| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 1 | | adverbTags | | 0 | "Claudia smiled again [again]" |
| | dialogueSentences | 61 | | tagDensity | 0.295 | | leniency | 0.59 | | rawRatio | 0.056 | | effectiveRatio | 0.033 | |
| 87.91% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1241 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "precisely" | | 1 | "really" | | 2 | "suddenly" |
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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) | |
| 55.68% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1241 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "crystal" | | 1 | "familiar" | | 2 | "scanning" | | 3 | "navigated" | | 4 | "eyebrow" | | 5 | "silence" | | 6 | "weight" | | 7 | "flickered" | | 8 | "comfortable" |
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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 | 77 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 77 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 120 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 53 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1241 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 23 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 48 | | wordCount | 723 | | uniqueNames | 5 | | maxNameDensity | 2.9 | | worstName | "Claudia" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Claudia" | | discoveredNames | | Rory | 19 | | Byrne | 1 | | Claudia | 21 | | Silas | 6 | | August | 1 |
| | persons | | 0 | "Rory" | | 1 | "Byrne" | | 2 | "Claudia" | | 3 | "Silas" |
| | places | | | globalScore | 0.048 | | windowScore | 0 | |
| 53.85% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a countdown" | | 1 | "appeared beside Rory, his hand closing over the envelope before she could reach for it" |
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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 | 1241 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 120 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 64 | | mean | 19.39 | | std | 16.46 | | cv | 0.849 | | sampleLengths | | 0 | 11 | | 1 | 22 | | 2 | 65 | | 3 | 2 | | 4 | 38 | | 5 | 10 | | 6 | 2 | | 7 | 7 | | 8 | 43 | | 9 | 19 | | 10 | 17 | | 11 | 22 | | 12 | 20 | | 13 | 35 | | 14 | 6 | | 15 | 3 | | 16 | 23 | | 17 | 5 | | 18 | 29 | | 19 | 2 | | 20 | 44 | | 21 | 8 | | 22 | 10 | | 23 | 49 | | 24 | 19 | | 25 | 2 | | 26 | 10 | | 27 | 41 | | 28 | 17 | | 29 | 6 | | 30 | 5 | | 31 | 31 | | 32 | 17 | | 33 | 3 | | 34 | 50 | | 35 | 1 | | 36 | 2 | | 37 | 18 | | 38 | 35 | | 39 | 8 | | 40 | 3 | | 41 | 12 | | 42 | 1 | | 43 | 68 | | 44 | 46 | | 45 | 7 | | 46 | 23 | | 47 | 2 | | 48 | 24 | | 49 | 47 |
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| 96.15% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 77 | | matches | | 0 | "been carved" | | 1 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 120 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 120 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 724 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.03729281767955801 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.011049723756906077 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 120 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 120 | | mean | 10.34 | | std | 8.3 | | cv | 0.802 | | sampleLengths | | 0 | 11 | | 1 | 21 | | 2 | 1 | | 3 | 3 | | 4 | 26 | | 5 | 11 | | 6 | 8 | | 7 | 17 | | 8 | 2 | | 9 | 9 | | 10 | 23 | | 11 | 6 | | 12 | 10 | | 13 | 2 | | 14 | 7 | | 15 | 11 | | 16 | 8 | | 17 | 24 | | 18 | 15 | | 19 | 4 | | 20 | 12 | | 21 | 5 | | 22 | 5 | | 23 | 12 | | 24 | 5 | | 25 | 5 | | 26 | 15 | | 27 | 5 | | 28 | 5 | | 29 | 25 | | 30 | 6 | | 31 | 3 | | 32 | 6 | | 33 | 12 | | 34 | 2 | | 35 | 3 | | 36 | 5 | | 37 | 27 | | 38 | 2 | | 39 | 2 | | 40 | 12 | | 41 | 7 | | 42 | 25 | | 43 | 3 | | 44 | 5 | | 45 | 7 | | 46 | 3 | | 47 | 18 | | 48 | 10 | | 49 | 2 |
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| 67.22% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.43333333333333335 | | totalSentences | 120 | | uniqueOpeners | 52 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 69 | | matches | | 0 | "Then Claudia reached into her" | | 1 | "Then she was gone, the" | | 2 | "Somewhere, a man who'd once" |
| | ratio | 0.043 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 69 | | matches | | 0 | "She didn't answer." | | 1 | "Her coat was cashmere, deep" | | 2 | "She navigated the scattered tables" | | 3 | "She signaled Silas with a" | | 4 | "He poured without comment, setting" | | 5 | "She'd read every card, tucked" | | 6 | "She set her glass down" | | 7 | "he said, his gaze lingering" | | 8 | "She gave the slightest shake" | | 9 | "She turned her new glass" | | 10 | "She placed it between them" | | 11 | "She pushed the envelope toward" | | 12 | "She left the envelope on" | | 13 | "She looked at him, at" | | 14 | "He pocketed the envelope" |
| | ratio | 0.217 | |
| 39.71% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 69 | | matches | | 0 | "The glass slipped from Rory's" | | 1 | "Silas caught it with a" | | 2 | "She didn't answer." | | 3 | "The woman at the door" | | 4 | "Her coat was cashmere, deep" | | 5 | "Hair pinned back, no strand" | | 6 | "Silas murmured, drying the glass" | | 7 | "The smile that followed didn't" | | 8 | "She navigated the scattered tables" | | 9 | "Claudia slid onto the stool" | | 10 | "Rory's voice came out steadier" | | 11 | "Claudia laughed, a polished sound." | | 12 | "She signaled Silas with a" | | 13 | "Silas's eyebrow lifted a fraction." | | 14 | "He poured without comment, setting" | | 15 | "The silence between them thickened." | | 16 | "Claudia sipped, studying the glass." | | 17 | "Rory watched her take another" | | 18 | "The rings on Claudia's fingers" | | 19 | "Rory didn't ask." |
| | ratio | 0.841 | |
| 72.46% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 69 | | matches | | 0 | "Before Rory could respond, Claudia's" |
| | ratio | 0.014 | |
| 60.44% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 3 | | matches | | 0 | "The woman at the door hadn't spotted her yet, scanning the dim room with the squint of someone who'd spent too many years under office lighting." | | 1 | "She navigated the scattered tables with the ease of someone who'd learned to command rooms, heels clicking a rhythm that felt like a countdown." | | 2 | "Somewhere, a man who'd once put his hands around her throat was still smiling, still charming, still telling everyone she was clumsy." |
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| 13.89% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 4 | | matches | | 0 | "Claudia smiled again, thin" | | 1 | "he said, his gaze lingering on Rory a beat too long" | | 2 | "She turned, the gesture uncharacteristically nervous" | | 3 | "Claudia said, her voice dropping" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 2 | | fancyTags | | 0 | "Silas murmured (murmur)" | | 1 | "Claudia observed (observe)" |
| | dialogueSentences | 61 | | tagDensity | 0.115 | | leniency | 0.23 | | rawRatio | 0.286 | | effectiveRatio | 0.066 | |