| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 40 | | tagDensity | 0.35 | | leniency | 0.7 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.38% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1383 | | 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) | |
| 56.62% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1383 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "echoed" | | 1 | "pulse" | | 2 | "footsteps" | | 3 | "unspoken" | | 4 | "glinting" | | 5 | "familiar" | | 6 | "stomach" | | 7 | "flickered" | | 8 | "raced" |
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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 | 117 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 117 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 145 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 6 | | markdownWords | 8 | | totalWords | 1378 | | ratio | 0.006 | | matches | | 0 | "Too confident." | | 1 | "Cop." | | 2 | "Too familiar." | | 3 | "unsolved" | | 4 | "ripped" | | 5 | "thing" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 1119 | | uniqueNames | 12 | | maxNameDensity | 1.25 | | worstName | "Harlow" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Harlow" | | discoveredNames | | Harlow | 14 | | Quinn | 1 | | Soho | 2 | | Raven | 1 | | Nest | 2 | | Veil | 1 | | Market | 1 | | Tomás | 8 | | Herrera | 1 | | Saint | 1 | | Christopher | 1 | | Morris | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Nest" | | 4 | "Tomás" | | 5 | "Herrera" | | 6 | "Saint" | | 7 | "Christopher" | | 8 | "Morris" |
| | places | | | globalScore | 0.874 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 81 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1378 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 145 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 32.81 | | std | 24.9 | | cv | 0.759 | | sampleLengths | | 0 | 84 | | 1 | 69 | | 2 | 74 | | 3 | 79 | | 4 | 84 | | 5 | 49 | | 6 | 48 | | 7 | 12 | | 8 | 21 | | 9 | 32 | | 10 | 33 | | 11 | 9 | | 12 | 19 | | 13 | 13 | | 14 | 48 | | 15 | 1 | | 16 | 16 | | 17 | 28 | | 18 | 17 | | 19 | 52 | | 20 | 11 | | 21 | 17 | | 22 | 66 | | 23 | 55 | | 24 | 27 | | 25 | 13 | | 26 | 21 | | 27 | 36 | | 28 | 8 | | 29 | 10 | | 30 | 29 | | 31 | 5 | | 32 | 60 | | 33 | 11 | | 34 | 76 | | 35 | 59 | | 36 | 15 | | 37 | 10 | | 38 | 34 | | 39 | 8 | | 40 | 1 | | 41 | 18 |
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| 96.27% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 117 | | matches | | 0 | "was swallowed" | | 1 | "was obscured" | | 2 | "was stretched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 199 | | matches | (empty) | |
| 24.63% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 145 | | ratio | 0.041 | | matches | | 0 | "Her breath came sharp, controlled—eighteen years of service had taught her the rhythm of a chase." | | 1 | "There—movement." | | 2 | "The air changed instantly—thicker, laced with the scent of damp stone and something older, something that prickled the hairs on the back of her neck." | | 3 | "The bar’s hidden back room flashed through her mind—Silas’ place, a hub for whispers and deals that never saw daylight." | | 4 | "She’d heard the stories—black market for things that didn’t exist, not really." | | 5 | "And the tunnel—" |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 421 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 6 | | adverbRatio | 0.014251781472684086 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0023752969121140144 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 145 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 145 | | mean | 9.5 | | std | 6.03 | | cv | 0.635 | | sampleLengths | | 0 | 23 | | 1 | 16 | | 2 | 20 | | 3 | 3 | | 4 | 22 | | 5 | 4 | | 6 | 9 | | 7 | 16 | | 8 | 1 | | 9 | 9 | | 10 | 11 | | 11 | 4 | | 12 | 15 | | 13 | 14 | | 14 | 25 | | 15 | 6 | | 16 | 9 | | 17 | 10 | | 18 | 5 | | 19 | 5 | | 20 | 8 | | 21 | 23 | | 22 | 20 | | 23 | 5 | | 24 | 13 | | 25 | 10 | | 26 | 13 | | 27 | 13 | | 28 | 17 | | 29 | 3 | | 30 | 12 | | 31 | 7 | | 32 | 19 | | 33 | 10 | | 34 | 2 | | 35 | 3 | | 36 | 3 | | 37 | 24 | | 38 | 7 | | 39 | 17 | | 40 | 20 | | 41 | 11 | | 42 | 5 | | 43 | 7 | | 44 | 14 | | 45 | 7 | | 46 | 14 | | 47 | 12 | | 48 | 6 | | 49 | 21 |
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| 38.28% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.2827586206896552 | | totalSentences | 145 | | uniqueOpeners | 41 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 102 | | matches | | 0 | "*Too confident.* That was the" | | 1 | "Too many civilians." | | 2 | "Too many unknowns." | | 3 | "Then the tunnel *ripped*, the" |
| | ratio | 0.039 | |
| 94.51% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 102 | | matches | | 0 | "Her breath came sharp, controlled—eighteen" | | 1 | "She didn’t slow." | | 2 | "She skidded past a shuttered" | | 3 | "She knew this game." | | 4 | "She hesitated for half a" | | 5 | "She descended, her free hand" | | 6 | "She’d heard the stories—black market" | | 7 | "His olive skin was slick" | | 8 | "She didn’t break stride" | | 9 | "He pushed off the stall," | | 10 | "Her eyes locked onto the" | | 11 | "Their face was obscured by" | | 12 | "His scarred forearm flexed as" | | 13 | "He grabbed her arm, his" | | 14 | "She shook him off." | | 15 | "His voice dropped, urgent" | | 16 | "Her stomach twisted." | | 17 | "He jerked his chin toward" | | 18 | "Their movements were jerky, unnatural," | | 19 | "Their hood fell back, revealing" |
| | ratio | 0.314 | |
| 4.12% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 93 | | totalSentences | 102 | | matches | | 0 | "The pavement slick beneath her" | | 1 | "Her breath came sharp, controlled—eighteen" | | 2 | "The rain hammered down, turning" | | 3 | "She didn’t slow." | | 4 | "The leather watch on her" | | 5 | "A crash echoed ahead." | | 6 | "A bin toppled, its lid" | | 7 | "She skidded past a shuttered" | | 8 | "A shadow, slight but deliberate," | | 9 | "Harlow’s pulse thrummed in her" | | 10 | "She knew this game." | | 11 | "The doorway led to a" | | 12 | "The air changed instantly—thicker, laced" | | 13 | "She hesitated for half a" | | 14 | "The suspect’s footsteps echoed below," | | 15 | "This one had a destination." | | 16 | "She descended, her free hand" | | 17 | "The green neon of The" | | 18 | "The bar’s hidden back room" | | 19 | "The stairs twisted, the walls" |
| | ratio | 0.912 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 102 | | matches | (empty) | | ratio | 0 | |
| 58.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 6 | | matches | | 0 | "The air changed instantly—thicker, laced with the scent of damp stone and something older, something that prickled the hairs on the back of her neck." | | 1 | "A woman with a scarf wrapped tight around her head eyed her as she passed, her gaze lingering on the detective’s coat, her bearing." | | 2 | "Their hood fell back, revealing a face that made Harlow’s blood turn to ice." | | 3 | "Tomás yanked her back as the thing that had been her suspect lunged." | | 4 | "The stall’s owner, a gaunt man with milky eyes, hissed something in a language that made her teeth ache." | | 5 | "The creature skidded to a halt at the tunnel’s edge, its form writhing as if caught in an invisible current." |
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| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 2 | | matches | | 0 | "He grabbed, his grip firm" | | 1 | "His voice dropped, urgent" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "Tomás muttered (mutter)" |
| | dialogueSentences | 40 | | tagDensity | 0.05 | | leniency | 0.1 | | rawRatio | 0.5 | | effectiveRatio | 0.05 | |