| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.29% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1348 | | 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) | |
| 40.65% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1348 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "streaming" | | 1 | "flickered" | | 2 | "fractured" | | 3 | "echoing" | | 4 | "footsteps" | | 5 | "standard" | | 6 | "silence" | | 7 | "warmth" | | 8 | "pulsed" | | 9 | "stomach" | | 10 | "familiar" | | 11 | "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 | 164 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 164 | | filterMatches | | | hedgeMatches | | 0 | "happened to" | | 1 | "tried to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 164 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 28 | | totalWords | 1348 | | ratio | 0.021 | | matches | | 0 | "He knows exactly where he's going." | | 1 | "The Veil Market." | | 2 | "You could leave. Call for backup when the radio dries out. Come back with a team, warrants, proper procedure." |
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| 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 | 48 | | wordCount | 1346 | | uniqueNames | 21 | | maxNameDensity | 0.74 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Questions" | | discoveredNames | | Quinn | 10 | | Soho | 1 | | Raven | 2 | | Nest | 2 | | Morris | 6 | | Met | 2 | | Camden | 3 | | London | 3 | | Chalk | 1 | | Farm | 1 | | Road | 1 | | Latin | 1 | | Greek | 1 | | Veil | 2 | | Metropolitan | 1 | | Market | 2 | | Saint | 1 | | Christopher | 1 | | Tube | 1 | | Rain | 3 | | Questions | 3 |
| | persons | | 0 | "Quinn" | | 1 | "Morris" | | 2 | "Met" | | 3 | "Veil" | | 4 | "Saint" | | 5 | "Christopher" | | 6 | "Rain" |
| | places | | 0 | "Soho" | | 1 | "Raven" | | 2 | "London" | | 3 | "Chalk" | | 4 | "Farm" | | 5 | "Road" |
| | globalScore | 1 | | windowScore | 1 | |
| 23.42% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 79 | | glossingSentenceCount | 4 | | matches | | 0 | "looked like desperation" | | 1 | "looked like smoke" | | 2 | "appeared beneath Camden, then vanished before anyone could raid it" | | 3 | "olicing, which apparently meant nothing down" |
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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 | 1348 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 164 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 24.96 | | std | 19.14 | | cv | 0.767 | | sampleLengths | | 0 | 8 | | 1 | 45 | | 2 | 4 | | 3 | 63 | | 4 | 4 | | 5 | 9 | | 6 | 50 | | 7 | 6 | | 8 | 23 | | 9 | 35 | | 10 | 7 | | 11 | 69 | | 12 | 11 | | 13 | 4 | | 14 | 47 | | 15 | 50 | | 16 | 12 | | 17 | 4 | | 18 | 37 | | 19 | 6 | | 20 | 14 | | 21 | 50 | | 22 | 3 | | 23 | 32 | | 24 | 15 | | 25 | 13 | | 26 | 44 | | 27 | 3 | | 28 | 56 | | 29 | 9 | | 30 | 23 | | 31 | 37 | | 32 | 21 | | 33 | 15 | | 34 | 30 | | 35 | 34 | | 36 | 1 | | 37 | 32 | | 38 | 49 | | 39 | 19 | | 40 | 15 | | 41 | 59 | | 42 | 3 | | 43 | 4 | | 44 | 14 | | 45 | 37 | | 46 | 3 | | 47 | 40 | | 48 | 15 | | 49 | 52 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 164 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 232 | | matches | | 0 | "was already cutting" | | 1 | "wasn't just running" | | 2 | "was letting" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 164 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1351 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 48 | | adverbRatio | 0.03552923760177646 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.005921539600296077 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 164 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 164 | | mean | 8.22 | | std | 7.16 | | cv | 0.871 | | sampleLengths | | 0 | 5 | | 1 | 3 | | 2 | 16 | | 3 | 11 | | 4 | 4 | | 5 | 14 | | 6 | 2 | | 7 | 2 | | 8 | 8 | | 9 | 27 | | 10 | 21 | | 11 | 3 | | 12 | 1 | | 13 | 3 | | 14 | 4 | | 15 | 9 | | 16 | 14 | | 17 | 13 | | 18 | 2 | | 19 | 21 | | 20 | 6 | | 21 | 5 | | 22 | 18 | | 23 | 13 | | 24 | 8 | | 25 | 14 | | 26 | 3 | | 27 | 4 | | 28 | 14 | | 29 | 1 | | 30 | 2 | | 31 | 18 | | 32 | 34 | | 33 | 5 | | 34 | 2 | | 35 | 4 | | 36 | 4 | | 37 | 27 | | 38 | 4 | | 39 | 5 | | 40 | 11 | | 41 | 23 | | 42 | 12 | | 43 | 4 | | 44 | 1 | | 45 | 1 | | 46 | 9 | | 47 | 12 | | 48 | 4 | | 49 | 15 |
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| 60.37% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.42073170731707316 | | totalSentences | 164 | | uniqueOpeners | 69 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 131 | | matches | | 0 | "Just sitting there." | | 1 | "Then he'd seen her." | | 2 | "Of course he didn't." | | 3 | "Just a keyhole that gleamed" | | 4 | "Just that keyhole and, scratched" |
| | ratio | 0.038 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 131 | | matches | | 0 | "She blinked hard, refocused." | | 1 | "He knew these streets better" | | 2 | "She'd spotted him outside The" | | 3 | "Her worn leather watch caught" | | 4 | "It just fell, relentless, turning" | | 5 | "He didn't stop." | | 6 | "They burst onto Chalk Farm" | | 7 | "She could use that." | | 8 | "She shook it off." | | 9 | "He wasn't just running." | | 10 | "He was leading." | | 11 | "*He knows exactly where he's" | | 12 | "She tried again." | | 13 | "Her phone was in her" | | 14 | "She kept running." | | 15 | "He'd gone through it." | | 16 | "She could hear his footsteps" | | 17 | "She'd heard the name in" | | 18 | "She'd told herself it was" | | 19 | "They'd been something else." |
| | ratio | 0.191 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 94 | | totalSentences | 131 | | matches | | 0 | "Boots hammered against wet pavement." | | 1 | "Quinn's lungs burned." | | 2 | "The figure ahead veered left" | | 3 | "Rain lashed Quinn's face, obscuring" | | 4 | "She blinked hard, refocused." | | 5 | "The salt-and-pepper crop clung flat" | | 6 | "He knew these streets better" | | 7 | "That was obvious from the" | | 8 | "She'd spotted him outside The" | | 9 | "The chase started before she" | | 10 | "Her worn leather watch caught" | | 11 | "DS Morris had ribbed her" | | 12 | "Morris wasn't around for ribbing" | | 13 | "The thought flickered and died." | | 14 | "The words tore from her" | | 15 | "London's rain didn't care about" | | 16 | "It just fell, relentless, turning" | | 17 | "He didn't stop." | | 18 | "They burst onto Chalk Farm" | | 19 | "A cluster of drinkers outside" |
| | ratio | 0.718 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 131 | | matches | (empty) | | ratio | 0 | |
| 42.86% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 7 | | matches | | 0 | "No room for ghosts when real flesh was ahead, sprinting toward Camden with something that looked like desperation." | | 1 | "She'd told herself it was grief that hollowed him out." | | 2 | "Forty-one years of breathing, and none of them had prepared her for doors that breathed back." | | 3 | "The suspect who ran like he knew the underground by heart, who'd rather vanish into forbidden territory than face a Metropolitan detective with questions." | | 4 | "It swung inward, revealing stairs that descended into amber light and the distant hum of a crowd." | | 5 | "The stairs stretched down, lit by lanterns that hung from nothing, suspended in air that thickened with every step she imagined taking." | | 6 | "The clink of coins that sounded wrong, too light, like currency made from something other than metal." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |