| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 6 | | tagDensity | 0.833 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.48% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1174 | | totalAiIsmAdverbs | 2 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 1 |
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| | highlights | | 0 | "slowly" | | 1 | "barely above a whisper" |
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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) | |
| 23.34% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1174 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "gloom" | | 1 | "scanning" | | 2 | "footsteps" | | 3 | "weight" | | 4 | "scanned" | | 5 | "pulse" | | 6 | "flicked" | | 7 | "sturdy" | | 8 | "echoing" | | 9 | "flicker" | | 10 | "wavering" | | 11 | "pulsed" | | 12 | "could feel" | | 13 | "trembled" | | 14 | "whisper" |
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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 | 0 | | narrationSentences | 115 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 115 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 116 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 3 | | totalWords | 1163 | | ratio | 0.003 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 75.83% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 1146 | | uniqueNames | 5 | | maxNameDensity | 1.48 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 17 | | Soho | 1 | | Morris | 2 | | Veil | 1 | | Market | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Morris" | | 2 | "Market" |
| | places | | | globalScore | 0.758 | | windowScore | 1 | |
| 91.18% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 85 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like a crack in the city’s skin" | | 1 | "looked like human teeth" |
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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 | 1163 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 116 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 30.61 | | std | 22.82 | | cv | 0.746 | | sampleLengths | | 0 | 61 | | 1 | 18 | | 2 | 60 | | 3 | 53 | | 4 | 3 | | 5 | 61 | | 6 | 54 | | 7 | 3 | | 8 | 52 | | 9 | 40 | | 10 | 3 | | 11 | 49 | | 12 | 22 | | 13 | 44 | | 14 | 10 | | 15 | 45 | | 16 | 2 | | 17 | 44 | | 18 | 53 | | 19 | 3 | | 20 | 29 | | 21 | 4 | | 22 | 53 | | 23 | 71 | | 24 | 17 | | 25 | 4 | | 26 | 60 | | 27 | 67 | | 28 | 23 | | 29 | 20 | | 30 | 20 | | 31 | 11 | | 32 | 23 | | 33 | 2 | | 34 | 54 | | 35 | 14 | | 36 | 6 | | 37 | 5 |
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| 99.16% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 115 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 183 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 116 | | ratio | 0.06 | | matches | | 0 | "The suspect’s coat—dark wool, torn at the hem—flapped ahead like a wounded crow." | | 1 | "The man glanced back, his face a pale smudge in the gloom, and then he was gone—ducking into the mouth of an alley so narrow it looked like a crack in the city’s skin." | | 2 | "Then—a scuffle of footsteps on metal." | | 3 | "One second he was there, the next—gone." | | 4 | "The shadow shifted, deepening, and then—there." | | 5 | "But the part of her that had spent three years chasing ghosts—the part that still woke up in a cold sweat, hearing Morris’s voice in the dark—knew she couldn’t." | | 6 | "The stalls were a riot of color and movement—jars of glowing liquid, bundles of herbs that pulsed with an eerie light, stacks of yellowed parchment covered in symbols that made her eyes ache." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1157 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.032843560933448576 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.003457216940363008 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 116 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 116 | | mean | 10.03 | | std | 6.41 | | cv | 0.64 | | sampleLengths | | 0 | 20 | | 1 | 13 | | 2 | 15 | | 3 | 13 | | 4 | 14 | | 5 | 2 | | 6 | 2 | | 7 | 14 | | 8 | 12 | | 9 | 34 | | 10 | 3 | | 11 | 14 | | 12 | 18 | | 13 | 4 | | 14 | 8 | | 15 | 6 | | 16 | 3 | | 17 | 12 | | 18 | 13 | | 19 | 11 | | 20 | 11 | | 21 | 14 | | 22 | 17 | | 23 | 9 | | 24 | 10 | | 25 | 7 | | 26 | 11 | | 27 | 3 | | 28 | 7 | | 29 | 13 | | 30 | 10 | | 31 | 6 | | 32 | 16 | | 33 | 12 | | 34 | 19 | | 35 | 3 | | 36 | 6 | | 37 | 3 | | 38 | 15 | | 39 | 11 | | 40 | 6 | | 41 | 2 | | 42 | 15 | | 43 | 6 | | 44 | 2 | | 45 | 5 | | 46 | 9 | | 47 | 2 | | 48 | 10 | | 49 | 29 |
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| 41.38% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.29310344827586204 | | totalSentences | 116 | | uniqueOpeners | 34 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 106 | | matches | | 0 | "Then—a scuffle of footsteps on" | | 1 | "Then he vanished." | | 2 | "Just a low wall at" | | 3 | "Then, a flicker of light." | | 4 | "Then she saw him." |
| | ratio | 0.047 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 106 | | matches | | 0 | "She adjusted her grip on" | | 1 | "she barked, but the static" | | 2 | "She plunged after him, her" | | 3 | "She cursed under her breath," | | 4 | "She looked up." | | 5 | "She hauled herself up, the" | | 6 | "She straightened, her eyes locked" | | 7 | "He was fast, but she" | | 8 | "She closed the distance, her" | | 9 | "She scanned the rooftop, her" | | 10 | "She edged forward, her fingers" | | 11 | "She stepped closer, her boots" | | 12 | "She crouched, peering into the" | | 13 | "It led down into the" | | 14 | "She swung her legs over" | | 15 | "Her boots splashed into shallow" | | 16 | "She turned, her hand brushing" | | 17 | "She inched forward, her breath" | | 18 | "She’d heard whispers of it," | | 19 | "She stepped inside, her boots" |
| | ratio | 0.283 | |
| 63.77% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 84 | | totalSentences | 106 | | matches | | 0 | "The pavement cracked under Quinn’s" | | 1 | "The suspect’s coat—dark wool, torn" | | 2 | "Rain slashed sideways, turning the" | | 3 | "She adjusted her grip on" | | 4 | "she barked, but the static" | | 5 | "The suspect vaulted over a" | | 6 | "Quinn followed, her boots splashing" | | 7 | "The man glanced back, his" | | 8 | "Quinn didn’t hesitate." | | 9 | "She plunged after him, her" | | 10 | "The alley opened into a" | | 11 | "She cursed under her breath," | | 12 | "She looked up." | | 13 | "The suspect was halfway up" | | 14 | "Quinn lunged for the bottom" | | 15 | "She hauled herself up, the" | | 16 | "The rain made the rungs" | | 17 | "The suspect was already dropping" | | 18 | "Quinn followed, landing hard, her" | | 19 | "She straightened, her eyes locked" |
| | ratio | 0.792 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 106 | | matches | (empty) | | ratio | 0 | |
| 77.92% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 5 | | matches | | 0 | "Quinn followed, her boots splashing through puddles that reflected the flickering streetlights." | | 1 | "The ceiling was low, the walls lined with flickering lanterns that cast long, wavering shadows." | | 2 | "The air was thick with the scent of incense and something darker, something that made her skin prickle." | | 3 | "The stalls were a riot of color and movement—jars of glowing liquid, bundles of herbs that pulsed with an eerie light, stacks of yellowed parchment covered in s…" | | 4 | "The man she’d been chasing stood at the edge of the plaza, his coat dripping with rainwater, his face twisted in a snarl." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 3 | | matches | | 0 | "she barked, but the static swallowed her words" | | 1 | "she said, her voice cutting through the hum of the market" | | 2 | "he said, his voice barely above a whisper" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 3 | | fancyTags | | 0 | "she barked (bark)" | | 1 | "she demanded (demand)" | | 2 | "he hissed (hiss)" |
| | dialogueSentences | 6 | | tagDensity | 0.833 | | leniency | 1 | | rawRatio | 0.6 | | effectiveRatio | 0.6 | |