| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 3 | | adverbTags | | 0 | "she said aloud [aloud]" | | 1 | "the woman said quickly [quickly]" | | 2 | "Quinn said quietly [quietly]" |
| | dialogueSentences | 23 | | tagDensity | 0.478 | | leniency | 0.957 | | rawRatio | 0.273 | | effectiveRatio | 0.261 | |
| 77.72% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1122 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slightly" | | 1 | "very" | | 2 | "perfectly" | | 3 | "quickly" | | 4 | "really" |
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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) | |
| 91.09% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1122 | | totalAiIsms | 2 | | found | | | highlights | | |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 52 | | matches | (empty) | |
| 87.91% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 52 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 63 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 67 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 7 | | totalWords | 1130 | | ratio | 0.006 | | matches | | 0 | "what do you make of this, Harlow?" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 45 | | wordCount | 952 | | uniqueNames | 17 | | maxNameDensity | 1.79 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Harlow | 2 | | Quinn | 17 | | Pratt | 1 | | Street | 2 | | Camden | 2 | | Priya | 1 | | Chandra | 8 | | Bovril | 1 | | Salt | 1 | | Bermondsey | 1 | | Morris | 3 | | Sergeant | 1 | | High | 1 | | Guilty | 1 | | Eva | 1 | | Kowalski | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Priya" | | 3 | "Chandra" | | 4 | "Morris" | | 5 | "Sergeant" | | 6 | "Eva" | | 7 | "Kowalski" |
| | places | | 0 | "Pratt" | | 1 | "Street" | | 2 | "Camden" | | 3 | "Bermondsey" | | 4 | "High" |
| | globalScore | 0.607 | | windowScore | 0.5 | |
| 25.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 40 | | glossingSentenceCount | 2 | | matches | | 0 | "not quite a smile" | | 1 | "quite mud and wasn't quite oil" | | 2 | "quite oil" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.885 | | wordCount | 1130 | | matches | | 0 | "not the powder itself but the tile beside it" |
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| 60.85% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 63 | | matches | | 0 | "lines that she" | | 1 | "spoke that the" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 43.46 | | std | 32.77 | | cv | 0.754 | | sampleLengths | | 0 | 61 | | 1 | 74 | | 2 | 38 | | 3 | 13 | | 4 | 61 | | 5 | 75 | | 6 | 36 | | 7 | 2 | | 8 | 94 | | 9 | 125 | | 10 | 73 | | 11 | 54 | | 12 | 1 | | 13 | 3 | | 14 | 59 | | 15 | 6 | | 16 | 54 | | 17 | 71 | | 18 | 20 | | 19 | 60 | | 20 | 7 | | 21 | 49 | | 22 | 1 | | 23 | 3 | | 24 | 66 | | 25 | 24 |
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| 64.78% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 52 | | matches | | 0 | "been disturbed" | | 1 | "been sealed" | | 2 | "been arranged " | | 3 | "been caught" | | 4 | "being caught" | | 5 | "been tucked" | | 6 | "being spoken" |
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| 76.54% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 162 | | matches | | 0 | "was dying" | | 1 | "weren't looking" | | 2 | "was already moving" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 63 | | ratio | 0.079 | | matches | | 0 | "Abandoned Tube stations didn't get 999 calls at that hour unless someone was dying or dead, and the dispatcher's voice had carried that particular flatness cops learned to recognize — the sound of someone reading from a script because the truth didn't fit in their mouth." | | 1 | "She led the way down the platform, past rusted advertisement frames still holding scraps of posters from decades gone — a cigarette brand that hadn't existed in Quinn's lifetime, half a smiling face selling something called Bovril." | | 2 | "A man, mid-forties by the look of the hands, though his face had been arranged — that was the only word for it — into something that made Quinn's stomach fold in on itself." | | 3 | "Three years ago, in a basement in Bermondsey, with DS Morris standing beside her asking her the same question he always asked — *what do you make of this, Harlow?* — and then, six hours later, not being anywhere at all." | | 4 | "Her hand drifted to her ear, tucking hair that had already been tucked, and Quinn filed the gesture away the way she filed everything — a tell, a crack in composure that meant more than the words being spoken over it." |
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| 89.35% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 949 | | adjectiveStacks | 1 | | stackExamples | | 0 | "illuminating faint white lines" |
| | adverbCount | 43 | | adverbRatio | 0.045310853530031614 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.015806111696522657 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 63 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 63 | | mean | 17.94 | | std | 14.4 | | cv | 0.803 | | sampleLengths | | 0 | 15 | | 1 | 46 | | 2 | 40 | | 3 | 9 | | 4 | 18 | | 5 | 7 | | 6 | 31 | | 7 | 7 | | 8 | 13 | | 9 | 7 | | 10 | 37 | | 11 | 17 | | 12 | 18 | | 13 | 34 | | 14 | 2 | | 15 | 1 | | 16 | 20 | | 17 | 13 | | 18 | 23 | | 19 | 2 | | 20 | 52 | | 21 | 42 | | 22 | 24 | | 23 | 2 | | 24 | 18 | | 25 | 7 | | 26 | 41 | | 27 | 2 | | 28 | 2 | | 29 | 29 | | 30 | 10 | | 31 | 16 | | 32 | 14 | | 33 | 33 | | 34 | 27 | | 35 | 4 | | 36 | 2 | | 37 | 21 | | 38 | 1 | | 39 | 3 | | 40 | 16 | | 41 | 17 | | 42 | 26 | | 43 | 6 | | 44 | 4 | | 45 | 38 | | 46 | 12 | | 47 | 26 | | 48 | 29 | | 49 | 16 |
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| 88.89% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.5714285714285714 | | totalSentences | 63 | | uniqueOpeners | 36 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 44 | | matches | | 0 | "Unofficially, half of Camden knew" | | 1 | "Instead she stood, sweeping her" |
| | ratio | 0.045 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 10 | | totalSentences | 44 | | matches | | 0 | "She led the way down" | | 1 | "She'd seen a pattern like" | | 2 | "She had spent three years" | | 3 | "She had let that story" | | 4 | "she said aloud, and touched" | | 5 | "Her face didn't change, and" | | 6 | "It was there for Quinn," | | 7 | "She had learned not to" | | 8 | "She held perfectly still, the" | | 9 | "Her hand drifted to her" |
| | ratio | 0.227 | |
| 62.27% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 35 | | totalSentences | 44 | | matches | | 0 | "The call had come in" | | 1 | "Detective Harlow Quinn ducked under" | | 2 | "The station had been sealed" | | 3 | "This was not the residue" | | 4 | "DS Priya Chandra met her" | | 5 | "Chandra's mouth twitched, not quite" | | 6 | "She led the way down" | | 7 | "The tiles underfoot were slick" | | 8 | "The body was near the" | | 9 | "A man, mid-forties by the" | | 10 | "Eyes open, mouth slightly parted," | | 11 | "Chandra said, crouching beside the" | | 12 | "Chandra straightened, and her torch" | | 13 | "Quinn repeated, and crouched where" | | 14 | "She'd seen a pattern like" | | 15 | "She had spent three years" | | 16 | "That was the story the" | | 17 | "Detective Sergeant Morris, under stress," | | 18 | "She had let that story" | | 19 | "she said aloud, and touched" |
| | ratio | 0.795 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 44 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 7 | | matches | | 0 | "Detective Harlow Quinn ducked under the police tape strung across the boarded entrance on Pratt Street, the beam of her torch cutting through dust that hung in …" | | 1 | "She led the way down the platform, past rusted advertisement frames still holding scraps of posters from decades gone — a cigarette brand that hadn't existed in…" | | 2 | "She had let that story stand because the alternative was unspeakable, and because nobody wanted to hear a decorated detective start talking about symbols that m…" | | 3 | "Warmer than that, like it had been sitting under a summer sun that didn't exist sixty feet below Camden High Street." | | 4 | "She had learned not to argue about the small perceptual gaps that kept opening between what she saw and what everyone else saw, because arguing led to concerned…" | | 5 | "Her hand drifted to her ear, tucking hair that had already been tucked, and Quinn filed the gesture away the way she filed everything — a tell, a crack in compo…" | | 6 | "Quinn held the torch steady on her a moment longer, on the satchel of books, on the eyes that kept sliding past Quinn's shoulder toward the chalk circle and the…" |
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| 79.55% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 1 | | matches | | 0 | "Quinn said quietly, without looking away from Eva Kowalski," |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | 0 | "Quinn repeated (repeat)" |
| | dialogueSentences | 23 | | tagDensity | 0.304 | | leniency | 0.609 | | rawRatio | 0.143 | | effectiveRatio | 0.087 | |