| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 41 | | tagDensity | 0.293 | | leniency | 0.585 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.59% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1561 | | totalAiIsmAdverbs | 2 | | 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) | |
| 58.36% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1561 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "flicker" | | 1 | "etched" | | 2 | "wavered" | | 3 | "echoed" | | 4 | "flickered" | | 5 | "loomed" | | 6 | "pulse" | | 7 | "pulsed" | | 8 | "dancing" | | 9 | "scanning" | | 10 | "trembled" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "flicker of emotion" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 135 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 135 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "tried to" | | 2 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 168 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 16 | | markdownWords | 18 | | totalWords | 1551 | | ratio | 0.012 | | matches | | 0 | "burned" | | 1 | "unsolved" | | 2 | "Classified: Supernatural Division" | | 3 | "twitched" | | 4 | "placed" | | 5 | "moved" | | 6 | "Moved" | | 7 | "felt" | | 8 | "fuck" | | 9 | "Token." | | 10 | "opened" | | 11 | "key" | | 12 | "service" | | 13 | "screamed" | | 14 | "hell" | | 15 | "burning" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 1305 | | uniqueNames | 13 | | maxNameDensity | 0.92 | | worstName | "Davies" | | maxWindowNameDensity | 2 | | worstWindowName | "Davies" | | discoveredNames | | Detective | 2 | | Harlow | 1 | | Quinn | 1 | | Tube | 1 | | Camden | 1 | | Sergeant | 1 | | Davies | 12 | | Three | 1 | | Veil | 3 | | Compass | 1 | | Supernatural | 1 | | Morris | 1 | | Market | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Camden" | | 3 | "Sergeant" | | 4 | "Davies" | | 5 | "Compass" | | 6 | "Morris" | | 7 | "Market" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 40.11% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 91 | | glossingSentenceCount | 4 | | matches | | 0 | "shadows that seemed to move when she wasn’t looking" | | 1 | "as if reacting to the proximity" | | 2 | "as if urging her on" | | 3 | "looked like preserved eyes in glass vials" |
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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 | 1551 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 168 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 56 | | mean | 27.7 | | std | 19.43 | | cv | 0.701 | | sampleLengths | | 0 | 56 | | 1 | 74 | | 2 | 31 | | 3 | 48 | | 4 | 5 | | 5 | 9 | | 6 | 12 | | 7 | 12 | | 8 | 37 | | 9 | 71 | | 10 | 8 | | 11 | 29 | | 12 | 11 | | 13 | 46 | | 14 | 11 | | 15 | 87 | | 16 | 28 | | 17 | 24 | | 18 | 27 | | 19 | 12 | | 20 | 35 | | 21 | 22 | | 22 | 43 | | 23 | 21 | | 24 | 27 | | 25 | 7 | | 26 | 56 | | 27 | 52 | | 28 | 6 | | 29 | 16 | | 30 | 27 | | 31 | 7 | | 32 | 12 | | 33 | 74 | | 34 | 31 | | 35 | 17 | | 36 | 50 | | 37 | 31 | | 38 | 12 | | 39 | 16 | | 40 | 22 | | 41 | 12 | | 42 | 11 | | 43 | 26 | | 44 | 33 | | 45 | 15 | | 46 | 26 | | 47 | 9 | | 48 | 28 | | 49 | 24 |
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| 89.67% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 135 | | matches | | 0 | "were curled" | | 1 | "was *burned" | | 2 | "been labelled" | | 3 | "were lined" | | 4 | "was replaced" | | 5 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 229 | | matches | | 0 | "wasn’t looking" | | 1 | "was pointing" | | 2 | "was *burning" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 168 | | ratio | 0.054 | | matches | | 0 | "The real anomaly was the symbol carved into his chest—a jagged sigil that made her jaw tighten." | | 1 | "The sigil wasn’t just carved—it was *burned* into the flesh, the edges blackened as if by an intense, localised heat." | | 2 | "The symbols at that scene had been similar—too similar." | | 3 | "The casing bore a patina of verdigris, and the needle didn’t just spin—it *twitched*, as if alive." | | 4 | "Then she saw it—a break in the brickwork, a narrow doorway hidden behind a rotting poster for a long-forgotten play." | | 5 | "A sound echoed from the tunnel—a wet, clicking noise, like bones snapping back into place." | | 6 | "Then the torchlight caught it—a figure, standing just inside the doorway." | | 7 | "And the people—or what passed for people here—watched." | | 8 | "On the table in front of them was another compass—identical to the one she held." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 341 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 10 | | adverbRatio | 0.02932551319648094 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.008797653958944282 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 168 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 168 | | mean | 9.23 | | std | 5.52 | | cv | 0.598 | | sampleLengths | | 0 | 17 | | 1 | 24 | | 2 | 15 | | 3 | 12 | | 4 | 14 | | 5 | 16 | | 6 | 15 | | 7 | 17 | | 8 | 7 | | 9 | 12 | | 10 | 12 | | 11 | 14 | | 12 | 20 | | 13 | 12 | | 14 | 2 | | 15 | 5 | | 16 | 2 | | 17 | 7 | | 18 | 5 | | 19 | 7 | | 20 | 7 | | 21 | 5 | | 22 | 6 | | 23 | 11 | | 24 | 11 | | 25 | 9 | | 26 | 14 | | 27 | 14 | | 28 | 5 | | 29 | 13 | | 30 | 3 | | 31 | 11 | | 32 | 5 | | 33 | 6 | | 34 | 8 | | 35 | 5 | | 36 | 17 | | 37 | 7 | | 38 | 2 | | 39 | 9 | | 40 | 4 | | 41 | 18 | | 42 | 13 | | 43 | 11 | | 44 | 4 | | 45 | 7 | | 46 | 12 | | 47 | 21 | | 48 | 14 | | 49 | 13 |
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| 37.50% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 21 | | diversityRatio | 0.26785714285714285 | | totalSentences | 168 | | uniqueOpeners | 45 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 124 | | matches | | 0 | "Then she saw it—a break" | | 1 | "Instead, she reached into her" | | 2 | "Then the torchlight caught it—a" | | 3 | "Then the world *screamed*." |
| | ratio | 0.032 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 37 | | totalSentences | 124 | | matches | | 0 | "Her sharp brown eyes locked" | | 1 | "His fingers were curled as" | | 2 | "She crouched beside the corpse," | | 3 | "She exhaled through her nose." | | 4 | "She pulled a pair of" | | 5 | "She pried his fingers open." | | 6 | "She’d seen one before, in" | | 7 | "It pointed toward the nearest" | | 8 | "She turned it over" | | 9 | "She ignored the jab." | | 10 | "She stood, her military precision" | | 11 | "She stepped over the body," | | 12 | "She pressed her palm against" | | 13 | "She pulled her hand back" | | 14 | "She held it up" | | 15 | "He knew about Morris." | | 16 | "She didn’t answer." | | 17 | "She stepped forward, the compass" | | 18 | "Her pulse hammered in her" | | 19 | "Its skin was the colour" |
| | ratio | 0.298 | |
| 12.42% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 111 | | totalSentences | 124 | | matches | | 0 | "The bone token burned cold" | | 1 | "The abandoned Tube station beneath" | | 2 | "The flickering fluorescent lights cast" | | 3 | "A uniformed officer nodded as" | | 4 | "Her sharp brown eyes locked" | | 5 | "A man, mid-thirties, dressed in" | | 6 | "His fingers were curled as" | | 7 | "The real anomaly was the" | | 8 | "A voice cut through her" | | 9 | "Detective Sergeant Davies stood near" | | 10 | "She crouched beside the corpse," | | 11 | "The sigil wasn’t just carved—it" | | 12 | "She exhaled through her nose." | | 13 | "A flicker of doubt crossed" | | 14 | "The name tasted bitter" | | 15 | "The case file had been" | | 16 | "The symbols at that scene" | | 17 | "She pulled a pair of" | | 18 | "The victim’s pockets were empty," | | 19 | "She pried his fingers open." |
| | ratio | 0.895 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 124 | | matches | (empty) | | ratio | 0 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 63 | | technicalSentenceCount | 7 | | matches | | 0 | "The abandoned Tube station beneath Camden reeked of damp concrete and something older, something that made the hairs on her arms stand on end." | | 1 | "The flickering fluorescent lights cast long shadows that seemed to move when she wasn’t looking." | | 2 | "His fingers were curled as if he’d tried to claw his way back to life." | | 3 | "Its skin was the colour of old parchment, stretched tight over a frame that didn’t look human." | | 4 | "The tunnel opened into a vast, cavernous space, lit by flickering gas lamps that cast long, dancing shadows." | | 5 | "The hood tilted back slightly, revealing a face that was both young and ancient, its features shifting like a candle flame." | | 6 | "The figure was reaching into their cloak, their fingers emerging with a small, glass vial filled with swirling black liquid." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 3 | | matches | | 0 | "She stepped, her boots clicking against the tile" | | 1 | "She moved, her grip tight on her weapon" | | 2 | "the figure said, their voice a rasp" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 41 | | tagDensity | 0.049 | | leniency | 0.098 | | rawRatio | 0 | | effectiveRatio | 0 | |