| 88.89% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 1 | | adverbTags | | | dialogueSentences | 18 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.167 | | effectiveRatio | 0.111 | |
| 95.87% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1211 | | 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) | |
| 38.07% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1211 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "footsteps" | | 1 | "flickered" | | 2 | "echoed" | | 3 | "flicked" | | 4 | "silk" | | 5 | "pulse" | | 6 | "scanned" | | 7 | "shimmered" | | 8 | "velvet" | | 9 | "trembled" | | 10 | "silence" | | 11 | "pulsed" | | 12 | "rhythmic" |
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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 | 1 | | narrationSentences | 123 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 123 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 135 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 2 | | totalWords | 1191 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 1033 | | uniqueNames | 12 | | maxNameDensity | 0.48 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Herrera" | | discoveredNames | | Quinn | 5 | | Morris | 2 | | Veil | 1 | | Market | 1 | | Saint | 1 | | Christopher | 1 | | Tomás | 1 | | Herrera | 4 | | Internal | 1 | | Affairs | 1 | | Spanish | 1 | | Latin | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Morris" | | 2 | "Saint" | | 3 | "Christopher" | | 4 | "Tomás" | | 5 | "Herrera" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 1 | | matches | | |
| 32.07% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.679 | | wordCount | 1191 | | matches | | 0 | "not from cold, but from the memory of his body bag, the unexplained frost on th" | | 1 | "not the room, but a vast, starless void" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 135 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 66 | | mean | 18.05 | | std | 18.83 | | cv | 1.044 | | sampleLengths | | 0 | 76 | | 1 | 60 | | 2 | 3 | | 3 | 42 | | 4 | 33 | | 5 | 52 | | 6 | 6 | | 7 | 47 | | 8 | 52 | | 9 | 2 | | 10 | 6 | | 11 | 3 | | 12 | 71 | | 13 | 3 | | 14 | 40 | | 15 | 8 | | 16 | 36 | | 17 | 2 | | 18 | 44 | | 19 | 42 | | 20 | 5 | | 21 | 16 | | 22 | 7 | | 23 | 7 | | 24 | 3 | | 25 | 25 | | 26 | 6 | | 27 | 6 | | 28 | 14 | | 29 | 20 | | 30 | 10 | | 31 | 13 | | 32 | 23 | | 33 | 5 | | 34 | 6 | | 35 | 3 | | 36 | 5 | | 37 | 7 | | 38 | 32 | | 39 | 34 | | 40 | 42 | | 41 | 4 | | 42 | 4 | | 43 | 12 | | 44 | 4 | | 45 | 12 | | 46 | 3 | | 47 | 33 | | 48 | 2 | | 49 | 26 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 123 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 191 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 22 | | semicolonCount | 0 | | flaggedSentences | 19 | | totalSentences | 135 | | ratio | 0.141 | | matches | | 0 | "He wasn’t fast, but he was desperate—limping, favoring his left leg, clutching something wrapped in oilskin under his arm." | | 1 | "The way he glanced back—wild-eyed, mouth open—told her he knew what waited behind." | | 2 | "A shadow flickered at the far end—movement in the dark." | | 3 | "The faint smell of mildew, copper, and something else—burnt incense, maybe, or ozone." | | 4 | "Graffiti spiraled along the walls—sigils, warnings in languages she didn’t recognize, one half-erased image of a raven with too many eyes." | | 5 | "Then—a sound." | | 6 | "This was the place Morris had been chasing before they found him—face drained of blood, eyes wide open, not a mark on him." | | 7 | "There—near a stall selling bottled storms, he paused, breath ragged." | | 8 | "A hand brushed her wrist—she spun, torch beam slashing across the face of a child with no pupils." | | 9 | "Before he could pass through, a figure stepped out—tall, olive-skinned, wearing a medic’s coat over a black henley." | | 10 | "The medic—Tomás Herrera—glanced past him." | | 11 | "She studied him—his scar, the way his fingers flexed at his sides, the way his eyes flicked to her wrist, to the watch." | | 12 | "Her hand trembled—not from cold, but from the memory of his body bag, the unexplained frost on the zipper." | | 13 | "The air smelled of wet clay and something sweet—like rotting fruit and iron." | | 14 | "From below, a sound rose—chanting." | | 15 | "Then—a whimper." | | 16 | "At the bottom, a chamber opened—a circular room, walls lined with niches holding skulls, candles burning in pools of red wax." | | 17 | "Above it, suspended in midair, floated a black mirror—cracked, jagged, showing not the room, but a vast, starless void." | | 18 | "Their face was wrong—no features." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1059 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.019830028328611898 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.003777148253068933 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 135 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 135 | | mean | 8.82 | | std | 6.82 | | cv | 0.773 | | sampleLengths | | 0 | 12 | | 1 | 14 | | 2 | 15 | | 3 | 19 | | 4 | 13 | | 5 | 3 | | 6 | 29 | | 7 | 22 | | 8 | 9 | | 9 | 3 | | 10 | 17 | | 11 | 6 | | 12 | 4 | | 13 | 10 | | 14 | 4 | | 15 | 1 | | 16 | 22 | | 17 | 8 | | 18 | 3 | | 19 | 14 | | 20 | 13 | | 21 | 7 | | 22 | 5 | | 23 | 13 | | 24 | 3 | | 25 | 1 | | 26 | 2 | | 27 | 8 | | 28 | 18 | | 29 | 21 | | 30 | 12 | | 31 | 15 | | 32 | 15 | | 33 | 10 | | 34 | 2 | | 35 | 3 | | 36 | 3 | | 37 | 3 | | 38 | 16 | | 39 | 20 | | 40 | 8 | | 41 | 15 | | 42 | 12 | | 43 | 3 | | 44 | 13 | | 45 | 23 | | 46 | 2 | | 47 | 2 | | 48 | 8 | | 49 | 11 |
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| 59.51% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.3925925925925926 | | totalSentences | 135 | | uniqueOpeners | 53 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 103 | | matches | | 0 | "Then he vanished." | | 1 | "Then she stepped forward." | | 2 | "Just muttered, barely audible," | | 3 | "Just smooth skin where eyes," | | 4 | "Then the mirror cracked wider." |
| | ratio | 0.049 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 103 | | matches | | 0 | "He wasn’t fast, but he" | | 1 | "Her worn leather watch dug" | | 2 | "She narrowed her eyes." | | 3 | "She edged forward, hand resting" | | 4 | "She dropped to a crouch," | | 5 | "She took the stairs two" | | 6 | "She followed it." | | 7 | "She froze at the edge" | | 8 | "She scanned the crowd, searching" | | 9 | "He turned, clutching the oilskin" | | 10 | "She wove through the market," | | 11 | "He blocked the man’s path." | | 12 | "Their eyes locked." | | 13 | "She reached the archway just" | | 14 | "She made to follow." | | 15 | "She kept her voice flat." | | 16 | "She studied him—his scar, the" | | 17 | "His expression darkened." | | 18 | "Her breath caught." | | 19 | "He leaned in, voice a" |
| | ratio | 0.272 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 103 | | matches | | 0 | "Rain needled the pavement like" | | 1 | "Harlow Quinn’s boots slapped against" | | 2 | "He wasn’t fast, but he" | | 3 | "The way he glanced back—wild—eyed," | | 4 | "Her worn leather watch dug" | | 5 | "The city groaned around her:" | | 6 | "Quinn skidded to a stop" | | 7 | "Rain sluiced down the brick" | | 8 | "She narrowed her eyes." | | 9 | "A shadow flickered at the" | | 10 | "She edged forward, hand resting" | | 11 | "The cover was half-lifted, one" | | 12 | "She dropped to a crouch," | | 13 | "A short drop into darkness." | | 14 | "The faint smell of mildew," | | 15 | "Footsteps echoed below." | | 16 | "Quinn unclipped her torch and" | | 17 | "The beam cut through the" | | 18 | "Graffiti spiraled along the walls—sigils," | | 19 | "She took the stairs two" |
| | ratio | 0.709 | |
| 97.09% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 103 | | matches | | 0 | "Now she was walking into" | | 1 | "Before he could pass through," |
| | ratio | 0.019 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 2 | | matches | | 0 | "Her worn leather watch dug into her wrist as she vaulted a low barrier, landing with a splash in a puddle that sent filthy water up her trouser leg." | | 1 | "She wove through the market, dodging shoulders, stepping around pools of something that shimmered under the lanterns." |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 1 | | matches | | 0 | "the man said, voice low, accented" |
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| 38.89% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 2 | | fancyTags | | 0 | "The suspect stammered (stammer)" | | 1 | "Just muttered (mutter)" |
| | dialogueSentences | 18 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.333 | | effectiveRatio | 0.222 | |