| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 25 | | adverbTagCount | 2 | | adverbTags | | 0 | "Rory gestured loosely [loosely]" | | 1 | "Rory said quietly [quietly]" |
| | dialogueSentences | 71 | | tagDensity | 0.352 | | leniency | 0.704 | | rawRatio | 0.08 | | effectiveRatio | 0.056 | |
| 92.62% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2033 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "loosely" | | 1 | "really" | | 2 | "slowly" |
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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) | |
| 60.65% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2033 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "measured" | | 1 | "warmth" | | 2 | "silk" | | 3 | "silence" | | 4 | "weight" | | 5 | "comfortable" | | 6 | "pulsed" |
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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 | 134 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 134 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 180 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 61 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2022 | | 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 | 84 | | wordCount | 1378 | | uniqueNames | 13 | | maxNameDensity | 2.39 | | worstName | "Rory" | | maxWindowNameDensity | 5 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Thursday | 1 | | Silas | 11 | | Golden | 1 | | Empress | 1 | | Rory | 33 | | Jameson | 3 | | Maren | 27 | | Cool | 1 | | Evan | 1 | | Zurich | 1 | | Sancerre | 2 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Rory" | | 4 | "Jameson" | | 5 | "Maren" | | 6 | "Evan" |
| | places | | | globalScore | 0.303 | | windowScore | 0 | |
| 51.32% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 76 | | glossingSentenceCount | 3 | | matches | | 0 | "tasted like the last good thought before" | | 1 | "something close to it, her chin tilted toward th" | | 2 | "tasted like minerals" |
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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 | 2022 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 180 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 80 | | mean | 25.28 | | std | 21.85 | | cv | 0.864 | | sampleLengths | | 0 | 91 | | 1 | 71 | | 2 | 9 | | 3 | 46 | | 4 | 21 | | 5 | 4 | | 6 | 40 | | 7 | 71 | | 8 | 5 | | 9 | 1 | | 10 | 34 | | 11 | 23 | | 12 | 30 | | 13 | 78 | | 14 | 9 | | 15 | 32 | | 16 | 18 | | 17 | 28 | | 18 | 77 | | 19 | 5 | | 20 | 10 | | 21 | 34 | | 22 | 16 | | 23 | 15 | | 24 | 28 | | 25 | 8 | | 26 | 19 | | 27 | 10 | | 28 | 37 | | 29 | 2 | | 30 | 17 | | 31 | 21 | | 32 | 1 | | 33 | 8 | | 34 | 41 | | 35 | 28 | | 36 | 4 | | 37 | 4 | | 38 | 46 | | 39 | 16 | | 40 | 4 | | 41 | 8 | | 42 | 89 | | 43 | 10 | | 44 | 39 | | 45 | 4 | | 46 | 11 | | 47 | 36 | | 48 | 4 | | 49 | 11 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 134 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 236 | | matches | | 0 | "was apologising" | | 1 | "was checking" | | 2 | "were escalating" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 180 | | ratio | 0.05 | | matches | | 0 | "Inside, the bar held its usual Thursday night population—four men at the end discussing rugby with the passion of theologians, a woman in a camel coat nursing a gin and tonic near the fireplace, and Silas behind the bar, polishing the same glass he'd been polishing for ten minutes because his hands needed something to do." | | 1 | "A gust of wet air rolled through the bar, carrying with it the sound of a woman's laugh—low, measured, nothing like the sound Rory remembered." | | 2 | "She wore a charcoal wool coat that probably cost more than Rory's rent for three months, and her hair—once a frizzy, untameable mane of copper that she'd cursed every morning of their shared adolescence—had been chemically subdued into a sleek, honeyed wave that fell past her jaw." | | 3 | "Her eyes—still green, still the colour of river glass held up to sunlight—widened, then narrowed with the careful calibration of someone deciding, in real time, how much surprise to perform." | | 4 | "She set her umbrella in the stand by the door and came to the bar, settling on the stool next to Rory—close enough to invade, far enough to claim deniability." | | 5 | "Beneath it, around the edges, she could still find the girl she'd known—the one who'd climbed onto Rory's windowsill at sixteen with a split lip and a bag of crisps, the one who'd held Rory's hair back after her first hangover, the one who'd whispered \"he's not worth it\" the night Rory finally told someone about Evan." | | 6 | "Just a fracture, barely visible, but Rory caught it—the way her jaw tightened, the way her eyes went glassy for half a second before she blinked it away." | | 7 | "The touch was brief, almost tentative—the old Maren surfacing for a moment before the new one pulled her back." | | 8 | "He'd understood the shape of the conversation the way he understood everything—with a quiet competence that bordered on supernatural." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1395 | | adjectiveStacks | 1 | | stackExamples | | 0 | "same low, measured sound." |
| | adverbCount | 48 | | adverbRatio | 0.034408602150537634 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.0064516129032258064 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 180 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 180 | | mean | 11.23 | | std | 11.09 | | cv | 0.987 | | sampleLengths | | 0 | 7 | | 1 | 28 | | 2 | 56 | | 3 | 29 | | 4 | 6 | | 5 | 36 | | 6 | 9 | | 7 | 14 | | 8 | 3 | | 9 | 8 | | 10 | 2 | | 11 | 19 | | 12 | 8 | | 13 | 13 | | 14 | 4 | | 15 | 25 | | 16 | 15 | | 17 | 14 | | 18 | 47 | | 19 | 6 | | 20 | 4 | | 21 | 5 | | 22 | 1 | | 23 | 4 | | 24 | 30 | | 25 | 10 | | 26 | 10 | | 27 | 3 | | 28 | 9 | | 29 | 15 | | 30 | 6 | | 31 | 22 | | 32 | 13 | | 33 | 13 | | 34 | 30 | | 35 | 6 | | 36 | 3 | | 37 | 20 | | 38 | 2 | | 39 | 2 | | 40 | 8 | | 41 | 4 | | 42 | 5 | | 43 | 9 | | 44 | 5 | | 45 | 20 | | 46 | 3 | | 47 | 11 | | 48 | 7 | | 49 | 20 |
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| 53.70% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.35555555555555557 | | totalSentences | 180 | | uniqueOpeners | 64 | |
| 89.29% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 112 | | matches | | 0 | "Always the second." | | 1 | "Just a fracture, barely visible," | | 2 | "Then she poured one for" |
| | ratio | 0.027 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 112 | | matches | | 0 | "It came in sideways against" | | 1 | "Her delivery shift had run" | | 2 | "She slid onto the second" | | 3 | "She took a sip and" | | 4 | "She kept her eyes closed" | | 5 | "She wore a charcoal wool" | | 6 | "Her cheekbones had always been" | | 7 | "Her eyes—still green, still the" | | 8 | "Her hands rested on the" | | 9 | "She'd always moved like she" | | 10 | "She set her umbrella in" | | 11 | "She gave a small nod." | | 12 | "He moved to the wine" | | 13 | "She turned on the stool" | | 14 | "She wore a grey hoodie" | | 15 | "She'd learned how to keep" | | 16 | "He'd understood the shape of" | | 17 | "He moved the bottle of" | | 18 | "she gestured at herself, the" | | 19 | "She'd stopped covering it years" |
| | ratio | 0.196 | |
| 13.57% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 100 | | totalSentences | 112 | | matches | | 0 | "The rain hadn't let up" | | 1 | "It came in sideways against" | | 2 | "Rory pushed through the door" | | 3 | "Her delivery shift had run" | | 4 | "Yu-Fei had kept her behind" | | 5 | "Silas didn't look up from" | | 6 | "She slid onto the second" | | 7 | "The first put her back" | | 8 | "Silas poured her a Jameson," | | 9 | "She took a sip and" | | 10 | "The whiskey was warm and" | | 11 | "The door opened again." | | 12 | "A gust of wet air" | | 13 | "She kept her eyes closed" | | 14 | "The woman stood just inside" | | 15 | "She wore a charcoal wool" | | 16 | "Her cheekbones had always been" | | 17 | "Rory set the glass down." | | 18 | "The woman's head turned." | | 19 | "Her eyes—still green, still the" |
| | ratio | 0.893 | |
| 89.29% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 112 | | matches | | 0 | "Now they looked engineered." | | 1 | "Now she walked like she'd" |
| | ratio | 0.018 | |
| 23.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 7 | | matches | | 0 | "It came in sideways against the windows of The Raven's Nest, turning the green neon sign out front into a watercolour smear that bled across the wet pavement." | | 1 | "Rory pushed through the door at half past eight, shaking rain from her jacket with the aggressive efficiency of someone who'd sprinted the last block from the G…" | | 2 | "She wore a charcoal wool coat that probably cost more than Rory's rent for three months, and her hair—once a frizzy, untameable mane of copper that she'd cursed…" | | 3 | "She wore a grey hoodie under her rain jacket and jeans with a hole in the left knee that hadn't been fashionable on purpose." | | 4 | "The kind that had been sitting in a room somewhere for years, gathering dust, waiting to be addressed." | | 5 | "He'd understood the shape of the conversation the way he understood everything—with a quiet competence that bordered on supernatural." | | 6 | "The rain intensified against the windows, a steady percussion that filled the spaces between their words." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 25 | | uselessAdditionCount | 1 | | matches | | 0 | "she gestured, the coat, the hair, all of it—" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 3 | | fancyTags | | 0 | "Maren pressed (press)" | | 1 | "Maren spoke (speak)" | | 2 | "Maren repeated (repeat)" |
| | dialogueSentences | 71 | | tagDensity | 0.197 | | leniency | 0.394 | | rawRatio | 0.214 | | effectiveRatio | 0.085 | |