| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 31 | | tagDensity | 0.387 | | leniency | 0.774 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.05% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 840 | | totalAiIsmAdverbs | 1 | | found | | 0 | | adverb | "barely above a whisper" | | count | 1 |
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| | highlights | | 0 | "barely above a whisper" |
| |
| 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) | |
| 4.76% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 840 | | totalAiIsms | 16 | | found | | 0 | | | 1 | | | 2 | | word | "down her spine" | | count | 1 |
| | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | |
| | highlights | | 0 | "pounding" | | 1 | "eyebrow" | | 2 | "down her spine" | | 3 | "whisper" | | 4 | "racing" | | 5 | "encounter" | | 6 | "determined" | | 7 | "tension" | | 8 | "pang" | | 9 | "familiar" | | 10 | "sense of" | | 11 | "anticipation" |
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| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "couldn't help but" | | count | 1 |
| | 2 | | label | "sent a shiver through" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "couldn't help but wonder" | | 2 | "sent a shiver down" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 68 | | matches | | 0 | "felt a shiver" | | 1 | "a sense of anticipation" |
| |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 68 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 88 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 836 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 604 | | uniqueNames | 3 | | maxNameDensity | 2.32 | | worstName | "Lucien" | | maxWindowNameDensity | 4 | | worstWindowName | "Lucien" | | discoveredNames | | | persons | | 0 | "Rory" | | 1 | "Lucien" | | 2 | "Moreau" |
| | places | (empty) | | globalScore | 0.341 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | 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 | 836 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 88 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 24.59 | | std | 17.74 | | cv | 0.722 | | sampleLengths | | 0 | 83 | | 1 | 21 | | 2 | 31 | | 3 | 22 | | 4 | 34 | | 5 | 11 | | 6 | 30 | | 7 | 8 | | 8 | 17 | | 9 | 7 | | 10 | 27 | | 11 | 16 | | 12 | 31 | | 13 | 53 | | 14 | 11 | | 15 | 27 | | 16 | 57 | | 17 | 12 | | 18 | 17 | | 19 | 31 | | 20 | 9 | | 21 | 12 | | 22 | 8 | | 23 | 12 | | 24 | 19 | | 25 | 13 | | 26 | 53 | | 27 | 21 | | 28 | 6 | | 29 | 18 | | 30 | 9 | | 31 | 15 | | 32 | 36 | | 33 | 59 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 68 | | matches | | |
| 93.33% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 125 | | matches | | 0 | "was, standing" | | 1 | "was playing" |
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| 45.45% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 88 | | ratio | 0.034 | | matches | | 0 | "Through the peephole, she saw him—Lucien Moreau, leaning against the frame, his heterochromatic eyes hidden behind dark sunglasses." | | 1 | "He turned to face her, his gaze sweeping over her, taking in her casual attire—an old band t-shirt and faded jeans." | | 2 | "She knew one thing for sure—it was going to be an interesting ride." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 344 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 4 | | adverbRatio | 0.011627906976744186 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 88 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 88 | | mean | 9.5 | | std | 5.66 | | cv | 0.596 | | sampleLengths | | 0 | 16 | | 1 | 6 | | 2 | 8 | | 3 | 19 | | 4 | 18 | | 5 | 16 | | 6 | 12 | | 7 | 9 | | 8 | 13 | | 9 | 8 | | 10 | 10 | | 11 | 6 | | 12 | 11 | | 13 | 5 | | 14 | 21 | | 15 | 13 | | 16 | 4 | | 17 | 7 | | 18 | 11 | | 19 | 11 | | 20 | 8 | | 21 | 4 | | 22 | 4 | | 23 | 5 | | 24 | 12 | | 25 | 3 | | 26 | 4 | | 27 | 4 | | 28 | 23 | | 29 | 10 | | 30 | 6 | | 31 | 31 | | 32 | 9 | | 33 | 10 | | 34 | 1 | | 35 | 3 | | 36 | 17 | | 37 | 13 | | 38 | 11 | | 39 | 5 | | 40 | 22 | | 41 | 11 | | 42 | 5 | | 43 | 27 | | 44 | 14 | | 45 | 12 | | 46 | 6 | | 47 | 11 | | 48 | 7 | | 49 | 10 |
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| 45.83% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.32954545454545453 | | totalSentences | 88 | | uniqueOpeners | 29 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 4.62% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 65 | | matches | | 0 | "She glanced at her watch," | | 1 | "It was late, too late" | | 2 | "She set down her book," | | 3 | "She took a deep breath," | | 4 | "she acknowledged, her voice cool," | | 5 | "He pushed off from the" | | 6 | "he greeted, his voice a" | | 7 | "She stepped aside, allowing him" | | 8 | "she muttered, closing the door" | | 9 | "He turned to face her," | | 10 | "he commented, his voice laced" | | 11 | "he replied, his gaze holding" | | 12 | "She blinked, taken aback." | | 13 | "He nodded, his expression serious." | | 14 | "he said, his voice dropping" | | 15 | "She hadn't seen Lucien in" | | 16 | "Their last argument." | | 17 | "She had walked away from" | | 18 | "she asked, her voice steady" | | 19 | "She knew what he meant." |
| | ratio | 0.538 | |
| 44.62% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 65 | | matches | | 0 | "The doorbell chimed, a shrill," | | 1 | "She glanced at her watch," | | 2 | "It was late, too late" | | 3 | "She set down her book," | | 4 | "She took a deep breath," | | 5 | "she acknowledged, her voice cool," | | 6 | "He pushed off from the" | | 7 | "he greeted, his voice a" | | 8 | "She stepped aside, allowing him" | | 9 | "she muttered, closing the door" | | 10 | "He turned to face her," | | 11 | "he commented, his voice laced" | | 12 | "Rory raised an eyebrow." | | 13 | "Lucien chuckled, a sound that" | | 14 | "he replied, his gaze holding" | | 15 | "She blinked, taken aback." | | 16 | "He nodded, his expression serious." | | 17 | "Rory's eyes narrowed." | | 18 | "Lucien hesitated, then sighed." | | 19 | "Rory's curiosity was piqued, but" |
| | ratio | 0.831 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 2 | | matches | | 0 | "The doorbell chimed, a shrill, unexpected sound that sliced through the quiet hum of Rory's flat." | | 1 | "Lucien chuckled, a sound that sent a shiver down her spine." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 6 | | matches | | 0 | "he greeted, his voice a low rumble" | | 1 | "he said, his voice dropping to a conspiratorial whisper," | | 2 | "she asked, her voice steady" | | 3 | "she asked, her voice barely above a whisper" | | 4 | "she asked, her voice steady" | | 5 | "she stated, her voice firm" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 5 | | fancyTags | | 0 | "she acknowledged (acknowledge)" | | 1 | "she muttered (mutter)" | | 2 | "he commented (comment)" | | 3 | "she warned (warn)" | | 4 | "she stated (state)" |
| | dialogueSentences | 31 | | tagDensity | 0.323 | | leniency | 0.645 | | rawRatio | 0.5 | | effectiveRatio | 0.323 | |