| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.43% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1567 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "really" | | 1 | "perfectly" | | 2 | "softly" |
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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) | |
| 55.33% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1567 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "flickered" | | 1 | "chill" | | 2 | "scanned" | | 3 | "footsteps" | | 4 | "etched" | | 5 | "whisper" | | 6 | "pulsed" | | 7 | "dancing" | | 8 | "shimmered" | | 9 | "coded" | | 10 | "echoed" | | 11 | "charged" |
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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 | 119 | | matches | (empty) | |
| 82.83% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 119 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 122 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1555 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 85.11% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 45 | | wordCount | 1464 | | uniqueNames | 17 | | maxNameDensity | 1.3 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Thames | 1 | | Soho | 2 | | Harlow | 1 | | Quinn | 19 | | British | 1 | | Museum | 1 | | Bloomsbury | 1 | | Covent | 1 | | Garden | 1 | | Glock | 3 | | Chinese | 1 | | Morris | 3 | | Stepney | 1 | | Raven | 3 | | Nest | 4 | | Veil | 1 | | Market | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Glock" | | 3 | "Morris" | | 4 | "Nest" |
| | places | | 0 | "Thames" | | 1 | "Soho" | | 2 | "British" | | 3 | "Bloomsbury" | | 4 | "Covent" | | 5 | "Garden" | | 6 | "Stepney" |
| | globalScore | 0.851 | | windowScore | 1 | |
| 59.64% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 83 | | glossingSentenceCount | 3 | | matches | | 0 | "vibration that seemed to come from the stone itself" | | 1 | "eyes that seemed to follow her, symbols she didn't recognize but felt a primal urge to avoid looking at directly" | | 2 | "not quite human" |
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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 | 1555 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 122 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 44.43 | | std | 26.94 | | cv | 0.606 | | sampleLengths | | 0 | 79 | | 1 | 121 | | 2 | 4 | | 3 | 76 | | 4 | 63 | | 5 | 95 | | 6 | 33 | | 7 | 34 | | 8 | 57 | | 9 | 12 | | 10 | 51 | | 11 | 74 | | 12 | 62 | | 13 | 54 | | 14 | 52 | | 15 | 63 | | 16 | 49 | | 17 | 80 | | 18 | 37 | | 19 | 25 | | 20 | 22 | | 21 | 40 | | 22 | 19 | | 23 | 55 | | 24 | 54 | | 25 | 14 | | 26 | 21 | | 27 | 16 | | 28 | 45 | | 29 | 23 | | 30 | 19 | | 31 | 47 | | 32 | 49 | | 33 | 8 | | 34 | 2 |
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| 87.57% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 119 | | matches | | 0 | "was made" | | 1 | "were clotted" | | 2 | "was gone" | | 3 | "been open" | | 4 | "been buried" | | 5 | "been dropped" |
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| 34.71% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 242 | | matches | | 0 | "was running" | | 1 | "was heading" | | 2 | "was going" | | 3 | "was protecting" | | 4 | "was standing" | | 5 | "was already disappearing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 122 | | ratio | 0.074 | | matches | | 0 | "The suspect—male, medium build, a limp in his left step that suggested an old injury—had been the one to hand off a padded envelope to a woman in a long coat outside the British Museum." | | 1 | "In the three years since her partner, DS Morris, had died—his body found in a drained swimming pool in Stepney with no water in his lungs and no marks on his skin—she had learned that the city had layers." | | 2 | "It was cold, and when she pressed her ear to the metal, she heard a hum—a low, resonant vibration that seemed to come from the stone itself." | | 3 | "She didn't know what it was for—not really—but she had learned that in certain circles, such tokens opened doors." | | 4 | "The air that rushed out was warm and smelled of wet stone, incense, and something metallic—the same ozone-lilies scent." | | 5 | "On the walls were carvings—figures with too many limbs, eyes that seemed to follow her, symbols she didn't recognize but felt a primal urge to avoid looking at directly." | | 6 | "His hood had fallen, and she saw his face—young, pale, scared." | | 7 | "The suspect ducked under a low arch and into a narrower tunnel lined with iron cages that held—Quinn didn't look too closely." | | 8 | "He was standing at the edge of a pit—a deep, circular shaft that dropped into absolute darkness." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1481 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.019581363943281565 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.004726536124240378 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 122 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 122 | | mean | 12.75 | | std | 9.25 | | cv | 0.726 | | sampleLengths | | 0 | 19 | | 1 | 32 | | 2 | 28 | | 3 | 6 | | 4 | 38 | | 5 | 35 | | 6 | 14 | | 7 | 28 | | 8 | 4 | | 9 | 17 | | 10 | 14 | | 11 | 16 | | 12 | 16 | | 13 | 13 | | 14 | 35 | | 15 | 14 | | 16 | 2 | | 17 | 12 | | 18 | 25 | | 19 | 1 | | 20 | 5 | | 21 | 39 | | 22 | 5 | | 23 | 20 | | 24 | 7 | | 25 | 26 | | 26 | 5 | | 27 | 16 | | 28 | 9 | | 29 | 4 | | 30 | 5 | | 31 | 11 | | 32 | 4 | | 33 | 15 | | 34 | 17 | | 35 | 5 | | 36 | 1 | | 37 | 11 | | 38 | 4 | | 39 | 27 | | 40 | 4 | | 41 | 2 | | 42 | 14 | | 43 | 4 | | 44 | 11 | | 45 | 3 | | 46 | 27 | | 47 | 29 | | 48 | 12 | | 49 | 21 |
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| 47.27% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.3524590163934426 | | totalSentences | 122 | | uniqueOpeners | 43 | |
| 59.52% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 112 | | matches | | 0 | "Then he looked at the" | | 1 | "Then he did something Quinn" |
| | ratio | 0.018 | |
| 95.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 112 | | matches | | 0 | "She'd followed from Bloomsbury, through" | | 1 | "Her voice cut through the" | | 2 | "He ducked left into an" | | 3 | "He was heading deeper into" | | 4 | "She needed to see where" | | 5 | "She'd seen him leave the" | | 6 | "She pushed through the gap." | | 7 | "It opened into a small" | | 8 | "She scanned the walls." | | 9 | "It was painted black, almost" | | 10 | "It was cold, and when" | | 11 | "She tried the keyhole." | | 12 | "She had a choice." | | 13 | "She'd found it in the" | | 14 | "She didn't know what it" | | 15 | "She pushed the bone into" | | 16 | "It fit perfectly, clicking into" | | 17 | "She drew her Glock, holding" | | 18 | "She had descended perhaps thirty" | | 19 | "She had found it." |
| | ratio | 0.313 | |
| 49.29% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 92 | | totalSentences | 112 | | matches | | 0 | "The rain came sideways off" | | 1 | "Detective Harlow Quinn kept her" | | 2 | "The suspect was twenty yards" | | 3 | "Quinn had been waiting for" | | 4 | "The suspect—male, medium build, a" | | 5 | "Quinn had flagged it as" | | 6 | "She'd followed from Bloomsbury, through" | | 7 | "Quinn vaulted a low iron" | | 8 | "Her voice cut through the" | | 9 | "He ducked left into an" | | 10 | "The alley stank of stale" | | 11 | "A cat screeched from a" | | 12 | "He was heading deeper into" | | 13 | "Quinn's hand went to the" | | 14 | "She needed to see where" | | 15 | "The suspect turned again, disappearing" | | 16 | "Quinn filed the word away." | | 17 | "Cracks where things slipped through." | | 18 | "This suspect had been in" | | 19 | "She'd seen him leave the" |
| | ratio | 0.821 | |
| 44.64% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 112 | | matches | | | ratio | 0.009 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 60 | | technicalSentenceCount | 12 | | matches | | 0 | "The suspect was twenty yards ahead, a dark shape in a hooded coat that flickered through the gaps between streetlamps and the steam rising from a grid grate." | | 1 | "Three weeks of staking out the art gallery, the one that never seemed to sell anything but stayed open past midnight, staffed by people who moved too quietly an…" | | 2 | "Quinn vaulted a low iron railing, her shoulder brushing the wet metal, and landed in a crouch." | | 3 | "He was heading deeper into the warren of Soho's backstreets, the kind of passageways that existed on no official map, where the cobbles gave way to cracked tarm…" | | 4 | "It was painted black, almost invisible in the shadows, with a small brass plate that read nothing." | | 5 | "It was cold, and when she pressed her ear to the metal, she heard a hum—a low, resonant vibration that seemed to come from the stone itself." | | 6 | "The air that rushed out was warm and smelled of wet stone, incense, and something metallic—the same ozone-lilies scent." | | 7 | "On the walls were carvings—figures with too many limbs, eyes that seemed to follow her, symbols she didn't recognize but felt a primal urge to avoid looking at …" | | 8 | "Lanterns of green and amber fire cast dancing shadows on the faces of vendors and buyers who moved with a purpose that was not quite human." | | 9 | "A woman with steel feathers braided into her hair bartered over bottles that contained swirling smoke." | | 10 | "He was standing at the edge of a pit—a deep, circular shaft that dropped into absolute darkness." | | 11 | "Beneath her, the pit exhaled a gust of warm, damp air that smelled of ancient rot." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 2 | | matches | | 0 | "she shouted, but the word felt hollow here, a child's word in a place that predated any uniform" | | 1 | "He turned, his footsteps ringing on the metal" |
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| 25.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 8 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.5 | | effectiveRatio | 0.25 | |