| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 32 | | tagDensity | 0.469 | | leniency | 0.938 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1295 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 84.56% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1295 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "scanned" | | 1 | "weight" | | 2 | "streaming" | | 3 | "mechanical" |
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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 | 84 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 84 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 101 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1308 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 1106 | | uniqueNames | 19 | | maxNameDensity | 0.9 | | worstName | "Herrera" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 2 | | Quinn | 9 | | Raven | 2 | | Nest | 2 | | Tomás | 1 | | Herrera | 10 | | Christopher | 1 | | Old | 1 | | Compton | 1 | | Street | 2 | | Charing | 1 | | Cross | 1 | | Road | 1 | | Camden | 1 | | High | 1 | | Tube | 2 | | Darkness | 1 | | Static | 1 | | Morris | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Nest" | | 4 | "Tomás" | | 5 | "Herrera" | | 6 | "Christopher" | | 7 | "Darkness" | | 8 | "Morris" |
| | places | | 0 | "Old" | | 1 | "Compton" | | 2 | "Street" | | 3 | "Charing" | | 4 | "Cross" | | 5 | "Road" | | 6 | "Camden" | | 7 | "High" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1308 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 101 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 29.73 | | std | 23.78 | | cv | 0.8 | | sampleLengths | | 0 | 75 | | 1 | 39 | | 2 | 6 | | 3 | 82 | | 4 | 36 | | 5 | 3 | | 6 | 29 | | 7 | 1 | | 8 | 39 | | 9 | 17 | | 10 | 28 | | 11 | 7 | | 12 | 2 | | 13 | 83 | | 14 | 9 | | 15 | 3 | | 16 | 50 | | 17 | 39 | | 18 | 18 | | 19 | 24 | | 20 | 55 | | 21 | 9 | | 22 | 19 | | 23 | 54 | | 24 | 1 | | 25 | 13 | | 26 | 69 | | 27 | 19 | | 28 | 55 | | 29 | 31 | | 30 | 19 | | 31 | 6 | | 32 | 58 | | 33 | 8 | | 34 | 63 | | 35 | 72 | | 36 | 3 | | 37 | 10 | | 38 | 38 | | 39 | 20 | | 40 | 30 | | 41 | 34 | | 42 | 18 | | 43 | 14 |
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| 92.73% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 84 | | matches | | 0 | "was gone" | | 1 | "was plastered" | | 2 | "was shaped" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 195 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 101 | | ratio | 0.099 | | matches | | 0 | "She checked her watch — the worn leather strap dark with rain — 23:40, and pulled her collar higher." | | 1 | "The streetlamp caught a shape at his throat — a medallion, swinging with each stride." | | 2 | "He vaulted a stack of pallets, the bag swinging wide, and she saw the scar as his sleeve rode up — a long white seam along his left forearm, old knife work." | | 3 | "It actually stopped for him — the door swung shut, the cab pulled away, and Quinn stood on the kerb with her warrant card already out and a taxi easing toward her through the rain." | | 4 | "At Camden High Street the traffic bunched — roadworks, barriers, a night crew in hi-vis huddled under an awning — and the cab ahead stopped dead." | | 5 | "She ran the gap between his cab and hers, tyres shrieking somewhere behind, and caught sight of him again — the medallion catching a stray beam of light, once, then swallowed by dark." | | 6 | "The road ended at hoarding — plywood sheets eight feet tall, spray-painted with half a developer's promise of luxury flats." | | 7 | "He was breathing hard, the medical bag clutched in both hands now, and between them — fifteen feet of rain — she saw him weighing something." | | 8 | "Darkness stood behind him, and the smell that came out of it was wrong for a Tube station — incense, hot metal, something herbal and sweet." | | 9 | "\"Rules.\" Quinn's radio crackled on her shoulder — she reached up and thumbed it dead." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1043 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.020134228187919462 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0028763183125599234 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 101 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 101 | | mean | 12.95 | | std | 8.69 | | cv | 0.671 | | sampleLengths | | 0 | 14 | | 1 | 27 | | 2 | 15 | | 3 | 19 | | 4 | 7 | | 5 | 18 | | 6 | 14 | | 7 | 6 | | 8 | 11 | | 9 | 10 | | 10 | 14 | | 11 | 18 | | 12 | 15 | | 13 | 2 | | 14 | 3 | | 15 | 9 | | 16 | 18 | | 17 | 18 | | 18 | 3 | | 19 | 3 | | 20 | 13 | | 21 | 9 | | 22 | 4 | | 23 | 1 | | 24 | 2 | | 25 | 19 | | 26 | 6 | | 27 | 12 | | 28 | 9 | | 29 | 8 | | 30 | 12 | | 31 | 16 | | 32 | 7 | | 33 | 2 | | 34 | 17 | | 35 | 34 | | 36 | 32 | | 37 | 9 | | 38 | 3 | | 39 | 7 | | 40 | 17 | | 41 | 11 | | 42 | 15 | | 43 | 4 | | 44 | 35 | | 45 | 10 | | 46 | 8 | | 47 | 24 | | 48 | 29 | | 49 | 26 |
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| 75.91% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.48514851485148514 | | totalSentences | 101 | | uniqueOpeners | 49 | |
| 43.29% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 77 | | matches | | 0 | "Then Tomás Herrera crossed the" |
| | ratio | 0.013 | |
| 69.35% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 77 | | matches | | 0 | "She checked her watch —" | | 1 | "She knew him from the" | | 2 | "He moved fast for a" | | 3 | "She filed that away and" | | 4 | "She kept half a block" | | 5 | "He was gone." | | 6 | "She scanned doorways, the shallow" | | 7 | "His curly hair was plastered" | | 8 | "He shifted his weight, ready" | | 9 | "He vaulted a stack of" | | 10 | "he called back, not slowing" | | 11 | "He laughed, breathless, and put" | | 12 | "He flagged a cab." | | 13 | "It actually stopped for him" | | 14 | "she said, dropping into the" | | 15 | "They ran north through the" | | 16 | "she said, shoving notes at" | | 17 | "He'd crossed to the far" | | 18 | "She ran the gap between" | | 19 | "He didn't turn around" |
| | ratio | 0.377 | |
| 50.91% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 77 | | matches | | 0 | "The rain had been falling" | | 1 | "Detective Harlow Quinn stood beneath" | | 2 | "She checked her watch —" | | 3 | "Tonight the bar had gone" | | 4 | "She knew him from the" | | 5 | "The file called his discharge" | | 6 | "He moved fast for a" | | 7 | "The streetlamp caught a shape" | | 8 | "Patron of travellers." | | 9 | "She filed that away and" | | 10 | "She kept half a block" | | 11 | "Herrera cut left at the" | | 12 | "He was gone." | | 13 | "Quinn stopped dead." | | 14 | "The street stretched empty ahead," | | 15 | "She scanned doorways, the shallow" | | 16 | "Nothing moved but water." | | 17 | "Herrera stood ten feet behind" | | 18 | "His curly hair was plastered" | | 19 | "The medical bag hung from" |
| | ratio | 0.818 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 2 | | matches | | 0 | "Quinn went after him without deciding to, her boots hitting the flooded pavement in flat, punishing strikes." | | 1 | "She ran the gap between his cab and hers, tyres shrieking somewhere behind, and caught sight of him again — the medallion catching a stray beam of light, once, …" |
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| 58.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 2 | | matches | | 0 | "he called back, not slowing" | | 1 | "She stepped, boots grinding grit, closing half the distance" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 1 | | fancyTags | | 0 | "he called back (call back)" |
| | dialogueSentences | 32 | | tagDensity | 0.281 | | leniency | 0.563 | | rawRatio | 0.111 | | effectiveRatio | 0.063 | |