| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 15 | | tagDensity | 0.267 | | leniency | 0.533 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1247 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 47.87% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1247 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "pulse" | | 1 | "pulsed" | | 2 | "weight" | | 3 | "familiar" | | 4 | "flicker" | | 5 | "cacophony" | | 6 | "shimmered" | | 7 | "flickered" | | 8 | "silence" | | 9 | "pounding" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 127 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 127 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 138 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1230 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 93.28% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 1146 | | uniqueNames | 9 | | maxNameDensity | 1.13 | | worstName | "Harlow" | | maxWindowNameDensity | 2 | | worstWindowName | "Harlow" | | discoveredNames | | Soho | 1 | | Harlow | 13 | | Quinn | 1 | | Morris | 4 | | Veil | 2 | | Market | 2 | | Saint | 1 | | Christopher | 1 | | Herrera | 4 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Saint" | | 4 | "Christopher" | | 5 | "Herrera" |
| | places | | | globalScore | 0.933 | | windowScore | 1 | |
| 53.85% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 78 | | glossingSentenceCount | 3 | | matches | | 0 | "objects that seemed to shift when she blinked" | | 1 | "liquid that seemed to absorb the light" | | 2 | "as if sensing her intrusion" |
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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 | 1230 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 138 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 58 | | mean | 21.21 | | std | 16.97 | | cv | 0.8 | | sampleLengths | | 0 | 59 | | 1 | 2 | | 2 | 7 | | 3 | 51 | | 4 | 66 | | 5 | 1 | | 6 | 4 | | 7 | 44 | | 8 | 28 | | 9 | 5 | | 10 | 30 | | 11 | 28 | | 12 | 10 | | 13 | 2 | | 14 | 56 | | 15 | 39 | | 16 | 4 | | 17 | 45 | | 18 | 5 | | 19 | 64 | | 20 | 3 | | 21 | 34 | | 22 | 5 | | 23 | 51 | | 24 | 11 | | 25 | 30 | | 26 | 29 | | 27 | 5 | | 28 | 4 | | 29 | 10 | | 30 | 4 | | 31 | 33 | | 32 | 13 | | 33 | 10 | | 34 | 41 | | 35 | 14 | | 36 | 30 | | 37 | 13 | | 38 | 22 | | 39 | 8 | | 40 | 7 | | 41 | 26 | | 42 | 25 | | 43 | 10 | | 44 | 19 | | 45 | 21 | | 46 | 17 | | 47 | 28 | | 48 | 16 | | 49 | 20 |
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| 94.21% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 127 | | matches | | 0 | "been buried" | | 1 | "been forgotten" | | 2 | "was bought" | | 3 | "was outnumbered" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 205 | | matches | | 0 | "was, doing" | | 1 | "was handing" | | 2 | "was emptying" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 17 | | semicolonCount | 0 | | flaggedSentences | 12 | | totalSentences | 138 | | ratio | 0.087 | | matches | | 0 | "The suspect—a lanky figure in a dark hoodie—darted between the shadows, his movements too quick, too deliberate." | | 1 | "Then—gone." | | 2 | "But there—faint scuff marks on the wet pavement, leading to a rusted service hatch set into the ground." | | 3 | "A faint green glow pulsed in the distance—neon, but not from any sign she recognized." | | 4 | "The green light grew brighter, and with it, the murmur of voices—low, hushed, speaking in languages she didn’t recognize." | | 5 | "The scent of incense and something acrid—burnt herbs, maybe—filled her nose." | | 6 | "She’d heard the rumors—whispers of an underground black market that moved with the full moon, a place where the impossible was bought and sold." | | 7 | "The suspect—her suspect—stood at a stall, his hood now thrown back to reveal a face she didn’t recognize." | | 8 | "The vendor’s eyes—too many, too dark—flickered toward the door." | | 9 | "Then—chaos." | | 10 | "A man—tall, broad-shouldered, with olive skin and warm brown eyes—blocked her way." | | 11 | "Beyond it, a tunnel—another exit." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1167 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, bone-white token" |
| | adverbCount | 33 | | adverbRatio | 0.028277634961439587 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.003427592116538132 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 138 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 138 | | mean | 8.91 | | std | 5.65 | | cv | 0.634 | | sampleLengths | | 0 | 17 | | 1 | 21 | | 2 | 17 | | 3 | 4 | | 4 | 2 | | 5 | 7 | | 6 | 21 | | 7 | 2 | | 8 | 18 | | 9 | 10 | | 10 | 17 | | 11 | 3 | | 12 | 12 | | 13 | 21 | | 14 | 13 | | 15 | 1 | | 16 | 4 | | 17 | 8 | | 18 | 8 | | 19 | 18 | | 20 | 10 | | 21 | 6 | | 22 | 15 | | 23 | 7 | | 24 | 2 | | 25 | 3 | | 26 | 5 | | 27 | 3 | | 28 | 22 | | 29 | 5 | | 30 | 10 | | 31 | 13 | | 32 | 6 | | 33 | 4 | | 34 | 2 | | 35 | 13 | | 36 | 14 | | 37 | 15 | | 38 | 14 | | 39 | 10 | | 40 | 10 | | 41 | 19 | | 42 | 4 | | 43 | 13 | | 44 | 9 | | 45 | 12 | | 46 | 11 | | 47 | 5 | | 48 | 20 | | 49 | 26 |
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| 37.68% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.2536231884057971 | | totalSentences | 138 | | uniqueOpeners | 35 | |
| 57.97% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 115 | | matches | | 0 | "Then she saw it." | | 1 | "Somewhere below, the Veil Market" |
| | ratio | 0.017 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 115 | | matches | | 0 | "He knew these streets." | | 1 | "Her leather watch, worn smooth" | | 2 | "She followed, her military precision" | | 3 | "She crouched, brushing aside the" | | 4 | "She pried the hatch open." | | 5 | "It seeped through the cracks" | | 6 | "She pressed her back against" | | 7 | "She peeked through the gap." | | 8 | "She’d heard the rumors—whispers of" | | 9 | "He was handing over a" | | 10 | "She had to move." | | 11 | "She ducked back, pressing herself" | | 12 | "Her heart pounded, but her" | | 13 | "She could call for backup." | | 14 | "She could wait." | | 15 | "She could walk away." | | 16 | "She didn’t see the figure" | | 17 | "he said, his voice calm" | | 18 | "she snapped, sidestepping him" | | 19 | "She yanked free." |
| | ratio | 0.27 | |
| 68.70% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 90 | | totalSentences | 115 | | matches | | 0 | "The rain fell in sheets," | | 1 | "Detective Harlow Quinn’s boots splashed" | | 2 | "The suspect—a lanky figure in" | | 3 | "He knew these streets." | | 4 | "Her leather watch, worn smooth" | | 5 | "The suspect glanced back, his" | | 6 | "Harlow didn’t hesitate." | | 7 | "She followed, her military precision" | | 8 | "The alley was a tight" | | 9 | "A fire escape groaned overhead," | | 10 | "The suspect had vanished." | | 11 | "Harlow skidded to a halt," | | 12 | "A manhole cover, half-hidden beneath" | | 13 | "She crouched, brushing aside the" | | 14 | "The hatch was old, its" | | 15 | "Harlow didn’t believe in coincidences." | | 16 | "She pried the hatch open." | | 17 | "A ladder descended into darkness," | | 18 | "The scent of damp earth" | | 19 | "The ladder ended in a" |
| | ratio | 0.783 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 115 | | matches | (empty) | | ratio | 0 | |
| 92.73% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 57 | | technicalSentenceCount | 4 | | matches | | 0 | "The space beyond was vast, a cavernous chamber lit by the eerie glow of lanterns that floated without visible support." | | 1 | "Stalls lined the edges, their wares displayed on rickety tables: vials of swirling liquid, bundles of dried plants, objects that seemed to shift when she blinke…" | | 2 | "She’d heard the rumors—whispers of an underground black market that moved with the full moon, a place where the impossible was bought and sold." | | 3 | "The suspect bolted, weaving through the fleeing figures, and Harlow gave chase, her boots pounding against the uneven stone." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 2 | | matches | | 0 | "he said, his voice calm but urgent" | | 1 | "he said, his voice dropping" |
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| 83.33% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 15 | | tagDensity | 0.267 | | leniency | 0.533 | | rawRatio | 0.25 | | effectiveRatio | 0.133 | |