| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 1 | | adverbTags | | 0 | "Declan swallowed hard [hard]" |
| | dialogueSentences | 36 | | tagDensity | 0.111 | | leniency | 0.222 | | rawRatio | 0.25 | | effectiveRatio | 0.056 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1432 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 58.10% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1432 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "traced" | | 1 | "pulse" | | 2 | "reminder" | | 3 | "navigating" | | 4 | "weight" | | 5 | "scanned" | | 6 | "rhythmic" | | 7 | "silk" | | 8 | "fractured" | | 9 | "clandestine" | | 10 | "scanning" | | 11 | "pristine" |
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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 | 94 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 94 | | filterMatches | | | hedgeMatches | (empty) | |
| 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 | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1421 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 57 | | wordCount | 934 | | uniqueNames | 15 | | maxNameDensity | 2.14 | | worstName | "Declan" | | maxWindowNameDensity | 4 | | worstWindowName | "Declan" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Blitz | 1 | | Soho | 1 | | Golden | 1 | | Empress | 1 | | Silas | 7 | | Declan | 20 | | Hughes | 1 | | Cardiff | 2 | | University | 1 | | Rory | 17 | | London | 1 | | Underground | 1 | | Rolex | 1 |
| | persons | | 0 | "Nest" | | 1 | "Silas" | | 2 | "Declan" | | 3 | "Hughes" | | 4 | "Rory" | | 5 | "Underground" |
| | places | | 0 | "Raven" | | 1 | "Soho" | | 2 | "Cardiff" | | 3 | "London" |
| | globalScore | 0.429 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 76 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like an imposter wearing Declan’s" |
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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 | 1421 | | 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 | 61 | | mean | 23.3 | | std | 16.36 | | cv | 0.702 | | sampleLengths | | 0 | 42 | | 1 | 67 | | 2 | 60 | | 3 | 22 | | 4 | 30 | | 5 | 8 | | 6 | 65 | | 7 | 31 | | 8 | 15 | | 9 | 18 | | 10 | 21 | | 11 | 13 | | 12 | 1 | | 13 | 8 | | 14 | 32 | | 15 | 31 | | 16 | 13 | | 17 | 14 | | 18 | 21 | | 19 | 24 | | 20 | 34 | | 21 | 4 | | 22 | 2 | | 23 | 13 | | 24 | 24 | | 25 | 33 | | 26 | 27 | | 27 | 9 | | 28 | 18 | | 29 | 7 | | 30 | 14 | | 31 | 61 | | 32 | 19 | | 33 | 16 | | 34 | 7 | | 35 | 45 | | 36 | 26 | | 37 | 33 | | 38 | 13 | | 39 | 8 | | 40 | 53 | | 41 | 19 | | 42 | 31 | | 43 | 34 | | 44 | 36 | | 45 | 4 | | 46 | 4 | | 47 | 8 | | 48 | 13 | | 49 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 94 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 151 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 126 | | ratio | 0.008 | | matches | | 0 | "Declan unclasped his watch—a heavy platinum Rolex." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 944 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, crescent-shaped scar" |
| | adverbCount | 10 | | adverbRatio | 0.01059322033898305 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 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 | 11.28 | | std | 7.46 | | cv | 0.662 | | sampleLengths | | 0 | 17 | | 1 | 9 | | 2 | 16 | | 3 | 13 | | 4 | 11 | | 5 | 26 | | 6 | 17 | | 7 | 11 | | 8 | 12 | | 9 | 22 | | 10 | 15 | | 11 | 8 | | 12 | 14 | | 13 | 6 | | 14 | 11 | | 15 | 13 | | 16 | 8 | | 17 | 10 | | 18 | 5 | | 19 | 9 | | 20 | 13 | | 21 | 6 | | 22 | 7 | | 23 | 15 | | 24 | 5 | | 25 | 26 | | 26 | 2 | | 27 | 13 | | 28 | 4 | | 29 | 7 | | 30 | 7 | | 31 | 7 | | 32 | 4 | | 33 | 10 | | 34 | 13 | | 35 | 1 | | 36 | 4 | | 37 | 4 | | 38 | 9 | | 39 | 9 | | 40 | 14 | | 41 | 13 | | 42 | 18 | | 43 | 7 | | 44 | 6 | | 45 | 8 | | 46 | 6 | | 47 | 21 | | 48 | 5 | | 49 | 14 |
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| 44.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.23015873015873015 | | totalSentences | 126 | | uniqueOpeners | 29 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 92 | | matches | (empty) | | ratio | 0 | |
| 89.57% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 92 | | matches | | 0 | "She traced the pale groove," | | 1 | "She shrugged off her Golden" | | 2 | "He ran a cotton cloth" | | 3 | "His grey-streaked auburn hair caught" | | 4 | "He swiped rainwater from the" | | 5 | "He unbuttoned the jacket, revealing" | | 6 | "He subsisted on instant noodles." | | 7 | "He argued corporate malfeasance until" | | 8 | "He carried the posture of" | | 9 | "His gaze caught the movement" | | 10 | "His leather-soled shoes produced sharp," | | 11 | "He stopped one stool away" | | 12 | "She met his stare." | | 13 | "Her bright blue eyes swept" | | 14 | "His neat beard twitched as" | | 15 | "He set a cardboard coaster" | | 16 | "He stared down at her" | | 17 | "He brought it to his" | | 18 | "He broke eye contact, shifting" | | 19 | "He carried an empty liquor" |
| | ratio | 0.326 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 86 | | totalSentences | 92 | | matches | | 0 | "The distinctive green neon sign" | | 1 | "Rory pressed her thumb against" | | 2 | "She traced the pale groove," | | 3 | "The aroma of sesame oil" | | 4 | "She shrugged off her Golden" | | 5 | "A silver signet ring clicked" | | 6 | "He ran a cotton cloth" | | 7 | "His grey-streaked auburn hair caught" | | 8 | "The front door groaned on" | | 9 | "A rush of cold, damp" | | 10 | "A man stepped across the" | | 11 | "He swiped rainwater from the" | | 12 | "He unbuttoned the jacket, revealing" | | 13 | "Rory gripped the edge of" | | 14 | "He subsisted on instant noodles." | | 15 | "He argued corporate malfeasance until" | | 16 | "The man standing by the" | | 17 | "He carried the posture of" | | 18 | "Declan scanned the empty booths." | | 19 | "His gaze caught the movement" |
| | ratio | 0.935 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 92 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 1 | | matches | | 0 | "Declan parted his lips, exhaling a breath smelling of peppermint and expensive gin." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "Declan addressed (address)" |
| | dialogueSentences | 36 | | tagDensity | 0.028 | | leniency | 0.056 | | rawRatio | 1 | | effectiveRatio | 0.056 | |