrong reason. Two rules earn their keep: verification happens in a fresh context, because a model grading its own work misses most of its own errors; and exactly one thing owns the merge.

Agents
SPLIT WHAT SPLITS, AND NOTHING ELSE plan worker 1 worker 2 worker 3 verify fresh context merge each worker sees only its own slice works when the pieces are independent — three competitors, three files, three claims to check separately loses when each step needs the last — the workers duplicate, contradict, and amplify each other's mistakes One owner of the merge. Verification in a separate context, because a model grading its own work in its own context misses most of its own errors.
A plan fanning out to parallel workers, verified in a separate context, then merged by one owner.