| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 1 | | adverbTags | | 0 | "She turned back [back]" |
| | dialogueSentences | 30 | | tagDensity | 0.433 | | leniency | 0.867 | | rawRatio | 0.077 | | effectiveRatio | 0.067 | |
| 79.01% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1191 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slightly" | | 1 | "carefully" | | 2 | "suddenly" | | 3 | "very" |
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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) | |
| 24.43% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1191 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "gloom" | | 1 | "weight" | | 2 | "perfect" | | 3 | "silence" | | 4 | "scanned" | | 5 | "vibrated" | | 6 | "rhythmic" | | 7 | "shattered" | | 8 | "flickered" | | 9 | "echoed" | | 10 | "profound" | | 11 | "chaotic" | | 12 | "lurched" | | 13 | "pulse" |
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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 | 0 | | narrationSentences | 79 | | matches | (empty) | |
| 88.61% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 79 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 95 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1185 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 76.08% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 947 | | uniqueNames | 6 | | maxNameDensity | 1.48 | | worstName | "Harlow" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Davies" | | discoveredNames | | Quinn | 1 | | Davies | 10 | | Harlow | 14 | | Veil | 3 | | Compass | 3 | | Camden | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Davies" | | 2 | "Harlow" | | 3 | "Compass" |
| | places | (empty) | | globalScore | 0.761 | | windowScore | 0.833 | |
| 73.08% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like a diamond-tipped stylus" | | 1 | "as if reading her pulse" |
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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 | 1185 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 95 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 33.86 | | std | 20.42 | | cv | 0.603 | | sampleLengths | | 0 | 52 | | 1 | 9 | | 2 | 34 | | 3 | 41 | | 4 | 21 | | 5 | 67 | | 6 | 6 | | 7 | 21 | | 8 | 41 | | 9 | 21 | | 10 | 53 | | 11 | 16 | | 12 | 80 | | 13 | 31 | | 14 | 42 | | 15 | 33 | | 16 | 55 | | 17 | 7 | | 18 | 43 | | 19 | 28 | | 20 | 19 | | 21 | 22 | | 22 | 37 | | 23 | 31 | | 24 | 17 | | 25 | 31 | | 26 | 51 | | 27 | 16 | | 28 | 10 | | 29 | 6 | | 30 | 66 | | 31 | 45 | | 32 | 1 | | 33 | 72 | | 34 | 60 |
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| 96.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 79 | | matches | | 0 | "been placed" | | 1 | "were charred" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 162 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 1 | | flaggedSentences | 5 | | totalSentences | 95 | | ratio | 0.053 | | matches | | 0 | "A small, ivory token—a carved human knuckle bone—slipped out, clattering onto the concrete floor." | | 1 | "A sound tore through the air—a hollow, metallic screech, like a thousand trains braking against rusted tracks at once." | | 2 | "She could hear them now—a chorus of skittering movements, the sound of long, wet fingers dragging across cold stone." | | 3 | "It didn't strike like a beast; it poured itself into the space between them, a cold, viscous liquid of pure malice." | | 4 | "She turned to run, but the exit sign—the only bridge back to the world she knew—flickered once and vanished." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 962 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 37 | | adverbRatio | 0.038461538461538464 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.014553014553014554 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 95 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 95 | | mean | 12.47 | | std | 6.27 | | cv | 0.503 | | sampleLengths | | 0 | 15 | | 1 | 16 | | 2 | 21 | | 3 | 9 | | 4 | 21 | | 5 | 13 | | 6 | 5 | | 7 | 12 | | 8 | 24 | | 9 | 12 | | 10 | 9 | | 11 | 2 | | 12 | 12 | | 13 | 16 | | 14 | 8 | | 15 | 8 | | 16 | 21 | | 17 | 6 | | 18 | 11 | | 19 | 10 | | 20 | 11 | | 21 | 3 | | 22 | 19 | | 23 | 8 | | 24 | 17 | | 25 | 4 | | 26 | 7 | | 27 | 21 | | 28 | 9 | | 29 | 16 | | 30 | 16 | | 31 | 23 | | 32 | 7 | | 33 | 17 | | 34 | 3 | | 35 | 16 | | 36 | 14 | | 37 | 13 | | 38 | 18 | | 39 | 16 | | 40 | 12 | | 41 | 14 | | 42 | 3 | | 43 | 10 | | 44 | 20 | | 45 | 17 | | 46 | 13 | | 47 | 25 | | 48 | 7 | | 49 | 26 |
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| 45.96% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.35789473684210527 | | totalSentences | 95 | | uniqueOpeners | 34 | |
| 88.89% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 75 | | matches | | 0 | "Suddenly, the silence of the" | | 1 | "Only the rhythmic, metallic ticking" |
| | ratio | 0.027 | |
| 60.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 75 | | matches | | 0 | "He looked pale, even in" | | 1 | "She stepped closer to the" | | 2 | "She adjusted the worn leather" | | 3 | "It stopped three years ago," | | 4 | "She ignored Davies and focused" | | 5 | "he countered, shifting his weight" | | 6 | "she said, her voice dropping" | | 7 | "She scanned the wall behind" | | 8 | "They weren't graffiti." | | 9 | "They were protective sigils, crudely" | | 10 | "His fingertips were charred, the" | | 11 | "He leaned in, the light" | | 12 | "He looked at the mangled" | | 13 | "It hummed, a low frequency" | | 14 | "She turned back to the" | | 15 | "It felt warm, pulsating with" | | 16 | "She could hear them now—a" | | 17 | "She felt a rush of" | | 18 | "It didn't have a face," | | 19 | "It wasn't here to clean" |
| | ratio | 0.4 | |
| 20.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 75 | | matches | | 0 | "The yellow tape cut through" | | 1 | "Harlow Quinn ducked beneath it," | | 2 | "The air here tasted of" | | 3 | "Officer Davies stood near the" | | 4 | "He looked pale, even in" | | 5 | "Harlow didn't acknowledge the greeting." | | 6 | "She stepped closer to the" | | 7 | "A man, middle-aged, slumped against" | | 8 | "Davies offered, his voice slightly" | | 9 | "She adjusted the worn leather" | | 10 | "It stopped three years ago," | | 11 | "She ignored Davies and focused" | | 12 | "he countered, shifting his weight" | | 13 | "Harlow reached into her coat," | | 14 | "The Veil Compass." | | 15 | "The needle spun clockwise, erratic" | | 16 | "The verdigris-stained casing felt freezing" | | 17 | "she said, her voice dropping" | | 18 | "The floor surrounding the body" | | 19 | "A perfect circle of grime," |
| | ratio | 0.88 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 75 | | matches | | 0 | "If he had fallen, there" | | 1 | "If he had been placed," |
| | ratio | 0.027 | |
| 76.41% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 4 | | matches | | 0 | "The air here tasted of wet concrete and ozone, a sharp, copper tang that clutched at the back of her throat." | | 1 | "There were patterns, deep, spiralling indentations that looked less like blunt trauma and more like deliberate, structural manipulation of the skin." | | 2 | "It was glowing a sickly, phosphorescent green, the sigils on its surface shifting and realigning as if reading her pulse." | | 3 | "In its place, the tunnel walls seemed to melt, the concrete giving way to a pulsing, obsidian throat that stretched into the impossible." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 6 | | matches | | 0 | "Davies offered, his voice slightly tight" | | 1 | "Harlow stood, her joints popping in the silence" | | 2 | "Harlow moved, her fingers grazing the edge of the sigil" | | 3 | "She turned back, her face hardening into a mask of military precision" | | 4 | "Davies whispered, his voice failing him" | | 5 | "Harlow ordered, her hand dropping to her holstered sidearm" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 5 | | fancyTags | | 0 | "Davies suggested (suggest)" | | 1 | "Davies laughed (laugh)" | | 2 | "Davies whispered (whisper)" | | 3 | "Harlow ordered (order)" | | 4 | "Harlow shouted (shout)" |
| | dialogueSentences | 30 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.833 | | effectiveRatio | 0.333 | |