| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 29 | | tagDensity | 0.379 | | leniency | 0.759 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 66.10% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 885 | | totalAiIsmAdverbs | 6 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | adverb | "deliberately" | | count | 1 |
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| | highlights | | 0 | "really" | | 1 | "hungrily" | | 2 | "quickly" | | 3 | "slowly" | | 4 | "deliberately" |
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| 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) | |
| 60.45% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 885 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "etched" | | 1 | "solace" | | 2 | "weight" | | 3 | "whisper" | | 4 | "unspoken" | | 5 | "flickered" |
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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 | 45 | | matches | (empty) | |
| 47.62% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 0 | | narrationSentences | 45 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 61 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 886 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 571 | | uniqueNames | 4 | | maxNameDensity | 1.58 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | | persons | | | places | | | globalScore | 0.712 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 31 | | 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 | 886 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 61 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 31.64 | | std | 20.52 | | cv | 0.648 | | sampleLengths | | 0 | 35 | | 1 | 30 | | 2 | 51 | | 3 | 23 | | 4 | 72 | | 5 | 12 | | 6 | 8 | | 7 | 70 | | 8 | 29 | | 9 | 12 | | 10 | 28 | | 11 | 82 | | 12 | 55 | | 13 | 45 | | 14 | 8 | | 15 | 32 | | 16 | 42 | | 17 | 12 | | 18 | 26 | | 19 | 52 | | 20 | 14 | | 21 | 25 | | 22 | 6 | | 23 | 39 | | 24 | 22 | | 25 | 23 | | 26 | 2 | | 27 | 31 |
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| 89.67% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 45 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 102 | | matches | (empty) | |
| 96.02% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 61 | | ratio | 0.016 | | matches | | 0 | "\"I see you come in here, Silas; I see the fights you had with yourself." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 529 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.03969754253308128 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.011342155009451797 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 61 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 61 | | mean | 14.52 | | std | 10.6 | | cv | 0.73 | | sampleLengths | | 0 | 35 | | 1 | 14 | | 2 | 16 | | 3 | 27 | | 4 | 24 | | 5 | 23 | | 6 | 31 | | 7 | 19 | | 8 | 22 | | 9 | 12 | | 10 | 8 | | 11 | 24 | | 12 | 14 | | 13 | 27 | | 14 | 5 | | 15 | 26 | | 16 | 3 | | 17 | 12 | | 18 | 17 | | 19 | 11 | | 20 | 3 | | 21 | 1 | | 22 | 37 | | 23 | 41 | | 24 | 9 | | 25 | 46 | | 26 | 18 | | 27 | 27 | | 28 | 6 | | 29 | 2 | | 30 | 1 | | 31 | 4 | | 32 | 3 | | 33 | 18 | | 34 | 3 | | 35 | 3 | | 36 | 14 | | 37 | 28 | | 38 | 3 | | 39 | 9 | | 40 | 10 | | 41 | 16 | | 42 | 9 | | 43 | 22 | | 44 | 21 | | 45 | 14 | | 46 | 10 | | 47 | 15 | | 48 | 6 | | 49 | 15 |
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| 65.03% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.45901639344262296 | | totalSentences | 61 | | uniqueOpeners | 28 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 41 | | matches | | 0 | "Too much dirt." | | 1 | "Too much heat." | | 2 | "Slowly, deliberately, Rory placed one" |
| | ratio | 0.073 | |
| 73.66% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 41 | | matches | | 0 | "He had come here tonight" | | 1 | "It had been over a" | | 2 | "she replied, a tough laugh" | | 3 | "He drank her in hungrily," | | 4 | "He shouldn't have asked her" | | 5 | "He snorted darkly." | | 6 | "he volatility, his voice breaking" | | 7 | "She couldn't know." | | 8 | "He had a man on" | | 9 | "He knew Rory wasn't upstairs" | | 10 | "He knew Rory was dead" | | 11 | "He could see the mirror" | | 12 | "he whispered, his words soaked" | | 13 | "He couldn't hold her gaze," | | 14 | "I know I pay every" |
| | ratio | 0.366 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 29 | | totalSentences | 41 | | matches | | 0 | "The dim lighting in The" | | 1 | "Silas nodded, the movement almost" | | 2 | "He had come here tonight" | | 3 | "Rory's reflection stared back at" | | 4 | "It had been over a" | | 5 | "Silas asked, his voice a" | | 6 | "she replied, a tough laugh" | | 7 | "He drank her in hungrily," | | 8 | "He shouldn't have asked her" | | 9 | "Lord knew the trouble she" | | 10 | "Rory said, leaning in closer," | | 11 | "A flash of understanding flickered" | | 12 | "He snorted darkly." | | 13 | "Laughter.\"Don't be daft. You don't" | | 14 | "Rory lifted her chin, meeting" | | 15 | "he volatility, his voice breaking" | | 16 | "Rory growled, a murderous petrichor" | | 17 | "Silas searched her face." | | 18 | "She couldn't know." | | 19 | "He had a man on" |
| | ratio | 0.707 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 41 | | matches | | 0 | "Now, she sat across from" |
| | ratio | 0.024 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 20 | | technicalSentenceCount | 1 | | matches | | 0 | "But now, an unexpected guest had arrived at the Nest, an old friend with a name that sent shockwaves through Silas's worn soul: Rory." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 2 | | matches | | 0 | "asked the bartender, her voice gentle as she refilled his glass" | | 1 | "Silas asked, his voice a rough whisper" |
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| 46.55% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 3 | | fancyTags | | 0 | "Rory growled (growl)" | | 1 | "Silas swore (swear)" | | 2 | "he whispered (whisper)" |
| | dialogueSentences | 29 | | tagDensity | 0.241 | | leniency | 0.483 | | rawRatio | 0.429 | | effectiveRatio | 0.207 | |