| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "Megan said finally [finally]" |
| | dialogueSentences | 53 | | tagDensity | 0.226 | | leniency | 0.453 | | rawRatio | 0.083 | | effectiveRatio | 0.038 | |
| 81.27% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1068 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "carefully" | | 1 | "slightly" | | 2 | "quickly" | | 3 | "really" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 81.27% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1068 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "eyebrow" | | 1 | "lilt" | | 2 | "silence" | | 3 | "weight" |
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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 | 42 | | matches | (empty) | |
| 74.83% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 42 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 83 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 63 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1068 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 738 | | uniqueNames | 7 | | maxNameDensity | 2.3 | | worstName | "Megan" | | maxWindowNameDensity | 4 | | worstWindowName | "Megan" | | discoveredNames | | Seven | 1 | | Rory | 15 | | Pryce | 1 | | Megan | 17 | | Confessional | 1 | | Taff | 1 | | Silas | 5 |
| | persons | | 0 | "Rory" | | 1 | "Pryce" | | 2 | "Megan" | | 3 | "Silas" |
| | places | (empty) | | globalScore | 0.348 | | windowScore | 0.333 | |
| 76.47% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 34 | | glossingSentenceCount | 1 | | matches | | 0 | "quite managed to hide with her sleeve" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1068 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 83 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 60 | | mean | 17.8 | | std | 17.54 | | cv | 0.985 | | sampleLengths | | 0 | 2 | | 1 | 14 | | 2 | 1 | | 3 | 54 | | 4 | 5 | | 5 | 41 | | 6 | 41 | | 7 | 1 | | 8 | 38 | | 9 | 2 | | 10 | 7 | | 11 | 8 | | 12 | 48 | | 13 | 6 | | 14 | 35 | | 15 | 3 | | 16 | 6 | | 17 | 41 | | 18 | 5 | | 19 | 34 | | 20 | 3 | | 21 | 14 | | 22 | 13 | | 23 | 36 | | 24 | 6 | | 25 | 2 | | 26 | 40 | | 27 | 24 | | 28 | 3 | | 29 | 12 | | 30 | 4 | | 31 | 42 | | 32 | 26 | | 33 | 20 | | 34 | 3 | | 35 | 2 | | 36 | 57 | | 37 | 10 | | 38 | 2 | | 39 | 15 | | 40 | 5 | | 41 | 24 | | 42 | 49 | | 43 | 5 | | 44 | 7 | | 45 | 46 | | 46 | 7 | | 47 | 2 | | 48 | 6 | | 49 | 2 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 42 | | matches | (empty) | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 125 | | matches | | 0 | "were awaiting" | | 1 | "was losing" | | 2 | "wasn't listening" | | 3 | "was still watching" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 83 | | ratio | 0 | | matches | (empty) | |
| 92.32% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 738 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 36 | | adverbRatio | 0.04878048780487805 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.014905149051490514 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 83 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 83 | | mean | 12.87 | | std | 11.5 | | cv | 0.894 | | sampleLengths | | 0 | 16 | | 1 | 1 | | 2 | 25 | | 3 | 16 | | 4 | 13 | | 5 | 5 | | 6 | 10 | | 7 | 20 | | 8 | 11 | | 9 | 24 | | 10 | 17 | | 11 | 1 | | 12 | 34 | | 13 | 4 | | 14 | 2 | | 15 | 7 | | 16 | 8 | | 17 | 14 | | 18 | 34 | | 19 | 6 | | 20 | 34 | | 21 | 1 | | 22 | 3 | | 23 | 6 | | 24 | 14 | | 25 | 27 | | 26 | 5 | | 27 | 23 | | 28 | 11 | | 29 | 3 | | 30 | 14 | | 31 | 13 | | 32 | 21 | | 33 | 15 | | 34 | 6 | | 35 | 2 | | 36 | 26 | | 37 | 14 | | 38 | 7 | | 39 | 17 | | 40 | 3 | | 41 | 12 | | 42 | 4 | | 43 | 20 | | 44 | 22 | | 45 | 7 | | 46 | 15 | | 47 | 4 | | 48 | 20 | | 49 | 3 |
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| 81.93% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5060240963855421 | | totalSentences | 83 | | uniqueOpeners | 42 | |
| 87.72% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 38 | | matches | | 0 | "Somewhere behind the bar, the" |
| | ratio | 0.026 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 9 | | totalSentences | 38 | | matches | | 0 | "She caught the neck before" | | 1 | "He'd learned, over the months," | | 2 | "She knew that particular lilt," | | 3 | "She took the stool at" | | 4 | "She turned her glass a" | | 5 | "She'd trained herself out of" | | 6 | "She stopped herself, restarted" | | 7 | "She looked instead at the" | | 8 | "She wrapped both hands around" |
| | ratio | 0.237 | |
| 12.63% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 34 | | totalSentences | 38 | | matches | | 0 | "Chapter Seven The gin bottle" | | 1 | "She caught the neck before" | | 2 | "Silas glanced over from the" | | 3 | "He'd learned, over the months," | | 4 | "The voice hit her spine" | | 5 | "She knew that particular lilt," | | 6 | "Rory straightened, glass still in" | | 7 | "Megan Pryce stood there in" | | 8 | "Megan's eyes swept over the" | | 9 | "Megan laughed, but it caught" | | 10 | "She took the stool at" | | 11 | "Megan gestured at the bar," | | 12 | "Rory poured the gin without" | | 13 | "Megan said it the way" | | 14 | "Megan's smile faltered at the" | | 15 | "She turned her glass a" | | 16 | "Megan watched her carefully now," | | 17 | "The glass in Rory's hand" | | 18 | "She'd trained herself out of" | | 19 | "Silence sat between them, thick" |
| | ratio | 0.895 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 38 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 7 | | matches | | 0 | "Megan Pryce stood there in a camel coat that cost more than Rory's monthly rent, her blonde hair straightened into something severe and expensive." | | 1 | "Megan's smile faltered at the edges, the polish cracking just enough to show something underneath, something that looked almost like guilt." | | 2 | "The sound cracked through the quiet bar, sharp enough that Silas looked up from his crossword again, longer this time, reading something in the tilt of Rory's s…" | | 3 | "Silas studied Megan for a beat too long, the kind of look that catalogued exits and threat levels out of habit rather than necessity, then nodded and drifted to…" | | 4 | "Megan almost smiled at that, the old rhythm of their banter surfacing for half a second before sinking again under the weight of everything unsaid between them." | | 5 | "Rory looked at her, really looked, at the woman who'd once braided friendship bracelets over a childhood scar and then vanished behind a firm's glass doors when…" | | 6 | "The door swung open behind them, cold air rushing in ahead of a man in a wet overcoat who called Silas by a name that wasn't Silas, voice low and urgent in a wa…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 53 | | tagDensity | 0.132 | | leniency | 0.264 | | rawRatio | 0 | | effectiveRatio | 0 | |