| 82.35% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 25 | | adverbTagCount | 4 | | adverbTags | | 0 | "Rory said finally [finally]" | | 1 | "Megan said abruptly [abruptly]" | | 2 | "she said finally [finally]" | | 3 | "Megan said finally [finally]" |
| | dialogueSentences | 68 | | tagDensity | 0.368 | | leniency | 0.735 | | rawRatio | 0.16 | | effectiveRatio | 0.118 | |
| 88.05% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1673 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slowly" | | 1 | "really" | | 2 | "quickly" |
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| 80.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 64.14% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1673 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "familiar" | | 1 | "warmth" | | 2 | "methodical" | | 3 | "stomach" | | 4 | "lilt" | | 5 | "flickered" | | 6 | "silence" | | 7 | "traced" | | 8 | "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 | 1 | | narrationSentences | 91 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 91 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 132 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 79 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1655 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 24 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 90 | | wordCount | 1069 | | uniqueNames | 22 | | maxNameDensity | 2.81 | | worstName | "Rory" | | maxWindowNameDensity | 5 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Rory | 30 | | Cold | 1 | | War | 1 | | Berlin | 2 | | London | 2 | | Evan | 3 | | Silas | 8 | | Megan | 23 | | Hartley | 2 | | Hartley-Finch | 1 | | Cardiff | 3 | | Barfly | 2 | | Philosophy | 1 | | Theatre | 1 | | Brains | 1 | | Eva | 3 | | Old | 1 | | Fashioneds | 1 | | Yu-Fei | 1 | | Hampstead | 1 |
| | persons | | 0 | "Raven" | | 1 | "Rory" | | 2 | "Evan" | | 3 | "Silas" | | 4 | "Megan" | | 5 | "Hartley" | | 6 | "Hartley-Finch" | | 7 | "Theatre" | | 8 | "Eva" | | 9 | "Yu-Fei" |
| | places | | 0 | "Berlin" | | 1 | "London" | | 2 | "Cardiff" | | 3 | "Hampstead" |
| | globalScore | 0.097 | | windowScore | 0 | |
| 5.07% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | glossingSentenceCount | 4 | | matches | | 0 | "not quite concern, but close enough to make Rory pause mid-step" | | 1 | "quite reach those familiar eyes" | | 2 | "quite fit" | | 3 | "looked like someone else's life" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.604 | | wordCount | 1655 | | matches | | 0 | "not quite concern, but close enough to make Rory pause mid-step" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 132 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 64 | | mean | 25.86 | | std | 20.11 | | cv | 0.778 | | sampleLengths | | 0 | 76 | | 1 | 43 | | 2 | 3 | | 3 | 24 | | 4 | 29 | | 5 | 64 | | 6 | 4 | | 7 | 26 | | 8 | 74 | | 9 | 8 | | 10 | 25 | | 11 | 44 | | 12 | 15 | | 13 | 6 | | 14 | 18 | | 15 | 38 | | 16 | 19 | | 17 | 18 | | 18 | 14 | | 19 | 12 | | 20 | 28 | | 21 | 6 | | 22 | 28 | | 23 | 4 | | 24 | 17 | | 25 | 20 | | 26 | 19 | | 27 | 26 | | 28 | 49 | | 29 | 21 | | 30 | 6 | | 31 | 86 | | 32 | 13 | | 33 | 39 | | 34 | 9 | | 35 | 77 | | 36 | 18 | | 37 | 36 | | 38 | 3 | | 39 | 8 | | 40 | 67 | | 41 | 44 | | 42 | 15 | | 43 | 29 | | 44 | 36 | | 45 | 3 | | 46 | 3 | | 47 | 30 | | 48 | 39 | | 49 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 91 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 183 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 13 | | totalSentences | 132 | | ratio | 0.098 | | matches | | 0 | "The warmth hit her immediately—that particular combination of old wood, whiskey, and the faint musk of leather furniture that had become as much home as the flat upstairs." | | 1 | "He glanced up, and something in his expression shifted—not quite concern, but close enough to make Rory pause mid-step." | | 2 | "Even after eight months in London, unexpected visitors still meant Evan in her mind—though Evan wouldn't dare show his face in Silas's territory." | | 3 | "The hair was wrong—dyed platinum instead of the rich chestnut Rory remembered." | | 4 | "Megan Hartley—because surely she'd dropped the double-barreled surname by now—smiled." | | 5 | "Megan had been all sharp edges then—sarcastic wit and a nose ring, perpetually in ripped tights and her ex-boyfriend's oversized band shirts." | | 6 | "He nodded once—a question and an offer." | | 7 | "Something flickered across Megan's face—defensiveness, maybe, or shame." | | 8 | "On the bar's sound system, something bluesy and instrumental played—probably Silas's choice." | | 9 | "Megan looked up, and for a second, Rory saw the girl from the Barfly again—the one who'd stolen traffic cones and written angry poetry on toilet walls." | | 10 | "Megan looked down at her hands—manicured nails, diamond engagement ring, wedding band that probably cost more than Rory made in six months." | | 11 | "Megan laughed, but it came out wrong—bitter and tired." | | 12 | "Somewhere in the bar, someone laughed—a group of regulars at their usual table, living their usual lives." |
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| 90.81% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1089 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 55 | | adverbRatio | 0.050505050505050504 | | lyAdverbCount | 18 | | lyAdverbRatio | 0.01652892561983471 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 132 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 132 | | mean | 12.54 | | std | 10.2 | | cv | 0.814 | | sampleLengths | | 0 | 28 | | 1 | 28 | | 2 | 20 | | 3 | 24 | | 4 | 19 | | 5 | 3 | | 6 | 19 | | 7 | 5 | | 8 | 3 | | 9 | 23 | | 10 | 3 | | 11 | 12 | | 12 | 7 | | 13 | 12 | | 14 | 18 | | 15 | 15 | | 16 | 3 | | 17 | 1 | | 18 | 10 | | 19 | 14 | | 20 | 2 | | 21 | 32 | | 22 | 22 | | 23 | 20 | | 24 | 8 | | 25 | 9 | | 26 | 16 | | 27 | 9 | | 28 | 7 | | 29 | 5 | | 30 | 17 | | 31 | 6 | | 32 | 15 | | 33 | 6 | | 34 | 18 | | 35 | 8 | | 36 | 18 | | 37 | 12 | | 38 | 9 | | 39 | 6 | | 40 | 4 | | 41 | 8 | | 42 | 10 | | 43 | 9 | | 44 | 5 | | 45 | 7 | | 46 | 5 | | 47 | 3 | | 48 | 12 | | 49 | 13 |
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| 58.84% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.3939393939393939 | | totalSentences | 132 | | uniqueOpeners | 52 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 85 | | matches | | 0 | "Of course Eva would be" | | 1 | "Even the hair dye was" | | 2 | "Sometimes silence was the best" | | 3 | "Somewhere in the bar, someone" |
| | ratio | 0.047 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 85 | | matches | | 0 | "She'd made three deliveries tonight" | | 1 | "He glanced up, and something" | | 2 | "He tilted his head toward" | | 3 | "She turned slowly." | | 4 | "It was a careful expression," | | 5 | "She'd been reading Philosophy and" | | 6 | "He nodded once—a question and" | | 7 | "She held up two fingers." | | 8 | "He was good at reading" | | 9 | "It burned in the good" | | 10 | "He had a gift for" | | 11 | "She thought about her cramped" | | 12 | "She thought about Evan's voice" | | 13 | "She thought about Eva's worried" | | 14 | "she said finally" | | 15 | "She stood, smoothing down the" |
| | ratio | 0.188 | |
| 60.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 85 | | matches | | 0 | "The green neon sign of" | | 1 | "The warmth hit her immediately—that" | | 2 | "She'd made three deliveries tonight" | | 3 | "Silas stood behind it, polishing" | | 4 | "He glanced up, and something" | | 5 | "He tilted his head toward" | | 6 | "Rory's stomach tightened." | | 7 | "She turned slowly." | | 8 | "The woman in the booth" | | 9 | "The hair was wrong—dyed platinum" | | 10 | "The clothes were wrong too," | | 11 | "Megan Hartley—because surely she'd dropped" | | 12 | "It was a careful expression," | | 13 | "The last time Rory had" | | 14 | "Megan had been all sharp" | | 15 | "She'd been reading Philosophy and" | | 16 | "Rory gestured to the seat" | | 17 | "Megan's accent had changed too," | | 18 | "The Cardiff lilt had been" | | 19 | "Rory slid into the booth" |
| | ratio | 0.8 | |
| 58.82% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 85 | | matches | | 0 | "Even after eight months in" |
| | ratio | 0.012 | |
| 65.22% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 5 | | matches | | 0 | "The warmth hit her immediately—that particular combination of old wood, whiskey, and the faint musk of leather furniture that had become as much home as the fla…" | | 1 | "Silas stood behind it, polishing a glass with the methodical precision of a man who'd learned patience in places where impatience got you killed." | | 2 | "He had a gift for selecting music that filled space without demanding attention." | | 3 | "She stood, smoothing down the expensive coat that looked like someone else's life." | | 4 | "Rory traced the crescent scar on her wrist, remembering the girl who'd gotten it falling out of a tree at eight years old, too stubborn to admit she'd climbed t…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 25 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 2 | | fancyTags | | 0 | "Rory breathed (breathe)" | | 1 | "Megan continued (continue)" |
| | dialogueSentences | 68 | | tagDensity | 0.162 | | leniency | 0.324 | | rawRatio | 0.182 | | effectiveRatio | 0.059 | |