| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said finally [finally]" |
| | dialogueSentences | 15 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0.1 | | effectiveRatio | 0.1 | |
| 90.69% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1074 | | totalAiIsmAdverbs | 2 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 1 |
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| | highlights | | 0 | "slightly" | | 1 | "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 | 1074 | | totalAiIsms | 23 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "navigating" | | 1 | "sanctuary" | | 2 | "familiar" | | 3 | "scanning" | | 4 | "measured" | | 5 | "tension" | | 6 | "sense of" | | 7 | "tinged" | | 8 | "eyebrow" | | 9 | "dance" | | 10 | "determined" | | 11 | "pang" | | 12 | "flicker" | | 13 | "whisper" | | 14 | "enigmatic" | | 15 | "weight" | | 16 | "unspoken" | | 17 | "glint" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "couldn't help but" | | count | 1 |
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| | highlights | | 0 | "couldn't help but wonder" |
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| 50.60% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 5 | | narrationSentences | 56 | | matches | | 0 | "r with unease" | | 1 | "a surge of relief" | | 2 | "a twinge of guilt" | | 3 | "a pang of regret" | | 4 | "felt a lump" |
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| 66.33% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 56 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 62 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1078 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 972 | | uniqueNames | 5 | | maxNameDensity | 1.44 | | worstName | "Evan" | | maxWindowNameDensity | 3 | | worstWindowName | "Evan" | | discoveredNames | | Carter | 1 | | London | 2 | | Evan | 14 | | Rory | 14 | | Silas | 8 |
| | persons | | 0 | "Carter" | | 1 | "Evan" | | 2 | "Rory" | | 3 | "Silas" |
| | places | | | globalScore | 0.78 | | windowScore | 0.667 | |
| 13.64% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | glossingSentenceCount | 3 | | matches | | 0 | "seemed determined to catch up, to reestablish a connection that had long since frayed, but Rory was wary, her defenses on high alert" | | 1 | "as if monitoring the situation" | | 2 | "seemed oblivious to the tension, or perhaps he was simply choosing to ignore it" |
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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 | 1078 | | matches | (empty) | |
| 5.38% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 3 | | totalSentences | 62 | | matches | | 0 | "realized that she" | | 1 | "knew that she knew that she" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 27 | | mean | 39.93 | | std | 23.15 | | cv | 0.58 | | sampleLengths | | 0 | 97 | | 1 | 76 | | 2 | 75 | | 3 | 20 | | 4 | 16 | | 5 | 37 | | 6 | 41 | | 7 | 62 | | 8 | 28 | | 9 | 19 | | 10 | 62 | | 11 | 55 | | 12 | 55 | | 13 | 32 | | 14 | 50 | | 15 | 37 | | 16 | 17 | | 17 | 27 | | 18 | 19 | | 19 | 38 | | 20 | 11 | | 21 | 15 | | 22 | 57 | | 23 | 34 | | 24 | 12 | | 25 | 13 | | 26 | 73 |
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| 99.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 56 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 175 | | matches | | 0 | "was simply choosing" | | 1 | "was watching" |
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| 4.61% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 62 | | ratio | 0.048 | | matches | | 0 | "That's when she saw him – Evan, her ex, standing in the doorway, his eyes scanning the room with an air of confident familiarity that made Rory's gut twist into a knot." | | 1 | "They talked about nothing and everything, skirting around the elephant in the room – their past, the reasons she'd left him." | | 2 | "He paused, his eyes locking onto hers, a flicker of something – uncertainty, vulnerability – flashing across his face before he masked it with his usual confidence." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 84 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 3 | | adverbRatio | 0.03571428571428571 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.011904761904761904 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 62 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 62 | | mean | 17.39 | | std | 6.99 | | cv | 0.402 | | sampleLengths | | 0 | 32 | | 1 | 27 | | 2 | 21 | | 3 | 17 | | 4 | 32 | | 5 | 28 | | 6 | 16 | | 7 | 20 | | 8 | 21 | | 9 | 19 | | 10 | 15 | | 11 | 16 | | 12 | 4 | | 13 | 16 | | 14 | 19 | | 15 | 18 | | 16 | 22 | | 17 | 19 | | 18 | 19 | | 19 | 8 | | 20 | 13 | | 21 | 22 | | 22 | 14 | | 23 | 14 | | 24 | 11 | | 25 | 8 | | 26 | 17 | | 27 | 21 | | 28 | 24 | | 29 | 23 | | 30 | 16 | | 31 | 16 | | 32 | 16 | | 33 | 21 | | 34 | 18 | | 35 | 17 | | 36 | 15 | | 37 | 12 | | 38 | 26 | | 39 | 12 | | 40 | 11 | | 41 | 13 | | 42 | 13 | | 43 | 11 | | 44 | 6 | | 45 | 27 | | 46 | 19 | | 47 | 19 | | 48 | 19 | | 49 | 11 |
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| 69.89% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.41935483870967744 | | totalSentences | 62 | | uniqueOpeners | 26 | |
| 59.52% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 56 | | matches | | 0 | "Perhaps, just perhaps, Evan had" |
| | ratio | 0.018 | |
| 27.14% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 56 | | matches | | 0 | "She had just ordered her" | | 1 | "It had been three years" | | 2 | "It was a smile that" | | 3 | "He made his way through" | | 4 | "he said, his voice low" | | 5 | "He slid onto the stool" | | 6 | "he asked Evan, his tone" | | 7 | "He looked different, his features" | | 8 | "His hair was shorter, styled" | | 9 | "He had always been good-looking," | | 10 | "he said, his voice tinged" | | 11 | "she replied, her voice even" | | 12 | "They talked about nothing and" | | 13 | "He regaled her with stories" | | 14 | "She couldn't help but wonder" | | 15 | "he said, his voice laced" | | 16 | "She had been so caught" | | 17 | "She had been so quick" | | 18 | "she said, her voice low," | | 19 | "He paused, his eyes locking" |
| | ratio | 0.482 | |
| 40.36% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 56 | | matches | | 0 | "Aurora Carter slid onto the" | | 1 | "She had just ordered her" | | 2 | "The sounds of the city" | | 3 | "That's when she saw him" | | 4 | "It had been three years" | | 5 | "The memories of their tumultuous" | | 6 | "Evan's gaze swept the room," | | 7 | "It was a smile that" | | 8 | "He made his way through" | | 9 | "Rory felt a surge of" | | 10 | "he said, his voice low" | | 11 | "Rory forced a neutral expression," | | 12 | "He slid onto the stool" | | 13 | "Silas, ever the observant host," | | 14 | "he asked Evan, his tone" | | 15 | "Evan ordered a whiskey, and" | | 16 | "He looked different, his features" | | 17 | "His hair was shorter, styled" | | 18 | "He had always been good-looking," | | 19 | "he said, his voice tinged" |
| | ratio | 0.839 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 56 | | matches | (empty) | | ratio | 0 | |
| 12.99% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 8 | | matches | | 0 | "That's when she saw him – Evan, her ex, standing in the doorway, his eyes scanning the room with an air of confident familiarity that made Rory's gut twist into…" | | 1 | "The memories of their tumultuous relationship still lingered, a festering wound that refused to fully heal." | | 2 | "He slid onto the stool beside her, his eyes taking in the bar, the patrons, before returning to her." | | 3 | "His hair was shorter, styled in a way that accentuated his angular cheekbones." | | 4 | "He had always been good-looking, but there was a polished quality to him now, a sense of confidence that bordered on arrogance." | | 5 | "Evan seemed determined to catch up, to reestablish a connection that had long since frayed, but Rory was wary, her defenses on high alert." | | 6 | "Silas kept a discreet distance, his eyes flicking to them periodically, as if monitoring the situation." | | 7 | "He paused, his eyes locking onto hers, a flicker of something – uncertainty, vulnerability – flashing across his face before he masked it with his usual confide…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 5 | | matches | | 0 | "he asked, his tone friendly but with a hint of reserve" | | 1 | "she said, her voice low, as Evan turned to leave" | | 2 | "he said, his voice softer than she'd expected" | | 3 | "she said finally, her voice barely above a whisper" | | 4 | "she said, her voice a little stronger now" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 15 | | tagDensity | 0.6 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |