| 46.15% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 2 | | adverbTags | | 0 | "Lucien said softly [softly]" | | 1 | "she lied softly [softly]" |
| | dialogueSentences | 24 | | tagDensity | 0.542 | | leniency | 1 | | rawRatio | 0.154 | | effectiveRatio | 0.154 | |
| 77.56% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1114 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "really" | | 1 | "tightly" | | 2 | "softly" |
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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) | |
| 55.12% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1114 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "weight" | | 1 | "stomach" | | 2 | "charged" | | 3 | "familiar" | | 4 | "traced" | | 5 | "resonance" | | 6 | "facade" | | 7 | "warmth" | | 8 | "chaotic" |
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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 | 45 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 45 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 56 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1110 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 819 | | uniqueNames | 9 | | maxNameDensity | 0.85 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Brick | 1 | | Lane | 1 | | London | 2 | | Avaros | 1 | | Ptolemy | 1 | | Docklands | 1 | | Lucien | 7 | | Soho | 1 | | Rory | 6 |
| | persons | | 0 | "Avaros" | | 1 | "Lucien" | | 2 | "Rory" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "London" | | 3 | "Ptolemy" | | 4 | "Docklands" | | 5 | "Soho" |
| | globalScore | 1 | | windowScore | 1 | |
| 80.56% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 36 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like a dry bone snapping in the cr" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.901 | | wordCount | 1110 | | matches | | 0 | "not humor, but the grim satisfaction of a man stepping onto a battlefield h" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 56 | | matches | (empty) | |
| 87.75% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 23 | | mean | 48.26 | | std | 22.06 | | cv | 0.457 | | sampleLengths | | 0 | 54 | | 1 | 17 | | 2 | 9 | | 3 | 63 | | 4 | 67 | | 5 | 81 | | 6 | 90 | | 7 | 43 | | 8 | 53 | | 9 | 39 | | 10 | 71 | | 11 | 58 | | 12 | 80 | | 13 | 33 | | 14 | 11 | | 15 | 71 | | 16 | 32 | | 17 | 25 | | 18 | 51 | | 19 | 46 | | 20 | 26 | | 21 | 41 | | 22 | 49 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 45 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 132 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 2 | | flaggedSentences | 5 | | totalSentences | 56 | | ratio | 0.089 | | matches | | 0 | "One of his eyes was the clear, warm amber of a late-autumn harvest; the other was a bottomless, light-swallowing black." | | 1 | "The scent of him—rain, expensive cedar, and the sharp, ozone tang that always clung to creatures born too close to the rift of Avaros—wrapped around her." | | 2 | "He stopped just inches away, close enough that she could see the faint silver constellation of a scar along his jawline—a souvenir from a night they had spent bleeding together against a brick wall in Soho." | | 3 | "It was a rare display of restraint, one that cost him; she saw the muscle ticking in his jaw." | | 4 | "A slow, dangerous smile touched the corners of Lucien’s mouth—not humor, but the grim satisfaction of a man stepping onto a battlefield he had chosen." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 834 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 31 | | adverbRatio | 0.03717026378896882 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.013189448441247002 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 56 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 56 | | mean | 19.82 | | std | 10.26 | | cv | 0.517 | | sampleLengths | | 0 | 21 | | 1 | 33 | | 2 | 17 | | 3 | 9 | | 4 | 19 | | 5 | 24 | | 6 | 20 | | 7 | 26 | | 8 | 32 | | 9 | 9 | | 10 | 21 | | 11 | 20 | | 12 | 1 | | 13 | 1 | | 14 | 2 | | 15 | 36 | | 16 | 19 | | 17 | 16 | | 18 | 26 | | 19 | 29 | | 20 | 21 | | 21 | 22 | | 22 | 15 | | 23 | 25 | | 24 | 13 | | 25 | 3 | | 26 | 3 | | 27 | 33 | | 28 | 15 | | 29 | 25 | | 30 | 31 | | 31 | 23 | | 32 | 35 | | 33 | 9 | | 34 | 36 | | 35 | 35 | | 36 | 11 | | 37 | 22 | | 38 | 11 | | 39 | 23 | | 40 | 19 | | 41 | 29 | | 42 | 20 | | 43 | 12 | | 44 | 25 | | 45 | 7 | | 46 | 23 | | 47 | 21 | | 48 | 19 | | 49 | 27 |
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| 62.50% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.42857142857142855 | | totalSentences | 56 | | uniqueOpeners | 24 | |
| 83.33% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 40 | | matches | | 0 | "Instead of a clipboard, her" |
| | ratio | 0.025 | |
| 20.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 40 | | matches | | 0 | "She froze, the air backing" | | 1 | "He moved with that infuriating," | | 2 | "He leaned his weight onto" | | 3 | "She forced her shoulders down," | | 4 | "She recited her internal mantras" | | 5 | "she said, her voice steadier" | | 6 | "She backed up a step," | | 7 | "He closed the door behind" | | 8 | "She turned back to face" | | 9 | "He never flinched." | | 10 | "He simply tracked her movement" | | 11 | "she snapped, the cool facade" | | 12 | "He stopped just inches away," | | 13 | "she whispered, the edge gone" | | 14 | "He reached out, his gloved" | | 15 | "It was a rare display" | | 16 | "He shifted his weight, closing" | | 17 | "She tilted her chin up," | | 18 | "she lied softly, her gaze" | | 19 | "She didn't pull away." |
| | ratio | 0.5 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 37 | | totalSentences | 40 | | matches | | 0 | "The third turn of the" | | 1 | "Rory pulled the door inward," | | 2 | "She froze, the air backing" | | 3 | "Lucien stepped past the threshold" | | 4 | "He moved with that infuriating," | | 5 | "Lucien said, his voice a" | | 6 | "He leaned his weight onto" | | 7 | "Rory let the stack of" | | 8 | "She forced her shoulders down," | | 9 | "She recited her internal mantras" | | 10 | "she said, her voice steadier" | | 11 | "She backed up a step," | | 12 | "The scent of him—rain, expensive" | | 13 | "He closed the door behind" | | 14 | "Ptolemy, the fat tabby cat" | | 15 | "Rory dropped the papers onto" | | 16 | "She turned back to face" | | 17 | "Lucien didn't flinch." | | 18 | "He never flinched." | | 19 | "He simply tracked her movement" |
| | ratio | 0.925 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 40 | | matches | (empty) | | ratio | 0 | |
| 28.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 4 | | matches | | 0 | "She forced her shoulders down, banishing the sudden, traitorous spike of heat that bloomed in the pit of her stomach." | | 1 | "She recited her internal mantras like a shield against the man who had systematically dismantled her equilibrium six months ago and vanished into the fog of the…" | | 2 | "The air between them thinned, charged with the familiar, humming friction that had nearly gotten them both killed in a warehouse in Docklands last winter." | | 3 | "The anger that had sustained her through months of sleepless nights and silent phone lines evaporated, leaving behind a terrifying, hollow ache." |
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| 48.08% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 2 | | matches | | 0 | "she said, her voice steadier than she felt" | | 1 | "she whispered, the edge gone from her voice" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 5 | | fancyTags | | 0 | "she snapped (snap)" | | 1 | "Lucien murmured (murmur)" | | 2 | "she whispered (whisper)" | | 3 | "she lied softly (lie)" | | 4 | "Lucien murmured (murmur)" |
| | dialogueSentences | 24 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0.556 | | effectiveRatio | 0.417 | |