| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 1 | | adverbTags | | 0 | "She pulled away [away]" |
| | dialogueSentences | 65 | | tagDensity | 0.308 | | leniency | 0.615 | | rawRatio | 0.05 | | effectiveRatio | 0.031 | |
| 94.02% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1673 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 28.27% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1673 | | totalAiIsms | 24 | | found | | | highlights | | 0 | "clandestine" | | 1 | "footsteps" | | 2 | "familiar" | | 3 | "scanning" | | 4 | "traced" | | 5 | "silence" | | 6 | "flicked" | | 7 | "flickered" | | 8 | "weight" | | 9 | "unspoken" | | 10 | "implication" | | 11 | "unwavering" | | 12 | "loomed" | | 13 | "trembled" | | 14 | "measured" | | 15 | "beacon" |
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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 | 172 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 172 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 217 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1664 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 1306 | | uniqueNames | 6 | | maxNameDensity | 0.46 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Remembered" | | discoveredNames | | Raven | 2 | | Nest | 2 | | London | 1 | | Steel | 1 | | Aurora | 6 | | Remembered | 3 |
| | persons | | 0 | "Raven" | | 1 | "Steel" | | 2 | "Aurora" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 100 | | glossingSentenceCount | 2 | | matches | | 0 | "as though searching her face" | | 1 | "as if measuring whether to fold it closed or peel back its layers" |
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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 | 1664 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 217 | | matches | | 0 | "let that go" | | 1 | "held that steadiness" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 67 | | mean | 24.84 | | std | 17.25 | | cv | 0.695 | | sampleLengths | | 0 | 72 | | 1 | 71 | | 2 | 68 | | 3 | 3 | | 4 | 51 | | 5 | 41 | | 6 | 16 | | 7 | 12 | | 8 | 37 | | 9 | 17 | | 10 | 39 | | 11 | 15 | | 12 | 10 | | 13 | 10 | | 14 | 39 | | 15 | 32 | | 16 | 25 | | 17 | 39 | | 18 | 14 | | 19 | 8 | | 20 | 12 | | 21 | 25 | | 22 | 9 | | 23 | 24 | | 24 | 12 | | 25 | 6 | | 26 | 24 | | 27 | 7 | | 28 | 27 | | 29 | 9 | | 30 | 13 | | 31 | 33 | | 32 | 6 | | 33 | 39 | | 34 | 20 | | 35 | 5 | | 36 | 12 | | 37 | 47 | | 38 | 29 | | 39 | 52 | | 40 | 6 | | 41 | 24 | | 42 | 19 | | 43 | 14 | | 44 | 13 | | 45 | 12 | | 46 | 17 | | 47 | 11 | | 48 | 13 | | 49 | 19 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 172 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 254 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 217 | | ratio | 0.014 | | matches | | 0 | "The black hair, the blue eyes—still hers." | | 1 | "She felt it then—the weight of unspoken things filling the space between them." | | 2 | "He opened his mouth—then paused." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1314 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.02511415525114155 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0030441400304414 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 217 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 217 | | mean | 7.67 | | std | 5.1 | | cv | 0.665 | | sampleLengths | | 0 | 15 | | 1 | 15 | | 2 | 19 | | 3 | 13 | | 4 | 7 | | 5 | 3 | | 6 | 14 | | 7 | 9 | | 8 | 15 | | 9 | 21 | | 10 | 12 | | 11 | 11 | | 12 | 4 | | 13 | 14 | | 14 | 13 | | 15 | 15 | | 16 | 11 | | 17 | 2 | | 18 | 1 | | 19 | 2 | | 20 | 3 | | 21 | 9 | | 22 | 7 | | 23 | 11 | | 24 | 16 | | 25 | 3 | | 26 | 8 | | 27 | 9 | | 28 | 9 | | 29 | 2 | | 30 | 13 | | 31 | 7 | | 32 | 9 | | 33 | 4 | | 34 | 8 | | 35 | 8 | | 36 | 8 | | 37 | 5 | | 38 | 14 | | 39 | 2 | | 40 | 10 | | 41 | 7 | | 42 | 11 | | 43 | 15 | | 44 | 1 | | 45 | 1 | | 46 | 1 | | 47 | 10 | | 48 | 13 | | 49 | 2 |
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| 47.62% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.31336405529953915 | | totalSentences | 217 | | uniqueOpeners | 68 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 153 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 89 | | totalSentences | 153 | | matches | | 0 | "She paused under the sign," | | 1 | "She tugged her satchel strap," | | 2 | "She struck out for the" | | 3 | "He stood behind the bar," | | 4 | "He wore his signet ring" | | 5 | "His limp sounded as he" | | 6 | "He tilting his head, assessing" | | 7 | "His eyes traced her straight" | | 8 | "She pressed her lips together," | | 9 | "She cleared her throat" | | 10 | "He dipped his chin." | | 11 | "She offered a half-smile, sliding" | | 12 | "She glanced at his limp." | | 13 | "He leaned forward, fingers brushing" | | 14 | "She nodded, though her eyes" | | 15 | "She touched a lock as" | | 16 | "He offered a crooked grin." | | 17 | "He set a tumbler before" | | 18 | "It held nothing but ice" | | 19 | "His hand hovered over it" |
| | ratio | 0.582 | |
| 15.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 136 | | totalSentences | 153 | | matches | | 0 | "Aurora stepped inside The Raven’s" | | 1 | "She paused under the sign," | | 2 | "The bar’s walls were lined" | | 3 | "She tugged her satchel strap," | | 4 | "Here, she’d dropped off dozens" | | 5 | "Tonight, she lingered." | | 6 | "A cluster of patrons huddled" | | 7 | "Bar stools creaked in rhythm" | | 8 | "The scent of old whiskey" | | 9 | "She struck out for the" | | 10 | "A soft click of his" | | 11 | "He stood behind the bar," | | 12 | "Hazel eyes caught hers." | | 13 | "A neatly trimmed beard gave" | | 14 | "He wore his signet ring" | | 15 | "A sharp exhale." | | 16 | "His limp sounded as he" | | 17 | "He tilting his head, assessing" | | 18 | "His eyes traced her straight" | | 19 | "The small crescent scar on" |
| | ratio | 0.889 | |
| 32.68% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 153 | | matches | | 0 | "Now, standing here, he still" |
| | ratio | 0.007 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 1 | | matches | | 0 | "She struck out for the counter, scanning faces she half-recognised—regulars who nodded in greeting, and newcomers who kept their heads down." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 4 | | matches | | 0 | "He leaned, fingers brushing the bar" | | 1 | "he asked, voice soft enough not to draw attention" | | 2 | "he said, voice steady" | | 3 | "she said, voice flat" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 65 | | tagDensity | 0.092 | | leniency | 0.185 | | rawRatio | 0.167 | | effectiveRatio | 0.031 | |