| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said quietly [quietly]" |
| | dialogueSentences | 21 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.143 | | effectiveRatio | 0.095 | |
| 91.34% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1732 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slowly" | | 1 | "very" | | 2 | "slightly" |
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| 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) | |
| 71.13% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1732 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "echoed" | | 1 | "familiar" | | 2 | "footsteps" | | 3 | "flickered" | | 4 | "dancing" | | 5 | "constructed" | | 6 | "aftermath" | | 7 | "shimmered" | | 8 | "anticipation" |
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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 | 1 | | narrationSentences | 113 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 113 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "started to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 127 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 16 | | totalWords | 1720 | | ratio | 0.009 | | matches | | 0 | "He’ll be at the bar tonight. Don’t mention my name." | | 1 | "Don’t let him reach the Market." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 58 | | wordCount | 1448 | | uniqueNames | 25 | | maxNameDensity | 1.38 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 20 | | Oxford | 1 | | Street | 1 | | Raven | 1 | | Nest | 1 | | Underground | 1 | | Silas | 2 | | Market | 4 | | London | 1 | | County | 1 | | Cork | 1 | | Tube | 2 | | Veil | 1 | | Shoreditch | 1 | | Ashworth | 1 | | Claire | 3 | | Glock | 1 | | Saint | 1 | | Christopher | 1 | | Devlin | 3 | | Tomás | 5 | | Market-goers | 1 | | Morris | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Silas" | | 3 | "Market" | | 4 | "Ashworth" | | 5 | "Claire" | | 6 | "Saint" | | 7 | "Christopher" | | 8 | "Devlin" | | 9 | "Tomás" | | 10 | "Market-goers" | | 11 | "Morris" |
| | places | | 0 | "Soho" | | 1 | "Oxford" | | 2 | "Street" | | 3 | "Raven" | | 4 | "Underground" | | 5 | "London" | | 6 | "County" | | 7 | "Cork" |
| | globalScore | 0.809 | | windowScore | 0.667 | |
| 6.32% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 87 | | glossingSentenceCount | 5 | | matches | | 0 | "felt like two hundred meters, the walls" | | 1 | "tattoos that seemed to move as he flexed his muscles" | | 2 | "quite make out in the shifting light" | | 3 | "not quite blocking her, but close" | | 4 | "something like respect flickering in his bro" |
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| 83.72% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.163 | | wordCount | 1720 | | matches | | 0 | "not quite blocking her, but close" | | 1 | "not just with hostility, but with anticipation" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 127 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 44.1 | | std | 25.89 | | cv | 0.587 | | sampleLengths | | 0 | 70 | | 1 | 57 | | 2 | 84 | | 3 | 61 | | 4 | 47 | | 5 | 90 | | 6 | 20 | | 7 | 53 | | 8 | 55 | | 9 | 45 | | 10 | 48 | | 11 | 11 | | 12 | 65 | | 13 | 98 | | 14 | 83 | | 15 | 50 | | 16 | 56 | | 17 | 1 | | 18 | 18 | | 19 | 87 | | 20 | 14 | | 21 | 15 | | 22 | 54 | | 23 | 3 | | 24 | 35 | | 25 | 30 | | 26 | 6 | | 27 | 45 | | 28 | 33 | | 29 | 37 | | 30 | 25 | | 31 | 70 | | 32 | 47 | | 33 | 55 | | 34 | 31 | | 35 | 73 | | 36 | 19 | | 37 | 14 | | 38 | 15 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 113 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 248 | | matches | | 0 | "was speaking" | | 1 | "was still arguing" | | 2 | "were watching" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 127 | | ratio | 0.071 | | matches | | 0 | "She’d seen it in his eyes when she’d flashed her badge outside The Raven’s Nest ten minutes ago—the moment of animal recognition before he bolted." | | 1 | "But the station was closed—the metal gate half-drawn, the lights beyond it dim." | | 2 | "But there—a service door, slightly ajar, leading into the tunnel beyond the platform’s end." | | 3 | "The passage sloped downward for what felt like two hundred meters, the walls transitioning from modern concrete to old brick, then to something older still—rough stone that might have predated the Tube itself." | | 4 | "The air was thick with competing smells—roasting meat, exotic spices, the metallic tang of ozone like the aftermath of a lightning strike." | | 5 | "But she also had a murderer somewhere in this crowd—a man who’d strangled a twenty-three-year-old waitress and left her body in a dumpster behind a Shoreditch nightclub." | | 6 | "The suspect—Devlin—finished his conversation and began moving again, heading toward another passage on the chamber’s far side." | | 7 | "“I’m not telling you to let him go.” Tomás reached into his pocket and pulled out a small object—a carved bone token, about the size of a coin, inscribed with symbols that matched the ones on his tent." | | 8 | "But she also saw the way the Market-goers were watching her now—not just with hostility, but with anticipation." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1466 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 40 | | adverbRatio | 0.027285129604365622 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.008867667121418827 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 127 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 127 | | mean | 13.54 | | std | 8.59 | | cv | 0.634 | | sampleLengths | | 0 | 15 | | 1 | 17 | | 2 | 24 | | 3 | 14 | | 4 | 3 | | 5 | 14 | | 6 | 11 | | 7 | 24 | | 8 | 5 | | 9 | 23 | | 10 | 8 | | 11 | 25 | | 12 | 18 | | 13 | 6 | | 14 | 4 | | 15 | 16 | | 16 | 13 | | 17 | 13 | | 18 | 4 | | 19 | 15 | | 20 | 7 | | 21 | 10 | | 22 | 5 | | 23 | 3 | | 24 | 4 | | 25 | 18 | | 26 | 2 | | 27 | 21 | | 28 | 14 | | 29 | 17 | | 30 | 14 | | 31 | 22 | | 32 | 10 | | 33 | 10 | | 34 | 15 | | 35 | 20 | | 36 | 18 | | 37 | 9 | | 38 | 12 | | 39 | 8 | | 40 | 12 | | 41 | 14 | | 42 | 11 | | 43 | 18 | | 44 | 1 | | 45 | 15 | | 46 | 33 | | 47 | 12 | | 48 | 3 | | 49 | 11 |
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| 47.77% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.33858267716535434 | | totalSentences | 127 | | uniqueOpeners | 43 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 105 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 105 | | matches | | 0 | "She vaulted the fallen pallets," | | 1 | "She pushed the thought aside." | | 2 | "He was fast, but he" | | 3 | "She’d seen it in his" | | 4 | "*He’ll be at the bar" | | 5 | "She burst onto the main" | | 6 | "He dropped to his knees" | | 7 | "Her right hand hovered near" | | 8 | "She could call for backup." | | 9 | "She’d heard whispers over the" | | 10 | "She’d dismissed it as urban" | | 11 | "She pulled out her torch" | | 12 | "Her torch beam carved a" | | 13 | "She dropped onto the tracks," | | 14 | "She had no jurisdiction here," | | 15 | "She spotted the suspect near" | | 16 | "He was speaking urgently to" | | 17 | "She moved into the crowd," | | 18 | "He was in his late" | | 19 | "He wore a simple linen" |
| | ratio | 0.295 | |
| 50.48% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 86 | | totalSentences | 105 | | matches | | 0 | "The rain came down in" | | 1 | "Detective Harlow Quinn’s shoes slapped" | | 2 | "The clatter echoed off the" | | 3 | "Quinn didn’t slow." | | 4 | "She vaulted the fallen pallets," | | 5 | "The worn leather of her" | | 6 | "She pushed the thought aside." | | 7 | "The alley opened onto a" | | 8 | "He was fast, but he" | | 9 | "She’d seen it in his" | | 10 | "Silas had given her the" | | 11 | "*He’ll be at the bar" | | 12 | "She burst onto the main" | | 13 | "The sign read GOODGE STREET," | | 14 | "The suspect didn’t hesitate." | | 15 | "He dropped to his knees" | | 16 | "Quinn stopped at the entrance," | | 17 | "Her right hand hovered near" | | 18 | "She could call for backup." | | 19 | "She’d heard whispers over the" |
| | ratio | 0.819 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 105 | | matches | (empty) | | ratio | 0 | |
| 28.99% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 69 | | technicalSentenceCount | 11 | | matches | | 0 | "She’d heard whispers over the years, fragments of stationhouse gossip and drunken confessions from informants who thought she wouldn’t believe them." | | 1 | "She’d dismissed it as urban legend, the kind of story that clung to London’s underground like mold." | | 2 | "The stairs descended into stale air that smelled of damp concrete and something older, earthier." | | 3 | "The passage sloped downward for what felt like two hundred meters, the walls transitioning from modern concrete to old brick, then to something older still—roug…" | | 4 | "A woman with pupils like a cat’s, vertical and golden, haggled over a cage of birds whose feathers shimmered with colors that didn’t exist in nature." | | 5 | "At a stall to her left, a vendor with bone-white hair sold glass vials filled with liquids that glowed faintly blue, his fingers too long, too jointed." | | 6 | "But she also had a murderer somewhere in this crowd—a man who’d strangled a twenty-three-year-old waitress and left her body in a dumpster behind a Shoreditch n…" | | 7 | "A man stood in the doorway of a tent constructed from heavy canvas, its sides embroidered with symbols that made her eyes ache if she looked at them too long." | | 8 | "He was in his late twenties, olive-skinned, with short curly dark hair and warm brown eyes that held none of the hostility she’d seen in other faces." | | 9 | "He smiled, a slow, ugly expression that had nothing to do with humor, and then stepped into the darkness beyond." | | 10 | "She thought of the three years of questions she’d been carrying, the door that had opened a crack and was now yawning wide before her." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 21 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 0 | | effectiveRatio | 0 | |