| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.923 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.28% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 874 | | totalAiIsmAdverbs | 1 | | found | | 0 | | adverb | "barely above a whisper" | | count | 1 |
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| | highlights | | 0 | "barely above a whisper" |
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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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 874 | | totalAiIsms | 21 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | word | "down her spine" | | count | 1 |
| | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | |
| | highlights | | 0 | "warmth" | | 1 | "eyebrow" | | 2 | "sanctuary" | | 3 | "racing" | | 4 | "down her spine" | | 5 | "tension" | | 6 | "silence" | | 7 | "tinged" | | 8 | "weight" | | 9 | "unspoken" | | 10 | "flicker" | | 11 | "fleeting" | | 12 | "depths" | | 13 | "whisper" |
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| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 2 |
| | 1 | | label | "weight of words/silence" | | count | 1 |
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| | highlights | | 0 | "eyes narrowed" | | 1 | "the weight of unspoken words" |
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| 98.96% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 64 | | matches | | 0 | "felt a shiver" | | 1 | "d with pride" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 64 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 66 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 876 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 46.09% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 818 | | uniqueNames | 7 | | maxNameDensity | 2.08 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Carter | 1 | | Silas | 6 | | Rory | 17 | | Raven | 1 | | Nest | 1 | | Rolex | 1 | | Evan | 15 |
| | persons | | 0 | "Carter" | | 1 | "Silas" | | 2 | "Rory" | | 3 | "Raven" | | 4 | "Evan" |
| | places | (empty) | | globalScore | 0.461 | | windowScore | 0.667 | |
| 8.49% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 3 | | matches | | 0 | "as if searching for something" | | 1 | "seemed rooted to the spot, her curiosity piqued" | | 2 | "something akin to regret" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 876 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 66 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 31.29 | | std | 17.87 | | cv | 0.571 | | sampleLengths | | 0 | 54 | | 1 | 71 | | 2 | 36 | | 3 | 13 | | 4 | 70 | | 5 | 50 | | 6 | 21 | | 7 | 36 | | 8 | 11 | | 9 | 56 | | 10 | 13 | | 11 | 24 | | 12 | 37 | | 13 | 13 | | 14 | 23 | | 15 | 27 | | 16 | 49 | | 17 | 51 | | 18 | 11 | | 19 | 28 | | 20 | 24 | | 21 | 13 | | 22 | 35 | | 23 | 14 | | 24 | 26 | | 25 | 43 | | 26 | 10 | | 27 | 17 |
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| 94.30% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 64 | | matches | | 0 | "was guarded" | | 1 | "was caught" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 146 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 66 | | ratio | 0.076 | | matches | | 0 | "She closed her eyes, letting the sounds of the bar wash over her – the murmur of conversations, the clink of glasses, the soft thrum of the jazz quartet in the corner." | | 1 | "Evan's gaze lingered on Rory's face, his expression a mixture of nostalgia and something else – something akin to regret." | | 2 | "He'd always been charismatic, but this was something new – a polished, urbane veneer that seemed at odds with the rough-around-the-edges boy she'd known." | | 3 | "That wasn't the Evan she'd known – the one who'd dreamed of making a difference, of changing the world." | | 4 | "The memories they'd shared, the fights they'd had, the way it had all ended – in a messy, brutal breakup that had left her reeling." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 791 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.02402022756005057 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.006321112515802781 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 66 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 66 | | mean | 13.27 | | std | 7.07 | | cv | 0.533 | | sampleLengths | | 0 | 27 | | 1 | 15 | | 2 | 12 | | 3 | 9 | | 4 | 8 | | 5 | 32 | | 6 | 22 | | 7 | 22 | | 8 | 6 | | 9 | 3 | | 10 | 5 | | 11 | 13 | | 12 | 19 | | 13 | 17 | | 14 | 13 | | 15 | 21 | | 16 | 18 | | 17 | 21 | | 18 | 11 | | 19 | 21 | | 20 | 20 | | 21 | 16 | | 22 | 7 | | 23 | 4 | | 24 | 13 | | 25 | 15 | | 26 | 13 | | 27 | 2 | | 28 | 13 | | 29 | 13 | | 30 | 11 | | 31 | 13 | | 32 | 13 | | 33 | 24 | | 34 | 13 | | 35 | 8 | | 36 | 15 | | 37 | 3 | | 38 | 1 | | 39 | 19 | | 40 | 4 | | 41 | 24 | | 42 | 25 | | 43 | 11 | | 44 | 25 | | 45 | 15 | | 46 | 11 | | 47 | 7 | | 48 | 1 | | 49 | 5 |
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| 57.58% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.36363636363636365 | | totalSentences | 66 | | uniqueOpeners | 24 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 61 | | matches | | 0 | "She ordered a whiskey from" | | 1 | "he asked, his hazel eyes" | | 2 | "It burned down her throat," | | 3 | "She closed her eyes, letting" | | 4 | "It couldn't be." | | 5 | "he said, his voice low" | | 6 | "he said, his voice laced" | | 7 | "he said, his voice tinged" | | 8 | "He'd always been charismatic, but" | | 9 | "she asked, curiosity getting the" | | 10 | "he said, the words dropping" | | 11 | "he asked, his tone neutral" | | 12 | "he said, his voice barely" | | 13 | "She nodded, a small, tight" | | 14 | "She threw a twenty onto" |
| | ratio | 0.246 | |
| 41.97% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 61 | | matches | | 0 | "Aurora Carter settled onto a" | | 1 | "She ordered a whiskey from" | | 2 | "he asked, his hazel eyes" | | 3 | "Rory nodded, taking a sip" | | 4 | "It burned down her throat," | | 5 | "She closed her eyes, letting" | | 6 | "The Raven's Nest was her" | | 7 | "Rory's breath caught in her" | | 8 | "It couldn't be." | | 9 | "he said, his voice low" | | 10 | "Rory's eyes narrowed, her mind" | | 11 | "Evan's eyes were still the" | | 12 | "The messy brown hair was" | | 13 | "A tailored suit hugged his" | | 14 | "Evan slid onto the stool" | | 15 | "Rory felt a shiver run" | | 16 | "Silas, ever the astute observer," | | 17 | "Evan's gaze lingered on Rory's" | | 18 | "he said, his voice laced" | | 19 | "Rory raised an eyebrow, her" |
| | ratio | 0.836 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 58.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 4 | | matches | | 0 | "Rory's eyes narrowed, her mind racing to reconcile the man standing before her with the boy she'd left behind." | | 1 | "Evan slid onto the stool beside her, his eyes roving over her face as if searching for something." | | 2 | "Rory's gaze followed, her eyes snagging on the silver watch encircling his wrist." | | 3 | "He'd always been charismatic, but this was something new – a polished, urbane veneer that seemed at odds with the rough-around-the-edges boy she'd known." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 8 | | matches | | 0 | "he asked, his hazel eyes crinkling at the corners" | | 1 | "he said, his voice low and rough, like the first autumn leaves" | | 2 | "Rory said, the words tumbling out before she could catch them" | | 3 | "she asked, curiosity getting the better of her" | | 4 | "he said, the words dropping like a stone into the conversation" | | 5 | "Evan said, the words spilling out like a confession" | | 6 | "he asked, his tone neutral" | | 7 | "he said, his voice barely above a whisper" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 13 | | tagDensity | 0.846 | | leniency | 1 | | rawRatio | 0.091 | | effectiveRatio | 0.091 | |