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Boundary-case test set for a contested term

You get a boundary-case test set for one contested term: a set of edge cases, an in-or-out verdict for every case under every rival definition you supplied, at least one case that the rival definitions actually split on, and a named residue of cases your own preferred definition leaves undecided.

You receive: A JSON boundary-case record: the contested term, a numbered case set (each case with a short phenomenon description and the feature statements it contests), a complete verdict matrix using exactly the three allowed verdict values "in", "out", and "unsettled", a four-criterion assessment (operational, essential, widelyApplicable, succinct) for each supplied definition using exactly the three allowed values "meets", "fails", and "unclear", and a residue list of the case ids your preferred definition marks "unsettled".

Part of Win Market

Example

A sample of what this play produces. Your result is generated for your inputs.

Term
AI agent

Cases

Case Id
C01
Phenomenon
A coding agent given 'fix issue 212' that plans, edits files, runs the tests, and opens a pull request unattended
Is Control
true
Case Id
C02
Phenomenon
A thermostat that senses room temperature and switches the furnace to hold a setpoint
Is Control
false
Contests
  • A
  • C
Case Id
C03
Phenomenon
A single-turn chat completion that answers one blank-prompt question and stops
Is Control
false
Contests
  • A
  • B
Case Id
C04
Phenomenon
An RPA script that follows a fixed click-path to copy invoice fields between two systems every night
Is Control
false
Contests
  • A
Case Id
C05
Phenomenon
An LLM with tool calling where a human reviews and approves every individual step before it executes
Is Control
false
Contests
  • A
  • D
Case Id
C06
Phenomenon
A recommendation engine that continuously reranks a product feed from click signals
Is Control
false
Contests
  • C
Case Id
C07
Phenomenon
A cron-scheduled ETL pipeline that moves data on a timer with no goal representation
Is Control
false
Contests
  • A
  • C
Case Id
C08
Phenomenon
A STUD play run: a short intake fills from workspace facts, an AI runs multi-step work, and the deliverable passes the play's acceptance check before it lands
Is Control
false
Contests
  • D
Case Id
C09
Phenomenon
An open-ended multi-model swarm that explores and generates without any stated objective
Is Control
false
Contests
  • C
Case Id
C10
Phenomenon
A self-driving route planner that takes a destination, plans, and executes the drive end to end
Is Control
false
Contests
  • B
Case Id
C11
Phenomenon
A human analyst steering a general-purpose chat assistant turn by turn to draft a memo
Is Control
false
Contests
  • D
Case Id
C12
Phenomenon
A deep-research run that plans its own queries, browses sources, and compiles a cited report against a stated question
Is Control
false
Contests
  • B

Verdicts

Case IdDefinition IdVerdict
C01D1in
C01D2in
C01D3in
C01D4in
C02D1in
C02D2out
C02D3out
C02D4out
C03D1out
C03D2out
C03D3out
C03D4out
C04D1in
C04D2in
C04D3out
C04D4out
C05D1in
C05D2unsettled
C05D3out
C05D4unsettled
C06D1in
C06D2out
C06D3out
C06D4out
C07D1in
C07D2out
C07D3out
C07D4out
C08D1in
C08D2in
C08D3in
C08D4in
C09D1in
C09D2in
C09D3unsettled
C09D4unsettled
C10D1in
C10D2in
C10D3out
C10D4in
C11D1out
C11D2out
C11D3out
C11D4out
C12D1in
C12D2in
C12D3in
C12D4in

Definition Assessments

Definition IdOperationalEssentialWidely ApplicableSuccinct
D1meetsfailsmeetsmeets
D2unclearmeetsmeetsfails
D3meetsfailsfailsmeets
D4meetsmeetsunclearfails

Residue Case Ids

  • C05
  • C09

Opens soon

Cost50 credits
ProtectionSpent when the run starts · returned only if STUD is at fault

STUD opens runs for everyone soon, on every play at once.

Scope of the check

What's verified: STUD verifies the STRUCTURE of the boundary-case set only. It checks that the record is about the term you named; that you supplied at least your minimum number of rival definitions and that each one carries a source attribution; that you supplied at least your minimum number of cases with no case repeated; that every case is judged under every supplied definition, exactly once, with nothing left blank; that every verdict is one of exactly these three literal strings: "in", "out", "unsettled" (nothing else passes, including "yes", "no", "maybe", "+", "-", "?"); that at least your minimum number of cases are ones the rival definitions actually split on; that exactly one case is flagged as a control and that all definitions agree on it; that every other case names at least one of your supplied feature statements it contests; that every supplied definition is scored against exactly the four criteria operational, essential, widelyApplicable, and succinct, each using one of exactly these three literal strings: "meets", "fails", "unclear"; and that the residue list is exactly the set of cases your preferred definition marks "unsettled", no omissions and no extras. STUD does NOT verify that a case is well chosen, interesting, or representative of the real edges of your term. STUD does NOT verify that a verdict is CORRECT: whether a given definition truly puts a given case in or out is a reading of that definition, and readings are contested (in the source paper 52% of surveyed professionals contradicted their own stated criteria when judging cases). STUD does NOT check succinctness by word count, because the source names succinctness as a criterion but sets no numeric threshold. STUD does NOT require that every feature statement you supply be contested by some case: the source's own 20-case set left one of its 13 statements (D, on observability) untested by any example, so full coverage is not treated as a law here. STUD does NOT judge whether your preferred definition is better than its rivals. The field or discipline you name is collected as context for the operator and is not itself checked.

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