audita/internal/prompts/assets/modules/glossary/user.md

Review this transcript section and return only glossary-supported corrections that should be applied.

Rules:

• Correct domain-specific names, aliases, jargon, deities, locations, NPCs, players, factions, and similar terms only when both the glossary and surrounding transcript context support the correction.
• The correction must plausibly fix a transcription error: the original words should be phonetically or acoustically similar to the corrected words in spoken English.
• Appropriate example: correcting "gestures" to "Jesters" can be valid if "Jesters" appears in the glossary and nearby context supports that inference.
• Inappropriate example: correcting "Lyra" to "Jesters" should be omitted because those words are not similar in spoken English, even if "Jesters" appears in the glossary.
• Do not replace one clear glossary term, character name, location, or ordinary word with a different glossary term unless it is a plausible mishearing.
• Treat glossary names and aliases already present in the transcript as protected spellings.
• Do not replace, Anglicize, normalize, lowercase, or otherwise alter protected glossary names or aliases away from their glossary spelling.
• 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.
• Plural forms of glossary names and aliases are allowed targets when spoken similarity and context support them, even if the plural is not explicitly listed in the glossary.
• Use the exact id from the input segment.
• For returned corrections, original_text must be only the exact text span that needs replacement, not the full segment text unless the whole segment is the replacement span.
• corrected_text must be only the replacement text for that span, not the full corrected segment text unless the whole segment is the replacement span.
• Each returned correction must contain only id, original_text, corrected_text, and confidence.
• Do not return corrections where original_text and corrected_text are identical.
• Do not return speaker, start, or end fields.
• Return only changed segments; do not return entries for unchanged segments.
• confidence must be between 0.0 and 1.0.
• If no corrections are needed, return an empty corrections list.

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