Mahal Systems

Overview › 3Prompts › c.Sizing reasoning effort

Sizing reasoning effort

Match reasoning effort to the task. 1 optimization.

  1. i.

    Self-Discover reasoning structures

    Self-Discover has the model compose a reasoning structure once per task type (select useful modules from 39 seed heuristics, adapt them to the task, write them as a step-by-step plan), then follow that cached structure on every instance, so each instance costs one call.

    Mixed qualityHigher costSlower

    Tier 3 · tuning · changes model, prompt · reasoning agents · 11 sources, 9 measured

See also

  1. 1.b.i

    Match the model and its effort to each call site and query class

    Pick the model per role or call site rather than one model everywhere, and set its reasoning effort and sampling parameters per site; tune each role's prompt to its model (GEPA raised every model tested at lower cost).

    Models › Finding specialists

    Better qualityLower cost

    Tier 3 · tuning · changes model, prompt · any agent · 19 sources, 6 measured

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