efficient-orchestration

Always-on token-efficiency operating model — for every task, minimize output tokens and decide inline vs. delegate to cheaper subagents, then monitor spend and checkpoint when work reclassifies. Output thrift (every turn): - No narration or preamble — lead with the result - Terse by default; read only what the task requires - Cap the tool-call loop; never re-derive what's already done Delegation tiers: - Light (Haiku-class) — reading, grepping, listing, mechanical work - Mid (Sonnet-class) — bounded judgment and implementation - Top (Opus-class) — synthesis, cross-cutting review, high-stakes decisions The large model holds strategy and verification; mechanical work fans out to the smallest capable model. Never spend a bigger model than the job needs.