| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 2 | | adverbTags | | 0 | "he observed quietly [quietly]" | | 1 | "His voice softened just [just]" |
| | dialogueSentences | 42 | | tagDensity | 0.405 | | leniency | 0.81 | | rawRatio | 0.118 | | effectiveRatio | 0.095 | |
| 85.93% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1066 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slightly" | | 1 | "really" | | 2 | "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) | |
| 57.79% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1066 | | totalAiIsms | 9 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | word | "sent shivers down" | | count | 1 |
| | 6 | | | 7 | |
| | highlights | | 0 | "eyebrow" | | 1 | "pulse" | | 2 | "stomach" | | 3 | "etched" | | 4 | "silence" | | 5 | "sent shivers down" | | 6 | "whisper" | | 7 | "glint" |
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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 | 60 | | matches | (empty) | |
| 95.24% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 60 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 84 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1055 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 772 | | uniqueNames | 5 | | maxNameDensity | 1.04 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 8 | | Lucien | 3 | | Moreau | 1 | | Ptolemy | 2 | | Eva | 1 |
| | persons | | 0 | "Rory" | | 1 | "Lucien" | | 2 | "Moreau" | | 3 | "Ptolemy" | | 4 | "Eva" |
| | places | (empty) | | globalScore | 0.982 | | windowScore | 0.833 | |
| 30.95% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 42 | | glossingSentenceCount | 2 | | matches | | 0 | "smelled like rain" | | 1 | "felt like salvation" |
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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 | 1055 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 84 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 25.12 | | std | 18.97 | | cv | 0.755 | | sampleLengths | | 0 | 27 | | 1 | 44 | | 2 | 24 | | 3 | 52 | | 4 | 16 | | 5 | 41 | | 6 | 52 | | 7 | 6 | | 8 | 26 | | 9 | 11 | | 10 | 50 | | 11 | 21 | | 12 | 41 | | 13 | 61 | | 14 | 8 | | 15 | 40 | | 16 | 19 | | 17 | 17 | | 18 | 85 | | 19 | 23 | | 20 | 8 | | 21 | 49 | | 22 | 13 | | 23 | 29 | | 24 | 11 | | 25 | 37 | | 26 | 7 | | 27 | 19 | | 28 | 2 | | 29 | 2 | | 30 | 23 | | 31 | 19 | | 32 | 48 | | 33 | 4 | | 34 | 7 | | 35 | 1 | | 36 | 27 | | 37 | 29 | | 38 | 4 | | 39 | 4 | | 40 | 38 | | 41 | 10 |
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| 93.57% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 60 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 143 | | matches | | 0 | "was using" | | 1 | "was coming" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 84 | | ratio | 0.107 | | matches | | 0 | "His heterochromatic eyes—one amber, one black—took in the cluttered hallway of her flat with the practiced assessment of someone who'd spent decades reading people and places." | | 1 | "The tabby cat—Ptolemy—materialised from behind a stack of books and immediately began assessing the intruder with wide, unimpressed eyes." | | 2 | "But she'd never expected to be the one sitting across from a man who could probably buy her flat—and her—in a single transaction." | | 3 | "She'd always suspected there was something odd about some of the orders—the way the packages felt heavier than they should, the strange symbols etched into the packaging, the way some customers seemed to vanish into shadows before she could make eye contact." | | 4 | "Up close, she could smell the sandalwood and something darker underneath—like ozone after lightning." | | 5 | "Three years ago, they'd parted on terms that had left scars deeper than any demon's claw—scars that still ached when the moon was right and the city smelled like rain." | | 6 | "The silver band she'd worn every day since their last conversation had vanished weeks ago—lost during a particularly brutal shift at the restaurant, or maybe thrown away during one of her more desperate attempts to forget him." | | 7 | "She remembered the last time he'd touched her like this—gentle, reverent, as if she were something precious and fragile." | | 8 | "And beneath it, she could hear it—the low, guttural sound of something ancient and hungry stirring from its rest." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 786 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 29 | | adverbRatio | 0.03689567430025445 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.015267175572519083 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 84 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 84 | | mean | 12.56 | | std | 9.37 | | cv | 0.746 | | sampleLengths | | 0 | 27 | | 1 | 8 | | 2 | 26 | | 3 | 10 | | 4 | 21 | | 5 | 3 | | 6 | 23 | | 7 | 19 | | 8 | 10 | | 9 | 11 | | 10 | 5 | | 11 | 28 | | 12 | 13 | | 13 | 5 | | 14 | 24 | | 15 | 23 | | 16 | 6 | | 17 | 20 | | 18 | 6 | | 19 | 6 | | 20 | 5 | | 21 | 15 | | 22 | 35 | | 23 | 12 | | 24 | 9 | | 25 | 12 | | 26 | 29 | | 27 | 3 | | 28 | 42 | | 29 | 16 | | 30 | 8 | | 31 | 17 | | 32 | 14 | | 33 | 9 | | 34 | 11 | | 35 | 8 | | 36 | 10 | | 37 | 7 | | 38 | 11 | | 39 | 30 | | 40 | 27 | | 41 | 17 | | 42 | 23 | | 43 | 8 | | 44 | 6 | | 45 | 37 | | 46 | 6 | | 47 | 7 | | 48 | 6 | | 49 | 20 |
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| 80.16% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.4880952380952381 | | totalSentences | 84 | | uniqueOpeners | 41 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 55 | | matches | (empty) | | ratio | 0 | |
| 60.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 55 | | matches | | 0 | "he said, one eyebrow arched" | | 1 | "His heterochromatic eyes—one amber, one" | | 2 | "He stepped inside, the door" | | 3 | "He removed his coat with" | | 4 | "She'd heard whispers about the" | | 5 | "His smile was all teeth" | | 6 | "He moved deeper into the" | | 7 | "She stepped back, her heel" | | 8 | "He leaned against the wall," | | 9 | "She'd always suspected there was" | | 10 | "He pushed off the wall" | | 11 | "He repeated the word like" | | 12 | "She'd walked away from him" | | 13 | "he observed quietly" | | 14 | "His voice softened, just slightly" | | 15 | "she said, but even as" | | 16 | "She'd never been done with" | | 17 | "He stepped closer, until his" | | 18 | "She remembered the last time" | | 19 | "He cupped her jaw, his" |
| | ratio | 0.4 | |
| 87.27% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 41 | | totalSentences | 55 | | matches | | 0 | "The door swung open before" | | 1 | "he said, one eyebrow arched" | | 2 | "His heterochromatic eyes—one amber, one" | | 3 | "Rory crossed her arms, the" | | 4 | "He stepped inside, the door" | | 5 | "The tabby cat—Ptolemy—materialised from behind" | | 6 | "Rory's voice came out sharper" | | 7 | "He removed his coat with" | | 8 | "Rory felt her pulse spike." | | 9 | "She'd heard whispers about the" | | 10 | "His smile was all teeth" | | 11 | "The blood drained from Rory's" | | 12 | "He moved deeper into the" | | 13 | "She stepped back, her heel" | | 14 | "He leaned against the wall," | | 15 | "Rory's stomach clenched." | | 16 | "She'd always suspected there was" | | 17 | "He pushed off the wall" | | 18 | "The lie came out automatically," | | 19 | "He repeated the word like" |
| | ratio | 0.745 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 55 | | matches | | 0 | "Either way, it was gone" | | 1 | "Before everything had fallen apart." |
| | ratio | 0.036 | |
| 37.04% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 4 | | matches | | 0 | "His heterochromatic eyes—one amber, one black—took in the cluttered hallway of her flat with the practiced assessment of someone who'd spent decades reading peo…" | | 1 | "But here she stood, barefoot and trembling in her thin dressing gown, facing the man who'd haunted her dreams for far too long." | | 2 | "She remembered the last time he'd touched her like this—gentle, reverent, as if she were something precious and fragile." | | 3 | "And the only person she'd ever wanted to save her standing right behind her, his arms wrapped protectively around her waist, his lips brushing her ear as he whi…" |
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| 95.59% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 1 | | matches | | 0 | "The lie came out, but his gaze didn't waver" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 7 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "He repeated (repeat)" | | 2 | "he observed quietly (observe)" | | 3 | "she breathed (breathe)" | | 4 | "Lucien murmured (murmur)" | | 5 | "she whispered (whisper)" | | 6 | "he murmured (murmur)" |
| | dialogueSentences | 42 | | tagDensity | 0.214 | | leniency | 0.429 | | rawRatio | 0.778 | | effectiveRatio | 0.333 | |