| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 1 | | adverbTags | | 0 | "Quinn advanced slowly [slowly]" |
| | dialogueSentences | 20 | | tagDensity | 0.35 | | leniency | 0.7 | | rawRatio | 0.143 | | effectiveRatio | 0.1 | |
| 93.61% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1565 | | 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) | |
| 68.05% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1565 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "velvet" | | 1 | "methodical" | | 2 | "silence" | | 3 | "mechanical" | | 4 | "echoed" | | 5 | "comfortable" | | 6 | "weight" | | 7 | "shattered" | | 8 | "flicked" |
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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 | 1 | | narrationSentences | 137 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 137 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 151 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1554 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 97.52% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 1429 | | uniqueNames | 20 | | maxNameDensity | 1.05 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 15 | | Old | 3 | | Compton | 1 | | Street | 2 | | Wardour | 1 | | Backup | 1 | | Soho | 1 | | Morris | 6 | | Raven | 1 | | Nest | 1 | | Saint | 1 | | Christopher | 1 | | Spain | 1 | | Underground | 1 | | Camden | 1 | | Veil | 1 | | Market | 1 | | Tube | 1 | | Tomás | 1 | | Herrera | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Backup" | | 2 | "Morris" | | 3 | "Raven" | | 4 | "Saint" | | 5 | "Christopher" | | 6 | "Market" | | 7 | "Tomás" | | 8 | "Herrera" |
| | places | | 0 | "Old" | | 1 | "Compton" | | 2 | "Street" | | 3 | "Wardour" | | 4 | "Soho" | | 5 | "Spain" |
| | globalScore | 0.975 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 102 | | glossingSentenceCount | 2 | | matches | | 0 | "weapons that seemed to bend the air around them" | | 1 | "appeared ahead not the lantern-glow of the market but something steadier, bluer" |
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| 71.30% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.287 | | wordCount | 1554 | | matches | | 0 | "not mechanical but organic, like a crowd whispering in a cathedral" | | 1 | "not the lantern-glow of the market but something steadier, bluer" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 151 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 28.78 | | std | 21.62 | | cv | 0.751 | | sampleLengths | | 0 | 4 | | 1 | 58 | | 2 | 39 | | 3 | 80 | | 4 | 4 | | 5 | 6 | | 6 | 47 | | 7 | 3 | | 8 | 56 | | 9 | 30 | | 10 | 56 | | 11 | 37 | | 12 | 14 | | 13 | 28 | | 14 | 13 | | 15 | 4 | | 16 | 3 | | 17 | 30 | | 18 | 6 | | 19 | 57 | | 20 | 7 | | 21 | 20 | | 22 | 2 | | 23 | 11 | | 24 | 53 | | 25 | 25 | | 26 | 65 | | 27 | 20 | | 28 | 55 | | 29 | 24 | | 30 | 33 | | 31 | 2 | | 32 | 49 | | 33 | 34 | | 34 | 9 | | 35 | 25 | | 36 | 46 | | 37 | 2 | | 38 | 62 | | 39 | 6 | | 40 | 57 | | 41 | 36 | | 42 | 4 | | 43 | 44 | | 44 | 53 | | 45 | 25 | | 46 | 14 | | 47 | 22 | | 48 | 33 | | 49 | 2 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 137 | | matches | | 0 | "were shuttered" | | 1 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 246 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 151 | | ratio | 0.073 | | matches | | 0 | "But what caught her eye was the door—slightly ajar, a sliver of warm light spilling onto the wet pavement." | | 1 | "A few patrons hunched over their drinks—a woman in a velvet coat nursing something amber, two men in work clothes sharing a silent pint." | | 2 | "Her eyes swept the room—stools, booths, a door marked STAFF ONLY." | | 3 | "The air changed—cooler, carrying a mineral dampness that reminded her of the Underground during a strike, when the trains stopped and the silence crept in." | | 4 | "Old signage clung to the walls—MIND THE GAP, WAY OUT—but these weren’t municipal." | | 5 | "Bone tokens changed hands—currencies carved from something Quinn didn’t want to identify." | | 6 | "The market reacted to her presence the way a body reacts to a splinter—subtle at first, then with growing alarm." | | 7 | "Not the suspect—someone else, somewhere in the dark." | | 8 | "The shoebox could contain anything—drugs, weapons, evidence that would crack the case that had consumed her since Morris died." | | 9 | "Faint light appeared ahead—not the lantern-glow of the market but something steadier, bluer." | | 10 | "His eyes flicked to the tunnel mouth at the far end of the platform—an opening that yawned black and endless, where the abandoned tracks vanished into the earth." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 748 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 7 | | adverbRatio | 0.009358288770053475 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0053475935828877 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 151 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 151 | | mean | 10.29 | | std | 6.81 | | cv | 0.661 | | sampleLengths | | 0 | 4 | | 1 | 17 | | 2 | 16 | | 3 | 25 | | 4 | 6 | | 5 | 23 | | 6 | 6 | | 7 | 4 | | 8 | 6 | | 9 | 7 | | 10 | 16 | | 11 | 31 | | 12 | 20 | | 13 | 4 | | 14 | 2 | | 15 | 4 | | 16 | 14 | | 17 | 11 | | 18 | 7 | | 19 | 6 | | 20 | 9 | | 21 | 3 | | 22 | 12 | | 23 | 12 | | 24 | 19 | | 25 | 13 | | 26 | 10 | | 27 | 11 | | 28 | 2 | | 29 | 2 | | 30 | 5 | | 31 | 16 | | 32 | 11 | | 33 | 24 | | 34 | 5 | | 35 | 22 | | 36 | 8 | | 37 | 7 | | 38 | 7 | | 39 | 7 | | 40 | 6 | | 41 | 11 | | 42 | 11 | | 43 | 6 | | 44 | 7 | | 45 | 4 | | 46 | 3 | | 47 | 6 | | 48 | 7 | | 49 | 17 |
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| 54.30% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.37748344370860926 | | totalSentences | 151 | | uniqueOpeners | 57 | |
| 26.67% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 125 | | matches | | 0 | "Somewhere water dripped with the" |
| | ratio | 0.008 | |
| 92.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 125 | | matches | | 0 | "She kept her pace steady," | | 1 | "Her leather watch read 11:47" | | 2 | "She ignored it" | | 3 | "She rounded the corner." | | 4 | "Her suspect had disappeared." | | 5 | "She’d walked past it a" | | 6 | "She pushed the door open." | | 7 | "He caught her eye and" | | 8 | "His accent carried a trace" | | 9 | "Her eyes swept the room—stools," | | 10 | "Her wet coat dripped onto" | | 11 | "She stared at his scar," | | 12 | "She could hear a distant" | | 13 | "Her hand moved to her" | | 14 | "She thought of Morris bleeding" | | 15 | "She’d heard whispers in interrogation" | | 16 | "He glanced back." | | 17 | "Their eyes met across the" | | 18 | "His hood had fallen, revealing" | | 19 | "He clutched the shoebox to" |
| | ratio | 0.32 | |
| 48.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 103 | | totalSentences | 125 | | matches | | 0 | "Detective Quinn’s lungs burned." | | 1 | "She kept her pace steady," | | 2 | "The rain came down in" | | 3 | "Her leather watch read 11:47" | | 4 | "Innocent men don’t run." | | 5 | "The radio on her shoulder" | | 6 | "She ignored it" | | 7 | "Backup was ten minutes away" | | 8 | "This was the kind of" | | 9 | "She rounded the corner." | | 10 | "Her suspect had disappeared." | | 11 | "Quinn slowed to a walk," | | 12 | "The shopfronts here were shuttered," | | 13 | "A café with its chairs" | | 14 | "A bookmaker’s with an unlit" | | 15 | "The Raven’s Nest." | | 16 | "She’d walked past it a" | | 17 | "The green neon sign buzzed" | | 18 | "The kind of light a" | | 19 | "Quinn approached, pressed herself against" |
| | ratio | 0.824 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 125 | | matches | (empty) | | ratio | 0 | |
| 85.25% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 62 | | technicalSentenceCount | 5 | | matches | | 0 | "She kept her pace steady, boots splashing through puddles that reflected the sickly orange glow of streetlamps." | | 1 | "The tunnel opened into a cavern that shouldn’t exist beneath Camden: a vaulted ceiling lost in shadow, stalls cobbled together from salvaged doors and corrugate…" | | 2 | "And there, slipping between a stall selling tarot cards that moved on their own and a cage containing something that chittered, was her suspect." | | 3 | "She stood in a junction chamber, its ceiling lost to darkness, its floor pooled with black water that reflected nothing." | | 4 | "It carried a smell she couldn’t name, something that made the hairs on her neck stand at attention." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 20 | | tagDensity | 0.1 | | leniency | 0.2 | | rawRatio | 0 | | effectiveRatio | 0 | |