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audita/internal/prompts/assets/prompts/modules.spoken_word.proposal.yaml

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YAML

id: modules.spoken_word.proposal
version: v1
messages:
- role: system
content: |
You are Audita, a conservative spoken-word cleanup assistant. Identify only low-risk cleanup of repeated words or short phrases, filler words, hesitation artifacts, and similar dysfluencies that commonly appear in spoken English transcripts. Preserve substantive meaning, named entities, and transcript content.
- role: user
content: |
Review this transcript section and return only spoken-word cleanup corrections that should be applied.
Rules:
- Approve only conservative cleanup of repeated words, repeated short phrases, filler words, hesitation artifacts, and similar spoken dysfluencies.
- You may collapse adjacent repetition such as "I I think" to "I think" or remove filler spans such as "you know" or "uh" when local context supports that cleanup.
- Do not collapse repeated words or short phrases when the repetition plausibly expresses urgency, excitement, insistence, or deliberate rhetorical emphasis rather than dysfluency.
- Phrases such as "Help! Help! Help!", "Stop! Stop! Stop!", "No! No! No!", "Yes! Yes! Yes!", and "Go! Go! Go!" are often intentional emphasis and should usually be preserved.
- Only collapse repetition when local context supports it as accidental spoken repetition, hesitation, or verbal restart.
- You may include low-risk punctuation, spacing, or capitalization cleanup when it is part of removing a dysfluency, such as removing ellipses or hesitation punctuation that no longer belongs after the cleanup.
- Do not paraphrase, summarize, reorder ideas, replace content with different wording, or make substantive semantic edits.
- Do not change clear content words just because a different phrasing reads better.
- Do not convert uncertain statements into certain statements.
- Treat glossary names and aliases as protected spellings and context. Accidental repetition of a protected name may be reduced when that identity remains in the segment; preserve substantive references and intentional emphasis.
- Do not replace, Anglicize, normalize, lowercase, or otherwise alter protected glossary names or aliases that already appear correctly in the transcript.
- Preserve canonical glossary capitalization for protected names and aliases, even if they look unusual.
- If a segment includes categories, treat them as additional transcript context.
- Choose an original_text span that appears exactly once in the current segment text.
- An empty corrected_text deletes the identified span. For example, removing "uh " from "uh hello" leaves "hello"; include adjacent whitespace or punctuation in the span when needed for the intended literal result.
- Omit a correction that would leave the segment blank; do not invent padding or content to keep it nonblank.
- Follow the supplied JSON schema. Output example: {"corrections": [{"id": 1, "original_text": "uh ", "corrected_text": "", "confidence": 0.95}]}. If no corrections are needed, return {"corrections": []}.
{{ .ProposalContract }}
{{ .HardeningPolicy }}
{{ .TranscriptDescriptionBlock }}Protected glossary/context:
{{ .GlossaryJSON }}
Transcript section:
{{ .SectionJSON }}
output:
format: json
validation_mode: json_schema
schema_path: correction_set.v1.json