Random Alternate Ending Comparison Packet Generator

Description

Combine a supplied premise with distinct supplied endings and an explicit consequence-tag comparison without generating narrative prose.

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 a supplied premise with distinct supplied endings and an explicit consequence-tag comparison without generating narrative prose.

When to use this tool

Use this generator to create reproducible alternate ending comparison 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 premises, endings, count, wrapWidth 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 premise, endings, comparison. Use the conventions below. Keep answer-bearing fields separate when presenting an exercise.

Sample one premise and distinct supplied endings, word-wrap them, and build a sorted comparison table mapping every consequence tag to the endings containing it.^[1]

Input field	Meaning and units	Accepted input
premises	Premises	Required. Array of Text; minimum UTF-16 length 1; maximum UTF-16 length 1024.; minimum items 1; maximum items 16.
endings	Endings	Required. Array of Object; no unknown keys.; minimum items 2; maximum items 16.
endings[].id	Literal identifier used independently of display labels.	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
endings[].text	Text	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 1024.
endings[].consequenceTags	Consequence Tags	Required. Array of Text; minimum UTF-16 length 1; maximum UTF-16 length 64.; minimum items 0; maximum items 16.
count	Count	Required. Safe integer; minimum 2; maximum 16.
wrapWidth	Wrap Width	Required. Safe integer; minimum 1; maximum 4096.
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
premise	Premise	Required. Object; no unknown keys.
premise.text	Text	Required. Text; maximum UTF-16 length 65536.
premise.lineCount	Line Count	Required. Safe integer; minimum 0; maximum 9007199254740991.
endings	Endings	Required. Array of Object; no unknown keys.; minimum items 2; maximum items 16.
endings[].id	Literal identifier used independently of display labels.	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
endings[].body	Body	Required. Object; no unknown keys.
endings[].body.text	Text	Required. Text; maximum UTF-16 length 65536.
endings[].body.lineCount	Line Count	Required. Safe integer; minimum 0; maximum 9007199254740991.
endings[].consequenceTags	Consequence Tags	Required. Array of Text; minimum UTF-16 length 1; maximum UTF-16 length 64.; minimum items 0; maximum items 16.
comparison	Comparison	Required. Array of Object; no unknown keys.; minimum items 0; maximum items 256.
comparison[].tag	Tag	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
comparison[].endingIds	Ending Ids	Required. Array of Text; minimum UTF-16 length 1; maximum UTF-16 length 64.; minimum items 1; maximum items 16.
randomness	Replay source and normalized 32-bit seed, or null seed for an advancing context source.	Required. Object; no unknown keys.
randomness.seed	Optional safe-integer 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": {
    "premises": [
      "A map is lost."
    ],
    "endings": [
      {
        "id": "return",
        "text": "She returns.",
        "consequenceTags": [
          "home"
        ]
      },
      {
        "id": "leave",
        "text": "She sails.",
        "consequenceTags": [
          "journey"
        ]
      }
    ],
    "count": 2,
    "wrapWidth": 80,
    "seed": 42
  },
  "output": {
    "premise": {
      "text": "A map is lost.",
      "lineCount": 1
    },
    "endings": [
      {
        "id": "return",
        "body": {
          "text": "She returns.",
          "lineCount": 1
        },
        "consequenceTags": [
          "home"
        ]
      },
      {
        "id": "leave",
        "body": {
          "text": "She sails.",
          "lineCount": 1
        },
        "consequenceTags": [
          "journey"
        ]
      }
    ],
    "comparison": [
      {
        "tag": "home",
        "endingIds": [
          "return"
        ]
      },
      {
        "tag": "journey",
        "endingIds": [
          "leave"
        ]
      }
    ],
    "randomness": {
      "seed": 42,
      "source": "seed"
    }
  }
}

Limitations and assumptions

Tags are caller annotations, not consequences inferred from text. The selected premise is independent of ending selection and no compatibility or literary-quality judgment is performed.
A replay requires the same complete input and implementation. The stated sampling convention applies within its eligible space. A finite draw does not exhaust all possible outputs; repeats remain possible unless a distinct-selection rule is explicit.
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 Alternate Ending Comparison Packet Generator — tool.io

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