| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 2 | | adverbTags | | 0 | "she said carefully [carefully]" | | 1 | "Eva said quietly [quietly]" |
| | dialogueSentences | 43 | | tagDensity | 0.372 | | leniency | 0.744 | | rawRatio | 0.125 | | effectiveRatio | 0.093 | |
| 64.42% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1546 | | totalAiIsmAdverbs | 11 | | found | | | highlights | | 0 | "very" | | 1 | "slightly" | | 2 | "carefully" |
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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) | |
| 90.30% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1546 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "remarkable" | | 1 | "weight" | | 2 | "silence" |
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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 | 98 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 98 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 125 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1565 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 1 | | matches | | 0 | "From across the platform, Bright called again." |
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| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 1168 | | uniqueNames | 12 | | maxNameDensity | 1.63 | | worstName | "Quinn" | | maxWindowNameDensity | 5 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | High | 1 | | Street | 1 | | Victorian | 2 | | Northern | 1 | | Callum | 1 | | Bright | 9 | | Quinn | 19 | | Kowalski | 2 | | Eva | 3 | | Bermondsey | 1 | | Morris | 1 |
| | persons | | 0 | "Bright" | | 1 | "Quinn" | | 2 | "Kowalski" | | 3 | "Eva" | | 4 | "Morris" |
| | places | | 0 | "Camden" | | 1 | "High" | | 2 | "Street" | | 3 | "Victorian" | | 4 | "Bermondsey" |
| | globalScore | 0.687 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 8.31% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 1.917 | | wordCount | 1565 | | matches | | 0 | "not agreement, not yet, but the beginning of recalculation" | | 1 | "not yet, but the beginning of recalculation" | | 2 | "not fear exactly, but the specific face of someone standing at the edge of somethi" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 125 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 28.45 | | std | 25.9 | | cv | 0.91 | | sampleLengths | | 0 | 60 | | 1 | 80 | | 2 | 57 | | 3 | 13 | | 4 | 4 | | 5 | 39 | | 6 | 6 | | 7 | 9 | | 8 | 107 | | 9 | 4 | | 10 | 40 | | 11 | 42 | | 12 | 3 | | 13 | 103 | | 14 | 44 | | 15 | 37 | | 16 | 4 | | 17 | 16 | | 18 | 9 | | 19 | 18 | | 20 | 43 | | 21 | 17 | | 22 | 25 | | 23 | 19 | | 24 | 6 | | 25 | 70 | | 26 | 5 | | 27 | 9 | | 28 | 11 | | 29 | 4 | | 30 | 4 | | 31 | 11 | | 32 | 75 | | 33 | 51 | | 34 | 11 | | 35 | 5 | | 36 | 82 | | 37 | 12 | | 38 | 14 | | 39 | 25 | | 40 | 5 | | 41 | 42 | | 42 | 16 | | 43 | 31 | | 44 | 25 | | 45 | 6 | | 46 | 31 | | 47 | 13 | | 48 | 41 | | 49 | 8 |
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| 94.52% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 98 | | matches | | 0 | "been separated" | | 1 | "been torn" | | 2 | "were clustered" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 8 | | totalVerbs | 185 | | matches | | 0 | "was waiting" | | 1 | "was still working" | | 2 | "was still staring" | | 3 | "was being" | | 4 | "was looking" | | 5 | "was standing" | | 6 | "was calling" | | 7 | "was beginning" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 12 | | totalSentences | 125 | | ratio | 0.096 | | matches | | 0 | "The call had come in at quarter past two in the morning — a body in the tunnels beneath Camden High Street, reported by a pair of urban explorers who'd since been separated into two squad cars and were presumably still hyperventilating." | | 1 | "The tiles on the walls were Victorian, cream gone the colour of old teeth, and the air carried that particular underground smell — stone and rust and the ancient breath of the city." | | 2 | "Or rather, it had the ghost of tables — crude wooden structures collapsed against the far wall like tired soldiers, several overturned, one with a leg snapped clean." | | 3 | "Mid-forties was generous — the man looked sixty, with a weathered face and hands that had done hard work for a long time." | | 4 | "The blood smear was there — a single horizontal streak at roughly head height." | | 5 | "Bright's expression shifted — not agreement, not yet, but the beginning of recalculation." | | 6 | "Old, from the look of it — the casing had a greenish patina, verdigris crawling into the engraved lines on the face." | | 7 | "Not random — not the chaos of a fight or a flight." | | 8 | "Not sooty — not the residue of a candle or a brazier." | | 9 | "A young woman was being guided toward the platform by a uniformed officer — mid-twenties, short, curly red hair that was half-escaped from whatever had been holding it, round glasses slightly askew on a freckled face." | | 10 | "She hesitated again — that same weighing, that same private arithmetic." | | 11 | "Three years ago, in a warehouse in Bermondsey, DS Morris had looked at her with that same expression — not fear exactly, but the specific face of someone standing at the edge of something enormous." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1159 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 43 | | adverbRatio | 0.03710094909404659 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.011216566005176877 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 125 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 125 | | mean | 12.52 | | std | 9.81 | | cv | 0.783 | | sampleLengths | | 0 | 42 | | 1 | 13 | | 2 | 5 | | 3 | 28 | | 4 | 33 | | 5 | 4 | | 6 | 9 | | 7 | 6 | | 8 | 27 | | 9 | 30 | | 10 | 7 | | 11 | 6 | | 12 | 4 | | 13 | 39 | | 14 | 3 | | 15 | 3 | | 16 | 9 | | 17 | 12 | | 18 | 13 | | 19 | 4 | | 20 | 28 | | 21 | 8 | | 22 | 19 | | 23 | 17 | | 24 | 6 | | 25 | 4 | | 26 | 5 | | 27 | 35 | | 28 | 6 | | 29 | 20 | | 30 | 3 | | 31 | 7 | | 32 | 6 | | 33 | 3 | | 34 | 17 | | 35 | 8 | | 36 | 31 | | 37 | 23 | | 38 | 9 | | 39 | 15 | | 40 | 15 | | 41 | 14 | | 42 | 4 | | 43 | 11 | | 44 | 3 | | 45 | 19 | | 46 | 15 | | 47 | 4 | | 48 | 16 | | 49 | 9 |
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| 72.27% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.472 | | totalSentences | 125 | | uniqueOpeners | 59 | |
| 36.63% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 91 | | matches | | 0 | "Then she crouched and looked" |
| | ratio | 0.011 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 91 | | matches | | 0 | "She ducked under the police" | | 1 | "She'd checked before leaving the" | | 2 | "He had his own torch" | | 3 | "He fell into step beside" | | 4 | "She kept walking." | | 5 | "She pressed two fingers to" | | 6 | "She didn't say anything about" | | 7 | "He wore a coat that" | | 8 | "She angled her torch." | | 9 | "He held out an evidence" | | 10 | "She looked at it for" | | 11 | "She left him holding the" | | 12 | "She stood at the notional" | | 13 | "She was still staring at" | | 14 | "She wore a satchel across" | | 15 | "She met Quinn's gaze and" | | 16 | "she said carefully" | | 17 | "She hesitated again — that" | | 18 | "she said at last" | | 19 | "She kept her voice level," |
| | ratio | 0.264 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 60 | | totalSentences | 91 | | matches | | 0 | "The call had come in" | | 1 | "Quinn had driven herself, which" | | 2 | "This address felt very wrong." | | 3 | "She ducked under the police" | | 4 | "The tiles on the walls" | | 5 | "She'd checked before leaving the" | | 6 | "DS Callum Bright was waiting" | | 7 | "He had his own torch" | | 8 | "He fell into step beside" | | 9 | "Quinn said nothing." | | 10 | "She kept walking." | | 11 | "The platform opened up around" | | 12 | "Whatever this place had been," | | 13 | "This one had tables." | | 14 | "Tarps had been strung between" | | 15 | "Glass glittered across the platform" | | 16 | "Quinn crouched beside a collapsed" | | 17 | "She pressed two fingers to" | | 18 | "Something powdery, with a faint" | | 19 | "She didn't say anything about" |
| | ratio | 0.659 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 91 | | matches | (empty) | | ratio | 0 | |
| 49.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 6 | | matches | | 0 | "The call had come in at quarter past two in the morning — a body in the tunnels beneath Camden High Street, reported by a pair of urban explorers who'd since be…" | | 1 | "DS Callum Bright was waiting at the bottom, a younger man with the kind of face that photographed well and thought even better of itself for it." | | 2 | "The victim lay on his back beside a concrete support pillar, one arm thrown out, one folded beneath him at the kind of angle that made Quinn's shoulder ache in …" | | 3 | "Tables positioned around a central area, then overturned away from it, as though whatever force had knocked them had originated centrally and moved outward." | | 4 | "A young woman was being guided toward the platform by a uniformed officer — mid-twenties, short, curly red hair that was half-escaped from whatever had been hol…" | | 5 | "She wore a satchel across her body, the leather worn pale at the strap, and she was looking at Quinn's feet with an expression that mingled urgency with the des…" |
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| 93.75% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 1 | | matches | | 0 | "Bright agreed, coming to stand beside her with his arms folded" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 43 | | tagDensity | 0.163 | | leniency | 0.326 | | rawRatio | 0.143 | | effectiveRatio | 0.047 | |