| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 3 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 12.79% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 172 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "lazily" | | 1 | "utterly" | | 2 | "perfectly" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 12.79% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 172 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "pulse" | | 1 | "quickened" | | 2 | "traced" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 20 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 20 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 22 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 18 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 174 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 56.83% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 6 | | wordCount | 161 | | uniqueNames | 3 | | maxNameDensity | 1.86 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 0.568 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 12 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 174 | | matches | (empty) | |
| 15.15% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 22 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 10 | | mean | 17.4 | | std | 12.27 | | cv | 0.705 | | sampleLengths | | 0 | 40 | | 1 | 5 | | 2 | 9 | | 3 | 22 | | 4 | 33 | | 5 | 12 | | 6 | 7 | | 7 | 12 | | 8 | 30 | | 9 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 20 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 27 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 22 | | ratio | 0.091 | | matches | | 0 | "Her fingers traced the small crescent scar on her left wrist — a nervous habit she'd never quite shaken." | | 1 | "His mismatched eyes — one amber, one black — swept over her." |
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| 96.48% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 159 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 7 | | adverbRatio | 0.0440251572327044 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.018867924528301886 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 22 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 22 | | mean | 7.91 | | std | 5.27 | | cv | 0.667 | | sampleLengths | | 0 | 14 | | 1 | 12 | | 2 | 14 | | 3 | 2 | | 4 | 1 | | 5 | 2 | | 6 | 4 | | 7 | 4 | | 8 | 1 | | 9 | 3 | | 10 | 19 | | 11 | 7 | | 12 | 8 | | 13 | 18 | | 14 | 12 | | 15 | 7 | | 16 | 8 | | 17 | 4 | | 18 | 12 | | 19 | 11 | | 20 | 7 | | 21 | 4 |
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| 95.45% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.7727272727272727 | | totalSentences | 22 | | uniqueOpeners | 17 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 15 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 4 | | totalSentences | 15 | | matches | | 0 | "She knew that rhythm." | | 1 | "Her fingers traced the small" | | 2 | "She crossed the room, each" | | 3 | "His mismatched eyes — one" |
| | ratio | 0.267 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 14 | | totalSentences | 15 | | matches | | 0 | "The sharp rap of knuckles" | | 1 | "Rory froze, her hand suspended" | | 2 | "Ptolemy, the tabby cat, stretched" | | 3 | "She knew that rhythm." | | 4 | "Those precise, controlled strikes." | | 5 | "Rory's pulse quickened." | | 6 | "Her fingers traced the small" | | 7 | "She crossed the room, each" | | 8 | "The three deadbolts felt heavy" | | 9 | "His mismatched eyes — one" | | 10 | "Rory leaned against the doorframe," | | 11 | "A hint of a smile" | | 12 | "That dangerous, knowing smile that" | | 13 | "That had gotten them both" |
| | ratio | 0.933 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 15 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 8 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 3 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |