| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 21 | | tagDensity | 0.238 | | leniency | 0.476 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.15% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1266 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slowly" | | 1 | "sharply" | | 2 | "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) | |
| 40.76% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1266 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "wavering" | | 1 | "pulse" | | 2 | "rhythmic" | | 3 | "flicker" | | 4 | "whisper" | | 5 | "flickered" | | 6 | "gloom" | | 7 | "scanning" | | 8 | "glinting" | | 9 | "jaw clenched" | | 10 | "stomach" | | 11 | "shimmered" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 134 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 134 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 150 | | 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 | 27 | | markdownWords | 32 | | totalWords | 1255 | | ratio | 0.025 | | matches | | 0 | "No time." | | 1 | "wrong" | | 2 | "other" | | 3 | "Focus." | | 4 | "pop" | | 5 | "click" | | 6 | "He’s still here." | | 7 | "changed" | | 8 | "there" | | 9 | "feel" | | 10 | "listen to me" | | 11 | "pulse" | | 12 | "my" | | 13 | "ripped" | | 14 | "skin" | | 15 | "was" | | 16 | "felt" | | 17 | "Hungry." | | 18 | "so" | | 19 | "screeched" | | 20 | "pointed" | | 21 | "shimmered" | | 22 | "hell" | | 23 | "hound" | | 24 | "him" | | 25 | "thing" | | 26 | "him" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 1140 | | uniqueNames | 15 | | maxNameDensity | 1.49 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 17 | | Camden | 1 | | Lock | 1 | | Tube | 1 | | Morris | 2 | | London | 1 | | Veil | 1 | | Market | 1 | | African | 1 | | Middle | 1 | | Eastern | 1 | | Saint | 1 | | Christopher | 1 | | Tomás | 9 | | Herrera | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Morris" | | 2 | "Market" | | 3 | "Saint" | | 4 | "Christopher" | | 5 | "Tomás" | | 6 | "Herrera" |
| | places | | | globalScore | 0.754 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.797 | | wordCount | 1255 | | matches | | 0 | "not solid, but *there*" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 150 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 62 | | mean | 20.24 | | std | 19.41 | | cv | 0.959 | | sampleLengths | | 0 | 1 | | 1 | 67 | | 2 | 2 | | 3 | 20 | | 4 | 80 | | 5 | 49 | | 6 | 1 | | 7 | 40 | | 8 | 54 | | 9 | 5 | | 10 | 43 | | 11 | 1 | | 12 | 63 | | 13 | 7 | | 14 | 19 | | 15 | 3 | | 16 | 28 | | 17 | 3 | | 18 | 60 | | 19 | 3 | | 20 | 47 | | 21 | 47 | | 22 | 60 | | 23 | 22 | | 24 | 6 | | 25 | 9 | | 26 | 7 | | 27 | 41 | | 28 | 15 | | 29 | 13 | | 30 | 4 | | 31 | 22 | | 32 | 14 | | 33 | 16 | | 34 | 6 | | 35 | 12 | | 36 | 26 | | 37 | 17 | | 38 | 7 | | 39 | 22 | | 40 | 8 | | 41 | 20 | | 42 | 5 | | 43 | 9 | | 44 | 8 | | 45 | 3 | | 46 | 34 | | 47 | 3 | | 48 | 29 | | 49 | 9 |
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| 92.17% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 134 | | matches | | 0 | "was gone" | | 1 | "being flipped" | | 2 | "been torn" | | 3 | "was covered" | | 4 | "was—lifted" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 194 | | matches | | 0 | "was stepping" | | 1 | "was drinking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 150 | | ratio | 0.06 | | matches | | 0 | "The suspect—tall, lean, moving like a man who knew the city’s veins better than its arteries—had vanished into the mouth of the abandoned Tube station." | | 1 | "Graffiti covered the surfaces—some fresh, some so old the paint had cracked and flaked away, revealing layers of history beneath." | | 2 | "She’d seen enough in her eighteen years on the force to know when she was stepping into something that wasn’t just *wrong*—it was *other*." | | 3 | "A flicker of movement caught her eye—a shadow detaching itself from the darkness near the old ticket booth." | | 4 | "The darkness didn’t lift, but it *changed*—no longer absolute, but layered, textured." | | 5 | "The table was covered in jars of swirling liquids—some clear, some thick and viscous, others glowing faintly with an inner light." | | 6 | "Its skin—if it *was* skin—was the color of old bruises, mottled and slick." | | 7 | "And its face—" | | 8 | "Quinn’s ears rang, her vision swimming as the thing—whatever it was—lifted one too-long arm and *pointed* at her." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1152 | | adjectiveStacks | 1 | | stackExamples | | 0 | "suspect—tall, lean, moving like" |
| | adverbCount | 35 | | adverbRatio | 0.030381944444444444 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.006944444444444444 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 150 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 150 | | mean | 8.36 | | std | 7.05 | | cv | 0.843 | | sampleLengths | | 0 | 31 | | 1 | 25 | | 2 | 11 | | 3 | 2 | | 4 | 3 | | 5 | 16 | | 6 | 1 | | 7 | 28 | | 8 | 16 | | 9 | 20 | | 10 | 6 | | 11 | 3 | | 12 | 1 | | 13 | 6 | | 14 | 6 | | 15 | 24 | | 16 | 12 | | 17 | 7 | | 18 | 1 | | 19 | 13 | | 20 | 20 | | 21 | 3 | | 22 | 4 | | 23 | 18 | | 24 | 21 | | 25 | 5 | | 26 | 10 | | 27 | 5 | | 28 | 4 | | 29 | 6 | | 30 | 13 | | 31 | 20 | | 32 | 1 | | 33 | 29 | | 34 | 21 | | 35 | 13 | | 36 | 3 | | 37 | 2 | | 38 | 2 | | 39 | 6 | | 40 | 4 | | 41 | 9 | | 42 | 3 | | 43 | 11 | | 44 | 15 | | 45 | 2 | | 46 | 3 | | 47 | 13 | | 48 | 10 | | 49 | 12 |
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| 48.22% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.35333333333333333 | | totalSentences | 150 | | uniqueOpeners | 53 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 110 | | matches | | 0 | "Just a whisper of fabric." | | 1 | "Then the lights went out." | | 2 | "Then, as one, they scattered," | | 3 | "Just a smooth, featureless expanse" |
| | ratio | 0.036 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 110 | | matches | | 0 | "She didn’t hesitate." | | 1 | "She’d seen enough in her" | | 2 | "She moved forward, her breath" | | 3 | "She turned, her hand already" | | 4 | "They dimmed, one by one," | | 5 | "She didn’t move." | | 6 | "*He’s still here.*" | | 7 | "She had two choices: turn" | | 8 | "She stepped forward." | | 9 | "She’d heard the rumors, of" | | 10 | "She could *feel* it." | | 11 | "She spun, baton already raised," | | 12 | "He was shorter, stockier, with" | | 13 | "His warm brown eyes were" | | 14 | "His grip tightened, his voice" | | 15 | "She jerked free." | | 16 | "Its limbs were too long," | | 17 | "Its skin—if it *was* skin—was" | | 18 | "It didn’t have a face." | | 19 | "He didn’t have to." |
| | ratio | 0.2 | |
| 64.55% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 87 | | totalSentences | 110 | | matches | | 0 | "The bone token burned cold" | | 1 | "The suspect—tall, lean, moving like" | | 2 | "The iron gates hung ajar," | | 3 | "She didn’t hesitate." | | 4 | "The token was her only" | | 5 | "The air inside the station" | | 6 | "The flickering emergency lights cast" | | 7 | "Graffiti covered the surfaces—some fresh," | | 8 | "These were symbols." | | 9 | "Things that made her skin" | | 10 | "Quinn’s fingers tightened around the" | | 11 | "She’d seen enough in her" | | 12 | "The kind of wrong that" | | 13 | "The kind that had cost" | | 14 | "She moved forward, her breath" | | 15 | "The platform was empty, but" | | 16 | "A flicker of movement caught" | | 17 | "She turned, her hand already" | | 18 | "A scent of something herbal" | | 19 | "They dimmed, one by one," |
| | ratio | 0.791 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 110 | | matches | (empty) | | ratio | 0 | |
| 12.99% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 8 | | matches | | 0 | "The bone token burned cold against Quinn’s palm as she skidded around the corner of Camden Lock, her boots splashing through puddles that reflected the sickly g…" | | 1 | "The suspect—tall, lean, moving like a man who knew the city’s veins better than its arteries—had vanished into the mouth of the abandoned Tube station." | | 2 | "The air inside the station was thick with the scent of damp concrete and something older, something that clung to the back of her throat like copper pennies." | | 3 | "The flickering emergency lights cast long, wavering shadows that stretched and twisted along the tiled walls." | | 4 | "She’d seen enough in her eighteen years on the force to know when she was stepping into something that wasn’t just *wrong*—it was *other*." | | 5 | "The vendor, a woman with skin like polished mahogany and eyes that reflected the dim light like a cat’s, watched Quinn with an expression that was equal parts a…" | | 6 | "Its limbs were too long, its joints bending in ways that made Quinn’s stomach clench." | | 7 | "A jar from the alchemy stall exploded against the wall where she’d been standing, its contents hissing like acid as they ate through the tile." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 2 | | matches | | 0 | "His grip tightened, his voice dropping to a hiss" | | 1 | "Tomás said, his voice tight" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 21 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 0.333 | | effectiveRatio | 0.095 | |