| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 53 | | tagDensity | 0.208 | | leniency | 0.415 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.04% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1690 | | totalAiIsmAdverbs | 1 | | 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) | |
| 85.21% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1690 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "tracing" | | 1 | "implication" | | 2 | "shattered" | | 3 | "electric" | | 4 | "pulsed" |
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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 | 103 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 103 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 146 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1707 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 46 | | wordCount | 1246 | | uniqueNames | 13 | | maxNameDensity | 0.96 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 12 | | Eva | 5 | | Ptolemy | 6 | | Lucien | 10 | | Moreau | 2 | | November | 1 | | Yu-Fei | 4 | | Cardiff | 1 | | Evan | 1 | | London | 1 | | English | 1 | | Brick | 1 | | Lane | 1 |
| | persons | | 0 | "Rory" | | 1 | "Eva" | | 2 | "Ptolemy" | | 3 | "Lucien" | | 4 | "Moreau" | | 5 | "November" | | 6 | "Yu-Fei" | | 7 | "Evan" |
| | places | | 0 | "Cardiff" | | 1 | "London" | | 2 | "English" | | 3 | "Brick" | | 4 | "Lane" |
| | globalScore | 1 | | windowScore | 1 | |
| 84.21% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 76 | | glossingSentenceCount | 2 | | matches | | 0 | "en her ankles, apparently having decided the" | | 1 | "something between admiration and exasperation," |
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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 | 1707 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 146 | | matches | | 0 | "learned that skill" | | 1 | "had that night" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 70 | | mean | 24.39 | | std | 23.95 | | cv | 0.982 | | sampleLengths | | 0 | 51 | | 1 | 6 | | 2 | 48 | | 3 | 1 | | 4 | 37 | | 5 | 9 | | 6 | 4 | | 7 | 27 | | 8 | 4 | | 9 | 45 | | 10 | 5 | | 11 | 22 | | 12 | 54 | | 13 | 19 | | 14 | 9 | | 15 | 81 | | 16 | 5 | | 17 | 50 | | 18 | 1 | | 19 | 19 | | 20 | 8 | | 21 | 28 | | 22 | 61 | | 23 | 2 | | 24 | 3 | | 25 | 5 | | 26 | 60 | | 27 | 3 | | 28 | 29 | | 29 | 8 | | 30 | 45 | | 31 | 38 | | 32 | 12 | | 33 | 6 | | 34 | 113 | | 35 | 27 | | 36 | 15 | | 37 | 5 | | 38 | 17 | | 39 | 11 | | 40 | 16 | | 41 | 4 | | 42 | 4 | | 43 | 6 | | 44 | 42 | | 45 | 26 | | 46 | 99 | | 47 | 11 | | 48 | 3 | | 49 | 15 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 103 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 218 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 16 | | semicolonCount | 0 | | flaggedSentences | 12 | | totalSentences | 146 | | ratio | 0.082 | | matches | | 0 | "The other — the black one — swallowed it whole." | | 1 | "Better than good — the woman had given her a job when no one else would touch a stranger with no references and a face that flinched at loud voices." | | 2 | "Rory studied his face — the sharp jaw, the platinum hair plastered to his temples by the drizzle, the way his mouth had pressed into a line that had nothing to do with his usual sardonic drawl." | | 3 | "Lucien crossed the threshold like a man entering a minefield, his gaze sweeping the cramped flat — the books stacked on every surface, the scrolls pinned to the walls with thumbtacks, the research notes spread across Eva's tiny kitchen table in a cascade of highlighters and tea rings." | | 4 | "She read the symbols inked across its surface — angular, dense, written in a script she recognized from Eva's research but couldn't translate." | | 5 | "Tuesday evening — three days ago now — she'd dropped off the last delivery of the night and found Yu-Fei in the kitchen, staring at a sealed envelope with an expression the older woman had never worn before." | | 6 | "Something shifted behind his eyes — the amber one, the one that still carried something human." | | 7 | "The night he'd walked her home and stopped at her door and almost — almost — leaned in." | | 8 | "Lucien tracked the movement, his gaze following her hands as she reached for her jacket on the back of the chair — the worn leather one with the broken zipper she'd been meaning to fix for months." | | 9 | "Lucien watched her with an expression she couldn't read — something between admiration and exasperation, the same look he'd worn the night she'd picked the lock on a safe he'd spent an hour trying to crack." | | 10 | "\"I'm not staying here.\" She met him at the door, close enough to smell rain and charcoal wool and something underneath that was just him — something sharp and dark and electric." | | 11 | "Not a smile — Lucien Moreau didn't smile — but the ghost of one, the memory of a shape his face might one day learn." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 963 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.01557632398753894 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.004153686396677051 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 146 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 146 | | mean | 11.69 | | std | 9.5 | | cv | 0.812 | | sampleLengths | | 0 | 19 | | 1 | 21 | | 2 | 11 | | 3 | 6 | | 4 | 20 | | 5 | 9 | | 6 | 9 | | 7 | 10 | | 8 | 1 | | 9 | 7 | | 10 | 16 | | 11 | 14 | | 12 | 9 | | 13 | 4 | | 14 | 7 | | 15 | 20 | | 16 | 4 | | 17 | 3 | | 18 | 6 | | 19 | 30 | | 20 | 6 | | 21 | 5 | | 22 | 14 | | 23 | 6 | | 24 | 2 | | 25 | 7 | | 26 | 37 | | 27 | 3 | | 28 | 7 | | 29 | 18 | | 30 | 1 | | 31 | 9 | | 32 | 48 | | 33 | 7 | | 34 | 11 | | 35 | 4 | | 36 | 3 | | 37 | 8 | | 38 | 5 | | 39 | 17 | | 40 | 11 | | 41 | 22 | | 42 | 1 | | 43 | 19 | | 44 | 8 | | 45 | 13 | | 46 | 15 | | 47 | 6 | | 48 | 14 | | 49 | 6 |
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| 50.23% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3424657534246575 | | totalSentences | 146 | | uniqueOpeners | 50 | |
| 35.46% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 94 | | matches | | 0 | "Somewhere below, the curry house" |
| | ratio | 0.011 | |
| 75.32% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 94 | | matches | | 0 | "She expected Eva on the" | | 1 | "She expected Ptolemy to make" | | 2 | "She did not expect Lucien" | | 3 | "He stood in the narrow" | | 4 | "Her hand tightened on the" | | 5 | "She started pushing the door" | | 6 | "His cane shot out, the" | | 7 | "Her jaw tightened." | | 8 | "He looked tired." | | 9 | "She'd never seen him look" | | 10 | "She stepped back and let" | | 11 | "He took it all in" | | 12 | "His nostrils flared once, and" | | 13 | "She pulled out the kitchen" | | 14 | "He rested both hands on" | | 15 | "His mismatched eyes locked onto" | | 16 | "She kept her expression flat," | | 17 | "He reached inside his jacket" | | 18 | "She read the symbols inked" | | 19 | "Her heart had picked up" |
| | ratio | 0.362 | |
| 29.15% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 81 | | totalSentences | 94 | | matches | | 0 | "The third deadbolt stuck, as" | | 1 | "She expected Eva on the" | | 2 | "She expected Ptolemy to make" | | 3 | "She did not expect Lucien" | | 4 | "He stood in the narrow" | | 5 | "Rain had darkened the shoulders" | | 6 | "The other — the black" | | 7 | "Her hand tightened on the" | | 8 | "The crescent scar on her" | | 9 | "She started pushing the door" | | 10 | "His cane shot out, the" | | 11 | "Her jaw tightened." | | 12 | "Yu-Fei had been good to" | | 13 | "Rory's hand stalled on the" | | 14 | "Lucien's voice dropped, losing its" | | 15 | "The mask slipped, just a" | | 16 | "The words hung between them" | | 17 | "Rory studied his face —" | | 18 | "He looked tired." | | 19 | "She'd never seen him look" |
| | ratio | 0.862 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 94 | | matches | (empty) | | ratio | 0 | |
| 40.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 6 | | matches | | 0 | "Better than good — the woman had given her a job when no one else would touch a stranger with no references and a face that flinched at loud voices." | | 1 | "Rory studied his face — the sharp jaw, the platinum hair plastered to his temples by the drizzle, the way his mouth had pressed into a line that had nothing to …" | | 2 | "Lucien crossed the threshold like a man entering a minefield, his gaze sweeping the cramped flat — the books stacked on every surface, the scrolls pinned to the…" | | 3 | "Had noted her absence like a man checking a box on a list, or like a man who'd spent sleepless nights pacing a floor he wouldn't admit to pacing." | | 4 | "The ink was cold against her fingers, the script crawling with faint, residual energy that made her skin crawl." | | 5 | "Lucien tracked the movement, his gaze following her hands as she reached for her jacket on the back of the chair — the worn leather one with the broken zipper s…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 53 | | tagDensity | 0.038 | | leniency | 0.075 | | rawRatio | 0 | | effectiveRatio | 0 | |