| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 26 | | adverbTagCount | 1 | | adverbTags | | 0 | "Miller chuckled nervously [nervously]" |
| | dialogueSentences | 63 | | tagDensity | 0.413 | | leniency | 0.825 | | rawRatio | 0.038 | | effectiveRatio | 0.032 | |
| 78.13% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1372 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "eagerly" | | 1 | "perfectly" | | 2 | "lazily" | | 3 | "really" | | 4 | "nervously" |
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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) | |
| 63.56% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1372 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "shimmered" | | 1 | "echoing" | | 2 | "pristine" | | 3 | "traced" | | 4 | "weight" | | 5 | "etched" | | 6 | "magnetic" | | 7 | "racing" | | 8 | "vibrated" | | 9 | "silence" |
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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 | 121 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 121 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 158 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1362 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 45.62% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 52 | | wordCount | 958 | | uniqueNames | 14 | | maxNameDensity | 2.09 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 20 | | Tube | 1 | | Camden | 1 | | Miller | 13 | | Morris | 4 | | North | 1 | | Veil | 1 | | Compass | 4 | | British | 1 | | Museum | 2 | | London | 1 | | Market | 1 | | Ford | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Camden" | | 3 | "Miller" | | 4 | "Morris" | | 5 | "Compass" | | 6 | "Market" | | 7 | "Ford" |
| | places | | 0 | "British" | | 1 | "Museum" | | 2 | "London" |
| | globalScore | 0.456 | | windowScore | 0.5 | |
| 7.14% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 70 | | glossingSentenceCount | 4 | | matches | | 0 | "sounded like a herd of elephants in a libr" | | 1 | "looked like it had been punched through b" | | 2 | "sounded like a ticking clock" | | 3 | "sounded like Morris's voice" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.734 | | wordCount | 1362 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 158 | | matches | | 0 | "possessed that military" | | 1 | "being that way" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 64 | | mean | 21.28 | | std | 16.38 | | cv | 0.77 | | sampleLengths | | 0 | 24 | | 1 | 6 | | 2 | 52 | | 3 | 30 | | 4 | 25 | | 5 | 30 | | 6 | 21 | | 7 | 20 | | 8 | 44 | | 9 | 24 | | 10 | 17 | | 11 | 4 | | 12 | 11 | | 13 | 35 | | 14 | 8 | | 15 | 7 | | 16 | 3 | | 17 | 37 | | 18 | 60 | | 19 | 5 | | 20 | 3 | | 21 | 22 | | 22 | 19 | | 23 | 7 | | 24 | 23 | | 25 | 3 | | 26 | 67 | | 27 | 3 | | 28 | 5 | | 29 | 7 | | 30 | 40 | | 31 | 23 | | 32 | 33 | | 33 | 7 | | 34 | 16 | | 35 | 10 | | 36 | 34 | | 37 | 40 | | 38 | 13 | | 39 | 3 | | 40 | 38 | | 41 | 14 | | 42 | 8 | | 43 | 64 | | 44 | 14 | | 45 | 35 | | 46 | 4 | | 47 | 43 | | 48 | 3 | | 49 | 46 |
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| 96.56% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 121 | | matches | | 0 | "were scuffed" | | 1 | "been punched" | | 2 | "was carved" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 179 | | matches | | 0 | "was asking" | | 1 | "was locking" | | 2 | "was pointing" | | 3 | "was pointing" | | 4 | "was stealing" | | 5 | "wasn't playing" |
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| 70.52% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 1 | | flaggedSentences | 4 | | totalSentences | 158 | | ratio | 0.025 | | matches | | 0 | "The body didn't just sit on the platform; someone had staged it there, like a grotesque piece of performance art left for the rats." | | 1 | "The air down here—three levels below the bustling streets of Camden—tasted of copper and old electricity." | | 2 | "The layout of the debris—a broken chair, a pile of wet cardboard, the body—formed a triangle." | | 3 | "The Compass in her pocket vibrated—a short, sharp buzz against her hip." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 708 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.02401129943502825 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.005649717514124294 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 158 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 158 | | mean | 8.62 | | std | 6.24 | | cv | 0.723 | | sampleLengths | | 0 | 24 | | 1 | 6 | | 2 | 9 | | 3 | 18 | | 4 | 16 | | 5 | 9 | | 6 | 17 | | 7 | 13 | | 8 | 6 | | 9 | 8 | | 10 | 11 | | 11 | 17 | | 12 | 9 | | 13 | 2 | | 14 | 2 | | 15 | 9 | | 16 | 10 | | 17 | 2 | | 18 | 13 | | 19 | 7 | | 20 | 6 | | 21 | 1 | | 22 | 2 | | 23 | 16 | | 24 | 3 | | 25 | 16 | | 26 | 11 | | 27 | 13 | | 28 | 5 | | 29 | 7 | | 30 | 5 | | 31 | 4 | | 32 | 11 | | 33 | 4 | | 34 | 3 | | 35 | 2 | | 36 | 6 | | 37 | 20 | | 38 | 5 | | 39 | 3 | | 40 | 4 | | 41 | 3 | | 42 | 3 | | 43 | 4 | | 44 | 10 | | 45 | 7 | | 46 | 16 | | 47 | 10 | | 48 | 8 | | 49 | 5 |
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| 71.73% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.4873417721518987 | | totalSentences | 158 | | uniqueOpeners | 77 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 106 | | matches | | 0 | "Instead of blue, they traced" | | 1 | "Instead, etched sigils spiraled inward" | | 2 | "Just like Morris's case files." | | 3 | "Just like the report on" | | 4 | "Then it cleared to the" |
| | ratio | 0.047 | |
| 87.92% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 106 | | matches | | 0 | "She kept her eyes fixed" | | 1 | "It made the hair on" | | 2 | "She crouched, the leather of" | | 3 | "She pulled a pen from" | | 4 | "It shimmered faintly in the" | | 5 | "He sounded like a herd" | | 6 | "His skin held a grey," | | 7 | "She grabbed the victim's wrist" | | 8 | "She stood up, her knees" | | 9 | "She touched the worn leather" | | 10 | "She had seen the teeth." | | 11 | "He patted down the suit" | | 12 | "He pulled out a small," | | 13 | "It was heavy, dense." | | 14 | "She unfolded the cloth." | | 15 | "She snapped the casing shut" | | 16 | "She walked past the body," | | 17 | "she said, more to herself" | | 18 | "It was carved from a" | | 19 | "It was warm." |
| | ratio | 0.33 | |
| 59.06% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 85 | | totalSentences | 106 | | matches | | 0 | "The body didn't just sit" | | 1 | "Detective Harlow Quinn didn't look" | | 2 | "She kept her eyes fixed" | | 3 | "The air down here—three levels" | | 4 | "It made the hair on" | | 5 | "DC Miller said, his voice" | | 6 | "She crouched, the leather of" | | 7 | "She pulled a pen from" | | 8 | "It shimmered faintly in the" | | 9 | "Miller stepped closer, his heavy" | | 10 | "He sounded like a herd" | | 11 | "Quinn snapped a latex glove" | | 12 | "The beam washed over the" | | 13 | "An incongruous detail." | | 14 | "His skin held a grey," | | 15 | "Miller stated, sounding more like" | | 16 | "Quinn leaned in" | | 17 | "The smell of burnt sugar" | | 18 | "She grabbed the victim's wrist" | | 19 | "The skin was pristine." |
| | ratio | 0.802 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 106 | | matches | | 0 | "If this found its way" | | 1 | "Before she realized the law" | | 2 | "If the Market had moved," |
| | ratio | 0.028 | |
| 81.63% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 3 | | matches | | 0 | "Instead of blue, they traced a web of ink-black lines up his forearm, pulsing with a stillness that defied biology." | | 1 | "The casing was small brass, covered in a patina of verdigris that felt slick against her glove." | | 2 | "Her voice possessed that military precision that made people straighten their spines." |
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| 48.08% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 26 | | uselessAdditionCount | 4 | | matches | | 0 | "DC Miller said, his voice bouncing too eagerly off the curved tunnel walls" | | 1 | "Miller knelt, his movements stiff" | | 2 | "she said, more to herself than him" | | 3 | "Quinn moved, her mind already racing" |
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| 23.02% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 8 | | fancyTags | | 0 | "Quinn snapped (snap)" | | 1 | "Miller stated (state)" | | 2 | "she ordered (order)" | | 3 | "Miller observed (observe)" | | 4 | "Quinn muttered (mutter)" | | 5 | "Miller chuckled nervously (chuckle)" | | 6 | "Quinn continued (continue)" | | 7 | "she whispered (whisper)" |
| | dialogueSentences | 63 | | tagDensity | 0.238 | | leniency | 0.476 | | rawRatio | 0.533 | | effectiveRatio | 0.254 | |