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Round-2 fractals eval regressed to 70min/32.2M tokens (vs round-1's 42.8min/14.5M) while reaching baseline-parity quality. Per-subagent turn profiling attributed it to: haiku dispatches taking 2-3x the turns of sonnet (678 of 1197 subagent turns), reviewers re-fetching diffs by hand (518 Bash calls), and evidence-rule narration. Changes: turn-count-beats- token-price model guidance; controllers paste small diffs into reviewer prompts (reviewers then need few or no tool calls); evidence scoped to findings and would-be-bare-yes checks; Important defined as cannot-trust- until-fixed with coverage suggestions Minor; fixes dispatched only for Critical/Important.