| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said quietly [quietly]" |
| | dialogueSentences | 27 | | tagDensity | 0.37 | | leniency | 0.741 | | rawRatio | 0.1 | | effectiveRatio | 0.074 | |
| 83.39% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2107 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "sharply" | | 1 | "suddenly" | | 2 | "slowly" | | 3 | "quickly" |
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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) | |
| 66.78% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2107 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "fractured" | | 1 | "flickered" | | 2 | "jaw clenched" | | 3 | "streaming" | | 4 | "echoed" | | 5 | "pulse" | | 6 | "scanning" | | 7 | "tapestry" | | 8 | "flicked" | | 9 | "indexed" | | 10 | "constructed" | | 11 | "silk" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 158 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 158 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 175 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 52 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2089 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 65 | | wordCount | 1732 | | uniqueNames | 24 | | maxNameDensity | 0.87 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 15 | | London | 2 | | Raven | 2 | | Nest | 2 | | Herrera | 14 | | Met | 2 | | Morris | 3 | | Glock | 2 | | Charing | 1 | | Cross | 1 | | Road | 1 | | Camden | 2 | | Tube | 1 | | Veil | 2 | | Market | 2 | | Specialist | 1 | | Operations | 1 | | Saint | 3 | | Christopher | 3 | | Latin | 1 | | Cyrillic | 1 | | Seville | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Herrera" | | 4 | "Met" | | 5 | "Morris" | | 6 | "Glock" | | 7 | "Market" | | 8 | "Saint" | | 9 | "Christopher" |
| | places | | 0 | "Soho" | | 1 | "London" | | 2 | "Charing" | | 3 | "Cross" | | 4 | "Road" | | 5 | "Camden" | | 6 | "Seville" |
| | globalScore | 1 | | windowScore | 1 | |
| 88.02% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 121 | | glossingSentenceCount | 3 | | matches | | 0 | "not quite people—moved between stalls that sold things that should not be sold" | | 1 | "smelled like scorched roses and regret" | | 2 | "looked like human thigh bones and black s" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.479 | | wordCount | 2089 | | matches | | 0 | "not twenty-one, but eighteen years on the force had carved endurance into her bo" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 175 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 58 | | mean | 36.02 | | std | 22.36 | | cv | 0.621 | | sampleLengths | | 0 | 64 | | 1 | 73 | | 2 | 13 | | 3 | 81 | | 4 | 59 | | 5 | 46 | | 6 | 41 | | 7 | 51 | | 8 | 32 | | 9 | 72 | | 10 | 13 | | 11 | 60 | | 12 | 38 | | 13 | 53 | | 14 | 70 | | 15 | 70 | | 16 | 3 | | 17 | 64 | | 18 | 26 | | 19 | 7 | | 20 | 75 | | 21 | 48 | | 22 | 52 | | 23 | 18 | | 24 | 46 | | 25 | 19 | | 26 | 46 | | 27 | 16 | | 28 | 18 | | 29 | 40 | | 30 | 49 | | 31 | 31 | | 32 | 29 | | 33 | 37 | | 34 | 16 | | 35 | 25 | | 36 | 7 | | 37 | 55 | | 38 | 74 | | 39 | 48 | | 40 | 46 | | 41 | 21 | | 42 | 1 | | 43 | 26 | | 44 | 50 | | 45 | 7 | | 46 | 59 | | 47 | 44 | | 48 | 25 | | 49 | 14 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 158 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 301 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 1 | | flaggedSentences | 11 | | totalSentences | 175 | | ratio | 0.063 | | matches | | 0 | "The suspect’s silhouette flickered twenty metres ahead—lean, hooded, moving with the easy grace of someone who knew every back alley in London." | | 1 | "Her closely cropped salt-and-pepper hair clung to her scalp; the worn leather watch on her left wrist grew heavier with every stride." | | 2 | "She could hear his breathing now—steady, controlled." | | 3 | "The tunnel smelled of wet concrete and something sharper—incense, rust, ozone." | | 4 | "Voices echoed ahead—low, urgent, multilingual." | | 5 | "She had heard rumours—every copper who worked the weird beat had—but hearing and seeing were different countries." | | 6 | "Hundreds of people—some not quite people—moved between stalls that sold things that should not be sold." | | 7 | "Her gut— the same gut that had kept her alive for eighteen years—told her that if she lost Herrera now she would never find the thread that led to Morris again." | | 8 | "For a split second their eyes met across the market—his warm brown, hers flat and unyielding." | | 9 | "Faces turned toward them—curious, hostile, hungry." | | 10 | "The owner—a woman with no eyes and too many teeth—nodded once at Herrera and pulled aside a curtain." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1761 | | adjectiveStacks | 1 | | stackExamples | | 0 | "faint green chemical glow" |
| | adverbCount | 60 | | adverbRatio | 0.034071550255536626 | | lyAdverbCount | 20 | | lyAdverbRatio | 0.011357183418512209 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 175 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 175 | | mean | 11.94 | | std | 8.02 | | cv | 0.672 | | sampleLengths | | 0 | 23 | | 1 | 19 | | 2 | 22 | | 3 | 26 | | 4 | 7 | | 5 | 7 | | 6 | 2 | | 7 | 12 | | 8 | 7 | | 9 | 12 | | 10 | 12 | | 11 | 1 | | 12 | 2 | | 13 | 17 | | 14 | 13 | | 15 | 22 | | 16 | 25 | | 17 | 2 | | 18 | 9 | | 19 | 14 | | 20 | 9 | | 21 | 17 | | 22 | 10 | | 23 | 5 | | 24 | 18 | | 25 | 10 | | 26 | 13 | | 27 | 3 | | 28 | 2 | | 29 | 1 | | 30 | 7 | | 31 | 13 | | 32 | 15 | | 33 | 22 | | 34 | 18 | | 35 | 11 | | 36 | 7 | | 37 | 16 | | 38 | 6 | | 39 | 3 | | 40 | 17 | | 41 | 13 | | 42 | 12 | | 43 | 17 | | 44 | 13 | | 45 | 13 | | 46 | 11 | | 47 | 16 | | 48 | 6 | | 49 | 27 |
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| 58.29% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.37714285714285717 | | totalSentences | 175 | | uniqueOpeners | 66 | |
| 89.49% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 149 | | matches | | 0 | "Only a smell like ozone" | | 1 | "Then Herrera gave a single," | | 2 | "Probably no authority at all." | | 3 | "Somewhere far above them, London" |
| | ratio | 0.027 | |
| 93.83% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 47 | | totalSentences | 149 | | matches | | 0 | "She had spotted him slipping" | | 1 | "she shouted, the words half-lost" | | 2 | "He cut left into an" | | 3 | "Her closely cropped salt-and-pepper hair" | | 4 | "She kept her right hand" | | 5 | "She was forty-one, not twenty-one," | | 6 | "He was heading toward Camden." | | 7 | "She could see the distant" | | 8 | "She pushed harder, boots splashing" | | 9 | "She could hear his breathing" | | 10 | "He veered sharply down a" | | 11 | "She skidded to a halt," | | 12 | "She crouched, gripped the edge" | | 13 | "Her boots rang on metal" | | 14 | "She drew her weapon now," | | 15 | "Her pulse hammered against her" | | 16 | "She moved forward, shoulders brushing" | | 17 | "She had heard rumours—every copper" | | 18 | "Her rational mind screamed at" | | 19 | "Her gut— the same gut" |
| | ratio | 0.315 | |
| 43.89% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 124 | | totalSentences | 149 | | matches | | 0 | "The rain came down in" | | 1 | "Detective Harlow Quinn sprinted through" | | 2 | "The suspect’s silhouette flickered twenty" | | 3 | "She had spotted him slipping" | | 4 | "The moment he’d seen her," | | 5 | "That was all the confirmation" | | 6 | "The off-the-books medic who patched" | | 7 | "People the Met didn’t have" | | 8 | "People like the ones who" | | 9 | "she shouted, the words half-lost" | | 10 | "He cut left into an" | | 11 | "Water streamed off fire escapes" | | 12 | "Her closely cropped salt-and-pepper hair" | | 13 | "She kept her right hand" | | 14 | "The alley spat them out" | | 15 | "Herrera vaulted a barricade of" | | 16 | "Quinn followed, jaw clenched so" | | 17 | "She was forty-one, not twenty-one," | | 18 | "Military precision kept her posture" | | 19 | "He was heading toward Camden." |
| | ratio | 0.832 | |
| 67.11% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 149 | | matches | | 0 | "If he made it into" | | 1 | "Now she would live with" |
| | ratio | 0.013 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 81 | | technicalSentenceCount | 9 | | matches | | 0 | "Detective Harlow Quinn sprinted through the downpour, leather soles slapping against wet stone, her breath sawing in her chest." | | 1 | "The suspect’s silhouette flickered twenty metres ahead—lean, hooded, moving with the easy grace of someone who knew every back alley in London." | | 2 | "He veered sharply down a side street that smelled of piss and fried onions, then disappeared behind a row of overflowing bins." | | 3 | "She drew her weapon now, holding it low in a two-handed grip, flashlight clipped beneath the barrel throwing a tight white beam that danced with every step." | | 4 | "In their place stretched a labyrinth of stalls and tents and hanging lanterns that cast blood-red and sulphur-yellow light across the crowd." | | 5 | "She had heard rumours—every copper who worked the weird beat had—but hearing and seeing were different countries." | | 6 | "He bolted again, this time deeper into the market, heading toward a row of stalls that sold things in glass jars that moved on their own." | | 7 | "From somewhere deeper in the market came the sound of breaking glass and a high, keening wail that didn’t belong to anything human." | | 8 | "Herrera led her past a booth selling maps that rewrote themselves and another offering memories in small silver vials." |
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| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, voice low and steady despite the burn in her lungs" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 27 | | tagDensity | 0.259 | | leniency | 0.519 | | rawRatio | 0.143 | | effectiveRatio | 0.074 | |