| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 1 | | adverbTags | | 0 | "Veyne’s cane tapped again [again]" |
| | dialogueSentences | 37 | | tagDensity | 0.297 | | leniency | 0.595 | | rawRatio | 0.091 | | effectiveRatio | 0.054 | |
| 97.05% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1695 | | 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) | |
| 26.25% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1695 | | totalAiIsms | 25 | | found | | | highlights | | 0 | "shattered" | | 1 | "flickered" | | 2 | "oppressive" | | 3 | "gloom" | | 4 | "raced" | | 5 | "weight" | | 6 | "unreadable" | | 7 | "pulse" | | 8 | "aftermath" | | 9 | "shimmered" | | 10 | "wavering" | | 11 | "lurched" | | 12 | "flicked" | | 13 | "pulsed" | | 14 | "complex" | | 15 | "stomach" | | 16 | "whisper" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 167 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 167 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 191 | | 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 | 11 | | markdownWords | 49 | | totalWords | 1681 | | ratio | 0.029 | | matches | | 0 | "Tommy’s crew" | | 1 | "Wasting your time, Detective." | | 2 | "Morris would’ve kept up." | | 3 | "Silas." | | 4 | "Stupid, stupid." | | 5 | "alive." | | 6 | "Think like Morris. He’d have a contingency." | | 7 | "fixer, information broker, someone who knows where the bodies are buried." | | 8 | "Expecting? How the hell do they know my name?" | | 9 | "He’d been watching her." | | 10 | "No. No, no, no." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 79 | | wordCount | 1468 | | uniqueNames | 16 | | maxNameDensity | 1.91 | | worstName | "Quinn" | | maxWindowNameDensity | 6 | | worstWindowName | "Veyne" | | discoveredNames | | Quinn | 28 | | Kilburn | 1 | | Well | 1 | | Ahead | 2 | | Tube | 2 | | Tommy | 2 | | Raven | 2 | | Nest | 2 | | Morris | 4 | | Silas | 13 | | Let | 1 | | Elias | 1 | | Veil | 1 | | Market | 1 | | Veyne | 17 | | Testing | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Tube" | | 2 | "Tommy" | | 3 | "Raven" | | 4 | "Morris" | | 5 | "Silas" | | 6 | "Elias" | | 7 | "Veyne" |
| | places | | | globalScore | 0.546 | | windowScore | 0 | |
| 46.91% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 97 | | glossingSentenceCount | 4 | | matches | | 0 | "quite sympathy" | | 1 | "looked like" | | 2 | "looked like finger bones" | | 3 | "looked like it belonged in a museum displ" |
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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 | 1681 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 191 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 74 | | mean | 22.72 | | std | 18.87 | | cv | 0.831 | | sampleLengths | | 0 | 82 | | 1 | 29 | | 2 | 67 | | 3 | 38 | | 4 | 39 | | 5 | 31 | | 6 | 22 | | 7 | 36 | | 8 | 59 | | 9 | 24 | | 10 | 43 | | 11 | 43 | | 12 | 11 | | 13 | 14 | | 14 | 14 | | 15 | 23 | | 16 | 6 | | 17 | 94 | | 18 | 46 | | 19 | 39 | | 20 | 54 | | 21 | 67 | | 22 | 19 | | 23 | 16 | | 24 | 26 | | 25 | 14 | | 26 | 4 | | 27 | 4 | | 28 | 24 | | 29 | 13 | | 30 | 9 | | 31 | 20 | | 32 | 10 | | 33 | 34 | | 34 | 9 | | 35 | 4 | | 36 | 4 | | 37 | 21 | | 38 | 42 | | 39 | 5 | | 40 | 28 | | 41 | 12 | | 42 | 20 | | 43 | 12 | | 44 | 15 | | 45 | 7 | | 46 | 6 | | 47 | 28 | | 48 | 31 | | 49 | 13 |
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| 98.96% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 167 | | matches | | 0 | "are buried" | | 1 | "was gone" | | 2 | "was distorted" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 258 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 17 | | semicolonCount | 0 | | flaggedSentences | 16 | | totalSentences | 191 | | ratio | 0.084 | | matches | | 0 | "The suspect—a wiry figure in a waterproof jacket—darted left down a narrow alley between two boarded-up shops, their movements too precise to be random, too fast to be human." | | 1 | "Eighteen years on the force, and her body still remembered what her mind refused to forget—*Morris would’ve kept up.*" | | 2 | "Then they turned—and Quinn saw the face for the first time." | | 3 | "Inside, the air smelled of damp concrete and something older—something that made her skin prickle." | | 4 | "Not just damp—*alive.* The scent of burning herbs, of old coins, of something metallic that didn’t belong anywhere human." | | 5 | "Then she heard it—the murmur of voices, the clink of glass, the occasional laugh that sounded too sharp, too knowing." | | 6 | "Then Silas’s voice cut through the dark, sharp as a blade—\"Let her through, Elias.\"" | | 7 | "Strange lights flickered from jars filled with things Quinn didn’t want to identify, their glow painting the faces of the market-goers in sickly hues—deep purple, bruise-blue, the colour of bad veins." | | 8 | "Quinn kept her distance, but the press of bodies made her visibility fluctuate—now she could see the crown of his head, now the back of a bulky coat obscured him." | | 9 | "She’d seen the aftermath of people who’d wandered into places like this—their bodies found days later in sealed rooms, mouths sewn shut, eyes replaced with coins." | | 10 | "They exchanged words Quinn couldn’t hear over the noise of the market—laughter, the tinkling of a glass ornament stall, the wheezing of an accordion playing some off-key tune in a corner." | | 11 | "Something worse—a curved blade that looked like it belonged in a museum display case." | | 12 | "Then—movement." | | 13 | "She’d heard whispers of him in the station—*fixer, information broker, someone who knows where the bodies are buried.*" | | 14 | "Quinn’s memory flashed—her sitting at the bar in The Raven’s Nest, the scent of whisky and old paper, Silas polishing a glass with deliberate slowness." | | 15 | "Her reflection in its polished surface was distorted—her jaw too sharp, her eyes too dark." |
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| 93.11% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 707 | | adjectiveStacks | 1 | | stackExamples | | 0 | "same loose-limbed stride" |
| | adverbCount | 29 | | adverbRatio | 0.04101838755304102 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0014144271570014145 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 191 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 191 | | mean | 8.8 | | std | 6.98 | | cv | 0.793 | | sampleLengths | | 0 | 26 | | 1 | 29 | | 2 | 4 | | 3 | 2 | | 4 | 21 | | 5 | 7 | | 6 | 1 | | 7 | 2 | | 8 | 9 | | 9 | 10 | | 10 | 22 | | 11 | 4 | | 12 | 22 | | 13 | 19 | | 14 | 18 | | 15 | 11 | | 16 | 8 | | 17 | 1 | | 18 | 6 | | 19 | 33 | | 20 | 19 | | 21 | 12 | | 22 | 3 | | 23 | 19 | | 24 | 15 | | 25 | 15 | | 26 | 6 | | 27 | 17 | | 28 | 7 | | 29 | 15 | | 30 | 20 | | 31 | 5 | | 32 | 19 | | 33 | 4 | | 34 | 19 | | 35 | 20 | | 36 | 16 | | 37 | 14 | | 38 | 9 | | 39 | 4 | | 40 | 8 | | 41 | 3 | | 42 | 3 | | 43 | 4 | | 44 | 7 | | 45 | 14 | | 46 | 13 | | 47 | 10 | | 48 | 6 | | 49 | 19 |
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| 47.47% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.33507853403141363 | | totalSentences | 191 | | uniqueOpeners | 64 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 149 | | matches | | 0 | "Then they turned—and Quinn saw" | | 1 | "Then she heard it—the murmur" | | 2 | "Then Silas’s voice cut through" | | 3 | "Then Silas pulled a bone" | | 4 | "Once Silas passed through, that" | | 5 | "Instead, he circled her, his" |
| | ratio | 0.04 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 149 | | matches | | 0 | "She recognised that gait." | | 1 | "She risked a glance over" | | 2 | "She vaulted over a rusted" | | 3 | "Her torch was still in" | | 4 | "She stuffed the phone back" | | 5 | "She rounded the final bend" | | 6 | "His gloved hand shot out" | | 7 | "His skin was ice." | | 8 | "he said, voice like dry" | | 9 | "She didn’t have one." | | 10 | "She wrenched her arm free" | | 11 | "She’d seen the aftermath of" | | 12 | "They exchanged words Quinn couldn’t" | | 13 | "She wouldn’t get another chance." | | 14 | "She lurched forward, shoving past" | | 15 | "He’d have a contingency.*" | | 16 | "She dropped her voice, let" | | 17 | "It still shimmered." | | 18 | "He carried a cane with" | | 19 | "She’d heard whispers of him" |
| | ratio | 0.221 | |
| 57.32% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 120 | | totalSentences | 149 | | matches | | 0 | "The pavement slicked under Quinn’s" | | 1 | "The suspect—a wiry figure in" | | 2 | "She recognised that gait." | | 3 | "The same loose-limbed stride she’d" | | 4 | "She risked a glance over" | | 5 | "The alley opened into a" | | 6 | "The suspect hadn’t slowed." | | 7 | "Quinn’s lungs burned, but she" | | 8 | "The owner of The Raven’s" | | 9 | "The man who poured her" | | 10 | "Silas’s dark eyes locked onto" | | 11 | "A gap in the boarded-up" | | 12 | "Quinn didn’t hesitate." | | 13 | "She vaulted over a rusted" | | 14 | "A weak torchlight flickered fifty" | | 15 | "Silas’s silhouette vanished around the" | | 16 | "The staircase was narrow, the" | | 17 | "Her torch was still in" | | 18 | "The screen cast jagged shadows" | | 19 | "Halfway down, the torch died." |
| | ratio | 0.805 | |
| 33.56% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 149 | | matches | | 0 | "Before she could stop herself," |
| | ratio | 0.007 | |
| 48.52% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | technicalSentenceCount | 7 | | matches | | 0 | "Inside, the air smelled of damp concrete and something older—something that made her skin prickle." | | 1 | "She stuffed the phone back in her pocket and kept moving, her fingers brushing the cold, damp tunnel walls." | | 2 | "Then she heard it—the murmur of voices, the clink of glass, the occasional laugh that sounded too sharp, too knowing." | | 3 | "She’d seen the aftermath of people who’d wandered into places like this—their bodies found days later in sealed rooms, mouths sewn shut, eyes replaced with coin…" | | 4 | "Then Silas pulled a bone token from his pocket, its surface carved with spirals that made Quinn’s eyes ache if she looked at it too long." | | 5 | "She’d heard whispers of him in the station—*fixer, information broker, someone who knows where the bodies are buried.*" | | 6 | "Things that might finally explain why the official report called it a tragic accident during a routine stop-and-search." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 37 | | tagDensity | 0.108 | | leniency | 0.216 | | rawRatio | 0.25 | | effectiveRatio | 0.054 | |