| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 1 | | adverbTags | | 0 | "Her voice sounded too [too]" |
| | dialogueSentences | 2 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0.5 | | effectiveRatio | 0.5 | |
| 81.27% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 801 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slightly" | | 1 | "sharply" | | 2 | "slowly" |
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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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 801 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "silence" | | 1 | "echo" | | 2 | "loomed" | | 3 | "pulsed" | | 4 | "throb" | | 5 | "warmth" | | 6 | "vibrated" | | 7 | "scanning" | | 8 | "weight" | | 9 | "pulse" | | 10 | "whisper" | | 11 | "searing" | | 12 | "flickered" | | 13 | "pounding" | | 14 | "beacon" | | 15 | "footsteps" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 98 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 98 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 98 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 8 | | markdownWords | 17 | | totalWords | 792 | | ratio | 0.021 | | matches | | 0 | "alive" | | 1 | "Wrong. This is wrong." | | 2 | "wanted" | | 3 | "Move." | | 4 | "Laila." | | 5 | "him." | | 6 | "You were always meant to come back." | | 7 | "hungered." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 8 | | wordCount | 789 | | uniqueNames | 3 | | maxNameDensity | 0.76 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 73.74% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.263 | | wordCount | 792 | | matches | | 0 | "Not the absence of light, but something deeper, something" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 98 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 24 | | std | 20.06 | | cv | 0.836 | | sampleLengths | | 0 | 58 | | 1 | 14 | | 2 | 62 | | 3 | 4 | | 4 | 43 | | 5 | 3 | | 6 | 46 | | 7 | 26 | | 8 | 15 | | 9 | 5 | | 10 | 63 | | 11 | 6 | | 12 | 31 | | 13 | 1 | | 14 | 45 | | 15 | 4 | | 16 | 62 | | 17 | 20 | | 18 | 13 | | 19 | 14 | | 20 | 1 | | 21 | 19 | | 22 | 34 | | 23 | 44 | | 24 | 40 | | 25 | 47 | | 26 | 11 | | 27 | 7 | | 28 | 25 | | 29 | 4 | | 30 | 15 | | 31 | 5 | | 32 | 5 |
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| 94.52% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 98 | | matches | | 0 | "was supposed" | | 1 | "was gone" | | 2 | "were gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 140 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 98 | | ratio | 0.071 | | matches | | 0 | "The silence that followed wasn’t natural—no distant traffic, no rustling leaves, just the hollow echo of her own breath." | | 1 | "She’d seen them before, but never like this—never with the moonlight catching their bark in a way that made them look *alive*." | | 2 | "Instead, the air hummed—a low, resonant note that vibrated in her teeth." | | 3 | "She’d come here for a reason—because the pendant had led her, because the dreams had started again, because something in this place *wanted* her here." | | 4 | "One moment it was there—a gaunt, elongated silhouette with too many joints—and the next, it was gone, leaving only the impression of hollow eyes and a mouth that stretched too wide." | | 5 | "The whispers became a shriek—a sound that wasn’t sound, that vibrated in her bones." | | 6 | "In their place stood a door—tall, arched, made of blackened wood that pulsed with the same crimson light as the pendant." |
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| 92.82% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 798 | | adjectiveStacks | 1 | | stackExamples | | 0 | "over frost-bitten gravel" |
| | adverbCount | 33 | | adverbRatio | 0.041353383458646614 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.006265664160401002 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 98 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 98 | | mean | 8.08 | | std | 6 | | cv | 0.742 | | sampleLengths | | 0 | 12 | | 1 | 19 | | 2 | 12 | | 3 | 15 | | 4 | 9 | | 5 | 5 | | 6 | 14 | | 7 | 22 | | 8 | 14 | | 9 | 4 | | 10 | 3 | | 11 | 5 | | 12 | 1 | | 13 | 3 | | 14 | 10 | | 15 | 5 | | 16 | 12 | | 17 | 12 | | 18 | 2 | | 19 | 2 | | 20 | 3 | | 21 | 2 | | 22 | 24 | | 23 | 8 | | 24 | 2 | | 25 | 2 | | 26 | 2 | | 27 | 6 | | 28 | 14 | | 29 | 2 | | 30 | 2 | | 31 | 8 | | 32 | 8 | | 33 | 7 | | 34 | 2 | | 35 | 3 | | 36 | 11 | | 37 | 7 | | 38 | 25 | | 39 | 20 | | 40 | 6 | | 41 | 3 | | 42 | 2 | | 43 | 15 | | 44 | 3 | | 45 | 8 | | 46 | 1 | | 47 | 5 | | 48 | 16 | | 49 | 13 |
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| 44.56% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.3469387755102041 | | totalSentences | 98 | | uniqueOpeners | 34 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 83 | | matches | | 0 | "Instead, the air hummed—a low," | | 1 | "Just the weight of something" | | 2 | "More like the sound of" | | 3 | "Then she saw it." |
| | ratio | 0.048 | |
| 99.52% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 83 | | matches | | 0 | "She swung a leg over" | | 1 | "She’d seen them before, but" | | 2 | "She didn’t touch it." | | 3 | "She stepped forward, boots sinking" | | 4 | "She exhaled sharply, watching her" | | 5 | "She turned her head slowly," | | 6 | "She reached into her jacket" | | 7 | "Her voice sounded too loud," | | 8 | "Her pulse kicked up, but" | | 9 | "She’d come here for a" | | 10 | "Her skin prickled." | | 11 | "She didn’t question the instinct." | | 12 | "Its shape flickered at the" | | 13 | "She didn’t run." | | 14 | "she said, her voice steady" | | 15 | "Her blood turned to sludge." | | 16 | "She turned and ran, her" | | 17 | "It moved like a shadow" | | 18 | "Her vision swam." | | 19 | "She skidded to a halt" |
| | ratio | 0.301 | |
| 86.51% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 83 | | matches | | 0 | "The bike’s tyres crunched over" | | 1 | "The silence that followed wasn’t" | | 2 | "She swung a leg over" | | 3 | "The air smelled of damp" | | 4 | "Richmond Park at night was" | | 5 | "The standing stones loomed ahead," | | 6 | "She’d seen them before, but" | | 7 | "The pendant around her neck" | | 8 | "She didn’t touch it." | | 9 | "The warmth was answer enough." | | 10 | "This is wrong.*" | | 11 | "She stepped forward, boots sinking" | | 12 | "The grove should’ve been quiet." | | 13 | "She exhaled sharply, watching her" | | 14 | "A twig snapped." | | 15 | "The sound had come from" | | 16 | "She turned her head slowly," | | 17 | "She reached into her jacket" | | 18 | "The grove had never played" | | 19 | "Her voice sounded too loud," |
| | ratio | 0.747 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 83 | | matches | (empty) | | ratio | 0 | |
| 58.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 4 | | matches | | 0 | "The silence that followed wasn’t natural—no distant traffic, no rustling leaves, just the hollow echo of her own breath." | | 1 | "The air smelled of damp earth and something older, something that made her nose wrinkle." | | 2 | "One moment it was there—a gaunt, elongated silhouette with too many joints—and the next, it was gone, leaving only the impression of hollow eyes and a mouth tha…" | | 3 | "The grove twisted around her, paths shifting, trees bending to block her way." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, her voice steady despite the ice in her veins" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 2 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |