Random Improv Status Reversal Exercise Generator

Description

Pair supplied fictional roles with contrasting status cues and explicitly reverse their assignments at each scene midpoint; no personal traits are inferred.

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.

Pair supplied fictional roles with contrasting status cues and explicitly reverse their assignments at each scene midpoint; no personal traits are inferred.

When to use this tool

Use this generator to create reproducible improv status reversal 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

Supply roles, cuePairs, sceneCount, segmentSeconds in the field shapes below. Set seed when you need an explicit replay.
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.
Read scenes, rounds, totalSeconds. Use the conventions below and keep answer-bearing fields separate when presenting an exercise.

Draw two distinct roles and a supplied high/low cue pair per scene. Assign equal consecutive segments, then swap the high- and low-status roles while retaining the cue meanings. Return paired-scene rounds and total seconds.^[1]

Input field	Meaning and units	Accepted input
roles	Roles	Required. Array of Text; minimum UTF-16 length 1; maximum UTF-16 length 64.; minimum items 2; maximum items 16.
cuePairs	Cue Pairs	Required. Array of Object; no unknown keys.; minimum items 1; maximum items 16.
cuePairs[].id	Literal identifier used to match records, independently of their display labels.	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
cuePairs[].high	High	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 1024.
cuePairs[].low	Low	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 1024.
sceneCount	Scene Count	Required. Safe integer; minimum 1; maximum 32.
segmentSeconds	Segment Seconds	Required. Safe integer; minimum 1; maximum 9007199254740991.
seed	Optional numeric seed; takes precedence over context randomness. Without either, use the fixed tool.io default seed.	Optional. Safe integer.

Output field	Interpretation	Returned shape
scenes	Scenes	Required. Array of Object; no unknown keys.; minimum items 1; maximum items 32.
scenes[].id	Literal identifier used to match records, independently of their display labels.	Required. Safe integer; minimum 1; maximum 32.
scenes[].cuePairId	Cue Pair Id	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
scenes[].segments	Segments	Required. Array of Object; no unknown keys.; minimum items 2; maximum items 2.
scenes[].segments[].startSecond	Start Second	Required. Safe integer; minimum 0; maximum 9007199254740991.
scenes[].segments[].endSecond	End Second	Required. Safe integer; minimum 0; maximum 9007199254740991.
scenes[].segments[].highRole	High Role	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
scenes[].segments[].lowRole	Low Role	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
scenes[].segments[].highCue	High Cue	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 1024.
scenes[].segments[].lowCue	Low Cue	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 1024.
rounds	Rounds	Required. Array of Array of Safe integer; minimum 1; maximum 32.; minimum items 1; maximum items 2.; minimum items 1; maximum items 16.
totalSeconds	Total Seconds	Required. Safe integer; minimum 1; maximum 9007199254740991.
randomness	Replay 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.seed	Optional numeric replay seed; normalization and precedence are explained below.	Required. Safe integer. or Null.
randomness.source	Source	Required. 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": {
    "roles": [
      "captain",
      "porter"
    ],
    "cuePairs": [
      {
        "id": "lead",
        "high": "Leads",
        "low": "Follows"
      }
    ],
    "sceneCount": 1,
    "segmentSeconds": 15,
    "seed": 42
  },
  "output": {
    "scenes": [
      {
        "id": 1,
        "cuePairId": "lead",
        "segments": [
          {
            "startSecond": 0,
            "endSecond": 15,
            "highRole": "porter",
            "lowRole": "captain",
            "highCue": "Leads",
            "lowCue": "Follows"
          },
          {
            "startSecond": 15,
            "endSecond": 30,
            "highRole": "captain",
            "lowRole": "porter",
            "highCue": "Leads",
            "lowCue": "Follows"
          }
        ]
      }
    ],
    "rounds": [
      [
        1
      ]
    ],
    "totalSeconds": 30,
    "randomness": {
      "seed": 42,
      "source": "seed"
    }
  }
}

Limitations and assumptions

Status is a fictional performance convention, not a judgment of participants. Cue meanings must differ, and time totals 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

Tool behavior and example: Random Improv Status Reversal Exercise Generator — tool.io

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