| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.308 | | leniency | 0.615 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.54% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1120 | | 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) | |
| 10.71% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1120 | | totalAiIsms | 20 | | found | | 0 | | | 1 | | word | "practiced ease" | | count | 1 |
| | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | word | "down her spine" | | count | 1 |
| | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "familiar" | | 1 | "practiced ease" | | 2 | "dance" | | 3 | "echoing" | | 4 | "glint" | | 5 | "chill" | | 6 | "down her spine" | | 7 | "scanned" | | 8 | "flicked" | | 9 | "gloom" | | 10 | "glinting" | | 11 | "velvet" | | 12 | "flickered" | | 13 | "unreadable" | | 14 | "chaotic" | | 15 | "cacophony" | | 16 | "scanning" | | 17 | "intensity" | | 18 | "sense of" | | 19 | "pulsed" |
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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 | 104 | | matches | (empty) | |
| 74.18% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 104 | | filterMatches | | | hedgeMatches | | 0 | "tended to" | | 1 | "started to" | | 2 | "tried to" | | 3 | "appeared 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 | 22 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1126 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 996 | | uniqueNames | 13 | | maxNameDensity | 0.9 | | worstName | "Herrera" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 6 | | Soho | 1 | | Rupert | 1 | | Street | 1 | | Herrera | 9 | | Veil | 2 | | Market | 4 | | November | 1 | | Camden | 1 | | Raven | 1 | | Nest | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Herrera" | | 3 | "Raven" |
| | places | | 0 | "Soho" | | 1 | "Rupert" | | 2 | "Street" |
| | globalScore | 1 | | windowScore | 1 | |
| 82.43% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 74 | | glossingSentenceCount | 2 | | matches | | 0 | "smelled like ozone" | | 1 | "quite focus on" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.888 | | wordCount | 1126 | | matches | | 0 | "Not just by Herrera, but by everyone" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 116 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 32.17 | | std | 21.4 | | cv | 0.665 | | sampleLengths | | 0 | 64 | | 1 | 66 | | 2 | 54 | | 3 | 6 | | 4 | 8 | | 5 | 50 | | 6 | 45 | | 7 | 48 | | 8 | 39 | | 9 | 48 | | 10 | 58 | | 11 | 42 | | 12 | 57 | | 13 | 4 | | 14 | 50 | | 15 | 14 | | 16 | 8 | | 17 | 15 | | 18 | 7 | | 19 | 19 | | 20 | 16 | | 21 | 21 | | 22 | 48 | | 23 | 25 | | 24 | 43 | | 25 | 15 | | 26 | 2 | | 27 | 64 | | 28 | 7 | | 29 | 5 | | 30 | 18 | | 31 | 67 | | 32 | 53 | | 33 | 25 | | 34 | 15 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 104 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 164 | | matches | | 0 | "was talking" | | 1 | "were exchanging" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 116 | | ratio | 0.06 | | matches | | 0 | "Muscles protested – a dull ache in her shoulder, a twinge in her knee." | | 1 | "But a glint of metal caught her eye - a small, ornate bone token lying abandoned on the grimy pavement." | | 2 | "A known haunt for the clique – the group of ‘collectors’ and ‘enthusiasts’ she’d been investigating." | | 3 | "The walls were lined with graffiti - strange symbols, glyphs she didn’t recognise." | | 4 | "Flickering candlelight illuminated displays of bizarre objects – desiccated herbs, glass vials filled with iridescent liquids, antique weapons glinting in the half-light." | | 5 | "She passed a stall piled high with books bound in strange materials – leather, bone, even what appeared to be human skin." | | 6 | "They were exchanging something – a small vial filled with a swirling, crimson liquid." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 143 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 4 | | adverbRatio | 0.027972027972027972 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.006993006993006993 | |
| 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 | 9.71 | | std | 5.53 | | cv | 0.57 | | sampleLengths | | 0 | 18 | | 1 | 12 | | 2 | 16 | | 3 | 1 | | 4 | 2 | | 5 | 15 | | 6 | 18 | | 7 | 14 | | 8 | 9 | | 9 | 3 | | 10 | 16 | | 11 | 6 | | 12 | 11 | | 13 | 13 | | 14 | 10 | | 15 | 20 | | 16 | 3 | | 17 | 3 | | 18 | 5 | | 19 | 3 | | 20 | 15 | | 21 | 12 | | 22 | 10 | | 23 | 11 | | 24 | 2 | | 25 | 18 | | 26 | 2 | | 27 | 16 | | 28 | 4 | | 29 | 5 | | 30 | 5 | | 31 | 9 | | 32 | 10 | | 33 | 5 | | 34 | 5 | | 35 | 14 | | 36 | 11 | | 37 | 14 | | 38 | 7 | | 39 | 1 | | 40 | 6 | | 41 | 4 | | 42 | 1 | | 43 | 2 | | 44 | 5 | | 45 | 8 | | 46 | 13 | | 47 | 9 | | 48 | 6 | | 49 | 8 |
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| 59.77% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.4051724137931034 | | totalSentences | 116 | | uniqueOpeners | 47 | |
| 35.84% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 93 | | matches | | | ratio | 0.011 | |
| 86.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 93 | | matches | | 0 | "She tasted grit, a familiar" | | 1 | "He moved with a practiced" | | 2 | "She ignored it." | | 3 | "She drew her service weapon," | | 4 | "Her jaw tightened." | | 5 | "She knew what that meant." | | 6 | "She’d dismissed it as folklore," | | 7 | "He’d circled around the back." | | 8 | "They glanced up as she" | | 9 | "She didn’t bother with them." | | 10 | "They weren't worth the time." | | 11 | "She followed Herrera’s trail, squeezing" | | 12 | "She tested the door." | | 13 | "She descended the fire escape," | | 14 | "She flicked on her flashlight," | | 15 | "She’d chased suspects through underground" | | 16 | "She turned, her hand instinctively" | | 17 | "She wore a long, velvet" | | 18 | "She holstered her weapon." | | 19 | "She started to move, weaving" |
| | ratio | 0.333 | |
| 62.15% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 93 | | matches | | 0 | "Rain lashed against Detective Harlow" | | 1 | "She tasted grit, a familiar" | | 2 | "He moved with a practiced" | | 3 | "Quinn pushed off from the" | | 4 | "Muscles protested – a dull" | | 5 | "She ignored it." | | 6 | "This pursuit had been weeks" | | 7 | "Tonight, she intended to close" | | 8 | "The alley stank of stale" | | 9 | "She drew her service weapon," | | 10 | "Herrera was quick, gone before" | | 11 | "Her jaw tightened." | | 12 | "A bone token." | | 13 | "She knew what that meant." | | 14 | "The Veil Market." | | 15 | "A chill that had nothing" | | 16 | "The Market was just a" | | 17 | "An underground bazaar for the" | | 18 | "She’d dismissed it as folklore," | | 19 | "The alley opened onto a" |
| | ratio | 0.796 | |
| 53.76% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 93 | | matches | | 0 | "Before her stretched a twisted" |
| | ratio | 0.011 | |
| 98.21% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 48 | | technicalSentenceCount | 3 | | matches | | 0 | "She followed Herrera’s trail, squeezing between overflowing bins and a stack of discarded crates." | | 1 | "She started to move, weaving through the stalls, her eyes scanning for any sign of Herrera." | | 2 | "He turned his back to her, giving her a clear view of the scar that bisected his left forearm." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | 0 | "Quinn kept, refusing to betray her unease" |
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| 73.08% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 13 | | tagDensity | 0.077 | | leniency | 0.154 | | rawRatio | 1 | | effectiveRatio | 0.154 | |