| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 23 | | tagDensity | 0.391 | | leniency | 0.783 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.91% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1223 | | 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) | |
| 71.38% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1223 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "glinting" | | 1 | "standard" | | 2 | "familiar" | | 3 | "velvet" | | 4 | "flickered" | | 5 | "echoed" | | 6 | "rhythmic" |
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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 | 124 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 124 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 138 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1214 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 75.82% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 1011 | | uniqueNames | 12 | | maxNameDensity | 1.48 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 2 | | Harlow | 1 | | Quinn | 15 | | Greek | 1 | | Street | 1 | | Tube | 2 | | Glock | 1 | | Morris | 3 | | Veil | 1 | | Market | 1 | | Camden | 1 | | London | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Market" | | 4 | "Camden" |
| | places | | 0 | "Soho" | | 1 | "Greek" | | 2 | "Street" | | 3 | "London" |
| | globalScore | 0.758 | | windowScore | 1 | |
| 39.71% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | glossingSentenceCount | 3 | | matches | | 0 | "smelled like burnt sugar and rot" | | 1 | "sounded like grinding gravel" | | 2 | "darkness that seemed to breathe" |
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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 | 1214 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 138 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 23.35 | | std | 18.6 | | cv | 0.797 | | sampleLengths | | 0 | 51 | | 1 | 60 | | 2 | 12 | | 3 | 53 | | 4 | 25 | | 5 | 26 | | 6 | 30 | | 7 | 80 | | 8 | 2 | | 9 | 45 | | 10 | 4 | | 11 | 40 | | 12 | 50 | | 13 | 35 | | 14 | 58 | | 15 | 14 | | 16 | 36 | | 17 | 21 | | 18 | 4 | | 19 | 4 | | 20 | 27 | | 21 | 7 | | 22 | 14 | | 23 | 9 | | 24 | 34 | | 25 | 32 | | 26 | 8 | | 27 | 39 | | 28 | 21 | | 29 | 6 | | 30 | 34 | | 31 | 10 | | 32 | 67 | | 33 | 24 | | 34 | 16 | | 35 | 16 | | 36 | 4 | | 37 | 29 | | 38 | 10 | | 39 | 12 | | 40 | 2 | | 41 | 6 | | 42 | 16 | | 43 | 6 | | 44 | 1 | | 45 | 18 | | 46 | 21 | | 47 | 31 | | 48 | 3 | | 49 | 11 |
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| 91.11% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 124 | | matches | | 0 | "been drained" | | 1 | "been fixed" | | 2 | "was gone" | | 3 | "been drained" | | 4 | "been drained" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 175 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 138 | | ratio | 0.058 | | matches | | 0 | "Quinn had caught a glimpse of his face beneath a streetlamp—pale, young, a spiderweb tattoo creeping up his neck." | | 1 | "A faint smell of damp concrete and something else—incense, maybe, or burnt herbs." | | 2 | "A small bone—rabbit, maybe—carved with symbols." | | 3 | "An abandoned Tube station beneath Camden, according to her informant—but this was Soho." | | 4 | "A stallholder—a tall figure in a hooded cloak—stepped into her path." | | 5 | "Quinn felt the heat on her face, smelled the smoke—incense and charred bone." | | 6 | "He opened his mouth to speak—" | | 7 | "The same mark on their necks—a spiral pattern that matched the graffiti on the tunnel walls." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1021 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.021547502448579822 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0039177277179236044 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 138 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 138 | | mean | 8.8 | | std | 6.45 | | cv | 0.734 | | sampleLengths | | 0 | 15 | | 1 | 22 | | 2 | 14 | | 3 | 7 | | 4 | 18 | | 5 | 19 | | 6 | 16 | | 7 | 3 | | 8 | 3 | | 9 | 6 | | 10 | 13 | | 11 | 8 | | 12 | 11 | | 13 | 21 | | 14 | 5 | | 15 | 20 | | 16 | 5 | | 17 | 3 | | 18 | 12 | | 19 | 6 | | 20 | 5 | | 21 | 13 | | 22 | 12 | | 23 | 11 | | 24 | 11 | | 25 | 4 | | 26 | 14 | | 27 | 9 | | 28 | 19 | | 29 | 8 | | 30 | 4 | | 31 | 2 | | 32 | 11 | | 33 | 5 | | 34 | 29 | | 35 | 4 | | 36 | 4 | | 37 | 15 | | 38 | 8 | | 39 | 5 | | 40 | 2 | | 41 | 6 | | 42 | 3 | | 43 | 3 | | 44 | 10 | | 45 | 5 | | 46 | 5 | | 47 | 13 | | 48 | 5 | | 49 | 6 |
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| 39.13% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.30434782608695654 | | totalSentences | 138 | | uniqueOpeners | 42 | |
| 59.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 113 | | matches | | 0 | "Maybe the market had shifted." | | 1 | "Just endless dark." |
| | ratio | 0.018 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 113 | | matches | | 0 | "He was one of the" | | 1 | "Her radio crackled." | | 2 | "She ignored it." | | 3 | "She pushed off the wall" | | 4 | "She drew her service weapon." | | 5 | "Her partner, DS Morris, would" | | 6 | "She'd seen the way his" | | 7 | "She saw a discarded shoe." | | 8 | "She'd heard whispers." | | 9 | "She followed the passage until" | | 10 | "She moved, keeping her head" | | 11 | "His voice sounded like grinding" | | 12 | "She could see the spiderweb" | | 13 | "she said, and flashed her" | | 14 | "It was a wet, guttural" | | 15 | "She moved to push past" | | 16 | "He grabbed her arm." | | 17 | "His grip was iron, the" | | 18 | "He stumbled, his hood falling" | | 19 | "She didn't wait for his" |
| | ratio | 0.274 | |
| 44.07% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 94 | | totalSentences | 113 | | matches | | 0 | "The rain came down in" | | 1 | "Detective Harlow Quinn pressed her" | | 2 | "The leather strap of her" | | 3 | "The suspect had bolted three" | | 4 | "A slim figure in a" | | 5 | "Quinn had caught a glimpse" | | 6 | "He was one of the" | | 7 | "Her radio crackled." | | 8 | "She ignored it." | | 9 | "Backup would only slow her" | | 10 | "She pushed off the wall" | | 11 | "The alley spat her out" | | 12 | "Quinn skidded to a halt." | | 13 | "The chains hung loose, the" | | 14 | "She drew her service weapon." | | 15 | "A Glock 17." | | 16 | "The metal felt cold and" | | 17 | "The stairs descended into darkness." | | 18 | "A faint smell of damp" | | 19 | "The kind of smell that" |
| | ratio | 0.832 | |
| 88.50% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 113 | | matches | | 0 | "To her left, a discarded" | | 1 | "To her right, a blur" |
| | ratio | 0.018 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 9 | | matches | | 0 | "A slim figure in a black hoodie, moving with the practiced urgency of someone who knew these streets." | | 1 | "The kind of smell that clung to the back of her throat." | | 2 | "A single bare bulb hung from a wire at the bottom, casting a jaundice glow over a peeling poster for a band that had broken up in the nineties." | | 3 | "A narrow passage, brick walls weeping moisture, the floor slick with something that wasn't water." | | 4 | "A supernatural black market that moved locations every full moon." | | 5 | "A man with a stitched-shut mouth weighed packages of dried herbs that smelled like burnt sugar and rot." | | 6 | "She moved, keeping her head down, her hand resting on the grip of her pistol." | | 7 | "His face was gaunt, his eyes carrying the hollow look of someone who'd seen too much." | | 8 | "The same mark on their necks—a spiral pattern that matched the graffiti on the tunnel walls." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 63.04% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 2 | | fancyTags | | 0 | "The boy laughed (laugh)" | | 1 | "he whispered (whisper)" |
| | dialogueSentences | 23 | | tagDensity | 0.261 | | leniency | 0.522 | | rawRatio | 0.333 | | effectiveRatio | 0.174 | |