| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 7 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1095 | | 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) | |
| 90.87% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1095 | | totalAiIsms | 2 | | found | | | highlights | | |
| 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 | 55 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 55 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 58 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 53 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1100 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 1059 | | uniqueNames | 10 | | maxNameDensity | 0.66 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 7 | | Camden | 1 | | High | 1 | | Street | 2 | | Sergeant | 1 | | Wexley | 2 | | Bayham | 1 | | Morris | 1 | | London | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Sergeant" | | 3 | "Wexley" | | 4 | "Morris" |
| | places | | 0 | "Camden" | | 1 | "High" | | 2 | "Street" | | 3 | "Bayham" | | 4 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 39 | | glossingSentenceCount | 3 | | matches | | 0 | "something like drums played on materials tha" | | 1 | "not quite music, more a rhythm, drums maybe, or something like drums played on materials that weren't skin and wood" | | 2 | "smelled like it existed sideways to the re" | | 3 | "looked like animal hide" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.909 | | wordCount | 1100 | | matches | | 0 | "not by half, but eighteen years of shift work" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 58 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 39.29 | | std | 27.49 | | cv | 0.7 | | sampleLengths | | 0 | 67 | | 1 | 2 | | 2 | 34 | | 3 | 67 | | 4 | 67 | | 5 | 60 | | 6 | 3 | | 7 | 52 | | 8 | 54 | | 9 | 7 | | 10 | 71 | | 11 | 54 | | 12 | 12 | | 13 | 9 | | 14 | 61 | | 15 | 63 | | 16 | 5 | | 17 | 101 | | 18 | 32 | | 19 | 28 | | 20 | 10 | | 21 | 12 | | 22 | 18 | | 23 | 76 | | 24 | 24 | | 25 | 53 | | 26 | 5 | | 27 | 53 |
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| 92.50% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 55 | | matches | | 0 | "been issued" | | 1 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 168 | | matches | | 0 | "was trying" | | 1 | "was trying" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 58 | | ratio | 0.069 | | matches | | 0 | "She thought of Morris, briefly, the way she always did in moments like this — a flicker of his face in the dark, the smell of his aftershave, the sound he'd made right before he stopped making sounds at all." | | 1 | "The air changed the moment she crossed the threshold — warmer, thicker, carrying a smell like woodsmoke and something metallic underneath it, copper maybe, or old pennies left too long in a damp pocket." | | 2 | "Music drifted up from somewhere further in — not quite music, more a rhythm, drums maybe, or something like drums played on materials that weren't skin and wood." | | 3 | "A man — if he was a man — stood eight feet tall in the shadows near a support pillar, folded in on himself like he was trying to take up less space than his body demanded." |
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| 92.82% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1058 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 51 | | adverbRatio | 0.048204158790170135 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.007561436672967864 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 58 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 58 | | mean | 18.97 | | std | 14.37 | | cv | 0.758 | | sampleLengths | | 0 | 39 | | 1 | 28 | | 2 | 2 | | 3 | 3 | | 4 | 5 | | 5 | 26 | | 6 | 17 | | 7 | 4 | | 8 | 25 | | 9 | 11 | | 10 | 10 | | 11 | 35 | | 12 | 3 | | 13 | 29 | | 14 | 40 | | 15 | 4 | | 16 | 16 | | 17 | 3 | | 18 | 33 | | 19 | 19 | | 20 | 26 | | 21 | 2 | | 22 | 26 | | 23 | 7 | | 24 | 12 | | 25 | 10 | | 26 | 5 | | 27 | 3 | | 28 | 41 | | 29 | 40 | | 30 | 14 | | 31 | 8 | | 32 | 4 | | 33 | 9 | | 34 | 27 | | 35 | 34 | | 36 | 35 | | 37 | 28 | | 38 | 5 | | 39 | 5 | | 40 | 44 | | 41 | 15 | | 42 | 37 | | 43 | 32 | | 44 | 7 | | 45 | 21 | | 46 | 10 | | 47 | 12 | | 48 | 14 | | 49 | 4 |
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| 79.89% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.5517241379310345 | | totalSentences | 58 | | uniqueOpeners | 32 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 53 | | matches | | 0 | "Of course he didn't stop." | | 1 | "Further down the tunnel, past" |
| | ratio | 0.038 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 53 | | matches | | 0 | "He didn't stop." | | 1 | "Her radio crackled against her" | | 2 | "She'd catch it later." | | 3 | "She followed him through a" | | 4 | "Her lungs burned." | | 5 | "she called out, which was" | | 6 | "He didn't stop." | | 7 | "He dropped down a set" | | 8 | "She should wait." | | 9 | "She should call for backup," | | 10 | "She thought of Morris, briefly," | | 11 | "She wiped it away." | | 12 | "she muttered, and went down" | | 13 | "Her torch beam swept across" | | 14 | "She could go back." |
| | ratio | 0.283 | |
| 82.64% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 40 | | totalSentences | 53 | | matches | | 0 | "Rain came down in sheets" | | 1 | "The suspect had maybe thirty" | | 2 | "He didn't stop." | | 3 | "Nobody ever stopped when she" | | 4 | "Her radio crackled against her" | | 5 | "She'd catch it later." | | 6 | "People who ran from her" | | 7 | "This one moved like water" | | 8 | "She followed him through a" | | 9 | "Her lungs burned." | | 10 | "she called out, which was" | | 11 | "Fear had a way of" | | 12 | "He didn't stop." | | 13 | "He dropped down a set" | | 14 | "Quinn skidded to the top" | | 15 | "This was one of the" | | 16 | "The grey hoodie disappeared through" | | 17 | "Quinn's hand found her torch," | | 18 | "Static, then a garbled fragment" | | 19 | "She should wait." |
| | ratio | 0.755 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 53 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 8 | | matches | | 0 | "Rain came down in sheets that turned the sodium streetlights into smeared orange bruises against the dark, and Harlow Quinn's boots hit the pavement hard enough…" | | 1 | "Right now all that mattered was the grey hoodie splashing through puddles, vaulting a low fence with an ease that made her professional instincts prickle." | | 2 | "She followed him through a gap in the fence that tore at her coat sleeve, into the maze of service alleys behind the market stalls, their canvas awnings sagging…" | | 3 | "He dropped down a set of stone steps she hadn't even noticed, half-hidden behind a stack of collapsed market stalls, steps that led down into the dark like the …" | | 4 | "She should call for backup, mark the location, do this by the book the way she'd done everything by the book for eighteen years, the way that had gotten her a c…" | | 5 | "Figures moved between makeshift stalls built from old ticket booths and repurposed shop fittings, their faces catching odd colours from lanterns that burned gre…" | | 6 | "Eighteen years of instinct had never had to account for a market that smelled like it existed sideways to the rest of London, for lanterns that swayed without w…" | | 7 | "Quinn stepped past the woman in the patchwork coat, ignoring the way the woman's smile widened like she'd expected exactly this, and broke back into a run down …" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "she called out (call out)" | | 1 | "she muttered (mutter)" |
| | dialogueSentences | 7 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 1 | | effectiveRatio | 0.571 | |