Compute · Assess & Decide · Data & Research

AI Use-Case Technical Feasibility Scorer

A non-technical founder gets a defensible 1-4 score on each of the five technical-feasibility dimensions and an average, derived purely from yes/no characterizations of the use case, with no hand-waving.

You receive: A pure function techFeasibility(input) -> {autonomy:int 1-4, riskOfError:int 1-4, algorithmicComplexity:int 1-4, infraComplexity:int 1-4, dataFeasibility:int 1-4, composite:number} where input = {autonomyLevel:enum['act','decide','insight','structuredData'], reversible:bool, highImpact:bool, highEdgeCases:bool, highAdversity:bool, realTimeInference:bool, lowModelConsistency:bool, highDataAvailability:bool, needsSpecialistAnnotation:bool}.

Part of Choose Business Model

What's verified: STUD verifies that each of the five sub-scores is the correct 1-4 value from the fixed lookup tables and that the composite is the correct mean, on held-out inputs. STUD does NOT judge whether the yes/no characterizations are true of the real use case, nor whether the resulting feasibility means the project should proceed.