What a polished agent demo does not tell you
A demonstration shows one possible path. A buying decision needs evidence about representative work, failure, authority, recovery and operation.
Tests, observations and decision records that show how an agent behaves under relevant conditions.
A demonstration shows one possible path. A buying decision needs evidence about representative work, failure, authority, recovery and operation.
A durable agent benchmark needs a declared construct, protected cases, reproducible execution, uncertainty, governance and limits on the claims its scores can support.
Start with the choice an owner must make, then derive claims, evidence, cases and measures. The result is smaller, sharper and easier to defend.
An evidence register should connect each claim and requirement to versioned artefacts, review decisions, known gaps and the conditions under which evidence expires.
Audit committees can oversee AI through ownership, control evidence, reporting integrity and assurance scope without turning meetings into model-architecture tutorials.
A principle becomes operational only when it is translated into requirements, control owners, enforcement points, evidence and responses to failure.
Model selection matters, but production behaviour emerges from an entire dependency graph. Review the system that turns model output into business effects.
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Read the method, assumptions and questions to ask.