| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 82.47% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1426 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "utterly" | | 1 | "sweetly" | | 2 | "slowly" | | 3 | "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) | |
| 40.39% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1426 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "weight" | | 1 | "scanning" | | 2 | "familiar" | | 3 | "footsteps" | | 4 | "echoed" | | 5 | "vibrated" | | 6 | "gleaming" | | 7 | "perfect" | | 8 | "flickered" | | 9 | "electric" | | 10 | "constructed" | | 11 | "velvet" | | 12 | "clandestine" | | 13 | "depths" |
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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 | 100 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 100 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "happened to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 100 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1408 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 56 | | wordCount | 1389 | | uniqueNames | 31 | | maxNameDensity | 0.72 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 10 | | Greek | 1 | | Street | 1 | | Herrera | 8 | | Seville | 1 | | London | 3 | | Tottenham | 1 | | Court | 1 | | Road | 1 | | Friday | 1 | | November | 1 | | Cambridge | 1 | | Circus | 1 | | Glock | 4 | | Camden | 2 | | Regent | 1 | | Canal | 1 | | Victorian | 1 | | Tube | 1 | | Johnston | 1 | | Veil | 1 | | Market | 1 | | Morris | 4 | | Banned | 1 | | Saint | 1 | | Christopher | 1 | | Raven | 1 | | Nest | 1 | | Metropolitan | 1 | | Police | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Herrera" | | 3 | "Regent" | | 4 | "Tube" | | 5 | "Johnston" | | 6 | "Morris" | | 7 | "Saint" | | 8 | "Christopher" | | 9 | "Nest" | | 10 | "Police" |
| | places | | 0 | "Greek" | | 1 | "Street" | | 2 | "Seville" | | 3 | "London" | | 4 | "Tottenham" | | 5 | "Court" | | 6 | "Road" | | 7 | "Cambridge" | | 8 | "Camden" | | 9 | "Victorian" | | 10 | "Banned" | | 11 | "Raven" |
| | globalScore | 1 | | windowScore | 1 | |
| 80.56% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 2 | | matches | | 0 | "parchment that seemed to smolder after the exchange" | | 1 | "as if savoring the inevitability of it, he lowered his hand and stepped aside" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.131 | | wordCount | 1408 | | matches | | 0 | "not yet, but his pace carried the tight urgency of a man with an appointm" | | 1 | "not with currency but with whispered breath" | | 2 | "not as currency, but as a declaration of intent, a flag planted in alien soil" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 100 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 23 | | mean | 61.22 | | std | 44.1 | | cv | 0.72 | | sampleLengths | | 0 | 101 | | 1 | 4 | | 2 | 161 | | 3 | 18 | | 4 | 118 | | 5 | 125 | | 6 | 80 | | 7 | 27 | | 8 | 91 | | 9 | 13 | | 10 | 66 | | 11 | 3 | | 12 | 65 | | 13 | 116 | | 14 | 11 | | 15 | 69 | | 16 | 81 | | 17 | 34 | | 18 | 16 | | 19 | 75 | | 20 | 21 | | 21 | 88 | | 22 | 25 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 100 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 219 | | matches | | 0 | "was staring" | | 1 | "was vanishing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 18 | | semicolonCount | 0 | | flaggedSentences | 13 | | totalSentences | 100 | | ratio | 0.13 | | matches | | 0 | "The distinctive green neon sign two doors down—THE RAVEN'S NEST—hummed against the wet brick, painting the puddles a sickly, mercurial emerald." | | 1 | "For a heartbeat, the cracked door showed her the interior behind him—old maps and black-and-white photographs covering the walls, the dim amber glow of the hidden back room beyond." | | 2 | "Quinn recognized the scar on his left forearm even at twenty yards—a pale ridge she'd catalogued weeks ago from a surveillance photograph, souvenir from a knife attack in a Seville alley before he'd ever set foot in London." | | 3 | "Soho's Friday night blur smeared into ribbons of colored light—red double-decker tail lights bleeding across asphalt, blue pub signs trembling in windshields, sodium orange spilling from streetlamps into the canals forming between paving stones." | | 4 | "The alley terminated in a Victorian brick wall—dead end—but Herrera had vanished." | | 5 | "The air beneath London's skin smelled of limestone, rust, and something else—something sweetly corrupt, like lilies left too long in a funeral vase." | | 6 | "Decommissioned infrastructure, retired before she'd ever pinned on her detective badge, but the signs on the curved tiled walls—CAMDEN TOWN, perfect in the familiar Johnston typeface—confirmed her bearings." | | 7 | "She'd heard the whispers during her eighteen years—heard them most clearly in those final weeks with DS Morris, before his unexplained death three years ago." | | 8 | "The smell assaulted her—ozone, old blood, and spices she couldn't name." | | 9 | "Between thumb and forefinger, a bone token gleamed yellow and porous—the entry requirement." | | 10 | "Behind her, London rumbled—active trains on distant lines, perhaps, or the city's own indifferent heartbeat, or something older." | | 11 | "Her investigation—the clique, the unauthorized treatments, the criminal threads she'd been pulling for six months—all waited on the other side." | | 12 | "The candle flames nearest her bowed as she passed, wax hissing, and somewhere in the depths of the market a brass bell tolled—once, twice—a signal that might mean welcome or warning." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 966 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.024844720496894408 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.005175983436853002 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 100 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 100 | | mean | 14.08 | | std | 9.99 | | cv | 0.709 | | sampleLengths | | 0 | 26 | | 1 | 21 | | 2 | 4 | | 3 | 20 | | 4 | 30 | | 5 | 4 | | 6 | 16 | | 7 | 29 | | 8 | 12 | | 9 | 30 | | 10 | 38 | | 11 | 3 | | 12 | 6 | | 13 | 27 | | 14 | 18 | | 15 | 6 | | 16 | 34 | | 17 | 21 | | 18 | 22 | | 19 | 7 | | 20 | 28 | | 21 | 6 | | 22 | 1 | | 23 | 30 | | 24 | 13 | | 25 | 4 | | 26 | 13 | | 27 | 3 | | 28 | 3 | | 29 | 26 | | 30 | 5 | | 31 | 21 | | 32 | 23 | | 33 | 18 | | 34 | 12 | | 35 | 16 | | 36 | 11 | | 37 | 11 | | 38 | 1 | | 39 | 15 | | 40 | 6 | | 41 | 12 | | 42 | 23 | | 43 | 18 | | 44 | 28 | | 45 | 4 | | 46 | 4 | | 47 | 2 | | 48 | 6 | | 49 | 1 |
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| 67.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.47 | | totalSentences | 100 | | uniqueOpeners | 47 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 91 | | matches | | 0 | "Then the door opened." | | 1 | "Then the door latched, and" | | 2 | "Too orange, too intimate, too" | | 3 | "Then, slowly, as if savoring" |
| | ratio | 0.044 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 91 | | matches | | 0 | "She checked her watch." | | 1 | "He moved like prey that" | | 2 | "She gave him three seconds" | | 3 | "Her brown eyes never left" | | 4 | "She melted into the recessed" | | 5 | "His warm brown eyes swept" | | 6 | "She counted to five." | | 7 | "He cut left down a" | | 8 | "She knelt, ignoring the icy" | | 9 | "She was beneath Camden." | | 10 | "It opened into a vaulted" | | 11 | "She'd heard the whispers during" | | 12 | "She looked down at her" | | 13 | "Her investigation—the clique, the unauthorized" | | 14 | "They weren't human." | | 15 | "She reached into her inside" | | 16 | "She held it up between" | | 17 | "Her voice didn't shake." | | 18 | "She didn't know which." | | 19 | "She pulled her coat tighter," |
| | ratio | 0.242 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 91 | | matches | | 0 | "Detective Harlow Quinn stood beneath" | | 1 | "The distinctive green neon sign" | | 2 | "She checked her watch." | | 3 | "The worn leather strap on" | | 4 | "Tomás Herrera stepped out into" | | 5 | "Olive skin, dark curls cropped" | | 6 | "Quinn recognized the scar on" | | 7 | "He moved like prey that" | | 8 | "She gave him three seconds" | | 9 | "The rain thickened into a" | | 10 | "Soho's Friday night blur smeared" | | 11 | "Herrera didn't run, not yet," | | 12 | "Quinn kept her distance, her" | | 13 | "Her brown eyes never left" | | 14 | "She melted into the recessed" | | 15 | "His warm brown eyes swept" | | 16 | "She counted to five." | | 17 | "The streets narrowed." | | 18 | "The tourists evaporated." | | 19 | "The rain became a solid" |
| | ratio | 0.714 | |
| 54.95% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 91 | | matches | | 0 | "Now she was staring at" |
| | ratio | 0.011 | |
| 46.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 59 | | technicalSentenceCount | 8 | | matches | | 0 | "Olive skin, dark curls cropped short, warm brown eyes scanning the street with the practiced paranoia of a man who'd lost his license and his innocence in the s…" | | 1 | "He moved like prey that didn't know it was already in the crosshairs, cutting east toward Tottenham Court Road with a haste that belied his casual stride." | | 2 | "Eighteen years of decorated service had taught her the private rhythm of pursuit: loose shoulders, heel-to-toe stride that didn't slap water, breathing controll…" | | 3 | "The rain became a solid curtain, hammering the corrugated iron of closed market stalls and turning the Regent's Canal into a black mirror that reflected nothing…" | | 4 | "Stalls constructed from warped salvage and burgundy velvet crowded between ancient iron columns that held up the city's weight, merchandise that would vanish by…" | | 5 | "Information changed hands not with currency but with whispered breath and carefully folded parchment that seemed to smolder after the exchange." | | 6 | "The things that had swallowed Morris whole and left nothing but a polished coffin, a posthumous commendation, and a grief that still woke her at three in the mo…" | | 7 | "The candle flames nearest her bowed as she passed, wax hissing, and somewhere in the depths of the market a brass bell tolled—once, twice—a signal that might me…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |