| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 5 | | adverbTags | | 0 | "she said finally [finally]" | | 1 | "she said instead [instead]" | | 2 | "she said softly [softly]" | | 3 | "she said softly [softly]" | | 4 | "he said again [again]" |
| | dialogueSentences | 37 | | tagDensity | 0.351 | | leniency | 0.703 | | rawRatio | 0.385 | | effectiveRatio | 0.27 | |
| 72.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1250 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "slightly" | | 1 | "slowly" | | 2 | "softly" | | 3 | "really" |
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| 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) | |
| 28.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1250 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "pulsed" | | 1 | "tracing" | | 2 | "scanning" | | 3 | "intensity" | | 4 | "silence" | | 5 | "unspoken" | | 6 | "race" | | 7 | "implication" | | 8 | "stomach" | | 9 | "racing" | | 10 | "unreadable" | | 11 | "weight" | | 12 | "familiar" | | 13 | "pounding" |
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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 | 1 | | narrationSentences | 99 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 99 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 125 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1247 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 996 | | uniqueNames | 11 | | maxNameDensity | 1.61 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Carter | 1 | | Rory | 16 | | Blackwood | 1 | | Silas | 16 | | Yu-Fei | 1 | | Cheung | 1 | | Golden | 1 | | Empress | 1 | | Evan | 2 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Carter" | | 3 | "Rory" | | 4 | "Blackwood" | | 5 | "Silas" | | 6 | "Yu-Fei" | | 7 | "Cheung" | | 8 | "Empress" | | 9 | "Evan" |
| | places | (empty) | | globalScore | 0.697 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1247 | | matches | (empty) | |
| 86.67% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 3 | | totalSentences | 125 | | matches | | 0 | "on, that she" | | 1 | "realized that she" | | 2 | "realized that she" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 22.67 | | std | 19.88 | | cv | 0.877 | | sampleLengths | | 0 | 117 | | 1 | 4 | | 2 | 68 | | 3 | 37 | | 4 | 10 | | 5 | 17 | | 6 | 5 | | 7 | 59 | | 8 | 6 | | 9 | 8 | | 10 | 11 | | 11 | 28 | | 12 | 18 | | 13 | 2 | | 14 | 56 | | 15 | 24 | | 16 | 17 | | 17 | 11 | | 18 | 36 | | 19 | 6 | | 20 | 45 | | 21 | 8 | | 22 | 50 | | 23 | 13 | | 24 | 27 | | 25 | 9 | | 26 | 12 | | 27 | 36 | | 28 | 19 | | 29 | 19 | | 30 | 10 | | 31 | 11 | | 32 | 4 | | 33 | 17 | | 34 | 27 | | 35 | 10 | | 36 | 12 | | 37 | 32 | | 38 | 12 | | 39 | 21 | | 40 | 38 | | 41 | 33 | | 42 | 7 | | 43 | 14 | | 44 | 27 | | 45 | 5 | | 46 | 36 | | 47 | 15 | | 48 | 24 | | 49 | 15 |
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| 98.17% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 99 | | matches | | 0 | "was pulled" | | 1 | "been between" |
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| 63.95% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 196 | | matches | | 0 | "was wearing" | | 1 | "was always waiting" | | 2 | "were waiting" | | 3 | "were waiting" |
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| 74.29% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 125 | | ratio | 0.024 | | matches | | 0 | "Aurora Carter—Rory—stood at the bar, her fingers tracing the edge of a glass she hadn’t touched yet, her bright blue eyes scanning the crowd." | | 1 | "She recognized the way he carried himself—quiet, deliberate, like he was always waiting for something." | | 2 | "She remembered the way he used to look at her—like she was the only person in the room who mattered." |
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| 88.51% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 497 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 23 | | adverbRatio | 0.04627766599597585 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.018108651911468814 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 125 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 125 | | mean | 9.98 | | std | 6.36 | | cv | 0.638 | | sampleLengths | | 0 | 23 | | 1 | 19 | | 2 | 24 | | 3 | 34 | | 4 | 17 | | 5 | 4 | | 6 | 24 | | 7 | 22 | | 8 | 15 | | 9 | 7 | | 10 | 9 | | 11 | 6 | | 12 | 22 | | 13 | 10 | | 14 | 9 | | 15 | 8 | | 16 | 3 | | 17 | 2 | | 18 | 11 | | 19 | 19 | | 20 | 20 | | 21 | 9 | | 22 | 6 | | 23 | 3 | | 24 | 5 | | 25 | 5 | | 26 | 6 | | 27 | 11 | | 28 | 17 | | 29 | 12 | | 30 | 6 | | 31 | 2 | | 32 | 26 | | 33 | 15 | | 34 | 15 | | 35 | 3 | | 36 | 21 | | 37 | 7 | | 38 | 10 | | 39 | 6 | | 40 | 5 | | 41 | 4 | | 42 | 22 | | 43 | 10 | | 44 | 6 | | 45 | 13 | | 46 | 18 | | 47 | 14 | | 48 | 6 | | 49 | 2 |
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| 38.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.2 | | totalSentences | 125 | | uniqueOpeners | 25 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 96 | | matches | | 0 | "Then she saw him." | | 1 | "Instead, he raised his glass" | | 2 | "Instead, she said," |
| | ratio | 0.031 | |
| 36.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 44 | | totalSentences | 96 | | matches | | 0 | "She was wearing a dark" | | 1 | "She had been here for" | | 2 | "His auburn hair, streaked with" | | 3 | "She recognized the way he" | | 4 | "She exhaled slowly, forcing herself" | | 5 | "He didn’t look at her" | | 6 | "she said, her voice steadier" | | 7 | "She remembered the way he" | | 8 | "she said finally" | | 9 | "She laughed, sharp and bitter." | | 10 | "He turned his head slightly," | | 11 | "He just watched her, as" | | 12 | "she said instead" | | 13 | "He smiled, a slow, knowing" | | 14 | "She wanted to argue." | | 15 | "She wanted to tell him" | | 16 | "He pulled out a chair" | | 17 | "She had needed him then," | | 18 | "She sat down, her fingers" | | 19 | "He poured himself another drink," |
| | ratio | 0.458 | |
| 53.75% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 78 | | totalSentences | 96 | | matches | | 0 | "The Raven’s Nest smelled of" | | 1 | "The neon green sign above" | | 2 | "Aurora Carter—Rory—stood at the bar," | | 3 | "She was wearing a dark" | | 4 | "She had been here for" | | 5 | "Silas Blackwood leaned against the" | | 6 | "His auburn hair, streaked with" | | 7 | "She recognized the way he" | | 8 | "She exhaled slowly, forcing herself" | | 9 | "He didn’t look at her" | | 10 | "she said, her voice steadier" | | 11 | "Silas set his glass down" | | 12 | "Rory’s jaw tightened." | | 13 | "A beat of silence stretched" | | 14 | "The kind of silence that" | | 15 | "She remembered the way he" | | 16 | "she said finally" | | 17 | "Silas didn’t flinch." | | 18 | "She laughed, sharp and bitter." | | 19 | "He turned his head slightly," |
| | ratio | 0.813 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 5 | | totalSentences | 96 | | matches | | 0 | "Now, it was just another" | | 1 | "Now she was a delivery" | | 2 | "Now she lived in a" | | 3 | "Now she was Rory again," | | 4 | "Now it just made her" |
| | ratio | 0.052 | |
| 40.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 6 | | matches | | 0 | "Aurora Carter—Rory—stood at the bar, her fingers tracing the edge of a glass she hadn’t touched yet, her bright blue eyes scanning the crowd." | | 1 | "His auburn hair, streaked with gray, was slightly tousled, and his hazel eyes held a quiet intensity that made Rory’s breath catch." | | 2 | "Instead, he raised his glass in a slow, deliberate gesture, as if he were waiting for her to make the first move." | | 3 | "He just watched her, as if he were waiting for her to tell him something she hadn’t told herself in years." | | 4 | "He pulled out a chair for her, the kind of gesture that used to make her heart race." | | 5 | "She looked at Silas, at the man who had once been her mentor, her friend, her protector." |
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| 48.08% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 2 | | matches | | 0 | "she said, her voice steadier than she felt" | | 1 | "she said, her voice breaking" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 37 | | tagDensity | 0.297 | | leniency | 0.595 | | rawRatio | 0 | | effectiveRatio | 0 | |