| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 36 | | tagDensity | 0.361 | | leniency | 0.722 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 73.93% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 959 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "very" | | 1 | "slightly" | | 2 | "lightly" | | 3 | "gently" |
| |
| 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) | |
| 32.22% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 959 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "comfortable" | | 1 | "silence" | | 2 | "traced" | | 3 | "familiar" | | 4 | "racing" | | 5 | "stomach" | | 6 | "flickered" | | 7 | "whisper" | | 8 | "warmth" | | 9 | "sense of" | | 10 | "unwavering" |
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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 | 2 |
| | 1 | | label | "time stood still" | | count | 1 |
|
| | highlights | | 0 | "eyes widened" | | 1 | "eyes narrowed" | | 2 | "Time seemed to slow" |
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| 96.75% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 59 | | matches | | 0 | "d with anger" | | 1 | "d with rage" |
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| 70.22% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 59 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 81 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 957 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 28.05% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 656 | | uniqueNames | 7 | | maxNameDensity | 2.44 | | worstName | "Rory" | | maxWindowNameDensity | 4 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Friday | 1 | | Silas | 6 | | Rory | 16 | | Cardiff | 1 | | Evan | 10 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Rory" | | 4 | "Evan" |
| | places | | | globalScore | 0.28 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | 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 | 957 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 81 | | matches | | |
| 99.05% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 25.86 | | std | 12.85 | | cv | 0.497 | | sampleLengths | | 0 | 45 | | 1 | 13 | | 2 | 40 | | 3 | 24 | | 4 | 35 | | 5 | 21 | | 6 | 15 | | 7 | 31 | | 8 | 1 | | 9 | 38 | | 10 | 16 | | 11 | 17 | | 12 | 36 | | 13 | 26 | | 14 | 16 | | 15 | 32 | | 16 | 13 | | 17 | 26 | | 18 | 21 | | 19 | 18 | | 20 | 23 | | 21 | 31 | | 22 | 21 | | 23 | 22 | | 24 | 11 | | 25 | 29 | | 26 | 18 | | 27 | 39 | | 28 | 24 | | 29 | 10 | | 30 | 7 | | 31 | 44 | | 32 | 37 | | 33 | 16 | | 34 | 52 | | 35 | 62 | | 36 | 27 |
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| 99.32% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 59 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 127 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 81 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 682 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.03372434017595308 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.017595307917888565 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 81 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 81 | | mean | 11.81 | | std | 6.7 | | cv | 0.567 | | sampleLengths | | 0 | 11 | | 1 | 15 | | 2 | 19 | | 3 | 13 | | 4 | 10 | | 5 | 24 | | 6 | 6 | | 7 | 8 | | 8 | 16 | | 9 | 21 | | 10 | 14 | | 11 | 4 | | 12 | 10 | | 13 | 7 | | 14 | 9 | | 15 | 6 | | 16 | 12 | | 17 | 7 | | 18 | 12 | | 19 | 1 | | 20 | 10 | | 21 | 14 | | 22 | 14 | | 23 | 8 | | 24 | 8 | | 25 | 12 | | 26 | 5 | | 27 | 18 | | 28 | 18 | | 29 | 3 | | 30 | 18 | | 31 | 5 | | 32 | 14 | | 33 | 2 | | 34 | 11 | | 35 | 8 | | 36 | 13 | | 37 | 7 | | 38 | 6 | | 39 | 14 | | 40 | 12 | | 41 | 10 | | 42 | 11 | | 43 | 3 | | 44 | 15 | | 45 | 10 | | 46 | 13 | | 47 | 16 | | 48 | 15 | | 49 | 5 |
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| 55.97% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.35802469135802467 | | totalSentences | 81 | | uniqueOpeners | 29 | |
| 59.52% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 56 | | matches | | 0 | "Instead, her breath caught in" |
| | ratio | 0.018 | |
| 70.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 56 | | matches | | 0 | "she asked, breaking the comfortable" | | 1 | "He set down the glass" | | 2 | "She traced the rim of" | | 3 | "His eyes widened, and for" | | 4 | "he said, his voice low" | | 5 | "she replied, her voice steady" | | 6 | "He leaned against the bar," | | 7 | "She hadn't spoken to her" | | 8 | "His gaze flickered to Silas," | | 9 | "She turned back to Evan," | | 10 | "She took a fortifying sip" | | 11 | "she said, her voice low" | | 12 | "She stood abruptly, her chair" | | 13 | "He opened his mouth as" | | 14 | "She became aware of" | | 15 | "he asked, his voice low" | | 16 | "She picked up her drink" | | 17 | "She thought of the girl" | | 18 | "She thought of the woman" | | 19 | "It wasn't an easy journey," |
| | ratio | 0.375 | |
| 40.36% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 56 | | matches | | 0 | "The Raven's Nest was quieter" | | 1 | "Rory leaned against the polished" | | 2 | "The green neon sign cast" | | 3 | "she asked, breaking the comfortable" | | 4 | "Silas glanced up, his hazel" | | 5 | "He set down the glass" | | 6 | "Rory shrugged, taking a sip" | | 7 | "She traced the rim of" | | 8 | "Silas nodded, his gaze drifting" | | 9 | "Rory followed his line of" | | 10 | "Time seemed to slow as" | | 11 | "His eyes widened, and for" | | 12 | "he said, his voice low" | | 13 | "she replied, her voice steady" | | 14 | "He leaned against the bar," | | 15 | "Rory's stomach twisted." | | 16 | "She hadn't spoken to her" | | 17 | "His gaze flickered to Silas," | | 18 | "Rory glanced at Silas, who" | | 19 | "She turned back to Evan," |
| | ratio | 0.839 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 56 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 8 | | matches | | 0 | "Silas nodded, his gaze drifting to the door" | | 1 | "he said, his voice low and dangerous" | | 2 | "she replied, her voice steady despite the racing of her heart" | | 3 | "He leaned, his eyes roving over her face" | | 4 | "she said, her voice low" | | 5 | "Evan leaned, his breath hot against her ear" | | 6 | "She became, his hand resting lightly on her shoulder" | | 7 | "he asked, his voice low and concerned" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | 0 | "Rory corrected (correct)" |
| | dialogueSentences | 36 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 0.167 | | effectiveRatio | 0.056 | |