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Pattern match on emotion labels and telling phrases editors flag in AI drafts.
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Paste your text above, then click Analyze — or try Sample.
Telling names emotions instead of dramatizing them — one of the most common issues in AI drafts and early revisions. This show-don't-tell checker pattern-matches emotion labels, "was/were + adjective" constructions, and abstract feeling phrases, then highlights them for rewrite.
Rule-based analyzers catch patterns human eyes skim past—especially in AI drafts where filter words, adverbs, and passive voice cluster predictably. Use metrics to prioritize revision, not to flatten your voice. Run a chapter first, fix the worst offenders, then scan the full manuscript.
Phrases like "she felt angry," "he was devastated," or "a wave of sadness" label emotions instead of showing behavior or sensation.
No. Summary telling has its place. This tool helps you find clusters to convert in important scenes.
Models summarize internal states efficiently. Showing requires concrete detail — this checker marks where to add it.