| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 96.07% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1271 | | 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) | |
| 52.79% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1271 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "could feel" | | 1 | "chill" | | 2 | "whisper" | | 3 | "pulse" | | 4 | "flickered" | | 5 | "footsteps" | | 6 | "echoed" | | 7 | "porcelain" | | 8 | "intricate" | | 9 | "scanned" | | 10 | "weight" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "The air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 113 | | matches | (empty) | |
| 92.29% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 113 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 113 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1252 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 43 | | wordCount | 1252 | | uniqueNames | 27 | | maxNameDensity | 0.88 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 11 | | Greek | 1 | | Street | 1 | | Soho | 1 | | Silversmith | 3 | | London | 1 | | Morris | 2 | | Raven | 1 | | Nest | 1 | | Glock | 1 | | Metropolitan | 1 | | Police | 1 | | Hackney | 1 | | Elephant | 1 | | Castle | 1 | | Acton | 1 | | Tube | 1 | | Christmas | 1 | | Veil | 1 | | Market | 1 | | Tomás | 1 | | Herrera | 1 | | Saint | 1 | | Christopher | 1 | | Met | 1 | | Three | 4 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Raven" | | 4 | "Castle" | | 5 | "Christmas" | | 6 | "Market" | | 7 | "Tomás" | | 8 | "Herrera" | | 9 | "Saint" | | 10 | "Christopher" |
| | places | | 0 | "Greek" | | 1 | "Street" | | 2 | "Soho" | | 3 | "London" | | 4 | "Elephant" | | 5 | "Acton" |
| | globalScore | 1 | | windowScore | 1 | |
| 11.11% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 4 | | matches | | 0 | "quite label but knew, in her gut, was wrong" | | 1 | "photographs that seemed to watch her with dead eyes" | | 2 | "drumbeat that seemed to mock her" | | 3 | "looked like teeth" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.799 | | wordCount | 1252 | | matches | | 0 | "not toward the bar but toward a bookshelf at the back" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 113 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 27 | | mean | 46.37 | | std | 24.21 | | cv | 0.522 | | sampleLengths | | 0 | 57 | | 1 | 77 | | 2 | 60 | | 3 | 87 | | 4 | 44 | | 5 | 60 | | 6 | 7 | | 7 | 48 | | 8 | 57 | | 9 | 54 | | 10 | 5 | | 11 | 80 | | 12 | 50 | | 13 | 31 | | 14 | 13 | | 15 | 53 | | 16 | 81 | | 17 | 48 | | 18 | 72 | | 19 | 20 | | 20 | 76 | | 21 | 36 | | 22 | 2 | | 23 | 45 | | 24 | 44 | | 25 | 30 | | 26 | 15 |
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| 95.95% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 113 | | matches | | 0 | "was swallowed" | | 1 | "been torn" | | 2 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 203 | | matches | | 0 | "was already moving" | | 1 | "was haggling" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 19 | | semicolonCount | 0 | | flaggedSentences | 13 | | totalSentences | 113 | | ratio | 0.115 | | matches | | 0 | "The figure ahead—hooded, slight, moving with the desperate grace of a cornered animal—glanced back once, saw her, and bolted." | | 1 | "The suspect cut left into a narrow alley—a shortcut, probably, one of those Soho arteries that smelled of stale beer and last night's regret." | | 2 | "Not the person—the lead." | | 3 | "She could see details now—the frayed cuff of a denim jacket, the white of a knuckle gripping something in a pocket." | | 4 | "Quinn knew the name—it had come up in passing, a neutral ground, a place where people who didn't want to be seen went to not be seen." | | 5 | "The air smelled of spilled whisky and something else—something metallic, like ozone after a lightning strike." | | 6 | "She watched as the kid pressed something—a book, a hidden latch—and the shelf swung inward, revealing a narrow staircase descending into darkness." | | 7 | "But this—this felt different." | | 8 | "Follow the suspect into unknown territory, with no backup, no comms—her radio had been dead since the rain started—and no idea what waited below." | | 9 | "She kept her hand on the railing—cold iron, rusted in places—and descended." | | 10 | "Strings of lights crisscrossed overhead—fairy bulbs, Christmas lights, a few strips of neon—casting the whole place in a sickly, shifting glow." | | 11 | "A man with a scar running along his forearm—Tomás Herrera, she recognized from a file—caught her eye and stepped back, his hand moving to a Saint Christopher medallion around his neck." | | 12 | "In the center stood a figure—not the kid." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1280 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.02265625 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.00703125 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 113 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 113 | | mean | 11.08 | | std | 8.32 | | cv | 0.751 | | sampleLengths | | 0 | 14 | | 1 | 24 | | 2 | 19 | | 3 | 4 | | 4 | 8 | | 5 | 29 | | 6 | 29 | | 7 | 4 | | 8 | 3 | | 9 | 24 | | 10 | 4 | | 11 | 21 | | 12 | 11 | | 13 | 8 | | 14 | 4 | | 15 | 21 | | 16 | 7 | | 17 | 25 | | 18 | 13 | | 19 | 4 | | 20 | 5 | | 21 | 19 | | 22 | 12 | | 23 | 5 | | 24 | 8 | | 25 | 4 | | 26 | 2 | | 27 | 1 | | 28 | 21 | | 29 | 17 | | 30 | 1 | | 31 | 3 | | 32 | 1 | | 33 | 1 | | 34 | 4 | | 35 | 3 | | 36 | 2 | | 37 | 7 | | 38 | 15 | | 39 | 2 | | 40 | 27 | | 41 | 4 | | 42 | 21 | | 43 | 16 | | 44 | 7 | | 45 | 13 | | 46 | 16 | | 47 | 14 | | 48 | 2 | | 49 | 22 |
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| 46.90% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.34513274336283184 | | totalSentences | 113 | | uniqueOpeners | 39 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 98 | | matches | | 0 | "Instead she pushed harder, her" | | 1 | "Maybe early twenties." | | 2 | "Just a courier." |
| | ratio | 0.031 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 98 | | matches | | 0 | "She didn't call out." | | 1 | "She'd been worse." | | 2 | "Her hip brushed a overflowing" | | 3 | "She'd been chasing this one" | | 4 | "Her partner, DS Morris, had" | | 5 | "She closed the gap." | | 6 | "She could see details now—the" | | 7 | "She followed him inside." | | 8 | "She watched as the kid" | | 9 | "She was a Metropolitan Police" | | 10 | "She'd kicked down doors in" | | 11 | "She had a choice." | | 12 | "Her footsteps echoed in the" | | 13 | "She kept her hand on" | | 14 | "She'd heard whispers about it," | | 15 | "She didn't have a token." | | 16 | "She had a badge and" | | 17 | "She didn't draw, but she" | | 18 | "She scanned the crowd." | | 19 | "She pushed forward, shouldering through" |
| | ratio | 0.235 | |
| 82.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 98 | | matches | | 0 | "Detective Harlow Quinn kept her" | | 1 | "The figure ahead—hooded, slight, moving" | | 2 | "She didn't call out." | | 3 | "That would only buy them" | | 4 | "The rain had soaked through" | | 5 | "She'd been worse." | | 6 | "The suspect cut left into" | | 7 | "Quinn followed without hesitation." | | 8 | "Her hip brushed a overflowing" | | 9 | "Water gushed from it, drenching" | | 10 | "She'd been chasing this one" | | 11 | "The name that kept surfacing" | | 12 | "A man who called himself" | | 13 | "A man who moved through" | | 14 | "Her partner, DS Morris, had" | | 15 | "Quinn slammed her shoulder into" | | 16 | "The suspect was already halfway" | | 17 | "A taxi blared its horn." | | 18 | "The driver's curse was swallowed" | | 19 | "She closed the gap." |
| | ratio | 0.755 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 98 | | matches | (empty) | | ratio | 0 | |
| 38.96% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 8 | | matches | | 0 | "The suspect cut left into a narrow alley—a shortcut, probably, one of those Soho arteries that smelled of stale beer and last night's regret." | | 1 | "The name that kept surfacing in every interview, every scrap of paper, every whisper from informants who wouldn't meet her eyes." | | 2 | "A man who moved through London like a ghost, leaving behind traces of something she couldn't quite label but knew, in her gut, was wrong." | | 3 | "The bar was dim, the walls covered in old maps and black-and-white photographs that seemed to watch her with dead eyes." | | 4 | "The only light came from a string of bare bulbs that flickered like dying fireflies." | | 5 | "The old tiles were still there, pale green and cracked, but the tracks had been torn up, replaced by a warren of stalls and tents and makeshift structures that …" | | 6 | "A hidden marketplace that moved locations every full moon, accessible only with a bone token." | | 7 | "Quinn saw figures in heavy coats, faces obscured by scarves and hoods and, in one case, a porcelain mask that stared at her with empty eyeholes." |
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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 | |