| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 46 | | tagDensity | 0.304 | | leniency | 0.609 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.27% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1146 | | 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) | |
| 30.19% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1146 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "wavering" | | 1 | "familiar" | | 2 | "eyebrow" | | 3 | "warmth" | | 4 | "echoing" | | 5 | "scanned" | | 6 | "silence" | | 7 | "stomach" | | 8 | "dance" | | 9 | "weight" | | 10 | "tracing" | | 11 | "shattered" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 71 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 71 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 103 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1134 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 55 | | wordCount | 674 | | uniqueNames | 11 | | maxNameDensity | 3.41 | | worstName | "Aurora" | | maxWindowNameDensity | 5 | | worstWindowName | "Aurora" | | discoveredNames | | Carter | 1 | | Silas | 4 | | Blackwood | 1 | | Soho | 1 | | Penrose | 1 | | Aurora | 23 | | Cardiff | 1 | | Eva | 20 | | Golden | 1 | | Empress | 1 | | Rory | 1 |
| | persons | | 0 | "Carter" | | 1 | "Silas" | | 2 | "Blackwood" | | 3 | "Penrose" | | 4 | "Aurora" | | 5 | "Eva" | | 6 | "Rory" |
| | places | | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 44 | | 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 | 1134 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 103 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 21.81 | | std | 13.55 | | cv | 0.622 | | sampleLengths | | 0 | 9 | | 1 | 46 | | 2 | 53 | | 3 | 29 | | 4 | 7 | | 5 | 38 | | 6 | 12 | | 7 | 7 | | 8 | 37 | | 9 | 38 | | 10 | 15 | | 11 | 4 | | 12 | 41 | | 13 | 44 | | 14 | 15 | | 15 | 27 | | 16 | 5 | | 17 | 44 | | 18 | 7 | | 19 | 49 | | 20 | 29 | | 21 | 12 | | 22 | 22 | | 23 | 24 | | 24 | 32 | | 25 | 22 | | 26 | 23 | | 27 | 22 | | 28 | 31 | | 29 | 2 | | 30 | 9 | | 31 | 28 | | 32 | 23 | | 33 | 28 | | 34 | 6 | | 35 | 13 | | 36 | 20 | | 37 | 36 | | 38 | 25 | | 39 | 4 | | 40 | 21 | | 41 | 14 | | 42 | 37 | | 43 | 15 | | 44 | 20 | | 45 | 11 | | 46 | 8 | | 47 | 18 | | 48 | 35 | | 49 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 71 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 125 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 103 | | ratio | 0.058 | | matches | | 0 | "Someone else had beaten her to it—a red-cheeked banker type with his hand still hovering in the peanut bowl, eyes darting." | | 1 | "Aurora fitted in like a knife in a cutlery drawer—useful, faintly menacing, never quite belonging." | | 2 | "The hair had changed—tied back, longer, darker than Aurora remembered, but the voice still carved through memory like a carving knife, each beat too familiar." | | 3 | "She looked up, slow—a gambler revealing a losing hand." | | 4 | "Eva’s lips parted, as if she wanted to say more—then closed." | | 5 | "Eva laughed, but it sounded wrong—like laughter in an empty church." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 685 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.02335766423357664 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.00583941605839416 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 103 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 103 | | mean | 11.01 | | std | 7.57 | | cv | 0.688 | | sampleLengths | | 0 | 9 | | 1 | 16 | | 2 | 21 | | 3 | 9 | | 4 | 19 | | 5 | 19 | | 6 | 15 | | 7 | 19 | | 8 | 5 | | 9 | 5 | | 10 | 7 | | 11 | 2 | | 12 | 25 | | 13 | 11 | | 14 | 3 | | 15 | 9 | | 16 | 7 | | 17 | 3 | | 18 | 24 | | 19 | 10 | | 20 | 10 | | 21 | 28 | | 22 | 3 | | 23 | 12 | | 24 | 4 | | 25 | 12 | | 26 | 24 | | 27 | 5 | | 28 | 2 | | 29 | 21 | | 30 | 21 | | 31 | 5 | | 32 | 10 | | 33 | 6 | | 34 | 21 | | 35 | 5 | | 36 | 40 | | 37 | 4 | | 38 | 7 | | 39 | 11 | | 40 | 16 | | 41 | 22 | | 42 | 3 | | 43 | 15 | | 44 | 11 | | 45 | 12 | | 46 | 16 | | 47 | 6 | | 48 | 11 | | 49 | 13 |
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| 64.08% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.4077669902912621 | | totalSentences | 103 | | uniqueOpeners | 42 | |
| 53.76% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 62 | | matches | | 0 | "Somewhere nearby, a bottle shattered," |
| | ratio | 0.016 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 9 | | totalSentences | 62 | | matches | | 0 | "She exhaled, but the moment" | | 1 | "She slid her glass against" | | 2 | "She looked up, slow—a gambler" | | 3 | "Her lips shaped a sly" | | 4 | "Her words stumbled over memories," | | 5 | "Her gaze snagged on the" | | 6 | "She met Eva’s gaze, let" | | 7 | "She picked a peanut from" | | 8 | "she said, words stretched thin" |
| | ratio | 0.145 | |
| 40.65% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 62 | | matches | | 0 | "Aurora Carter froze, pint glass" | | 1 | "Someone else had beaten her" | | 2 | "She exhaled, but the moment" | | 3 | "Aurora fitted in like a" | | 4 | "She slid her glass against" | | 5 | "The hair had changed—tied back," | | 6 | "Aurora’s heart stuttered." | | 7 | "She looked up, slow—a gambler" | | 8 | "Eva’s eyebrow twitched." | | 9 | "Her lips shaped a sly" | | 10 | "Aurora signalled for another pint," | | 11 | "Her words stumbled over memories," | | 12 | "Eva’s jaw tightened." | | 13 | "Eva scanned Aurora up and" | | 14 | "Her gaze snagged on the" | | 15 | "She met Eva’s gaze, let" | | 16 | "Eva hesitated, the barest catch." | | 17 | "A thin silence pooled between" | | 18 | "Eva tilted her head, searching" | | 19 | "Eva’s lips parted, as if" |
| | ratio | 0.839 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 4 | | matches | | 0 | "The words came, cold" | | 1 | "Aurora sipped, bitterness blooming at the back of her mouth" | | 2 | "Eva said, suddenly" | | 3 | "Eva asked, eyes searching for a challenge" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | 0 | "Aurora’s answer snapped (snap)" |
| | dialogueSentences | 46 | | tagDensity | 0.13 | | leniency | 0.261 | | rawRatio | 0.167 | | effectiveRatio | 0.043 | |