| 9.52% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 30 | | adverbTagCount | 6 | | adverbTags | | 0 | "Silas leaned back [back]" | | 1 | "He chuckled softly [softly]" | | 2 | "He gestured around [around]" | | 3 | "Silas’s eyes narrowed slightly [slightly]" | | 4 | "He leaned back [back]" | | 5 | "Silas leaned back [back]" |
| | dialogueSentences | 63 | | tagDensity | 0.476 | | leniency | 0.952 | | rawRatio | 0.2 | | effectiveRatio | 0.19 | |
| 76.39% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1059 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "softly" | | 1 | "really" | | 2 | "slightly" | | 3 | "slowly" |
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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) | |
| 0.85% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1059 | | totalAiIsms | 21 | | found | | 0 | | | 1 | | | 2 | | word | "practiced ease" | | count | 1 |
| | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | |
| | highlights | | 0 | "flickered" | | 1 | "scanning" | | 2 | "practiced ease" | | 3 | "familiar" | | 4 | "racing" | | 5 | "apprehension" | | 6 | "weight" | | 7 | "echoed" | | 8 | "warmth" | | 9 | "chill" | | 10 | "flicker" | | 11 | "whisper" | | 12 | "tracing" | | 13 | "unspoken" | | 14 | "tension" | | 15 | "raced" |
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| 0.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 4 | | maxInWindow | 4 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "weight of words/silence" | | count | 1 |
| | 2 | | label | "hung in the air" | | count | 1 |
| | 3 | | label | "flicker of emotion" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "the weight of his words" | | 2 | "hung in the air" | | 3 | "a glimmer of hope" |
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| 93.55% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 53 | | matches | | 0 | "t in fear" | | 1 | "a flicker of warmth" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 53 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 86 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1055 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 64.46% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 643 | | uniqueNames | 5 | | maxNameDensity | 1.71 | | worstName | "Silas" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Rory | 9 | | Silas | 11 | | Evan | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Rory" | | 3 | "Silas" | | 4 | "Evan" |
| | places | (empty) | | globalScore | 0.645 | | windowScore | 0.667 | |
| 98.98% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like they were the only two people" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.948 | | wordCount | 1055 | | matches | | 0 | "not what I imagined, but it pays the bills" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 86 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 23.98 | | std | 12.23 | | cv | 0.51 | | sampleLengths | | 0 | 87 | | 1 | 25 | | 2 | 31 | | 3 | 23 | | 4 | 31 | | 5 | 23 | | 6 | 29 | | 7 | 15 | | 8 | 33 | | 9 | 11 | | 10 | 25 | | 11 | 17 | | 12 | 20 | | 13 | 31 | | 14 | 17 | | 15 | 19 | | 16 | 12 | | 17 | 19 | | 18 | 16 | | 19 | 22 | | 20 | 36 | | 21 | 11 | | 22 | 22 | | 23 | 22 | | 24 | 34 | | 25 | 18 | | 26 | 14 | | 27 | 29 | | 28 | 20 | | 29 | 23 | | 30 | 23 | | 31 | 20 | | 32 | 44 | | 33 | 20 | | 34 | 16 | | 35 | 28 | | 36 | 23 | | 37 | 17 | | 38 | 17 | | 39 | 19 | | 40 | 24 | | 41 | 13 | | 42 | 15 | | 43 | 41 |
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| 98.64% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 53 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 111 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 86 | | ratio | 0.012 | | matches | | 0 | "Rory swallowed hard, the memories flooding back—Evan’s anger, the feeling of being trapped, the nights spent in fear." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 646 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 18 | | adverbRatio | 0.02786377708978328 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.007739938080495356 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 86 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 86 | | mean | 12.27 | | std | 5.74 | | cv | 0.468 | | sampleLengths | | 0 | 20 | | 1 | 22 | | 2 | 18 | | 3 | 27 | | 4 | 9 | | 5 | 16 | | 6 | 13 | | 7 | 18 | | 8 | 17 | | 9 | 6 | | 10 | 24 | | 11 | 7 | | 12 | 19 | | 13 | 4 | | 14 | 14 | | 15 | 15 | | 16 | 12 | | 17 | 3 | | 18 | 8 | | 19 | 25 | | 20 | 11 | | 21 | 8 | | 22 | 17 | | 23 | 17 | | 24 | 13 | | 25 | 7 | | 26 | 18 | | 27 | 13 | | 28 | 11 | | 29 | 6 | | 30 | 12 | | 31 | 7 | | 32 | 12 | | 33 | 17 | | 34 | 2 | | 35 | 12 | | 36 | 4 | | 37 | 13 | | 38 | 9 | | 39 | 11 | | 40 | 25 | | 41 | 3 | | 42 | 8 | | 43 | 11 | | 44 | 11 | | 45 | 13 | | 46 | 9 | | 47 | 17 | | 48 | 17 | | 49 | 11 |
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| 65.12% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.4186046511627907 | | totalSentences | 86 | | uniqueOpeners | 36 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 53 | | matches | (empty) | | ratio | 0 | |
| 16.23% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 53 | | matches | | 0 | "He caught sight of Rory" | | 1 | "He set the glass down" | | 2 | "she replied, her voice steady" | | 3 | "She stepped closer, the familiar" | | 4 | "she said, glancing around the" | | 5 | "He gestured toward a vacant" | | 6 | "She followed him, her heart" | | 7 | "They settled into the worn" | | 8 | "she echoed, raising her glass" | | 9 | "He chuckled softly, but the" | | 10 | "She shifted in her seat," | | 11 | "He gestured around the bar," | | 12 | "She crossed her arms, a" | | 13 | "He leaned forward, his voice" | | 14 | "She looked away, tracing the" | | 15 | "He studied her, the lines" | | 16 | "She forced a smile, but" | | 17 | "He leaned back, his gaze" | | 18 | "She met his eyes, the" | | 19 | "He paused, his expression shifting" |
| | ratio | 0.509 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 53 | | matches | | 0 | "The Raven's Nest hummed with" | | 1 | "Silas stood behind the counter," | | 2 | "He caught sight of Rory" | | 3 | "Silas called, a smile breaking" | | 4 | "He set the glass down" | | 5 | "she replied, her voice steady" | | 6 | "She stepped closer, the familiar" | | 7 | "Silas studied her, noting the" | | 8 | "she said, glancing around the" | | 9 | "He gestured toward a vacant" | | 10 | "She followed him, her heart" | | 11 | "They settled into the worn" | | 12 | "Silas poured two glasses of" | | 13 | "she echoed, raising her glass" | | 14 | "The warmth of the whiskey" | | 15 | "Silas leaned back, his expression" | | 16 | "Rory hesitated, the words caught" | | 17 | "He chuckled softly, but the" | | 18 | "She shifted in her seat," | | 19 | "He gestured around the bar," |
| | ratio | 0.962 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 53 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 19 | | technicalSentenceCount | 1 | | matches | | 0 | "The warmth of the whiskey spread through her, but it couldn’t chase away the chill of memories that lingered in the back of her mind." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 30 | | uselessAdditionCount | 17 | | matches | | 0 | "Silas called, a smile breaking across his face" | | 1 | "she replied, her voice steady but laced with a hint of nostalgia" | | 2 | "She followed, her heart racing with a mix of excitement and apprehension" | | 3 | "Silas leaned back, his expression curious yet cautious" | | 4 | "She shifted, the leather creaking beneath her" | | 5 | "He gestured around, his gaze drifting to the patrons" | | 6 | "Silas’s eyes narrowed slightly, a flicker of concern crossing his face" | | 7 | "He leaned, his voice dropping to a conspiratorial whisper" | | 8 | "He leaned back, his gaze steady" | | 9 | "He paused, his expression shifting" | | 10 | "She straightened, a flicker of defiance igniting within her" | | 11 | "Silas’s tone softened, a hint of encouragement lacing his words" | | 12 | "She shook, frustration bubbling to the surface" | | 13 | "Silas leaned back, his expression thoughtful" | | 14 | "He smiled, a glimmer of hope in his eyes" | | 15 | "He raised, a gesture of solidarity" | | 16 | "She clinked, the sound resonating like a promise" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | 0 | "He chuckled softly (chuckle)" |
| | dialogueSentences | 63 | | tagDensity | 0.063 | | leniency | 0.127 | | rawRatio | 0.25 | | effectiveRatio | 0.032 | |