Library / Problem Structuring and Decision Support Principles Framework
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An authorized team asks a separate recommending arrangement whether to modify a model, change a scaffold/tool configuration or alter human–AI Work allocation. Identify the object to be changed, its version, the intended environment, evaluation validity, oversight, protected conditions and receiving use. Model tuning, tool access and human–AI allocation are not interchangeable interventions.

Suppose a supplied evaluation supports scaffold A only in a bounded offline environment, while a proposed direction uses B with different tools. State that B’s evaluation and safety premises remain unqualified; A’s score does not transfer. A separately adequate organization-allocation comparison remains usable within its assumptions. Request B’s result only if its obtainable contribution warrants acquisition for this receiving use.

If an applicable safety result excludes one configuration, exclude that configuration for the stated use. If evidence is merely missing, say so. A human course study supplies neither AI adaptation nor deployment safety. A recommender-system ranking can enter only as its separately qualified input; it is not the whole advice Method or deployment authority. Professional duties to human clients still apply where that service relationship actually exists.