| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 97 | | tagDensity | 0.052 | | leniency | 0.103 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1856 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 89.22% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1856 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "pulse" | | 1 | "traced" | | 2 | "trembled" | | 3 | "measured" |
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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 | 177 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 177 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 269 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1856 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 47.74% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 68 | | wordCount | 1369 | | uniqueNames | 10 | | maxNameDensity | 2.05 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Mercer" | | discoveredNames | | Harlow | 1 | | Quinn | 28 | | Graham | 1 | | Mercer | 21 | | Dr | 2 | | Patel | 2 | | Kowalski | 1 | | Eva | 6 | | Morris | 2 | | One | 4 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Graham" | | 3 | "Mercer" | | 4 | "Dr" | | 5 | "Patel" | | 6 | "Kowalski" | | 7 | "Eva" | | 8 | "Morris" | | 9 | "One" |
| | places | (empty) | | globalScore | 0.477 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 118 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.539 | | wordCount | 1856 | | matches | | 0 | "not north but towards the corpse, quivering as if caught in a current" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 269 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 182 | | mean | 10.2 | | std | 11.43 | | cv | 1.121 | | sampleLengths | | 0 | 4 | | 1 | 32 | | 2 | 3 | | 3 | 6 | | 4 | 7 | | 5 | 16 | | 6 | 38 | | 7 | 7 | | 8 | 6 | | 9 | 5 | | 10 | 7 | | 11 | 16 | | 12 | 20 | | 13 | 5 | | 14 | 69 | | 15 | 10 | | 16 | 6 | | 17 | 50 | | 18 | 5 | | 19 | 25 | | 20 | 4 | | 21 | 1 | | 22 | 3 | | 23 | 2 | | 24 | 1 | | 25 | 1 | | 26 | 2 | | 27 | 1 | | 28 | 17 | | 29 | 2 | | 30 | 2 | | 31 | 3 | | 32 | 33 | | 33 | 12 | | 34 | 4 | | 35 | 6 | | 36 | 6 | | 37 | 15 | | 38 | 45 | | 39 | 5 | | 40 | 10 | | 41 | 2 | | 42 | 4 | | 43 | 4 | | 44 | 15 | | 45 | 2 | | 46 | 2 | | 47 | 1 | | 48 | 7 | | 49 | 8 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 177 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 238 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 269 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1375 | | adjectiveStacks | 1 | | stackExamples | | 0 | "narrow rust-coloured smear" |
| | adverbCount | 22 | | adverbRatio | 0.016 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.002181818181818182 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 269 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 269 | | mean | 6.9 | | std | 4.93 | | cv | 0.714 | | sampleLengths | | 0 | 4 | | 1 | 16 | | 2 | 16 | | 3 | 3 | | 4 | 6 | | 5 | 7 | | 6 | 3 | | 7 | 13 | | 8 | 8 | | 9 | 14 | | 10 | 10 | | 11 | 6 | | 12 | 7 | | 13 | 6 | | 14 | 5 | | 15 | 7 | | 16 | 6 | | 17 | 10 | | 18 | 20 | | 19 | 5 | | 20 | 11 | | 21 | 11 | | 22 | 17 | | 23 | 8 | | 24 | 13 | | 25 | 9 | | 26 | 10 | | 27 | 6 | | 28 | 12 | | 29 | 8 | | 30 | 12 | | 31 | 5 | | 32 | 5 | | 33 | 8 | | 34 | 5 | | 35 | 8 | | 36 | 12 | | 37 | 5 | | 38 | 4 | | 39 | 1 | | 40 | 3 | | 41 | 2 | | 42 | 1 | | 43 | 1 | | 44 | 2 | | 45 | 1 | | 46 | 11 | | 47 | 6 | | 48 | 2 | | 49 | 2 |
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| 66.17% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.4216417910447761 | | totalSentences | 268 | | uniqueOpeners | 113 | |
| 64.10% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 156 | | matches | | 0 | "Once he had documented the" | | 1 | "Then the next." | | 2 | "Then the next." |
| | ratio | 0.019 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 156 | | matches | | 0 | "He retreated across the abandoned" | | 1 | "Their flames burned green, though" | | 2 | "Her worn leather watch pressed" | | 3 | "Its tick-tock sounded louder underground." | | 4 | "His right forefinger carried a" | | 5 | "She brought her face closer." | | 6 | "Her sharp jaw tightened as" | | 7 | "She followed them to an" | | 8 | "They vanished at its locked" | | 9 | "Its cramped writing shifted when" | | 10 | "She shut it with the" | | 11 | "Its black needle pointed not" | | 12 | "He passed her a small" | | 13 | "She slid its end beneath" | | 14 | "It crumbled into black punctuation." | | 15 | "It matched the residue inside" | | 16 | "It opened without resistance." | | 17 | "It no longer did." | | 18 | "Her round glasses hung from" | | 19 | "Her voice scraped out." |
| | ratio | 0.147 | |
| 85.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 117 | | totalSentences | 156 | | matches | | 0 | "Detective Harlow Quinn caught the" | | 1 | "The brass disc hanging from" | | 2 | "The constable froze." | | 3 | "Quinn released him." | | 4 | "He retreated across the abandoned" | | 5 | "A painted sign above him" | | 6 | "Something scratched inside the shuttered" | | 7 | "Mercer lifted a clear evidence" | | 8 | "Quinn looked along the platform." | | 9 | "Lanterns hung from iron hooks" | | 10 | "Their flames burned green, though" | | 11 | "Jars of teeth shared shelves" | | 12 | "A butcher’s counter displayed pale" | | 13 | "The air tasted of cloves," | | 14 | "The corpse sat against a" | | 15 | "A grey wool coat covered" | | 16 | "Blood had soaked his cream" | | 17 | "The other pierced the cloth" | | 18 | "Someone had removed his shoes." | | 19 | "Quinn crouched, keeping her balance" |
| | ratio | 0.75 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 156 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 3 | | matches | | 0 | "A butcher’s counter displayed pale roots that twitched when Quinn moved near them." | | 1 | "Its black needle pointed not north but towards the corpse, quivering as if caught in a current." | | 2 | "Quinn knew its rough edge, the clipped vowels, the breath that caught before her name." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 97 | | tagDensity | 0.041 | | leniency | 0.082 | | rawRatio | 0 | | effectiveRatio | 0 | |