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 you receive
The shape of your delivered file. Your result is generated for your inputs.
Your deliverable is a computed result carrying these fields:
- Algorithmic Complexity
- Autonomy
- Composite
- Data Feasibility
- Infra Complexity
- Risk Of Error
Opens soon
STUD opens runs for everyone soon, on every play at once.
Scope of the check
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.
Get early access to STUD the day it goes live.