| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 2 | | adverbTags | | 0 | "She laughed again [again]" | | 1 | "Eva said quietly [quietly]" |
| | dialogueSentences | 71 | | tagDensity | 0.338 | | leniency | 0.676 | | rawRatio | 0.083 | | effectiveRatio | 0.056 | |
| 82.28% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1411 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "perfectly" | | 1 | "really" | | 2 | "very" | | 3 | "slightly" |
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| 80.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 57.48% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1411 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "familiar" | | 1 | "silence" | | 2 | "scanning" | | 3 | "flawless" | | 4 | "intensity" | | 5 | "flickered" | | 6 | "determined" | | 7 | "perfect" | | 8 | "traced" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 86 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 86 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 131 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1398 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 22 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 72 | | wordCount | 884 | | uniqueNames | 17 | | maxNameDensity | 3.39 | | worstName | "Eva" | | maxWindowNameDensity | 6.5 | | worstWindowName | "Eva" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Rory | 21 | | Tuesday | 1 | | Silas | 7 | | Jameson | 1 | | October | 1 | | Eva | 30 | | Prague | 1 | | Berlin | 1 | | Istanbul | 1 | | Soho | 1 | | One | 1 | | Whitmore | 1 | | Digital | 1 | | Strategy | 1 | | Director | 1 |
| | persons | | 0 | "Raven" | | 1 | "Rory" | | 2 | "Silas" | | 3 | "Jameson" | | 4 | "Eva" | | 5 | "Whitmore" |
| | places | | 0 | "October" | | 1 | "Prague" | | 2 | "Berlin" | | 3 | "Istanbul" | | 4 | "Soho" |
| | globalScore | 0 | | windowScore | 0 | |
| 69.35% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 2 | | matches | | 0 | "quite reach her eyes" | | 1 | "smelled like perfume she didn't recognize" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.715 | | wordCount | 1398 | | matches | | 0 | "not pity, but understanding" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 131 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 64 | | mean | 21.84 | | std | 16.82 | | cv | 0.77 | | sampleLengths | | 0 | 74 | | 1 | 41 | | 2 | 27 | | 3 | 7 | | 4 | 26 | | 5 | 1 | | 6 | 15 | | 7 | 76 | | 8 | 23 | | 9 | 40 | | 10 | 8 | | 11 | 14 | | 12 | 20 | | 13 | 13 | | 14 | 8 | | 15 | 9 | | 16 | 23 | | 17 | 48 | | 18 | 11 | | 19 | 26 | | 20 | 2 | | 21 | 48 | | 22 | 33 | | 23 | 19 | | 24 | 31 | | 25 | 10 | | 26 | 4 | | 27 | 24 | | 28 | 7 | | 29 | 20 | | 30 | 6 | | 31 | 24 | | 32 | 15 | | 33 | 15 | | 34 | 19 | | 35 | 1 | | 36 | 36 | | 37 | 8 | | 38 | 25 | | 39 | 2 | | 40 | 1 | | 41 | 3 | | 42 | 44 | | 43 | 4 | | 44 | 22 | | 45 | 25 | | 46 | 51 | | 47 | 27 | | 48 | 14 | | 49 | 9 |
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| 97.10% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 86 | | matches | | 0 | "was gone" | | 1 | "being asked" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 169 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 131 | | ratio | 0.053 | | matches | | 0 | "The Tuesday evening crowd was thin—a couple of regulars hunched at the bar, a businessman nursing whisky in the corner booth." | | 1 | "Rory didn't turn—just another patron seeking shelter from the October rain." | | 2 | "Her eyes—still that distinctive amber-brown—went wide." | | 3 | "But it was her expression that struck Rory most—that careful, practiced smile that didn't quite reach her eyes." | | 4 | "The maps on the walls—Prague, Berlin, Istanbul—seemed to watch them from the shadows." | | 5 | "Rory caught his eye and saw something there—not pity, but understanding." | | 6 | "For a moment, she hesitated, and Rory saw something crack in her polished exterior—a glimpse of the girl who'd called her at midnight years ago, laughing about something stupid, making plans for a future that had never materialized." |
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| 92.41% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 719 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 35 | | adverbRatio | 0.048678720445062586 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.005563282336578581 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 131 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 131 | | mean | 10.67 | | std | 7.87 | | cv | 0.738 | | sampleLengths | | 0 | 28 | | 1 | 21 | | 2 | 25 | | 3 | 9 | | 4 | 13 | | 5 | 19 | | 6 | 5 | | 7 | 11 | | 8 | 11 | | 9 | 7 | | 10 | 6 | | 11 | 4 | | 12 | 16 | | 13 | 1 | | 14 | 8 | | 15 | 6 | | 16 | 1 | | 17 | 5 | | 18 | 3 | | 19 | 22 | | 20 | 28 | | 21 | 18 | | 22 | 17 | | 23 | 6 | | 24 | 7 | | 25 | 10 | | 26 | 23 | | 27 | 5 | | 28 | 3 | | 29 | 14 | | 30 | 5 | | 31 | 10 | | 32 | 5 | | 33 | 9 | | 34 | 4 | | 35 | 8 | | 36 | 9 | | 37 | 23 | | 38 | 22 | | 39 | 26 | | 40 | 7 | | 41 | 4 | | 42 | 6 | | 43 | 20 | | 44 | 2 | | 45 | 10 | | 46 | 5 | | 47 | 23 | | 48 | 10 | | 49 | 30 |
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| 63.61% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.40458015267175573 | | totalSentences | 131 | | uniqueOpeners | 53 | |
| 84.39% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 79 | | matches | | 0 | "Then she smiled, and this" | | 1 | "Then she was gone, back" |
| | ratio | 0.025 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 79 | | matches | | 0 | "She'd come down from her" | | 1 | "She slid onto a stool" | | 2 | "He was polishing glasses at" | | 3 | "He gave her a slight" | | 4 | "Her fingers tightened on the" | | 5 | "She knew that voice." | | 6 | "Her eyes—still that distinctive amber-brown-went" | | 7 | "Her hair, once a wild" | | 8 | "She wore a tailored coat" | | 9 | "They pulled apart, and Eva's" | | 10 | "She laughed, but it sounded" | | 11 | "She took a delicate sip." | | 12 | "She laughed again, that same" | | 13 | "She trailed off, seeming to" | | 14 | "Her voice had taken on" | | 15 | "She lowered it again." | | 16 | "Her name in raised lettering:" | | 17 | "She touched Rory's shoulder once" | | 18 | "he said, his voice carrying" |
| | ratio | 0.241 | |
| 16.96% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 70 | | totalSentences | 79 | | matches | | 0 | "The green neon sign above" | | 1 | "The Tuesday evening crowd was" | | 2 | "She'd come down from her" | | 3 | "She slid onto a stool" | | 4 | "He was polishing glasses at" | | 5 | "He gave her a slight" | | 6 | "The door opened behind her." | | 7 | "Rory didn't turn—just another patron" | | 8 | "Her fingers tightened on the" | | 9 | "She knew that voice." | | 10 | "Lighter than she remembered, carrying" | | 11 | "The woman who'd been scanning" | | 12 | "Her eyes—still that distinctive amber-brown-went" | | 13 | "Eva looked different." | | 14 | "Her hair, once a wild" | | 15 | "She wore a tailored coat" | | 16 | "Eva crossed the floor in" | | 17 | "Rory stood, accepting the embrace" | | 18 | "Eva smelled like perfume she" | | 19 | "They pulled apart, and Eva's" |
| | ratio | 0.886 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 79 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 6 | | matches | | 0 | "Lighter than she remembered, carrying an affected brightness that hadn't been there before, but unmistakably familiar." | | 1 | "She wore a tailored coat that probably cost more than Rory made in a month, and her makeup was flawless in a way that spoke of professional application." | | 2 | "But it was her expression that struck Rory most—that careful, practiced smile that didn't quite reach her eyes." | | 3 | "They pulled apart, and Eva's hands lingered on Rory's shoulders, her gaze traveling over Rory's face with an intensity that felt almost clinical." | | 4 | "The look of someone who'd seen plenty of friendships founder on the rocks of time and disappointment." | | 5 | "For a moment, she hesitated, and Rory saw something crack in her polished exterior—a glimpse of the girl who'd called her at midnight years ago, laughing about …" |
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| 83.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 2 | | matches | | 0 | "Eva crossed, her heels clicking against the worn wood" | | 1 | "She trailed, seeming to lose her momentum" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 3 | | fancyTags | | 0 | "She laughed (laugh)" | | 1 | "Eva agreed (agree)" | | 2 | "She laughed again (laugh)" |
| | dialogueSentences | 71 | | tagDensity | 0.155 | | leniency | 0.31 | | rawRatio | 0.273 | | effectiveRatio | 0.085 | |