| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said quietly [quietly]" |
| | dialogueSentences | 25 | | tagDensity | 0.56 | | leniency | 1 | | rawRatio | 0.071 | | effectiveRatio | 0.071 | |
| 95.24% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2101 | | 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) | |
| 71.44% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2101 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "database" | | 1 | "methodical" | | 2 | "warmth" | | 3 | "pulse" | | 4 | "footsteps" | | 5 | "echoed" | | 6 | "velvet" | | 7 | "shimmered" | | 8 | "tinge" | | 9 | "flickered" | | 10 | "could feel" |
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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 | 165 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 165 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 177 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 52 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2087 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 1840 | | uniqueNames | 19 | | maxNameDensity | 0.82 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Thames | 1 | | Harlow | 1 | | Quinn | 15 | | November | 1 | | Charing | 1 | | Cross | 1 | | Piccadilly | 1 | | Underground | 2 | | Camden | 1 | | Town | 1 | | English | 1 | | Tube | 1 | | Morris | 6 | | Bakerloo | 1 | | Northern | 1 | | Line | 1 | | Spanish | 1 | | Herrera | 3 | | Tomás | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "November" | | 3 | "Piccadilly" | | 4 | "Tube" | | 5 | "Morris" | | 6 | "Line" | | 7 | "Herrera" | | 8 | "Tomás" |
| | places | | 0 | "Thames" | | 1 | "Camden" | | 2 | "Town" |
| | globalScore | 1 | | windowScore | 1 | |
| 59.09% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 110 | | glossingSentenceCount | 4 | | matches | | 0 | "smelled like copper and ozone where the wa" | | 1 | "tasted like metal and damp concrete and t" | | 2 | "velvet that seemed to drink the light around them" | | 3 | "tasted like the moment before a thunderst" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.479 | | wordCount | 2087 | | matches | | 0 | "Not the way he died, but the way he lived" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 177 | | matches | | 0 | "see that the" | | 1 | "did, that the" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 62 | | mean | 33.66 | | std | 24.98 | | cv | 0.742 | | sampleLengths | | 0 | 54 | | 1 | 9 | | 2 | 69 | | 3 | 32 | | 4 | 57 | | 5 | 11 | | 6 | 58 | | 7 | 7 | | 8 | 53 | | 9 | 8 | | 10 | 40 | | 11 | 36 | | 12 | 89 | | 13 | 79 | | 14 | 27 | | 15 | 36 | | 16 | 40 | | 17 | 12 | | 18 | 1 | | 19 | 59 | | 20 | 47 | | 21 | 22 | | 22 | 32 | | 23 | 50 | | 24 | 4 | | 25 | 3 | | 26 | 66 | | 27 | 25 | | 28 | 66 | | 29 | 10 | | 30 | 86 | | 31 | 82 | | 32 | 54 | | 33 | 91 | | 34 | 14 | | 35 | 20 | | 36 | 57 | | 37 | 4 | | 38 | 50 | | 39 | 5 | | 40 | 11 | | 41 | 8 | | 42 | 41 | | 43 | 12 | | 44 | 10 | | 45 | 4 | | 46 | 54 | | 47 | 5 | | 48 | 36 | | 49 | 44 |
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| 90.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 7 | | totalSentences | 165 | | matches | | 0 | "was fogged" | | 1 | "was sealed" | | 2 | "was supposed" | | 3 | "been carved" | | 4 | "was replaced" | | 5 | "been decommissioned" | | 6 | "were used" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 335 | | matches | | 0 | "was only hinting" | | 1 | "was talking" | | 2 | "was shaking" | | 3 | "was talking" | | 4 | "was still bleeding" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 177 | | ratio | 0.062 | | matches | | 0 | "The suspect—young, fast, dressed in a coat too thin for November—had bolted from the alley on Charing Cross where they'd cornered him." | | 1 | "She saw him stop at the far end of the platform, near a maintenance corridor most passengers wouldn't even notice—a rusted door with a sign that said AUTHORISED PERSONNEL." | | 2 | "Her badge was still in her hand, and she caught her own reflection in its surface—the sharp jaw, the cropped salt-and-pepper hair plastered dark against her forehead, the brown eyes that had stopped looking surprised at anything a long time ago." | | 3 | "Something in the sensation told her that—a warmth that spread beyond what a simple wound should produce, a pulse that didn't match a human heart." | | 4 | "The light from the platform faded and was replaced by something else—a dim, shifting glow that came from no visible source, the color of a bruise just beginning to heal." | | 5 | "The space was vast—a cathedral carved from the bones of an Underground station that had been decommissioned and then, somehow, unmade." | | 6 | "He was talking to someone—a man with short curly dark hair and olive skin, wearing a paramedic's green jacket stained at the cuffs." | | 7 | "\"—don't understand,\" the suspect was saying." | | 8 | "His eyes—warm brown, alert—flickered to her badge, then her holster, then her face." | | 9 | "A man who looked at police presence the way a librarian looked at a overdue fine—troublesome, but manageable." | | 10 | "The man—Herrera, she would learn later, Tomás Herrera, the one whose name appeared in Morris's notebook in handwriting that wasn't Morris's—picked up the silver disc and turned it over in his fingers." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1744 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 53 | | adverbRatio | 0.030389908256880736 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.008600917431192661 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 177 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 177 | | mean | 11.79 | | std | 9.06 | | cv | 0.769 | | sampleLengths | | 0 | 8 | | 1 | 21 | | 2 | 25 | | 3 | 3 | | 4 | 6 | | 5 | 22 | | 6 | 5 | | 7 | 4 | | 8 | 28 | | 9 | 10 | | 10 | 5 | | 11 | 27 | | 12 | 4 | | 13 | 1 | | 14 | 11 | | 15 | 6 | | 16 | 16 | | 17 | 19 | | 18 | 11 | | 19 | 13 | | 20 | 18 | | 21 | 12 | | 22 | 15 | | 23 | 7 | | 24 | 29 | | 25 | 4 | | 26 | 3 | | 27 | 17 | | 28 | 8 | | 29 | 18 | | 30 | 4 | | 31 | 18 | | 32 | 6 | | 33 | 3 | | 34 | 3 | | 35 | 24 | | 36 | 22 | | 37 | 7 | | 38 | 8 | | 39 | 52 | | 40 | 8 | | 41 | 29 | | 42 | 5 | | 43 | 13 | | 44 | 5 | | 45 | 19 | | 46 | 18 | | 47 | 1 | | 48 | 3 | | 49 | 5 |
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| 41.62% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.3107344632768362 | | totalSentences | 177 | | uniqueOpeners | 55 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 147 | | matches | | 0 | "Too many of them." | | 1 | "Then he did something that" | | 2 | "Instead she'd found jars of" | | 3 | "Always checking corners." | | 4 | "Then the passage emptied out" | | 5 | "Somewhere deeper in the market," |
| | ratio | 0.041 | |
| 62.18% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 58 | | totalSentences | 147 | | matches | | 0 | "It came sideways off the" | | 1 | "She had him." | | 2 | "She could still see him." | | 3 | "She'd worn it every day" | | 4 | "She hit the steps two" | | 5 | "She saw him stop at" | | 6 | "He looked back once." | | 7 | "He pressed his thumb into" | | 8 | "He slipped through and it" | | 9 | "It didn't move." | | 10 | "She pulled harder." | | 11 | "She stood there, rain dripping" | | 12 | "She was sure of it" | | 13 | "She pulled out her phone" | | 14 | "It was evidence." | | 15 | "She didn't know of what." | | 16 | "She clipped the radio back" | | 17 | "Her badge was still in" | | 18 | "She thought about Morris." | | 19 | "He'd gone into something alone" |
| | ratio | 0.395 | |
| 31.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 126 | | totalSentences | 147 | | matches | | 0 | "The rain had a mean" | | 1 | "It came sideways off the" | | 2 | "Detective Harlow Quinn ran beneath" | | 3 | "She had him." | | 4 | "The suspect—young, fast, dressed in" | | 5 | "Quinn had picked the right" | | 6 | "She could still see him." | | 7 | "A dark shape cutting through" | | 8 | "Quinn checked her watch." | | 9 | "The face was fogged with" | | 10 | "Morris had given her that" | | 11 | "She'd worn it every day" | | 12 | "She hit the steps two" | | 13 | "The Camden Town station at" | | 14 | "A cleaner with a mop" | | 15 | "The suspect was already through" | | 16 | "Quinn showed her badge to" | | 17 | "She saw him stop at" | | 18 | "He looked back once." | | 19 | "He pressed his thumb into" |
| | ratio | 0.857 | |
| 34.01% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 147 | | matches | | 0 | "Whether from the wound or" |
| | ratio | 0.007 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 69 | | technicalSentenceCount | 15 | | matches | | 0 | "She saw him stop at the far end of the platform, near a maintenance corridor most passengers wouldn't even notice—a rusted door with a sign that said AUTHORISED…" | | 1 | "At something behind her, something that made his face go pale and hard in the fluorescent light." | | 2 | "Instead she'd found jars of something black and viscous, notebooks in languages that looked older than English, and a room in the back that smelled like copper …" | | 3 | "Her badge was still in her hand, and she caught her own reflection in its surface—the sharp jaw, the cropped salt-and-pepper hair plastered dark against her for…" | | 4 | "She took a breath that tasted like metal and damp concrete and the faintest ghost of smoke from somewhere far below." | | 5 | "Something in the sensation told her that—a warmth that spread beyond what a simple wound should produce, a pulse that didn't match a human heart." | | 6 | "It descended at an angle that felt wrong, the walls narrowing as she moved deeper, the ceiling pressing lower until she had to duck." | | 7 | "The light from the platform faded and was replaced by something else—a dim, shifting glow that came from no visible source, the color of a bruise just beginning…" | | 8 | "Her footsteps echoed in ways that suggested spaces far larger than the corridors allowed, as if the architecture was only hinting at what existed beyond it." | | 9 | "The space was vast—a cathedral carved from the bones of an Underground station that had been decommissioned and then, somehow, unmade." | | 10 | "The ceiling arched high above in vaulted sections of exposed brick and something darker, something that glistened when the light touched it." | | 11 | "A woman at a cloth stall unfolded fabrics that shimmered between two colors depending on the angle, and when she shook out a bolt of something silver-white, the…" | | 12 | "The fingers were too long, the joints bending in directions that didn't correspond to human anatomy, and the skin had taken on a grayish tinge that spread past …" | | 13 | "He just watched with an expression that was equal parts curiosity and calculation." | | 14 | "A man who looked at police presence the way a librarian looked at a overdue fine—troublesome, but manageable." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 25 | | tagDensity | 0.28 | | leniency | 0.56 | | rawRatio | 0 | | effectiveRatio | 0 | |