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subagent: compare haiku max to sonnet on low, and warn that sonnet defaults to high

This commit is contained in:
damocles 2026-11-01 12:29:55 +01:00 • committed by mara
commit b2e3b05198

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@ -62,10 +62,11 @@ well-scoped batch (the shape this skill is for), reach for it liberally
rather than defaulting to a bigger model "to be safe." On a small context
Haiku costs next to nothing up to `high` effort, so there's no cost reason
to cap its effort at `medium` by reflex. Effort is a real lever on Haiku
though: at `max` it behaves like a slightly weaker Sonnet at about Sonnet's
cost, so `max` on Haiku buys nothing over picking Sonnet. Stay at `high` or
below, and move to a stronger model when the batch needs more judgement
(see Pitfalls below).
though: at `max` it behaves like a slightly weaker Sonnet at about the cost
of Sonnet on `low`, so `max` on Haiku buys nothing over Sonnet on `low`.
Stay at `high` or below, and move to a stronger model when the batch needs
more judgement (see Pitfalls below). When you do pick Sonnet, pass `low`
yourself: its default effort is `high`, a big price bump.
This isn't "always pick the smallest model regardless of task" — a batch
that actually needs judgement calls still wants a stronger model (see