| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 2 | | adverbTags | | 0 | "Eva said quickly [quickly]" | | 1 | "Eva said quietly [quietly]" |
| | dialogueSentences | 40 | | tagDensity | 0.425 | | leniency | 0.85 | | rawRatio | 0.118 | | effectiveRatio | 0.1 | |
| 87.89% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1239 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slowly" | | 1 | "quickly" | | 2 | "suddenly" |
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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) | |
| 63.68% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1239 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "chill" | | 1 | "footsteps" | | 2 | "echoed" | | 3 | "tinged" | | 4 | "gloom" | | 5 | "etched" | | 6 | "absolutely" | | 7 | "flickered" |
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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 | 92 | | matches | (empty) | |
| 96.27% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 0 | | narrationSentences | 92 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 114 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1224 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 60 | | wordCount | 917 | | uniqueNames | 12 | | maxNameDensity | 2.84 | | worstName | "Quinn" | | maxWindowNameDensity | 5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 26 | | October | 1 | | Market | 3 | | Saturday | 1 | | Eva | 18 | | Kowalski | 1 | | Veil | 1 | | Metropolitan | 1 | | Police | 1 | | Aurora | 2 | | Morris | 3 | | London | 2 |
| | persons | | 0 | "Quinn" | | 1 | "October" | | 2 | "Market" | | 3 | "Eva" | | 4 | "Kowalski" | | 5 | "Aurora" | | 6 | "Morris" |
| | places | | | globalScore | 0.082 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like human skin" |
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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 | 1224 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 114 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 26.61 | | std | 15.65 | | cv | 0.588 | | sampleLengths | | 0 | 74 | | 1 | 50 | | 2 | 14 | | 3 | 36 | | 4 | 18 | | 5 | 30 | | 6 | 73 | | 7 | 32 | | 8 | 19 | | 9 | 45 | | 10 | 16 | | 11 | 30 | | 12 | 5 | | 13 | 30 | | 14 | 20 | | 15 | 23 | | 16 | 9 | | 17 | 25 | | 18 | 7 | | 19 | 37 | | 20 | 32 | | 21 | 28 | | 22 | 32 | | 23 | 10 | | 24 | 38 | | 25 | 32 | | 26 | 11 | | 27 | 11 | | 28 | 40 | | 29 | 1 | | 30 | 7 | | 31 | 7 | | 32 | 26 | | 33 | 30 | | 34 | 31 | | 35 | 5 | | 36 | 24 | | 37 | 42 | | 38 | 30 | | 39 | 31 | | 40 | 34 | | 41 | 21 | | 42 | 44 | | 43 | 29 | | 44 | 27 | | 45 | 8 |
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| 97.64% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 92 | | matches | | 0 | "were pulled" | | 1 | "was gone" |
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| 44.96% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 172 | | matches | | 0 | "was, breathing" | | 1 | "were running" | | 2 | "was packing" | | 3 | "was emptying" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 114 | | ratio | 0.096 | | matches | | 0 | "The constable who'd handed it to her had been sweating despite the October chill, his explanation stumbling over itself—something about evidence leading them here, about following protocol, about jurisdiction." | | 1 | "Quinn's footsteps echoed wrong—too many returns, as if the space couldn't decide how big it wanted to be." | | 2 | "The air grew thick, tinged with copper and something else—ozone, maybe, or the smell before lightning strikes." | | 3 | "The proportions were wrong—arms too long, torso compressed." | | 4 | "Eva glanced at her watch—an antique thing that probably came from one of these stalls." | | 5 | "She'd seen similar marks three years ago, the night Morris—" | | 6 | "\"Two years. Since I started at the Museum.\" Eva was packing items into her satchel now—a compass with a spinning needle, bottles of dark liquid." | | 7 | "The scorch pattern definitely matched the photos from Morris's scene—photos that had mysteriously corrupted on every device, leaving her with only memory and nightmares." | | 8 | "In the absolute dark, Quinn heard footsteps—too many, moving in directions that didn't exist." | | 9 | "They emerged behind a chip shop, the normal world crashing back—car horns, conversation, the smell of frying oil." | | 10 | "She pulled out Eva's card—mundane cardstock, but the number written in ink that shifted color in the light." |
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| 95.44% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 929 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 42 | | adverbRatio | 0.04520990312163617 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.016146393972012917 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 114 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 114 | | mean | 10.74 | | std | 6.58 | | cv | 0.613 | | sampleLengths | | 0 | 24 | | 1 | 29 | | 2 | 5 | | 3 | 16 | | 4 | 17 | | 5 | 15 | | 6 | 18 | | 7 | 10 | | 8 | 4 | | 9 | 11 | | 10 | 19 | | 11 | 6 | | 12 | 7 | | 13 | 11 | | 14 | 23 | | 15 | 7 | | 16 | 7 | | 17 | 17 | | 18 | 20 | | 19 | 14 | | 20 | 15 | | 21 | 3 | | 22 | 8 | | 23 | 10 | | 24 | 11 | | 25 | 6 | | 26 | 13 | | 27 | 20 | | 28 | 7 | | 29 | 18 | | 30 | 8 | | 31 | 8 | | 32 | 10 | | 33 | 2 | | 34 | 8 | | 35 | 10 | | 36 | 5 | | 37 | 10 | | 38 | 20 | | 39 | 15 | | 40 | 5 | | 41 | 19 | | 42 | 4 | | 43 | 5 | | 44 | 4 | | 45 | 5 | | 46 | 15 | | 47 | 5 | | 48 | 7 | | 49 | 33 |
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| 61.11% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.40350877192982454 | | totalSentences | 114 | | uniqueOpeners | 46 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 83 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 83 | | matches | | 0 | "She'd taken the token anyway." | | 1 | "Her red curls were pulled" | | 2 | "Her worn leather watch showed" | | 3 | "They stopped at a cleared" | | 4 | "She'd seen similar marks three" | | 5 | "They climbed blind until gray" | | 6 | "They emerged behind a chip" | | 7 | "It had felt like hours." | | 8 | "She walked away before Quinn" | | 9 | "She pulled out Eva's card—mundane" | | 10 | "Her partner was gone, but" | | 11 | "She pocketed the card and" |
| | ratio | 0.145 | |
| 38.31% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 70 | | totalSentences | 83 | | matches | | 0 | "The bone token felt wrong" | | 1 | "The constable who'd handed it" | | 2 | "She'd taken the token anyway." | | 3 | "The abandoned platform stretched before" | | 4 | "Camden Market thrummed somewhere above," | | 5 | "Quinn's footsteps echoed wrong—too many" | | 6 | "The voice emerged from shadows" | | 7 | "Eva Kowalski stepped into the" | | 8 | "Her red curls were pulled" | | 9 | "Quinn's hand drifted to her" | | 10 | "Quinn kept her voice level" | | 11 | "Eva tucked a stray curl" | | 12 | "Quinn followed her deeper into" | | 13 | "The air grew thick, tinged" | | 14 | "A woman with too many" | | 15 | "A man whose face kept" | | 16 | "The Veil Market." | | 17 | "Quinn had heard whispers, dismissed" | | 18 | "The kind of story criminals" | | 19 | "Quinn said, forcing focus" |
| | ratio | 0.843 | |
| 60.24% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 83 | | matches | | 0 | "Now she wondered what else" |
| | ratio | 0.012 | |
| 6.80% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 8 | | matches | | 0 | "The constable who'd handed it to her had been sweating despite the October chill, his explanation stumbling over itself—something about evidence leading them he…" | | 1 | "Quinn's footsteps echoed wrong—too many returns, as if the space couldn't decide how big it wanted to be." | | 2 | "Market stalls materialized from the gloom: canvas and wood structures that shouldn't exist, displaying wares that made her vision swim." | | 3 | "Eva led her past a stall selling brass compasses, their faces etched with symbols that hurt to look at directly." | | 4 | "The platform lights flickered, threatening to leave them in darkness that felt hungry." | | 5 | "The scorch pattern definitely matched the photos from Morris's scene—photos that had mysteriously corrupted on every device, leaving her with only memory and ni…" | | 6 | "In the absolute dark, Quinn heard footsteps—too many, moving in directions that didn't exist." | | 7 | "She pulled out Eva's card—mundane cardstock, but the number written in ink that shifted color in the light." |
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| 95.59% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 1 | | matches | | 0 | "Quinn pulled out, the mundane action grounding her" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 40 | | tagDensity | 0.175 | | leniency | 0.35 | | rawRatio | 0 | | effectiveRatio | 0 | |