A reasoning strategy is not a topology and not a prompt — it is the shape of thought itself, and it can be engineered. This series walks through the IRG strategy inventory a few strategies at a time, starting with the epistemic family: abduction, deduction, and induction as executable, gated graph shapes.
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Accuracy benchmarks ask whether the system was right. That is the wrong question for production. The right question is whether the system behaved well given what it actually knew—and that is what epistemic integrity measures.
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Apply different prompt sets to the same reasoning graph and you get different convergence paths, different abstention rates, and different epistemic integrity scores. Prompt engineering isn’t cosmetic—it’s the configuration of an AI system’s epistemic personality.
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