| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 26 | | adverbTagCount | 1 | | adverbTags | | 0 | "She turned back [back]" |
| | dialogueSentences | 57 | | tagDensity | 0.456 | | leniency | 0.912 | | rawRatio | 0.038 | | effectiveRatio | 0.035 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1112 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 41.55% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1112 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "etched" | | 1 | "flicked" | | 2 | "traced" | | 3 | "silk" | | 4 | "glinting" | | 5 | "pulse" | | 6 | "throbbed" | | 7 | "silence" | | 8 | "echoing" | | 9 | "gleaming" | | 10 | "rhythmic" | | 11 | "footsteps" |
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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 | 107 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 107 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 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 | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 8 | | totalWords | 1102 | | ratio | 0.007 | | matches | | 0 | "Prague drop. Midnight. Come alone. Or Eva pays." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 60 | | wordCount | 690 | | uniqueNames | 10 | | maxNameDensity | 3.19 | | worstName | "Rory" | | maxWindowNameDensity | 5 | | worstWindowName | "Rory" | | discoveredNames | | Golden | 1 | | Empress | 1 | | Cardiff | 2 | | Rory | 22 | | Eva | 20 | | Silas | 10 | | Evan | 1 | | Mercedes | 1 | | Scar | 1 | | Heels | 1 |
| | persons | | 0 | "Rory" | | 1 | "Eva" | | 2 | "Silas" | | 3 | "Evan" | | 4 | "Scar" | | 5 | "Heels" |
| | places | | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | 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 | 1102 | | matches | (empty) | |
| 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 | 70 | | mean | 15.74 | | std | 10.02 | | cv | 0.637 | | sampleLengths | | 0 | 33 | | 1 | 25 | | 2 | 4 | | 3 | 32 | | 4 | 28 | | 5 | 31 | | 6 | 12 | | 7 | 15 | | 8 | 22 | | 9 | 16 | | 10 | 24 | | 11 | 7 | | 12 | 35 | | 13 | 28 | | 14 | 9 | | 15 | 35 | | 16 | 4 | | 17 | 34 | | 18 | 9 | | 19 | 25 | | 20 | 20 | | 21 | 24 | | 22 | 15 | | 23 | 8 | | 24 | 13 | | 25 | 7 | | 26 | 30 | | 27 | 7 | | 28 | 30 | | 29 | 17 | | 30 | 16 | | 31 | 11 | | 32 | 30 | | 33 | 22 | | 34 | 18 | | 35 | 9 | | 36 | 36 | | 37 | 16 | | 38 | 7 | | 39 | 23 | | 40 | 11 | | 41 | 4 | | 42 | 2 | | 43 | 27 | | 44 | 5 | | 45 | 10 | | 46 | 8 | | 47 | 26 | | 48 | 3 | | 49 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 107 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 141 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 138 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 697 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 13 | | adverbRatio | 0.018651362984218076 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 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 | 7.99 | | std | 5.18 | | cv | 0.648 | | sampleLengths | | 0 | 13 | | 1 | 20 | | 2 | 9 | | 3 | 8 | | 4 | 8 | | 5 | 4 | | 6 | 1 | | 7 | 13 | | 8 | 3 | | 9 | 15 | | 10 | 13 | | 11 | 8 | | 12 | 7 | | 13 | 18 | | 14 | 10 | | 15 | 3 | | 16 | 10 | | 17 | 2 | | 18 | 4 | | 19 | 11 | | 20 | 17 | | 21 | 5 | | 22 | 5 | | 23 | 7 | | 24 | 4 | | 25 | 18 | | 26 | 6 | | 27 | 3 | | 28 | 4 | | 29 | 11 | | 30 | 24 | | 31 | 14 | | 32 | 14 | | 33 | 3 | | 34 | 6 | | 35 | 16 | | 36 | 19 | | 37 | 4 | | 38 | 17 | | 39 | 7 | | 40 | 10 | | 41 | 4 | | 42 | 5 | | 43 | 17 | | 44 | 8 | | 45 | 5 | | 46 | 9 | | 47 | 4 | | 48 | 2 | | 49 | 9 |
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| 89.37% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.5362318840579711 | | totalSentences | 138 | | uniqueOpeners | 74 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 97 | | matches | (empty) | | ratio | 0 | |
| 88.04% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 97 | | matches | | 0 | "She smoothed her shirt, the" | | 1 | "He poured a gin without" | | 2 | "His hazel eyes flicked between" | | 3 | "She traced the rim of" | | 4 | "She eyed Rory's wrist, the" | | 5 | "She nodded at Eva's hand," | | 6 | "She leaned in, perfume sharp," | | 7 | "She tapped the bar once," | | 8 | "Her delivery bag slumped at" | | 9 | "She signalled Silas with two" | | 10 | "He poured amber into her" | | 11 | "She met Eva's gaze, blue" | | 12 | "She sipped deep, throat working" | | 13 | "Her voice dropped level" | | 14 | "She leaned closer, voice a" | | 15 | "She jabbed a finger at" | | 16 | "He braced hands wide on" | | 17 | "She slid her stool closer," | | 18 | "Her fingers grazed Rory's scar," | | 19 | "She glanced at the bar" |
| | ratio | 0.33 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 91 | | totalSentences | 97 | | matches | | 0 | "Rory shoved the bookshelf aside," | | 1 | "She smoothed her shirt, the" | | 2 | "A woman perched on the" | | 3 | "Designer coat draped over knees" | | 4 | "The voice hit first, polished" | | 5 | "Rory froze mid-stride." | | 6 | "Rory slid onto the stool" | | 7 | "The bar's scarred oak bit" | | 8 | "Silas limped over from the" | | 9 | "He poured a gin without" | | 10 | "Ice clinked protest." | | 11 | "His hazel eyes flicked between" | | 12 | "Eva's laugh scraped dry." | | 13 | "She traced the rim of" | | 14 | "She eyed Rory's wrist, the" | | 15 | "Rory tugged her sleeve down." | | 16 | "The gin burned neat down" | | 17 | "Copper-edged, like old blood." | | 18 | "She nodded at Eva's hand," | | 19 | "Eva's fingers curled." |
| | ratio | 0.938 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 97 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 12 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 48.08% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 26 | | uselessAdditionCount | 4 | | matches | | 0 | "His hazel eyes flicked, beard twitching" | | 1 | "She eyed, the crescent scar peeking from her cuff" | | 2 | "She nodded, shadows pooling in frames" | | 3 | "She turned back, voice dropping" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 57 | | tagDensity | 0.018 | | leniency | 0.035 | | rawRatio | 1 | | effectiveRatio | 0.035 | |