| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 36 | | tagDensity | 0.389 | | leniency | 0.778 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.74% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1536 | | 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) | |
| 38.15% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1536 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "maw" | | 2 | "silence" | | 3 | "shattered" | | 4 | "velvet" | | 5 | "perfect" | | 6 | "traced" | | 7 | "etched" | | 8 | "gloom" | | 9 | "echo" | | 10 | "trembled" | | 11 | "chilling" | | 12 | "vibrated" | | 13 | "flicker" | | 14 | "echoed" | | 15 | "wavering" |
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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 | 104 | | matches | (empty) | |
| 74.18% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 104 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 126 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 8 | | totalWords | 1526 | | ratio | 0.005 | | matches | | 0 | "The geometry of the rift is not fixed," |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 53 | | wordCount | 1138 | | uniqueNames | 16 | | maxNameDensity | 2.11 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 2 | | Harlow | 1 | | Quinn | 24 | | London | 2 | | Miller | 7 | | East | 1 | | End | 1 | | Veil | 2 | | Market | 1 | | Compass | 1 | | North | 1 | | Sergeant | 2 | | Oxford | 1 | | Kowalski | 1 | | Eva | 4 | | Deep | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Miller" | | 3 | "Sergeant" | | 4 | "Kowalski" | | 5 | "Eva" |
| | places | | 0 | "Camden" | | 1 | "London" | | 2 | "East" | | 3 | "End" | | 4 | "Oxford" |
| | globalScore | 0.446 | | windowScore | 0.333 | |
| 91.86% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 86 | | glossingSentenceCount | 2 | | matches | | 0 | "sigils that seemed to squirm if she looked at them too long" | | 1 | "sounded like screaming" |
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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 | 1526 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 126 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 31.79 | | std | 19.23 | | cv | 0.605 | | sampleLengths | | 0 | 60 | | 1 | 30 | | 2 | 15 | | 3 | 45 | | 4 | 39 | | 5 | 45 | | 6 | 4 | | 7 | 87 | | 8 | 29 | | 9 | 43 | | 10 | 39 | | 11 | 6 | | 12 | 38 | | 13 | 43 | | 14 | 6 | | 15 | 51 | | 16 | 48 | | 17 | 7 | | 18 | 11 | | 19 | 52 | | 20 | 19 | | 21 | 31 | | 22 | 57 | | 23 | 11 | | 24 | 73 | | 25 | 18 | | 26 | 27 | | 27 | 19 | | 28 | 42 | | 29 | 15 | | 30 | 16 | | 31 | 15 | | 32 | 23 | | 33 | 41 | | 34 | 3 | | 35 | 6 | | 36 | 34 | | 37 | 44 | | 38 | 11 | | 39 | 29 | | 40 | 54 | | 41 | 14 | | 42 | 37 | | 43 | 42 | | 44 | 18 | | 45 | 49 | | 46 | 22 | | 47 | 58 |
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| 98.52% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 104 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 189 | | matches | (empty) | |
| 52.15% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 1 | | flaggedSentences | 4 | | totalSentences | 126 | | ratio | 0.032 | | matches | | 0 | "She ignored the obvious signs of a struggle—the overturned crates, the scattered herbs." | | 1 | "She recognized the craftsmanship—Oxford leather, reinforced for heavy loads." | | 2 | "It didn't bleed; it unzipped." | | 3 | "She saw a flicker of movement within that light—a shape that shouldn't exist in a Camden basement." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1145 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.017467248908296942 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.00611353711790393 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 126 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 126 | | mean | 12.11 | | std | 6.53 | | cv | 0.539 | | sampleLengths | | 0 | 23 | | 1 | 9 | | 2 | 19 | | 3 | 9 | | 4 | 20 | | 5 | 9 | | 6 | 1 | | 7 | 15 | | 8 | 20 | | 9 | 3 | | 10 | 22 | | 11 | 28 | | 12 | 11 | | 13 | 14 | | 14 | 3 | | 15 | 11 | | 16 | 3 | | 17 | 14 | | 18 | 4 | | 19 | 10 | | 20 | 3 | | 21 | 20 | | 22 | 11 | | 23 | 14 | | 24 | 10 | | 25 | 8 | | 26 | 11 | | 27 | 14 | | 28 | 15 | | 29 | 9 | | 30 | 34 | | 31 | 5 | | 32 | 6 | | 33 | 6 | | 34 | 15 | | 35 | 7 | | 36 | 6 | | 37 | 6 | | 38 | 11 | | 39 | 6 | | 40 | 15 | | 41 | 15 | | 42 | 28 | | 43 | 6 | | 44 | 10 | | 45 | 6 | | 46 | 13 | | 47 | 15 | | 48 | 7 | | 49 | 6 |
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| 41.20% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.28 | | totalSentences | 125 | | uniqueOpeners | 35 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 99 | | matches | (empty) | | ratio | 0 | |
| 74.55% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 99 | | matches | | 0 | "She adjusted the brim of" | | 1 | "He looked pale." | | 2 | "It wasn't stone." | | 3 | "She’d seen one once before," | | 4 | "They descended a spiral of" | | 5 | "They emerged onto a platform" | | 6 | "It was the Veil Market," | | 7 | "He was young, dressed in" | | 8 | "She didn't look at the" | | 9 | "She looked at the man’s" | | 10 | "They were wide, the pupils" | | 11 | "She traced the line of" | | 12 | "She pulled back the man's" | | 13 | "Her boots clicked on the" | | 14 | "She ignored the obvious signs" | | 15 | "Her eyes locked on a" | | 16 | "She knelt, plucking it from" | | 17 | "It spun in a frantic," | | 18 | "She pointed to a ring" | | 19 | "She moved toward a pile" |
| | ratio | 0.364 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 92 | | totalSentences | 99 | | matches | | 0 | "Rain rattled against the corrugated" | | 1 | "Detective Harlow Quinn stepped through" | | 2 | "She adjusted the brim of" | | 3 | "The air tasted of ozone" | | 4 | "Quinn checked the worn leather" | | 5 | "Sergeant Miller stood by a" | | 6 | "He looked pale." | | 7 | "The man had seen twenty" | | 8 | "Miller pointed his light into" | | 9 | "Quinn nudged a discarded fragment" | | 10 | "It wasn't stone." | | 11 | "The curve suggested a human" | | 12 | "A bone token." | | 13 | "She’d seen one once before," | | 14 | "They descended a spiral of" | | 15 | "The temperature plummeted." | | 16 | "They emerged onto a platform" | | 17 | "It was the Veil Market," | | 18 | "Stalls made of driftwood and" | | 19 | "The scent of cinnamon and" |
| | ratio | 0.929 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 99 | | matches | (empty) | | ratio | 0 | |
| 60.44% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 52 | | technicalSentenceCount | 6 | | matches | | 0 | "Rain rattled against the corrugated iron roof of the Camden warehouse, a rhythmic drumming that masked the slap of boots on wet pavement." | | 1 | "Uniformed officers huddled near the mouth of a service tunnel that shouldn't have existed according to the city’s transit maps." | | 2 | "The wound was dry, cauterized by something that left the edges smelling of charred sage." | | 3 | "The brass casing carried a heavy patina of verdigris, and the glass face was etched with sigils that seemed to squirm if she looked at them too long." | | 4 | "The silence of the tunnel was gone, replaced by a low-frequency hum that vibrated in her teeth." | | 5 | "The sergeant was already scrambling for the stairs, his radio crackling with static that sounded like screaming." |
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| 17.86% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 3 | | matches | | 0 | "Quinn stepped, the brass compass heavy in her palm" | | 1 | "Quinn muttered, the realization chilling her more than the subterranean air" | | 2 | "Quinn realized, her voice steady despite the chaos unfolding around her" |
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| 11.11% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 5 | | fancyTags | | 0 | "Quinn muttered (mutter)" | | 1 | "Eva corrected (correct)" | | 2 | "Quinn snapped (snap)" | | 3 | "Quinn whispered (whisper)" | | 4 | "Quinn ordered (order)" |
| | dialogueSentences | 36 | | tagDensity | 0.139 | | leniency | 0.278 | | rawRatio | 1 | | effectiveRatio | 0.278 | |