| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 1 | | adverbTags | | 0 | "He gestured loosely [loosely]" |
| | dialogueSentences | 38 | | tagDensity | 0.553 | | leniency | 1 | | rawRatio | 0.048 | | effectiveRatio | 0.048 | |
| 89.57% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1917 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "carefully" | | 1 | "loosely" | | 2 | "softly" |
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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) | |
| 84.35% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1917 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "familiar" | | 1 | "weight" | | 2 | "silence" | | 3 | "flicked" |
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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 | 102 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 102 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 119 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 52 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1913 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 50 | | wordCount | 1473 | | uniqueNames | 28 | | maxNameDensity | 0.54 | | worstName | "Silas" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 4 | | London | 3 | | Carter | 1 | | Soho | 1 | | Cairo | 1 | | Prague | 3 | | Blackwood | 1 | | Cardiff | 4 | | Jennifer | 1 | | Evan | 4 | | Yu-Fei | 1 | | Cheung | 1 | | Le | 1 | | Carré | 1 | | Silas | 8 | | Pre-Law | 2 | | University | 1 | | Rory | 1 | | Scotch | 1 | | Eva | 2 | | Eastern | 1 | | Europe | 1 | | Balkans | 1 | | Thames | 1 | | Victorian | 1 | | Ireland | 1 | | Come | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Carter" | | 3 | "Blackwood" | | 4 | "Jennifer" | | 5 | "Evan" | | 6 | "Yu-Fei" | | 7 | "Cheung" | | 8 | "Silas" | | 9 | "University" | | 10 | "Rory" | | 11 | "Eva" | | 12 | "Victorian" |
| | places | | 0 | "London" | | 1 | "Soho" | | 2 | "Cairo" | | 3 | "Prague" | | 4 | "Cardiff" | | 5 | "Eastern" | | 6 | "Europe" | | 7 | "Thames" | | 8 | "Ireland" | | 9 | "Come" |
| | globalScore | 1 | | windowScore | 1 | |
| 52.60% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 77 | | glossingSentenceCount | 3 | | matches | | 0 | "not quite stay the girl who delivered dumplings for Yu-Fei Cheung and lived rent-cheap above a retired spy’s bar" | | 1 | "felt like escape until it became habit" | | 2 | "not quite a compliment" |
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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 | 1913 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 119 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 56.26 | | std | 32.84 | | cv | 0.584 | | sampleLengths | | 0 | 65 | | 1 | 78 | | 2 | 91 | | 3 | 10 | | 4 | 86 | | 5 | 42 | | 6 | 55 | | 7 | 38 | | 8 | 82 | | 9 | 86 | | 10 | 7 | | 11 | 12 | | 12 | 40 | | 13 | 90 | | 14 | 53 | | 15 | 26 | | 16 | 131 | | 17 | 33 | | 18 | 49 | | 19 | 121 | | 20 | 17 | | 21 | 83 | | 22 | 47 | | 23 | 35 | | 24 | 21 | | 25 | 7 | | 26 | 59 | | 27 | 84 | | 28 | 51 | | 29 | 71 | | 30 | 38 | | 31 | 24 | | 32 | 63 | | 33 | 118 |
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| 98.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 102 | | matches | | 0 | "been invited" | | 1 | "been compared" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 235 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 5 | | flaggedSentences | 8 | | totalSentences | 119 | | ratio | 0.067 | | matches | | 0 | "The narrow Soho street smelled of rain and wet cardboard; behind the door came the low thrum of conversation, the occasional chime of glass." | | 1 | "Her straight black hair fell past her shoulders now, longer, unbrushed tonight; the bright blue of her eyes felt almost too sharp in the half-dark." | | 2 | "The limp was permanent; Prague had seen to that." | | 3 | "She had known the bones of the story long ago—botched extraction, a colleague left behind or worse, a knee that never properly healed." | | 4 | "The secret room sat behind the bookshelf at the far end; she could still remember the particular copy of Le Carré that tipped the catch." | | 5 | "He had not poured for himself until now; the liquid barely covered the bottom." | | 6 | "For a heartbeat he looked almost like the man in the frame—younger, straighter, before Prague, before the Nest became a monument to everything unfinished." | | 7 | "The dust and the unopened letters and the version of herself who still dreamed of finishing Pre-Law or of never hearing Evan’s key in a lock—they could all wait." |
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| 83.81% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1491 | | adjectiveStacks | 1 | | stackExamples | | 0 | "same slow circular motion" |
| | adverbCount | 77 | | adverbRatio | 0.051643192488262914 | | lyAdverbCount | 20 | | lyAdverbRatio | 0.01341381623071764 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 119 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 119 | | mean | 16.08 | | std | 11.31 | | cv | 0.704 | | sampleLengths | | 0 | 20 | | 1 | 18 | | 2 | 24 | | 3 | 3 | | 4 | 31 | | 5 | 6 | | 6 | 31 | | 7 | 10 | | 8 | 17 | | 9 | 15 | | 10 | 19 | | 11 | 23 | | 12 | 17 | | 13 | 3 | | 14 | 4 | | 15 | 3 | | 16 | 15 | | 17 | 18 | | 18 | 28 | | 19 | 25 | | 20 | 25 | | 21 | 12 | | 22 | 5 | | 23 | 24 | | 24 | 16 | | 25 | 10 | | 26 | 5 | | 27 | 18 | | 28 | 20 | | 29 | 4 | | 30 | 7 | | 31 | 8 | | 32 | 9 | | 33 | 37 | | 34 | 17 | | 35 | 26 | | 36 | 9 | | 37 | 23 | | 38 | 28 | | 39 | 7 | | 40 | 9 | | 41 | 3 | | 42 | 29 | | 43 | 11 | | 44 | 33 | | 45 | 5 | | 46 | 4 | | 47 | 25 | | 48 | 23 | | 49 | 15 |
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| 63.59% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.4117647058823529 | | totalSentences | 119 | | uniqueOpeners | 49 | |
| 35.09% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 95 | | matches | | 0 | "More an identification." |
| | ratio | 0.011 | |
| 55.79% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 95 | | matches | | 0 | "She pushed inside." | | 1 | "His hazel eyes took a" | | 2 | "She closed the door behind" | | 3 | "Her own voice sounded foreign," | | 4 | "She crossed to the bar" | | 5 | "Her straight black hair fell" | | 6 | "He poured without asking: two" | | 7 | "She wrapped her fingers around" | | 8 | "He leaned both forearms on" | | 9 | "She tasted the whisky." | | 10 | "It burned exactly as it" | | 11 | "She had left an abusive" | | 12 | "She had known the bones" | | 13 | "he said at last" | | 14 | "She tried a smile and" | | 15 | "He gestured loosely at the" | | 16 | "She had never been invited" | | 17 | "she said, filling air that" | | 18 | "She tasted another sip" | | 19 | "He had not poured for" |
| | ratio | 0.411 | |
| 60.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 76 | | totalSentences | 95 | | matches | | 0 | "The green neon sign crackled" | | 1 | "Aurora Carter hesitated under it," | | 2 | "The narrow Soho street smelled" | | 3 | "She pushed inside." | | 4 | "The walls still wore their" | | 5 | "Nothing had shifted, and that" | | 6 | "Silas Blackwood stood behind the" | | 7 | "The silver signet ring still" | | 8 | "His hazel eyes took a" | | 9 | "She closed the door behind" | | 10 | "Her own voice sounded foreign," | | 11 | "She crossed to the bar" | | 12 | "Her straight black hair fell" | | 13 | "He poured without asking: two" | | 14 | "The glass slid toward her" | | 15 | "She wrapped her fingers around" | | 16 | "A childhood fall, a hospital" | | 17 | "He leaned both forearms on" | | 18 | "She tasted the whisky." | | 19 | "It burned exactly as it" |
| | ratio | 0.8 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 95 | | matches | (empty) | | ratio | 0 | |
| 16.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 9 | | matches | | 0 | "Aurora Carter hesitated under it, one hand on the brass handle that had never quite fitted its latch." | | 1 | "She had left an abusive ex named Evan behind in Cardiff and then, months later, found she could not quite stay the girl who delivered dumplings for Yu-Fei Cheun…" | | 2 | "The secret room sat behind the bookshelf at the far end; she could still remember the particular copy of Le Carré that tipped the catch." | | 3 | "She had left Pre-Law at Cardiff University unfinished, fled the sound of Evan’s voice at the door, become Rory who could talk her way past any bouncer and still…" | | 4 | "Tonight the cool-headed girl who solved problems out of the box felt blunted, slower, carrying kidney-shaped regrets she had never named aloud." | | 5 | "It hummed with all the things neither of them had said when she was twenty-one and new to the city and he was the man who gave her a room because her childhood …" | | 6 | "He had taught her how to read a room the same way he used to read traffic patterns in Eastern Europe: who is looking at the door, who is nursing a drink that wi…" | | 7 | "She could name three of them by the creases: one of the Balkans, one of the Thames harrowed by Victorian docks, one of an unnamed coast that might have been Ire…" | | 8 | "For now there was the bar, the green neon buzzing faintly through the glass, and two people who had once known how to read rooms sitting together measuring the …" |
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| 77.38% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 2 | | matches | | 0 | "He leaned, weight shifting carefully off the bad knee" | | 1 | "she said, softer" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 38 | | tagDensity | 0.237 | | leniency | 0.474 | | rawRatio | 0 | | effectiveRatio | 0 | |