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Random Improv Dialogue Word Ban Challenge Generator

Select supplied forbidden tokens and compatible substitute objectives with a literal checklist and disclosed matching convention; speech monitoring remains outside the tool.

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Description

Select supplied forbidden tokens and compatible substitute objectives with a literal checklist and disclosed matching convention; speech monitoring remains outside the tool.

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.

Select supplied forbidden tokens and compatible substitute objectives with a literal checklist and disclosed matching convention; speech monitoring remains outside the tool.

When to use this tool

Use this generator to create reproducible improv dialogue word ban 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 briefs, forbiddenWords, banCount, substitutes 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 bannedWords, cards, rounds, matchingPolicy, automaticSpeechMonitoring. Use the conventions below and keep answer-bearing fields separate when presenting an exercise.

Search for distinct banned words such that every brief retains a shared-tag substitute objective containing none of them. Sample a compatible substitute for each brief and return exact-token checklists.1

Input fieldMeaning and unitsAccepted input
briefsBriefsRequired. Array of Object; no unknown keys.; minimum items 1; maximum items 32.
briefs[].idLiteral identifier used to match records, independently of their display labels.Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
briefs[].textTextRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 1024.
briefs[].tagsTagsRequired. Array of Text; minimum UTF-16 length 1; maximum UTF-16 length 64.; minimum items 0; maximum items 16.
forbiddenWordsForbidden WordsRequired. Array of Text; minimum UTF-16 length 1; maximum UTF-16 length 1024.; minimum items 1; maximum items 16.
banCountBan CountRequired. Safe integer; minimum 1; maximum 16.
substitutesSubstitutesRequired. Array of Object; no unknown keys.; minimum items 1; maximum items 16.
substitutes[].idLiteral identifier used to match records, independently of their display labels.Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
substitutes[].objectiveObjectiveRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 1024.
substitutes[].tagsTagsRequired. Array of Text; minimum UTF-16 length 1; maximum UTF-16 length 64.; minimum items 0; maximum items 16.
seedOptional numeric seed; takes precedence over context randomness. Without either, use the fixed tool.io default seed.Optional. Safe integer.
Output fieldInterpretationReturned shape
bannedWordsBanned WordsRequired. Array of Text; minimum UTF-16 length 1; maximum UTF-16 length 1024.; minimum items 1; maximum items 16.
cardsCardsRequired. Array of Object; no unknown keys.; minimum items 1; maximum items 32.
cards[].briefIdBrief IdRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
cards[].briefBriefRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 1024.
cards[].substituteIdSubstitute IdRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
cards[].substituteObjectiveSubstitute ObjectiveRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 1024.
cards[].sharedTagsShared TagsRequired. Array of Text; minimum UTF-16 length 1; maximum UTF-16 length 64.; minimum items 0; maximum items 16.
cards[].checklistChecklistRequired. Array of Text; minimum UTF-16 length 1; maximum UTF-16 length 1024.; minimum items 1; maximum items 16.
roundsRoundsRequired. Array of Array of Text; minimum UTF-16 length 1; maximum UTF-16 length 64.; minimum items 1; maximum items 2.; minimum items 1; maximum items 16.
matchingPolicyMatching PolicyRequired. Text; exactly "exact case-sensitive whitespace tokens; punctuation is retained".
automaticSpeechMonitoringAutomatic Speech MonitoringRequired. Boolean; exactly false.
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": {
    "briefs": [
      {
        "id": "letter",
        "text": "Request a letter",
        "tags": [
          "request"
        ]
      }
    ],
    "forbiddenWords": [
      "yes",
      "no"
    ],
    "banCount": 1,
    "substitutes": [
      {
        "id": "open",
        "objective": "Ask openly",
        "tags": [
          "request"
        ]
      }
    ],
    "seed": 42
  },
  "output": {
    "bannedWords": [
      "no"
    ],
    "cards": [
      {
        "briefId": "letter",
        "brief": "Request a letter",
        "substituteId": "open",
        "substituteObjective": "Ask openly",
        "sharedTags": [
          "request"
        ],
        "checklist": [
          "no"
        ]
      }
    ],
    "rounds": [
      [
        "letter"
      ]
    ],
    "matchingPolicy": "exact case-sensitive whitespace tokens; punctuation is retained",
    "automaticSpeechMonitoring": false,
    "randomness": {
      "seed": 42,
      "source": "seed"
    }
  }
}

Limitations and assumptions

  • Matching is case-sensitive whitespace token equality with punctuation retained. There is no automatic speech monitoring; tags and text banks determine feasibility and no meaning-based synonym detection occurs.
  • 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 Improv Dialogue Word Ban Challenge Generator — tool.io

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