| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 4 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.70% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1163 | | totalAiIsmAdverbs | 1 | | 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) | |
| 87.10% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1163 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "pumping" | | 1 | "stomach" | | 2 | "trembled" |
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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 | 61 | | matches | (empty) | |
| 72.60% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 61 | | 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 | 89 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 34 | | totalWords | 1156 | | ratio | 0.029 | | matches | | 0 | "undetermined" | | 1 | "anomalous" | | 2 | "NO ENTRY — TFL MAINTENANCE" | | 3 | "Wrong. Wrong. This is wrong. This is not a scene you understand. You do not have jurisdiction over this. You do not have a name for this." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 1148 | | uniqueNames | 14 | | maxNameDensity | 0.7 | | worstName | "Quinn" | | maxWindowNameDensity | 1 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | Harlow | 1 | | Quinn | 8 | | Chalk | 1 | | Farm | 1 | | Road | 1 | | Raven | 1 | | Nest | 1 | | Morris | 4 | | Tube | 2 | | Deptford | 1 | | Metropolitan | 1 | | Police | 1 | | Herrera | 1 |
| | persons | | 0 | "Camden" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Morris" | | 4 | "Police" | | 5 | "Herrera" |
| | places | | 0 | "Chalk" | | 1 | "Farm" | | 2 | "Road" | | 3 | "Raven" | | 4 | "Deptford" |
| | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | glossingSentenceCount | 3 | | matches | | 0 | "smelled like limestone and candle smoke an" | | 1 | "blades that seemed to drink the lanternlight rather than reflect it" | | 2 | "felt like falling, that whatever choice" |
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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 | 1156 | | matches | (empty) | |
| 60.85% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 63 | | matches | | 0 | "wearing that face" | | 1 | "falling, that whatever" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 44.46 | | std | 35.92 | | cv | 0.808 | | sampleLengths | | 0 | 48 | | 1 | 97 | | 2 | 12 | | 3 | 8 | | 4 | 106 | | 5 | 67 | | 6 | 62 | | 7 | 38 | | 8 | 76 | | 9 | 9 | | 10 | 12 | | 11 | 90 | | 12 | 6 | | 13 | 14 | | 14 | 140 | | 15 | 22 | | 16 | 39 | | 17 | 27 | | 18 | 85 | | 19 | 25 | | 20 | 19 | | 21 | 17 | | 22 | 9 | | 23 | 51 | | 24 | 63 | | 25 | 14 |
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| 99.51% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 61 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 195 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 2 | | flaggedSentences | 8 | | totalSentences | 63 | | ratio | 0.127 | | matches | | 0 | "She'd clocked him outside the Raven's Nest twenty minutes earlier—thin, jittery, a face she recognized from a grainy CCTV still tied to three missing persons cases that had gone nowhere in eighteen months." | | 1 | "But she thought of Morris—three years gone now, and still she saw his face some nights, slack and grey on a mortuary table, the coroner's report full of words like *undetermined* and *anomalous*." | | 2 | "Ahead, he wrenched open a chain-link gate marked **NO ENTRY — TFL MAINTENANCE**, its padlock hanging open, snapped clean through, and vanished down a set of concrete stairs that dropped into the earth like the throat of something patient and old." | | 3 | "The tiled walls gave way to old enamel signage, faded beyond reading, and then to something else entirely—hand-painted symbols, spirals and sigils she didn't recognize, done in a rust-red pigment that made her stomach turn when she let herself think too hard about what it might be." | | 4 | "Stalls built from packing crates and old carriage doors sold things she couldn't name—jars of something that moved on its own, bundled herbs that smelled of ash and rot, knives with blades that seemed to drink the lanternlight rather than reflect it." | | 5 | "The crowd was a wrongness she felt in her teeth before her eyes could catalogue it: a woman with skin like tree bark haggling over a vial of black liquid; a hunched figure whose shadow moved half a second behind him; a stall keeper with too many joints in his fingers, counting coins that clinked like glass and rang like bells." | | 6 | "But she thought of Morris's face again, that terrible almost-recognition, and she thought of the case files stacked in her flat, red-stringed and unsolved, and she thought—unbidden, unwelcome—of a man named Herrera she'd once questioned in connection with a stabbing victim who'd walked out of hospital against all medical sense forty minutes after arriving with wounds that should have killed him, and how the paramedic had looked at her with such calm, practiced pity, like she was a child asking why the sky was blue." | | 7 | "Her suspect reached the tunnel mouth, glanced back once—and she saw, in that half-second of green lantern light, that his eyes were not the eyes of the man in the CCTV photograph at all." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1162 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 44 | | adverbRatio | 0.0378657487091222 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0034423407917383822 | |
| 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 | 18.35 | | std | 17.79 | | cv | 0.969 | | sampleLengths | | 0 | 18 | | 1 | 30 | | 2 | 3 | | 3 | 31 | | 4 | 33 | | 5 | 30 | | 6 | 12 | | 7 | 3 | | 8 | 5 | | 9 | 3 | | 10 | 34 | | 11 | 5 | | 12 | 11 | | 13 | 33 | | 14 | 20 | | 15 | 26 | | 16 | 41 | | 17 | 12 | | 18 | 29 | | 19 | 21 | | 20 | 11 | | 21 | 3 | | 22 | 12 | | 23 | 4 | | 24 | 8 | | 25 | 4 | | 26 | 68 | | 27 | 3 | | 28 | 1 | | 29 | 9 | | 30 | 12 | | 31 | 19 | | 32 | 47 | | 33 | 24 | | 34 | 6 | | 35 | 14 | | 36 | 4 | | 37 | 33 | | 38 | 42 | | 39 | 61 | | 40 | 22 | | 41 | 16 | | 42 | 23 | | 43 | 1 | | 44 | 1 | | 45 | 3 | | 46 | 7 | | 47 | 7 | | 48 | 8 | | 49 | 85 |
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| 73.02% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.5238095238095238 | | totalSentences | 63 | | uniqueOpeners | 33 | |
| 57.47% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 58 | | matches | | | ratio | 0.017 | |
| 95.86% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 58 | | matches | | 0 | "He was fast." | | 1 | "She'd clocked him outside the" | | 2 | "Her voice cracked against the" | | 3 | "He didn't stop." | | 4 | "He never even looked back." | | 5 | "She should call it in." | | 6 | "She'd promised herself she wouldn't" | | 7 | "She slowed at the gate," | | 8 | "It smelled like limestone and" | | 9 | "She was not going to" | | 10 | "It was a market." | | 11 | "Her suspect was already thirty" | | 12 | "You do not have jurisdiction" | | 13 | "You do not have a" | | 14 | "She had spent three years" | | 15 | "Her suspect reached the tunnel" | | 16 | "They were something else." | | 17 | "She took a step forward." |
| | ratio | 0.31 | |
| 63.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 46 | | totalSentences | 58 | | matches | | 0 | "Rain came down in sheets" | | 1 | "Detective Harlow Quinn's boots slapped" | | 2 | "He was fast." | | 3 | "She'd clocked him outside the" | | 4 | "The moment he'd seen her" | | 5 | "Her voice cracked against the" | | 6 | "He didn't stop." | | 7 | "He never even looked back." | | 8 | "Quinn's lungs burned." | | 9 | "She should call it in." | | 10 | "She'd promised herself she wouldn't" | | 11 | "The suspect cut left, down" | | 12 | "She slowed at the gate," | | 13 | "The stairwell below was unlit," | | 14 | "It smelled like limestone and" | | 15 | "Every procedural bone in her" | | 16 | "That was the manual." | | 17 | "That was eighteen years of" | | 18 | "Morris had gone in alone" | | 19 | "She was not going to" |
| | ratio | 0.793 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 58 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 11 | | matches | | 0 | "Faster than a man his size had any right to be, weaving between shuttered market stalls and the skeletal frames of scaffolding, his coat snapping like a flag in…" | | 1 | "She'd clocked him outside the Raven's Nest twenty minutes earlier—thin, jittery, a face she recognized from a grainy CCTV still tied to three missing persons ca…" | | 2 | "Eighteen years on the force had put a lot of miles on her knees, but training and stubbornness kept her legs pumping, kept her hand from drifting to the radio c…" | | 3 | "Ahead, he wrenched open a chain-link gate marked **NO ENTRY — TFL MAINTENANCE**, its padlock hanging open, snapped clean through, and vanished down a set of con…" | | 4 | "The tiled walls gave way to old enamel signage, faded beyond reading, and then to something else entirely—hand-painted symbols, spirals and sigils she didn't re…" | | 5 | "Stalls built from packing crates and old carriage doors sold things she couldn't name—jars of something that moved on its own, bundled herbs that smelled of ash…" | | 6 | "The crowd was a wrongness she felt in her teeth before her eyes could catalogue it: a woman with skin like tree bark haggling over a vial of black liquid; a hun…" | | 7 | "Every instinct that had kept her alive through eighteen years of Metropolitan Police work screamed the same word at her, over and over." | | 8 | "But she thought of Morris's face again, that terrible almost-recognition, and she thought of the case files stacked in her flat, red-stringed and unsolved, and …" | | 9 | "Something that had been wearing that face the way she wore her coat." | | 10 | "Then he was gone into the dark, and the leather-and-bone curtain fell still behind him, and Quinn stood alone at the mouth of the stairs, rain dripping from her…" |
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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 | 4 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |