| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 2 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.63% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1863 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 57.06% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1863 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "streaming" | | 1 | "calculated" | | 2 | "pumping" | | 3 | "footsteps" | | 4 | "flickered" | | 5 | "stomach" | | 6 | "lurch" | | 7 | "velvet" | | 8 | "standard" | | 9 | "familiar" | | 10 | "weight" | | 11 | "rhythmic" | | 12 | "navigated" | | 13 | "echoed" |
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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 | 140 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 140 | | filterMatches | | | hedgeMatches | | 0 | "appeared to" | | 1 | "seemed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 141 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 62 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1884 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 70 | | wordCount | 1859 | | uniqueNames | 28 | | maxNameDensity | 0.91 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Morris" | | discoveredNames | | Soho | 1 | | Quinn | 17 | | Tomás | 1 | | Herrera | 13 | | Dean | 1 | | Street | 1 | | Raven | 2 | | Nest | 2 | | Peugeot | 1 | | Met | 1 | | London | 2 | | Underground | 1 | | Tube | 3 | | Mornington | 1 | | Crescent | 1 | | Morris | 8 | | Rotherhithe | 1 | | Victorian | 2 | | Moroccan | 1 | | Camden | 2 | | Town | 1 | | Londoners | 1 | | Saint | 1 | | Christopher | 1 | | Glock | 1 | | Crown | 1 | | Prosecution | 1 | | Service | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Tomás" | | 2 | "Herrera" | | 3 | "Raven" | | 4 | "Morris" | | 5 | "Saint" | | 6 | "Christopher" | | 7 | "Service" |
| | places | | 0 | "Soho" | | 1 | "Dean" | | 2 | "Street" | | 3 | "Met" | | 4 | "London" | | 5 | "Mornington" | | 6 | "Crescent" | | 7 | "Rotherhithe" | | 8 | "Camden" | | 9 | "Town" |
| | globalScore | 1 | | windowScore | 0.667 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 86 | | glossingSentenceCount | 6 | | matches | | 0 | "looked like a cross between a Moroccan so" | | 1 | "not quite blue, not quite violet, shifting in ways that made her eyes water if she looked too long" | | 2 | "not quite violet, shifting in ways that made her eyes water if she looked too long" | | 3 | "quite hold onto their meaning" | | 4 | "looked like bottled smoke arranged by col" | | 5 | "smelled like burnt sugar and whispered whe" | | 6 | "not-quite violet lanterns, and it curved away to the left" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.531 | | wordCount | 1884 | | matches | | 0 | "not from any decision but from the sheer disorientation of what she was seeing" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 141 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 47.1 | | std | 32.95 | | cv | 0.7 | | sampleLengths | | 0 | 65 | | 1 | 26 | | 2 | 119 | | 3 | 63 | | 4 | 10 | | 5 | 64 | | 6 | 53 | | 7 | 14 | | 8 | 50 | | 9 | 42 | | 10 | 53 | | 11 | 49 | | 12 | 96 | | 13 | 49 | | 14 | 6 | | 15 | 7 | | 16 | 68 | | 17 | 10 | | 18 | 21 | | 19 | 126 | | 20 | 16 | | 21 | 115 | | 22 | 13 | | 23 | 3 | | 24 | 85 | | 25 | 37 | | 26 | 63 | | 27 | 79 | | 28 | 67 | | 29 | 6 | | 30 | 23 | | 31 | 103 | | 32 | 51 | | 33 | 36 | | 34 | 39 | | 35 | 13 | | 36 | 59 | | 37 | 33 | | 38 | 32 | | 39 | 20 |
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| 85.21% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 8 | | totalSentences | 140 | | matches | | 0 | "were tiled " | | 1 | "was riddled" | | 2 | "was concerned" | | 3 | "were gone" | | 4 | "been transformed" | | 5 | "was connected" | | 6 | "being caught" | | 7 | "being poured" |
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| 91.42% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 307 | | matches | | 0 | "was deciding" | | 1 | "were missing" | | 2 | "was seeing" | | 3 | "was carrying" | | 4 | "wasn't writing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 21 | | semicolonCount | 0 | | flaggedSentences | 17 | | totalSentences | 141 | | ratio | 0.121 | | matches | | 0 | "Herrera's face had come up in three separate inquiries — two missing persons cases and a narcotics investigation that had gone sideways when the seized substances couldn't be identified by any lab in the Met's network." | | 1 | "She blinked it away and spotted him — Herrera, thirty meters ahead now, glancing back over his shoulder." | | 2 | "They were tiled — white ceramic, the old London Underground style, scalloped and institutional." | | 3 | "But London was riddled with ghost stations, sealed platforms, forgotten tunnels — the city's underground skeleton, vast and unmapped." | | 4 | "The screen showed the time — 11:47 PM — and nothing else." | | 5 | "Somewhere below, she could hear footsteps, rapid and receding, and something else — a low hum, almost subliminal, like the vibration of a massive engine buried deep in the earth." | | 6 | "Three flights, then four, the fluorescent tubes giving way to something warmer and more erratic — oil lamps, she realized, mounted in iron brackets on the tunnel walls." | | 7 | "Stalls lined both sides of the platform, draped in fabrics of deep crimson and indigo, hung with lanterns that burned with flames in colors she couldn't name — not quite blue, not quite violet, shifting in ways that made her eyes water if she looked too long." | | 8 | "Some of the people moving between the stalls looked perfectly ordinary — Londoners in coats and jeans, haggling over goods she couldn't identify from this distance." | | 9 | "A child — or something shaped like a child — carrying a cage that contained a small, luminous bird that sang in harmonics that pressed against her sinuses." | | 10 | "Quinn saw him reach beneath his shirt and pull out something — his Saint Christopher medallion, she recognized it from surveillance photos — and show it to the vendor, who nodded and gestured toward one of the side tunnels." | | 11 | "She had no jurisdiction here — she wasn't even sure here existed in any way that the Crown Prosecution Service would recognize." | | 12 | "Whatever this place was — drug market, arms bazaar, something she didn't have a category for — Herrera moved through it like a man with standing." | | 13 | "She thought about the missing persons — both of them last seen in Camden, both of them connected to the same network of unlicensed medical practitioners that Herrera's name kept surfacing in." | | 14 | "Bodies pressed close, and the noise was extraordinary — a dozen languages she recognized and half a dozen she didn't, layered over the chiming of small bells, the hiss of something being poured from vessel to vessel, the low rhythmic chanting from a stall where an old man sat cross-legged on a rug that hovered an inch above the platform floor." | | 15 | "She thought of the look on Morris's wife's face at the memorial service, the way grief and confusion had blended into something worse than either — the not knowing, the open wound that refused to scar." | | 16 | "She checked the worn leather watch on her wrist — a reflex, a ritual, a promise she'd made to a partner who'd walked into the dark and never come back." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1846 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 54 | | adverbRatio | 0.02925243770314193 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.007583965330444204 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 141 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 141 | | mean | 13.36 | | std | 12.09 | | cv | 0.905 | | sampleLengths | | 0 | 16 | | 1 | 24 | | 2 | 25 | | 3 | 6 | | 4 | 20 | | 5 | 3 | | 6 | 26 | | 7 | 3 | | 8 | 31 | | 9 | 36 | | 10 | 20 | | 11 | 4 | | 12 | 19 | | 13 | 18 | | 14 | 15 | | 15 | 2 | | 16 | 1 | | 17 | 4 | | 18 | 10 | | 19 | 3 | | 20 | 26 | | 21 | 23 | | 22 | 2 | | 23 | 7 | | 24 | 3 | | 25 | 10 | | 26 | 24 | | 27 | 5 | | 28 | 14 | | 29 | 10 | | 30 | 1 | | 31 | 1 | | 32 | 2 | | 33 | 16 | | 34 | 14 | | 35 | 6 | | 36 | 14 | | 37 | 4 | | 38 | 7 | | 39 | 12 | | 40 | 19 | | 41 | 5 | | 42 | 2 | | 43 | 3 | | 44 | 6 | | 45 | 1 | | 46 | 9 | | 47 | 2 | | 48 | 12 | | 49 | 13 |
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| 54.85% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.3971631205673759 | | totalSentences | 141 | | uniqueOpeners | 56 | |
| 56.02% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 119 | | matches | | 0 | "Somewhere below, she could hear" | | 1 | "Then she walked into the" |
| | ratio | 0.017 | |
| 92.27% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 119 | | matches | | 0 | "She keyed her radio without" | | 1 | "She'd been watching the place" | | 2 | "She blinked it away and" | | 3 | "He was deciding something." | | 4 | "He cut right, vanishing into" | | 5 | "She was forty-one and in" | | 6 | "She pushed through it, focusing" | | 7 | "She stopped at the threshold," | | 8 | "They were tiled — white" | | 9 | "She knew this area." | | 10 | "She turned it off and" | | 11 | "She pulled her phone from" | | 12 | "She looked down the staircase." | | 13 | "Her left hand went to" | | 14 | "She'd been wearing this watch" | | 15 | "It would always be open," | | 16 | "She thought about Morris now," | | 17 | "Her weapon hand dropped slightly," | | 18 | "It occupied what had clearly" | | 19 | "She spotted Herrera." |
| | ratio | 0.319 | |
| 60.84% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 95 | | totalSentences | 119 | | matches | | 0 | "The rain came down in" | | 1 | "Harlow Quinn hit the pavement" | | 2 | "She keyed her radio without" | | 3 | "Static answered her." | | 4 | "The radio had been cutting" | | 5 | "The Raven's Nest." | | 6 | "She'd been watching the place" | | 7 | "Herrera's face had come up" | | 8 | "The analysts had called them" | | 9 | "Quinn rounded the corner." | | 10 | "The rain was in her" | | 11 | "She blinked it away and" | | 12 | "He was deciding something." | | 13 | "He cut right, vanishing into" | | 14 | "Quinn's legs burned." | | 15 | "She was forty-one and in" | | 16 | "She pushed through it, focusing" | | 17 | "Feet striking the ground with" | | 18 | "The alley was narrow, flanked" | | 19 | "Kitchen exhaust fans roared overhead," |
| | ratio | 0.798 | |
| 42.02% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 119 | | matches | | 0 | "Even at this distance, through" |
| | ratio | 0.008 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 67 | | technicalSentenceCount | 16 | | matches | | 0 | "Harlow Quinn hit the pavement hard with each stride, her boots slapping through puddles that reflected the city back at her in broken fragments." | | 1 | "She'd been watching the place for two weeks, sitting in a borrowed Peugeot across the street with cold coffee and a telephoto lens, cataloging every face that s…" | | 2 | "Herrera's face had come up in three separate inquiries — two missing persons cases and a narcotics investigation that had gone sideways when the seized substanc…" | | 3 | "Kitchen exhaust fans roared overhead, pumping out steam that mixed with the rain and turned the passage into something that felt tropical and wrong." | | 4 | "The tiles were gone now, replaced by exposed Victorian brickwork, and the air changed, growing warmer, drier, carrying scents that didn't belong underground: ca…" | | 5 | "It occupied what had clearly once been a Tube platform, but it had been transformed into something that looked like a cross between a Moroccan souk and a Victor…" | | 6 | "Stalls lined both sides of the platform, draped in fabrics of deep crimson and indigo, hung with lanterns that burned with flames in colors she couldn't name — …" | | 7 | "The crowd was dense and diverse in ways that made Quinn's trained eye for identification short-circuit." | | 8 | "A child — or something shaped like a child — carrying a cage that contained a small, luminous bird that sang in harmonics that pressed against her sinuses." | | 9 | "Quinn saw him reach beneath his shirt and pull out something — his Saint Christopher medallion, she recognized it from surveillance photos — and show it to the …" | | 10 | "Quinn pressed herself against the nearest wall, tucking into the shadow of a stall that appeared to be selling old books bound in leather that moved subtly unde…" | | 11 | "She was carrying her standard-issue Glock 17 with fifteen rounds and one in the chamber, which felt absurdly inadequate in a place where the laws of physics see…" | | 12 | "Bodies pressed close, and the noise was extraordinary — a dozen languages she recognized and half a dozen she didn't, layered over the chiming of small bells, t…" | | 13 | "Someone jostled her elbow and she spun, hand going to her holstered weapon, but it was just a woman carrying an armful of dried flowers that smelled like burnt …" | | 14 | "She kept Herrera's last known trajectory fixed in her mind and navigated toward the side tunnel, keeping her head down, her sharp jaw set, her brown eyes catalo…" | | 15 | "She thought of the look on Morris's wife's face at the memorial service, the way grief and confusion had blended into something worse than either — the not know…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |