| 30.51% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 26 | | adverbTagCount | 5 | | adverbTags | | 0 | "Evan’s eyes drifted finally [finally]" | | 1 | "He turned back [back]" | | 2 | "Silas said mildly [mildly]" | | 3 | "he said softly [softly]" | | 4 | "Rory turned fully [fully]" |
| | dialogueSentences | 59 | | tagDensity | 0.441 | | leniency | 0.881 | | rawRatio | 0.192 | | effectiveRatio | 0.169 | |
| 71.06% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1382 | | totalAiIsmAdverbs | 8 | | found | | | highlights | | 0 | "carefully" | | 1 | "softly" | | 2 | "slightly" | | 3 | "perfectly" | | 4 | "slowly" | | 5 | "very" | | 6 | "truly" |
| |
| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1382 | | totalAiIsms | 29 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | |
| | highlights | | 0 | "traced" | | 1 | "comforting" | | 2 | "familiar" | | 3 | "imposing" | | 4 | "etched" | | 5 | "scanned" | | 6 | "flicker" | | 7 | "constructed" | | 8 | "charm" | | 9 | "sentinel" | | 10 | "efficient" | | 11 | "throbbed" | | 12 | "weight" | | 13 | "could feel" | | 14 | "facade" | | 15 | "pawn" | | 16 | "echoed" | | 17 | "silence" | | 18 | "affection" | | 19 | "calculating" | | 20 | "eyebrow" | | 21 | "unreadable" | | 22 | "whisper" | | 23 | "reminder" | | 24 | "chilling" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
| | 1 | | label | "wave of emotion" | | count | 1 |
|
| | highlights | | 0 | "clenched her fist" | | 1 | "a wave of nausea" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 106 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 106 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 138 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1382 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 50 | | wordCount | 968 | | uniqueNames | 11 | | maxNameDensity | 1.76 | | worstName | "Silas" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Silas" | | discoveredNames | | Formica | 1 | | Rory | 14 | | Tuesday | 1 | | Raven | 1 | | Nest | 1 | | Silas | 17 | | London | 2 | | Aurora | 1 | | Laila | 1 | | Evan | 10 | | Recognition | 1 |
| | persons | | 0 | "Rory" | | 1 | "Silas" | | 2 | "Aurora" | | 3 | "Laila" | | 4 | "Evan" | | 5 | "Recognition" |
| | places | | | globalScore | 0.622 | | windowScore | 0.5 | |
| 87.50% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 80 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like a man who hadn’t slept in wee" | | 1 | "But he visibly forced himself to c" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.724 | | wordCount | 1382 | | matches | | 0 | "Not enough to erase the years of fear, but enough" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 138 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 56 | | mean | 24.68 | | std | 16.91 | | cv | 0.685 | | sampleLengths | | 0 | 84 | | 1 | 40 | | 2 | 1 | | 3 | 85 | | 4 | 35 | | 5 | 52 | | 6 | 12 | | 7 | 19 | | 8 | 31 | | 9 | 31 | | 10 | 18 | | 11 | 14 | | 12 | 20 | | 13 | 14 | | 14 | 34 | | 15 | 16 | | 16 | 18 | | 17 | 34 | | 18 | 23 | | 19 | 16 | | 20 | 16 | | 21 | 7 | | 22 | 4 | | 23 | 21 | | 24 | 10 | | 25 | 16 | | 26 | 34 | | 27 | 20 | | 28 | 28 | | 29 | 7 | | 30 | 30 | | 31 | 24 | | 32 | 28 | | 33 | 21 | | 34 | 9 | | 35 | 11 | | 36 | 40 | | 37 | 20 | | 38 | 37 | | 39 | 27 | | 40 | 15 | | 41 | 48 | | 42 | 27 | | 43 | 14 | | 44 | 44 | | 45 | 28 | | 46 | 22 | | 47 | 5 | | 48 | 23 | | 49 | 10 |
| |
| 98.64% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 106 | | matches | | 0 | "being molded" | | 1 | "was gone" |
| |
| 89.50% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 181 | | matches | | 0 | "were shaking" | | 1 | "was letting" | | 2 | "was polishing" |
| |
| 80.75% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 138 | | ratio | 0.022 | | matches | | 0 | "He hadn’t changed in the broad strokes – still that same imposing build, the dark hair she used to run her fingers through, the curve of his jaw." | | 1 | "A flicker of something – respect, perhaps?" | | 2 | "– crossed his features." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 967 | | adjectiveStacks | 1 | | stackExamples | | 0 | "careless, bright-eyed Laila" |
| | adverbCount | 37 | | adverbRatio | 0.038262668045501554 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.016546018614270942 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 138 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 138 | | mean | 10.01 | | std | 5.91 | | cv | 0.591 | | sampleLengths | | 0 | 11 | | 1 | 17 | | 2 | 8 | | 3 | 18 | | 4 | 20 | | 5 | 10 | | 6 | 14 | | 7 | 6 | | 8 | 13 | | 9 | 7 | | 10 | 1 | | 11 | 28 | | 12 | 5 | | 13 | 8 | | 14 | 4 | | 15 | 16 | | 16 | 14 | | 17 | 10 | | 18 | 16 | | 19 | 7 | | 20 | 4 | | 21 | 8 | | 22 | 7 | | 23 | 9 | | 24 | 5 | | 25 | 25 | | 26 | 6 | | 27 | 12 | | 28 | 6 | | 29 | 5 | | 30 | 8 | | 31 | 7 | | 32 | 24 | | 33 | 6 | | 34 | 16 | | 35 | 9 | | 36 | 18 | | 37 | 14 | | 38 | 5 | | 39 | 15 | | 40 | 8 | | 41 | 5 | | 42 | 1 | | 43 | 7 | | 44 | 10 | | 45 | 6 | | 46 | 1 | | 47 | 10 | | 48 | 13 | | 49 | 3 |
| |
| 55.31% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.36231884057971014 | | totalSentences | 138 | | uniqueOpeners | 50 | |
| 66.01% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 101 | | matches | | 0 | "Then he was gone, swallowed" | | 1 | "Perhaps it was just exhaustion." |
| | ratio | 0.02 | |
| 21.98% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 50 | | totalSentences | 101 | | matches | | 0 | "She traced the seam with" | | 1 | "It was a comforting smell," | | 2 | "He hadn’t changed in the" | | 3 | "His face was gaunt, shadowed," | | 4 | "He wore a tailored suit," | | 5 | "He looked like a man" | | 6 | "He scanned the room, his" | | 7 | "He moved towards the bar," | | 8 | "She hadn't realized how much" | | 9 | "It had been four years." | | 10 | "He didn’t offer a hand." | | 11 | "He didn’t sit at the" | | 12 | "She knew he wouldn’t acknowledge" | | 13 | "Her name tasted alien on" | | 14 | "She forced herself to look" | | 15 | "she corrected, her voice steady" | | 16 | "His jaw tightened." | | 17 | "He turned back to Silas" | | 18 | "He slid a glass of" | | 19 | "He just kept looking at" |
| | ratio | 0.495 | |
| 14.46% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 90 | | totalSentences | 101 | | matches | | 0 | "The chipped Formica of the" | | 1 | "She traced the seam with" | | 2 | "A quiet Tuesday night at" | | 3 | "Silas, leaning against the far" | | 4 | "The air smelled of stale" | | 5 | "It was a comforting smell," | | 6 | "A figure paused in the" | | 7 | "The way he hesitated, as" | | 8 | "Rory glanced up, and her" | | 9 | "He hadn’t changed in the" | | 10 | "The easy smile, the light" | | 11 | "His face was gaunt, shadowed," | | 12 | "He wore a tailored suit," | | 13 | "He looked like a man" | | 14 | "He scanned the room, his" | | 15 | "A flicker of something –" | | 16 | "He moved towards the bar," | | 17 | "Rory lowered her eyes to" | | 18 | "She hadn't realized how much" | | 19 | "It had been four years." |
| | ratio | 0.891 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 101 | | matches | (empty) | | ratio | 0 | |
| 79.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 3 | | matches | | 0 | "Silas, leaning against the far end of the bar, polished glasses with a meticulousness that bordered on obsessive." | | 1 | "He just kept looking at Rory, his gaze dissecting, measuring." | | 2 | "He reached out, his hand hovering near her arm, then dropped it before making contact." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 26 | | uselessAdditionCount | 8 | | matches | | 0 | "Evan said, his voice a low rumble, rougher than she remembered" | | 1 | "Silas replied, his tone neutral" | | 2 | "she corrected, her voice steady despite the frantic beat of her heart" | | 3 | "He took, his voice low and urgent" | | 4 | "He met, his eyes calculating" | | 5 | "she said, her voice cold" | | 6 | "She gestured, the lines etched on his face" | | 7 | "he said, his voice barely a whisper" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 1 | | fancyTags | | 0 | "she corrected (correct)" |
| | dialogueSentences | 59 | | tagDensity | 0.169 | | leniency | 0.339 | | rawRatio | 0.1 | | effectiveRatio | 0.034 | |