| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 1 | | adverbTags | | 0 | "Quinn ordered sharply [sharply]" |
| | dialogueSentences | 8 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.25 | | effectiveRatio | 0.25 | |
| 69.88% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 996 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "suddenly" | | 1 | "softly" | | 2 | "sharply" | | 3 | "slowly" | | 4 | "quickly" | | 5 | "really" |
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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) | |
| 24.70% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 996 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "calculated" | | 1 | "weight" | | 2 | "echo" | | 3 | "footsteps" | | 4 | "echoed" | | 5 | "pulse" | | 6 | "glinting" | | 7 | "flicked" | | 8 | "solitary" | | 9 | "amidst" | | 10 | "echoing" | | 11 | "crystal" | | 12 | "furrowed" | | 13 | "measured" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 67 | | matches | | 0 | "r in panic" | | 1 | "l with fear" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 67 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 71 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 977 | | ratio | 0 | | matches | (empty) | |
| 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 | 11 | | wordCount | 912 | | uniqueNames | 7 | | maxNameDensity | 0.55 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 5 | | Raven | 1 | | Nest | 1 | | Soho | 1 | | Veil | 1 | | Market | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 62.28% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 2 | | matches | | 0 | "as if sensing he was about to be caught" | | 1 | "as if surrendering but she knew better than to trust that gesture outright" |
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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 | 977 | | matches | (empty) | |
| 72.77% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 71 | | matches | | 0 | "screamed that she" | | 1 | "trust that gesture" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 24 | | mean | 40.71 | | std | 23.93 | | cv | 0.588 | | sampleLengths | | 0 | 72 | | 1 | 96 | | 2 | 68 | | 3 | 5 | | 4 | 78 | | 5 | 57 | | 6 | 52 | | 7 | 59 | | 8 | 54 | | 9 | 16 | | 10 | 61 | | 11 | 38 | | 12 | 21 | | 13 | 20 | | 14 | 39 | | 15 | 13 | | 16 | 19 | | 17 | 16 | | 18 | 44 | | 19 | 49 | | 20 | 40 | | 21 | 9 | | 22 | 17 | | 23 | 34 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 67 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 167 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 18 | | semicolonCount | 1 | | flaggedSentences | 16 | | totalSentences | 71 | | ratio | 0.225 | | matches | | 0 | "Her aim was clear—she’d been trailing the figure, indistinct but hurried, through the winding alleyways and neon-bathed streets of Soho for blocks." | | 1 | "Her military precision served her well here; she knew how to track, to anticipate, to close in." | | 2 | "But what she didn’t know was what waited at the end of this chase—what darkness she might stumble into if she made the wrong choice." | | 3 | "Quinn slowed just enough to read his trembling shoulders—plateful with fear, or maybe something darker." | | 4 | "Suddenly, the suspect froze, glancing behind him again—this time with more desperation—as if sensing he was about to be caught." | | 5 | "But the other part—her gut, seasoned by eighteen years in this job—warned her of the unknown lurking under the city." | | 6 | "The underworld opened beneath the streets—a hollow cavern of abandoned tunnels and underground pathways, lit only by sporadic flickers of fluorescent bulbs." | | 7 | "A faint trace of herbal scent—strange, faintly medicinal—mingled with must and rot." | | 8 | "Then she saw him—slipping into a doorway, his hand hesitating above a panel of faded symbols." | | 9 | "She had no backup down here—no radio contact, no officers." | | 10 | "The door swung open silently on well-oiled hinges, revealing a dimly lit room cluttered with strange artifacts—glinting amulets, jars filled with dark liquids, and old tomes stacked precariously on shelves." | | 11 | "Her eyes darted around, registering the oddity—no faces, no immediate threats." | | 12 | "Sweat beaded on his brow, but there was a desperation there—something she’d seen too often in the faces of the lawless, the hunted." | | 13 | "The underground market was a nexus for things that defied her understanding—places where souls and secrets would vanish if she wasn’t careful." | | 14 | "She wasn’t naïve about the city and its secrets, but this felt off—more than just a suspect on the run." | | 15 | "Her eyes went to the hidden door behind him—the narrow slit of a passage just beyond the table, barely visible but clearly a conduit deeper into the underground labyrinth." |
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| 95.78% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 937 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 42 | | adverbRatio | 0.044823906083244394 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.014941302027748132 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 71 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 71 | | mean | 13.76 | | std | 6.88 | | cv | 0.5 | | sampleLengths | | 0 | 26 | | 1 | 24 | | 2 | 22 | | 3 | 17 | | 4 | 13 | | 5 | 24 | | 6 | 17 | | 7 | 25 | | 8 | 13 | | 9 | 15 | | 10 | 20 | | 11 | 18 | | 12 | 2 | | 13 | 1 | | 14 | 4 | | 15 | 20 | | 16 | 14 | | 17 | 6 | | 18 | 18 | | 19 | 20 | | 20 | 13 | | 21 | 20 | | 22 | 24 | | 23 | 22 | | 24 | 12 | | 25 | 12 | | 26 | 6 | | 27 | 16 | | 28 | 13 | | 29 | 5 | | 30 | 3 | | 31 | 9 | | 32 | 13 | | 33 | 13 | | 34 | 11 | | 35 | 10 | | 36 | 20 | | 37 | 6 | | 38 | 10 | | 39 | 30 | | 40 | 13 | | 41 | 18 | | 42 | 10 | | 43 | 11 | | 44 | 11 | | 45 | 6 | | 46 | 21 | | 47 | 20 | | 48 | 16 | | 49 | 23 |
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| 67.61% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4647887323943662 | | totalSentences | 71 | | uniqueOpeners | 33 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 65 | | matches | | 0 | "Suddenly, the suspect froze, glancing" | | 1 | "Then she saw him—slipping into" | | 2 | "Just him, solitary amidst the" |
| | ratio | 0.046 | |
| 60.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 65 | | matches | | 0 | "Her aim was clear—she’d been" | | 1 | "She clenched her jaw beneath" | | 2 | "Her military precision served her" | | 3 | "She drew in a steadying" | | 4 | "Her hand hovered near her" | | 5 | "She hesitated, collecting her breath," | | 6 | "She moved, instinct guiding her" | | 7 | "Her fingers twitched near her" | | 8 | "She edged closer, eyes darting," | | 9 | "She had no backup down" | | 10 | "She took a breath, quickening" | | 11 | "His eyes, wide and frantic," | | 12 | "Her hand rested near her" | | 13 | "Her eyes darted around, registering" | | 14 | "she demanded, voice echoing in" | | 15 | "He gulped, eyes darting to" | | 16 | "he started, voice trembling" | | 17 | "Her brow furrowed." | | 18 | "He nodded quickly." | | 19 | "She studied him, suspicion gnawing" |
| | ratio | 0.4 | |
| 83.08% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 49 | | totalSentences | 65 | | matches | | 0 | "The rain hit the city" | | 1 | "Detective Harlow Quinn moved with" | | 2 | "Her aim was clear—she’d been" | | 3 | "The suspect’s silhouette darted past" | | 4 | "Quinn’s breath was steady, her" | | 5 | "She clenched her jaw beneath" | | 6 | "Her military precision served her" | | 7 | "The suspect veered into a" | | 8 | "Quinn slowed just enough to" | | 9 | "She drew in a steadying" | | 10 | "Her hand hovered near her" | | 11 | "Quinn tensed, debating whether to" | | 12 | "The raw, instinctual part of" | | 13 | "She hesitated, collecting her breath," | | 14 | "The staircase was steep, uneven," | | 15 | "The muffled hum of the" | | 16 | "The underworld opened beneath the" | | 17 | "A faint trace of herbal" | | 18 | "She moved, instinct guiding her" | | 19 | "Shadows danced as her footsteps" |
| | ratio | 0.754 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 65 | | matches | | 0 | "If she pushed in and" | | 1 | "To run the risk of" |
| | ratio | 0.031 | |
| 49.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 6 | | matches | | 0 | "Detective Harlow Quinn moved with calculated purpose, her boots skimming over puddles that reflected the lager-green glow of the sign above The Raven’s Nest." | | 1 | "Suddenly, the suspect froze, glancing behind him again—this time with more desperation—as if sensing he was about to be caught." | | 2 | "The staircase was steep, uneven, made of old metal that groaned softly under her weight as she began her descent." | | 3 | "Then she saw him—slipping into a doorway, his hand hesitating above a panel of faded symbols." | | 4 | "If she pushed in and found herself surrounded, she’d be operating alone in a place that could swallow her whole." | | 5 | "The underground market was a nexus for things that defied her understanding—places where souls and secrets would vanish if she wasn’t careful." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 4 | | matches | | 0 | "Quinn ordered sharply, voice calm but firm" | | 1 | "she demanded, voice echoing in the close, cluttered space" | | 2 | "he started, voice trembling" | | 3 | "she said, voice ice-cold" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "Quinn ordered sharply (order)" | | 1 | "she demanded (demand)" |
| | dialogueSentences | 8 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0.667 | | effectiveRatio | 0.5 | |