| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 3 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.80% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1564 | | 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) | |
| 68.03% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1564 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "determined" | | 1 | "streaming" | | 2 | "standard" | | 3 | "whisper" | | 4 | "fractured" | | 5 | "pulsed" | | 6 | "pounding" | | 7 | "sense of" | | 8 | "weight" |
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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 | 116 | | matches | (empty) | |
| 56.65% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 4 | | narrationSentences | 116 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "tried to" | | 2 | "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 | 116 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1552 | | 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 | 36 | | wordCount | 1540 | | uniqueNames | 19 | | maxNameDensity | 0.65 | | worstName | "Quinn" | | maxWindowNameDensity | 1 | | worstWindowName | "Quinn" | | discoveredNames | | London | 2 | | Harlow | 1 | | Quinn | 10 | | Frith | 1 | | Street | 3 | | Raven | 1 | | Nest | 1 | | Dean | 2 | | Londoners | 1 | | Soho | 1 | | Camden | 1 | | Tube | 1 | | Underground | 1 | | Morris | 5 | | Glock | 1 | | Internal | 1 | | Affairs | 1 | | Veil | 1 | | Market | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Underground" | | 4 | "Morris" | | 5 | "Affairs" | | 6 | "Market" |
| | places | | 0 | "London" | | 1 | "Frith" | | 2 | "Street" | | 3 | "Dean" | | 4 | "Soho" | | 5 | "Camden" | | 6 | "Veil" |
| | globalScore | 1 | | windowScore | 1 | |
| 61.76% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 85 | | glossingSentenceCount | 3 | | matches | | 0 | "earth that seemed to swallow the rain before it could touch the bottom" | | 1 | "weapons that seemed to writhe in their display cases" | | 2 | "something between a whisper and a hiss, and Qui" |
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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 | 1552 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 116 | | matches | (empty) | |
| 43.83% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 25 | | mean | 62.08 | | std | 18.84 | | cv | 0.303 | | sampleLengths | | 0 | 87 | | 1 | 70 | | 2 | 52 | | 3 | 70 | | 4 | 85 | | 5 | 62 | | 6 | 58 | | 7 | 82 | | 8 | 58 | | 9 | 61 | | 10 | 60 | | 11 | 99 | | 12 | 56 | | 13 | 38 | | 14 | 84 | | 15 | 50 | | 16 | 91 | | 17 | 49 | | 18 | 73 | | 19 | 59 | | 20 | 50 | | 21 | 64 | | 22 | 42 | | 23 | 35 | | 24 | 17 |
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| 96.19% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 116 | | matches | | 0 | "were cracked" | | 1 | "been told" | | 2 | "been denied" |
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| 1.73% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 8 | | totalVerbs | 269 | | matches | | 0 | "were watching" | | 1 | "was going" | | 2 | "was running" | | 3 | "was still waiting" | | 4 | "was already disappearing" | | 5 | "was seeing" | | 6 | "was noticing" | | 7 | "was deciding" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 116 | | ratio | 0.069 | | matches | | 0 | "And now she had him—a man in a dark coat who moved like he knew the streets were watching." | | 1 | "Average height, average build, face she'd already committed to memory—olive skin, dark curly hair, the kind of face that could disappear in a crowd." | | 2 | "The smell hit her first—rotting garbage, old piss, something metallic underneath it all." | | 3 | "The case had taken her to strange places over the past three years—places that didn't make sense, places that made her question things she'd once believed were solid and true." | | 4 | "Quinn drew her weapon—a standard-issue Glock that felt heavier tonight than usual—and started down the stairs." | | 5 | "And she saw people—creatures—moving between the stalls, haggling and trading and paying with things that weren't currency in any sense she understood." | | 6 | "Its eyes—or what she thought were eyes—caught the light and gleamed." | | 7 | "Its mouth—if it was a mouth—curved into something that might have been a smile." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1558 | | adjectiveStacks | 1 | | stackExamples | | 0 | "becoming warmer, thicker, carrying" |
| | adverbCount | 48 | | adverbRatio | 0.03080872913992298 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.007702182284980745 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 116 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 116 | | mean | 13.38 | | std | 8.05 | | cv | 0.602 | | sampleLengths | | 0 | 18 | | 1 | 22 | | 2 | 4 | | 3 | 24 | | 4 | 19 | | 5 | 4 | | 6 | 20 | | 7 | 3 | | 8 | 26 | | 9 | 11 | | 10 | 4 | | 11 | 2 | | 12 | 13 | | 13 | 17 | | 14 | 3 | | 15 | 19 | | 16 | 3 | | 17 | 21 | | 18 | 24 | | 19 | 11 | | 20 | 2 | | 21 | 2 | | 22 | 7 | | 23 | 23 | | 24 | 13 | | 25 | 3 | | 26 | 17 | | 27 | 29 | | 28 | 11 | | 29 | 1 | | 30 | 2 | | 31 | 22 | | 32 | 11 | | 33 | 15 | | 34 | 14 | | 35 | 3 | | 36 | 4 | | 37 | 37 | | 38 | 14 | | 39 | 16 | | 40 | 3 | | 41 | 3 | | 42 | 22 | | 43 | 5 | | 44 | 3 | | 45 | 16 | | 46 | 11 | | 47 | 32 | | 48 | 15 | | 49 | 7 |
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| 38.22% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 19 | | diversityRatio | 0.3275862068965517 | | totalSentences | 116 | | uniqueOpeners | 38 | |
| 90.09% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 111 | | matches | | 0 | "Then he was running again," | | 1 | "Ever since Morris." | | 2 | "Ever since the night her" |
| | ratio | 0.027 | |
| 68.65% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 42 | | totalSentences | 111 | | matches | | 0 | "She checked her watch." | | 1 | "She'd watched her suspect slip" | | 2 | "Her shoes slapped against the" | | 3 | "She didn't care." | | 4 | "She'd spent eighteen years chasing" | | 5 | "He was fast." | | 6 | "He knew exactly where he" | | 7 | "She kept moving." | | 8 | "Her hand found the wall" | | 9 | "She burst onto Dean Street" | | 10 | "He glanced over his shoulder," | | 11 | "He led her north, through" | | 12 | "Her legs ached." | | 13 | "She was forty-one years old," | | 14 | "Her white whale." | | 15 | "They crossed into Camden, and" | | 16 | "Her suspect ducked into an" | | 17 | "Her suspect scrambled over the" | | 18 | "She hit the chain-link a" | | 19 | "She couldn't see him anymore." |
| | ratio | 0.378 | |
| 90.63% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 82 | | totalSentences | 111 | | matches | | 0 | "The rain came down in" | | 1 | "Detective Harlow Quinn pressed her" | | 2 | "She checked her watch." | | 3 | "The worn leather band was" | | 4 | "Quarter past midnight." | | 5 | "The bar behind her, some" | | 6 | "She'd watched her suspect slip" | | 7 | "That's what she did." | | 8 | "The man rounded the corner" | | 9 | "Her shoes slapped against the" | | 10 | "She didn't care." | | 11 | "She'd spent eighteen years chasing" | | 12 | "He was fast." | | 13 | "He knew exactly where he" | | 14 | "Quinn cut left down a" | | 15 | "The smell hit her first—rotting" | | 16 | "She kept moving." | | 17 | "Her hand found the wall" | | 18 | "Rain drummed against the fire" | | 19 | "She burst onto Dean Street" |
| | ratio | 0.739 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 111 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 72 | | technicalSentenceCount | 15 | | matches | | 0 | "Her shoes slapped against the wet ground, sending up sprays of dirty water that splattered her trousers." | | 1 | "Faster than she'd expected from someone who'd looked so unremarkable sitting at the bar, nursing a whiskey for over an hour." | | 2 | "Average height, average build, face she'd already committed to memory—olive skin, dark curly hair, the kind of face that could disappear in a crowd." | | 3 | "Her hand found the wall in the darkness, rough brick scraping against her palm, guiding her forward." | | 4 | "Rain drummed against the fire escapes above, a relentless percussion that drowned out the sounds of the city and left her with only her own heartbeat in her ear…" | | 5 | "Warm brown eyes, wide with something that looked almost like recognition." | | 6 | "The few people on the street at this hour walked with their heads down, collars turned up against the weather, moving with the determined disinterest of Londone…" | | 7 | "The streets here were older, the buildings squat and industrial, the kind of neighborhood that had seen better days and was still waiting for gentrification to …" | | 8 | "Beyond it, she could see the rusted entrance to an abandoned Tube station, the sort of ghost stop that dotted the London Underground like forgotten scars." | | 9 | "Her suspect scrambled over the fence with an agility that made her curse under her breath." | | 10 | "The case had taken her to strange places over the past three years—places that didn't make sense, places that made her question things she'd once believed were …" | | 11 | "Quinn drew her weapon—a standard-issue Glock that felt heavier tonight than usual—and started down the stairs." | | 12 | "She saw weapons that seemed to writhe in their display cases." | | 13 | "And she saw people—creatures—moving between the stalls, haggling and trading and paying with things that weren't currency in any sense she understood." | | 14 | "And Quinn stood at the entrance, her weapon raised, her heart pounding, and tried to make sense of what she was seeing." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 1 | | matches | | 0 | "The words tore, but the rain swallowed them whole" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |