| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 41 | | tagDensity | 0.366 | | leniency | 0.732 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1000 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 80.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1000 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "etched" | | 1 | "pulse" | | 2 | "quivered" | | 3 | "perfect" |
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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 | 98 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 98 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 124 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1000 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 72.21% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 707 | | uniqueNames | 6 | | maxNameDensity | 1.56 | | worstName | "Brenner" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Brenner" | | discoveredNames | | Brenner | 11 | | Quinn | 7 | | Met | 1 | | Morris | 3 | | Whitechapel | 1 | | Chain | 1 |
| | persons | | 0 | "Brenner" | | 1 | "Quinn" | | 2 | "Morris" |
| | places | | | globalScore | 0.722 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1000 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 124 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 19.23 | | std | 20.12 | | cv | 1.046 | | sampleLengths | | 0 | 28 | | 1 | 27 | | 2 | 36 | | 3 | 5 | | 4 | 4 | | 5 | 27 | | 6 | 8 | | 7 | 3 | | 8 | 65 | | 9 | 6 | | 10 | 10 | | 11 | 2 | | 12 | 8 | | 13 | 42 | | 14 | 6 | | 15 | 4 | | 16 | 2 | | 17 | 69 | | 18 | 30 | | 19 | 4 | | 20 | 26 | | 21 | 28 | | 22 | 32 | | 23 | 9 | | 24 | 7 | | 25 | 9 | | 26 | 4 | | 27 | 54 | | 28 | 6 | | 29 | 5 | | 30 | 62 | | 31 | 4 | | 32 | 55 | | 33 | 3 | | 34 | 52 | | 35 | 6 | | 36 | 23 | | 37 | 2 | | 38 | 73 | | 39 | 32 | | 40 | 13 | | 41 | 17 | | 42 | 5 | | 43 | 1 | | 44 | 3 | | 45 | 3 | | 46 | 27 | | 47 | 5 | | 48 | 1 | | 49 | 34 |
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| 98.10% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 98 | | matches | | 0 | "been disturbed" | | 1 | "was allowed" |
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| 96.64% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 129 | | matches | | 0 | "wasn't pointing" | | 1 | "wasn't pointing" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 124 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 709 | | adjectiveStacks | 1 | | stackExamples | | 0 | "north, south, east, west." |
| | adverbCount | 20 | | adverbRatio | 0.028208744710860368 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0014104372355430183 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 124 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 124 | | mean | 8.06 | | std | 7.75 | | cv | 0.961 | | sampleLengths | | 0 | 28 | | 1 | 11 | | 2 | 9 | | 3 | 7 | | 4 | 10 | | 5 | 26 | | 6 | 5 | | 7 | 4 | | 8 | 5 | | 9 | 1 | | 10 | 7 | | 11 | 14 | | 12 | 2 | | 13 | 6 | | 14 | 3 | | 15 | 5 | | 16 | 1 | | 17 | 2 | | 18 | 13 | | 19 | 21 | | 20 | 5 | | 21 | 3 | | 22 | 3 | | 23 | 12 | | 24 | 6 | | 25 | 10 | | 26 | 2 | | 27 | 3 | | 28 | 5 | | 29 | 3 | | 30 | 10 | | 31 | 14 | | 32 | 4 | | 33 | 1 | | 34 | 1 | | 35 | 9 | | 36 | 6 | | 37 | 4 | | 38 | 2 | | 39 | 5 | | 40 | 18 | | 41 | 8 | | 42 | 4 | | 43 | 34 | | 44 | 30 | | 45 | 4 | | 46 | 2 | | 47 | 9 | | 48 | 6 | | 49 | 9 |
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| 88.98% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.5725806451612904 | | totalSentences | 124 | | uniqueOpeners | 71 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 70 | | matches | | 0 | "Somewhere water dripped, steady as" | | 1 | "Then a draught crossed her" | | 2 | "Too straight, too clean, running" |
| | ratio | 0.043 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 70 | | matches | | 0 | "She rose, circling the body." | | 1 | "His face had locked into" | | 2 | "They didn't bulge." | | 3 | "She crouched again and lifted" | | 4 | "She didn't answer that either." | | 5 | "She tilted it under the" | | 6 | "Her pulse ticked up." | | 7 | "She kept her face flat." | | 8 | "She set the bag on" | | 9 | "It wasn't pointing north." | | 10 | "It wasn't pointing anywhere a" | | 11 | "It quivered, then swung, then" | | 12 | "She pressed a palm against" | | 13 | "She ran her fingers along" | | 14 | "He came, grumbling." | | 15 | "She took the light and" | | 16 | "She crouched by the body" | | 17 | "She'd seen that arc before." | | 18 | "She picked up the evidence" | | 19 | "She looked up at the" |
| | ratio | 0.3 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 49 | | totalSentences | 70 | | matches | | 0 | "The body sat upright in" | | 1 | "Quinn crouched three feet away," | | 2 | "The forensics lamps threw long" | | 3 | "Quinn pointed at the shoes." | | 4 | "Leather soles, not a scuff" | | 5 | "She rose, circling the body." | | 6 | "A signet ring on the" | | 7 | "His face had locked into" | | 8 | "They didn't bulge." | | 9 | "Quinn said nothing." | | 10 | "She crouched again and lifted" | | 11 | "The fingers came up stiff," | | 12 | "A mark crossed it." | | 13 | "She didn't answer that either." | | 14 | "The shape nagged at her," | | 15 | "Notebooks full of them." | | 16 | "None of which she'd shown" | | 17 | "Brenner went on" | | 18 | "Brenner produced an evidence bag" | | 19 | "Wallet, phone, a fold of" |
| | ratio | 0.7 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 70 | | matches | (empty) | | ratio | 0 | |
| 80.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 2 | | matches | | 0 | "The body sat upright in the middle of the abandoned platform, hands folded in its lap like a man waiting for a train that stopped running in 1924." | | 1 | "His face had locked into something Quinn had seen before, the slack-jawed surprise of a man who'd glimpsed the end coming." |
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| 91.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 1 | | matches | | 0 | "Brenner stood, shoes scuffing grit" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 41 | | tagDensity | 0.195 | | leniency | 0.39 | | rawRatio | 0 | | effectiveRatio | 0 | |