| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 95.47% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1103 | | 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) | |
| 77.33% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1103 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "streaming" | | 1 | "gloom" | | 2 | "standard" | | 3 | "electric" | | 4 | "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 | 88 | | matches | (empty) | |
| 61.69% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 88 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 88 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1096 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 90.69% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 1096 | | uniqueNames | 12 | | maxNameDensity | 1.19 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | London | 3 | | Harlow | 1 | | Quinn | 13 | | Wardour | 1 | | Street | 1 | | Raven | 1 | | Nest | 1 | | Met | 1 | | Soho | 2 | | Morris | 5 | | Tube | 3 | | Transport | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Morris" | | 4 | "Tube" |
| | places | | 0 | "London" | | 1 | "Wardour" | | 2 | "Street" | | 3 | "Met" | | 4 | "Soho" |
| | globalScore | 0.907 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 8 | | matches | | 0 | "Soho that seemed to exist just outside her mental map" | | 1 | "looked like a defunct Tube station entran" | | 2 | "something like cinnamon mixed with something" | | 3 | "something like electricity run through her s" | | 4 | "liquid that seemed to move of its own accord" | | 5 | "looked like carved bone tokens, each one" | | 6 | "something like her" | | 7 | "felt like a talisman from another world" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.912 | | wordCount | 1096 | | matches | | 0 | "Not her specifically, perhaps, but something like her" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 88 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 23 | | mean | 47.65 | | std | 24.76 | | cv | 0.52 | | sampleLengths | | 0 | 74 | | 1 | 56 | | 2 | 71 | | 3 | 64 | | 4 | 80 | | 5 | 72 | | 6 | 42 | | 7 | 7 | | 8 | 58 | | 9 | 51 | | 10 | 5 | | 11 | 30 | | 12 | 67 | | 13 | 82 | | 14 | 66 | | 15 | 4 | | 16 | 56 | | 17 | 54 | | 18 | 23 | | 19 | 49 | | 20 | 14 | | 21 | 58 | | 22 | 13 |
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| 97.29% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 88 | | matches | | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 11 | | totalVerbs | 176 | | matches | | 0 | "was pulling" | | 1 | "were screaming" | | 2 | "was gaining" | | 3 | "was doing" | | 4 | "was ringing" | | 5 | "was getting" | | 6 | "was getting" | | 7 | "was selling" | | 8 | "was dealing" | | 9 | "was creating" | | 10 | "was watching" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 1 | | flaggedSentences | 6 | | totalSentences | 88 | | ratio | 0.068 | | matches | | 0 | "Behind her, the suspect—a thin man in a charcoal hoodie—was pulling away, his trainers splashing through puddles on Wardour Street." | | 1 | "Quinn's shoes found purchase on wet cobblestones; her breath came white in the cold night air." | | 2 | "Somewhere in the back of her mind—the part that still remembered DS Morris, her partner, the way he'd looked when they found him three years ago—a warning bell was ringing." | | 3 | "And underneath that, the smell—sharp spices, something like cinnamon mixed with something acrid she couldn't place." | | 4 | "Instead of standard London Transport tile, there was stone—old stone, worked with symbols she didn't recognize." | | 5 | "He just smiled, and in his smile was the certainty that she'd made exactly the right decision—or exactly the wrong one, and that maybe there wasn't any difference anymore." |
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| 98.61% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1106 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 46 | | adverbRatio | 0.04159132007233273 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.009041591320072333 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 88 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 88 | | mean | 12.45 | | std | 7.89 | | cv | 0.633 | | sampleLengths | | 0 | 23 | | 1 | 31 | | 2 | 20 | | 3 | 10 | | 4 | 6 | | 5 | 17 | | 6 | 5 | | 7 | 18 | | 8 | 6 | | 9 | 18 | | 10 | 17 | | 11 | 5 | | 12 | 3 | | 13 | 4 | | 14 | 2 | | 15 | 16 | | 16 | 15 | | 17 | 16 | | 18 | 3 | | 19 | 30 | | 20 | 21 | | 21 | 11 | | 22 | 30 | | 23 | 4 | | 24 | 14 | | 25 | 9 | | 26 | 5 | | 27 | 13 | | 28 | 18 | | 29 | 4 | | 30 | 23 | | 31 | 3 | | 32 | 18 | | 33 | 8 | | 34 | 13 | | 35 | 7 | | 36 | 10 | | 37 | 18 | | 38 | 11 | | 39 | 19 | | 40 | 9 | | 41 | 12 | | 42 | 4 | | 43 | 26 | | 44 | 5 | | 45 | 10 | | 46 | 16 | | 47 | 4 | | 48 | 9 | | 49 | 7 |
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| 57.20% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.3977272727272727 | | totalSentences | 88 | | uniqueOpeners | 35 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 85 | | matches | | 0 | "Just a glimpse, really, but" | | 1 | "Somewhere in the back of" | | 2 | "Instead of standard London Transport" |
| | ratio | 0.035 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 85 | | matches | | 0 | "She'd spotted him leaving The" | | 1 | "Her instincts had been honed" | | 2 | "Her breath came hard and" | | 3 | "She vaulted over a street-level" | | 4 | "They descended into Soho, deeper" | | 5 | "She was gaining." | | 6 | "She followed, her hand hovering" | | 7 | "She knew this city like" | | 8 | "He ran straight toward what" | | 9 | "She followed the suspect down" | | 10 | "Her torch beam caught on" | | 11 | "She'd never seen anything like" | | 12 | "She made a decision." | | 13 | "It was more like the" | | 14 | "He was older, with a" | | 15 | "Her fingers tightened on the" | | 16 | "She could feel the city" | | 17 | "She could turn around now," | | 18 | "She pushed deeper into the" | | 19 | "He just smiled, and in" |
| | ratio | 0.235 | |
| 60.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 85 | | matches | | 0 | "The rain hit the streets" | | 1 | "Detective Harlow Quinn ran, her" | | 2 | "She'd spotted him leaving The" | | 3 | "Her instincts had been honed" | | 4 | "This was one of them." | | 5 | "Her breath came hard and" | | 6 | "Military precision dictated every movement," | | 7 | "She vaulted over a street-level" | | 8 | "The suspect didn't look back." | | 9 | "That was interesting." | | 10 | "This one just ran like" | | 11 | "They descended into Soho, deeper" | | 12 | "Quinn's shoes found purchase on" | | 13 | "She was gaining." | | 14 | "The suspect cut left, into" | | 15 | "She followed, her hand hovering" | | 16 | "This was getting deep." | | 17 | "This was getting into territory" | | 18 | "The alley opened onto a" | | 19 | "That shouldn't have been possible." |
| | ratio | 0.8 | |
| 58.82% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 85 | | matches | | 0 | "Now they were the color" |
| | ratio | 0.012 | |
| 69.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 5 | | matches | | 0 | "Behind her, the suspect—a thin man in a charcoal hoodie—was pulling away, his trainers splashing through puddles on Wardour Street." | | 1 | "She vaulted over a street-level barrier, cutting across the alley that ran parallel to the main road." | | 2 | "Forty-one years old and she could still run, could still feel the burn in her legs and chest that meant she was alive, that she was doing something that mattere…" | | 3 | "An actual market, underground, beneath the Tube station that shouldn't have had any substructure below its platform." | | 4 | "Lanterns hanging from the ceiling cast everything in amber light, and everywhere Quinn looked, there were things that didn't belong in the rational world." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |