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Random Silent Scene Constraint Cards Generator

Combine supplied objectives, locations, and nonverbal constraints into timed scene cards with explicit forbidden spoken-word rules and chunked rounds.

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Description

Combine supplied objectives, locations, and nonverbal constraints into timed scene cards with explicit forbidden spoken-word rules and chunked rounds.

A structured creative brief combines a supplied bank of fictional material with explicit sequencing, timing, or compatibility rules. IDs and tags make those constraints inspectable; they do not assess the artistic meaning or quality of a scene.

Combine supplied objectives, locations, and nonverbal constraints into timed scene cards with explicit forbidden spoken-word rules and chunked rounds.

When to use this tool

Use this generator to create reproducible silent scene constraint cases from the supplied model or bank. Inspect the returned evidence before using cases in a test or exercise.

How to use the tool and how it works

  1. Supply objectives, locations, constraints, count, seconds, roundSize in the field shapes below. Set seed when you need an explicit replay.
  2. Run the tool and correct any input error. For generated controls, distinguish a successful fixture containing an invalid case from failure to generate the fixture.
  3. Read cards, rounds, totalSeconds. Use the conventions below and keep answer-bearing fields separate when presenting an exercise.

Draw an objective, location, and constraint for each silent-scene card. Assign consecutive fixed-duration time intervals, mark spoken words disallowed, and group card IDs by roundSize.1

Input fieldMeaning and unitsAccepted input
objectivesObjectivesRequired. Array of Text; minimum UTF-16 length 1; maximum UTF-16 length 1024.; minimum items 1; maximum items 16.
locationsLocationsRequired. Array of Text; minimum UTF-16 length 1; maximum UTF-16 length 1024.; minimum items 1; maximum items 16.
constraintsConstraintsRequired. Array of Text; minimum UTF-16 length 1; maximum UTF-16 length 1024.; minimum items 1; maximum items 16.
countRequested count; the mechanics explain whether one draw expands into several returned records.Required. Safe integer; minimum 1; maximum 32.
secondsSecondsRequired. Safe integer; minimum 1; maximum 9007199254740991.
roundSizeRound SizeRequired. Safe integer; minimum 1; maximum 32.
seedOptional numeric seed; takes precedence over context randomness. Without either, use the fixed tool.io default seed.Optional. Safe integer.
Output fieldInterpretationReturned shape
cardsCardsRequired. Array of Object; no unknown keys.; minimum items 1; maximum items 32.
cards[].idLiteral identifier used to match records, independently of their display labels.Required. Safe integer; minimum 1; maximum 32.
cards[].objectiveObjectiveRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 1024.
cards[].locationLocationRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 1024.
cards[].constraintConstraintRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 1024.
cards[].startSecondStart SecondRequired. Safe integer; minimum 0; maximum 9007199254740991.
cards[].endSecondEnd SecondRequired. Safe integer; minimum 1; maximum 9007199254740991.
cards[].spokenWordsAllowedSpoken Words AllowedRequired. Boolean; exactly false.
roundsRoundsRequired. Array of Array of Safe integer; minimum 1; maximum 32.; minimum items 1; maximum items 32.; minimum items 1; maximum items 32.
totalSecondsTotal SecondsRequired. Safe integer; minimum 1; maximum 9007199254740991.
randomnessReplay metadata: source is seed or context; seed is the normalized 32-bit seed or null for a context source.Required. Object; no unknown keys.
randomness.seedOptional numeric replay seed; normalization and precedence are explained below.Required. Safe integer. or Null.
randomness.sourceSourceRequired. Text; one of "context", "seed".

An explicit safe-integer seed takes precedence over injected context randomness and is normalized to an unsigned 32-bit integer. With no seed and no context source, replay uses the fixed tool.io default seed. A context source must return finite values from zero inclusive to one exclusive; its advancing state must be retained separately. randomness records the source and normalized seed, or null for context. These generators are not cryptographic random sources.

json
{
  "input": {
    "objectives": [
      "Deliver a letter"
    ],
    "locations": [
      "Dock"
    ],
    "constraints": [
      "Use eye contact"
    ],
    "count": 2,
    "seconds": 30,
    "roundSize": 2,
    "seed": 42
  },
  "output": {
    "cards": [
      {
        "id": 1,
        "objective": "Deliver a letter",
        "location": "Dock",
        "constraint": "Use eye contact",
        "startSecond": 0,
        "endSecond": 30,
        "spokenWordsAllowed": false
      },
      {
        "id": 2,
        "objective": "Deliver a letter",
        "location": "Dock",
        "constraint": "Use eye contact",
        "startSecond": 30,
        "endSecond": 60,
        "spokenWordsAllowed": false
      }
    ],
    "rounds": [
      [
        1,
        2
      ]
    ],
    "totalSeconds": 60,
    "randomness": {
      "seed": 42,
      "source": "seed"
    }
  }
}

Limitations and assumptions

  • The result is a fictional rehearsal brief with literal supplied constraints, not evaluated acting or physical guidance. Total duration must remain safely representable.
  • A replay requires the same complete input and implementation. Randomized construction does not guarantee uniform coverage of every feasible output; finite samples can repeat unless a distinct-selection rule is explicitly stated.
  • The field tables state structural bounds; cross-field constraints and bounded search or output budgets also apply. Unknown keys are rejected where the object contract disallows them. Input errors are distinct from null fields and deliberate invalid controls in a successful output.

Alternative or Complementary methods

For a supplied example, inspect the returned construction or delegated check directly. To evaluate a consumer, also test cases chosen for its own boundaries; a generated finite corpus does not establish exhaustive coverage.

References

  1. Tool behavior and example: Random Silent Scene Constraint Cards Generator — tool.io

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