| 63.64% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 3 | | adverbTags | | 0 | "he said quietly [quietly]" | | 1 | "She bristled slightly [slightly]" | | 2 | "he said finally [finally]" |
| | dialogueSentences | 33 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0.136 | | effectiveRatio | 0.136 | |
| 51.41% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1132 | | totalAiIsmAdverbs | 11 | | found | | 0 | | | 1 | | | 2 | | | 3 | | adverb | "deliberately" | | count | 2 |
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| | highlights | | 0 | "really" | | 1 | "quickly" | | 2 | "slightly" | | 3 | "deliberately" |
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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 | 1132 | | totalAiIsms | 24 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | |
| | highlights | | 0 | "unsettled" | | 1 | "etched" | | 2 | "flickered" | | 3 | "flicker" | | 4 | "reminder" | | 5 | "solitary" | | 6 | "sanctuary" | | 7 | "pulse" | | 8 | "sense of" | | 9 | "measured" | | 10 | "clandestine" | | 11 | "unspoken" | | 12 | "desire" | | 13 | "depths" | | 14 | "familiar" | | 15 | "echoes" | | 16 | "chilling" | | 17 | "silence" | | 18 | "fleeting" | | 19 | "gloom" | | 20 | "weight" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "hung in the air" | | count | 1 |
| | 1 | | label | "sent a shiver through" | | count | 1 |
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| | highlights | | 0 | "hung in the air" | | 1 | "sent a jolt through" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 76 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 76 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 89 | | 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 | 2 | | markdownWords | 7 | | totalWords | 1130 | | ratio | 0.006 | | matches | | 0 | "them" | | 1 | "“Thinking of you. Please be well.”" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 20 | | unquotedAttributions | 1 | | matches | | 0 | "As she turned to leave, Silas spoke again, his voice barely audible above the rain." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 962 | | uniqueNames | 12 | | maxNameDensity | 0.62 | | worstName | "Silas" | | maxWindowNameDensity | 1 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 3 | | Nest | 3 | | Aurora | 2 | | Cardiff | 2 | | Chinese | 1 | | Silas | 6 | | Blackwood | 1 | | Prague | 1 | | London | 2 | | Eva | 3 | | Evan | 1 | | Soho | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Aurora" | | 3 | "Silas" | | 4 | "Blackwood" | | 5 | "Eva" | | 6 | "Evan" |
| | places | | 0 | "Cardiff" | | 1 | "Prague" | | 2 | "London" | | 3 | "Soho" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1130 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 89 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 40.36 | | std | 21.45 | | cv | 0.531 | | sampleLengths | | 0 | 81 | | 1 | 80 | | 2 | 49 | | 3 | 55 | | 4 | 22 | | 5 | 51 | | 6 | 24 | | 7 | 52 | | 8 | 11 | | 9 | 58 | | 10 | 27 | | 11 | 25 | | 12 | 54 | | 13 | 13 | | 14 | 40 | | 15 | 58 | | 16 | 20 | | 17 | 38 | | 18 | 36 | | 19 | 16 | | 20 | 80 | | 21 | 17 | | 22 | 21 | | 23 | 25 | | 24 | 31 | | 25 | 38 | | 26 | 27 | | 27 | 81 |
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| 96.03% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 76 | | matches | | 0 | "was pulled" | | 1 | "been driven" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 153 | | matches | | 0 | "was trying" | | 1 | "was fleeting" |
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| 78.65% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 89 | | ratio | 0.022 | | matches | | 0 | "She’d been nursing a lukewarm pint of bitter, sketching furiously in a small notebook – a habit she hadn’t shaken, even after fleeing Cardiff and landing a soul-crushing job delivering Chinese takeout." | | 1 | "The bar was sparsely populated – a couple huddled in a booth nursing whiskey, a solitary figure at the far end lost in a paperback." |
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| 78.63% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 530 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.05471698113207547 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.03018867924528302 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 89 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 89 | | mean | 12.7 | | std | 7.62 | | cv | 0.6 | | sampleLengths | | 0 | 22 | | 1 | 32 | | 2 | 27 | | 3 | 12 | | 4 | 12 | | 5 | 37 | | 6 | 19 | | 7 | 26 | | 8 | 15 | | 9 | 8 | | 10 | 11 | | 11 | 8 | | 12 | 3 | | 13 | 3 | | 14 | 2 | | 15 | 5 | | 16 | 23 | | 17 | 13 | | 18 | 9 | | 19 | 9 | | 20 | 12 | | 21 | 5 | | 22 | 25 | | 23 | 10 | | 24 | 7 | | 25 | 7 | | 26 | 13 | | 27 | 1 | | 28 | 27 | | 29 | 8 | | 30 | 3 | | 31 | 8 | | 32 | 3 | | 33 | 20 | | 34 | 25 | | 35 | 13 | | 36 | 7 | | 37 | 20 | | 38 | 6 | | 39 | 10 | | 40 | 6 | | 41 | 3 | | 42 | 12 | | 43 | 17 | | 44 | 3 | | 45 | 1 | | 46 | 21 | | 47 | 13 | | 48 | 7 | | 49 | 18 |
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| 55.81% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.38202247191011235 | | totalSentences | 89 | | uniqueOpeners | 34 | |
| 92.59% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 72 | | matches | | 0 | "Then he looked up, and" | | 1 | "Just a man who’d seen" |
| | ratio | 0.028 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 42 | | totalSentences | 72 | | matches | | 0 | "She’d been nursing a lukewarm" | | 1 | "He wasn’t smiling, hadn’t smiled," | | 2 | "His grey-streaked auburn hair was" | | 3 | "He looked older, undeniably so," | | 4 | "he said, his voice a" | | 5 | "She lowered her notebook, the" | | 6 | "she replied, the greeting clipped," | | 7 | "It had been…" | | 8 | "he said, a flicker of" | | 9 | "It wasn’t a compliment, not" | | 10 | "she said, taking a swallow" | | 11 | "It wasn’t just delivery work." | | 12 | "It was a buffer, a" | | 13 | "He watched her for a" | | 14 | "he stated, simply" | | 15 | "she managed, the voice thin" | | 16 | "It wasn’t meant to be" | | 17 | "He turned, his eyes considering" | | 18 | "he said quietly" | | 19 | "She bristled slightly at the" |
| | ratio | 0.583 | |
| 22.50% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 72 | | matches | | 0 | "The rain hammered against the" | | 1 | "She’d been nursing a lukewarm" | | 2 | "The air hung thick with" | | 3 | "Silas was behind the bar," | | 4 | "He wasn’t smiling, hadn’t smiled," | | 5 | "His grey-streaked auburn hair was" | | 6 | "He looked older, undeniably so," | | 7 | "he said, his voice a" | | 8 | "She lowered her notebook, the" | | 9 | "she replied, the greeting clipped," | | 10 | "It had been…" | | 11 | "a long time." | | 12 | "he said, a flicker of" | | 13 | "It wasn’t a compliment, not" | | 14 | "she said, taking a swallow" | | 15 | "The lie tasted bitter on" | | 16 | "It wasn’t just delivery work." | | 17 | "It was a buffer, a" | | 18 | "He watched her for a" | | 19 | "he stated, simply" |
| | ratio | 0.875 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 72 | | matches | | 0 | "Now, she was..." | | 1 | "Now, she mostly just delivered" |
| | ratio | 0.028 | |
| 7.72% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 7 | | matches | | 0 | "The rain hammered against the windows of The Raven’s Nest, a steady, insistent drumming that mirrored the unsettled feeling in Aurora’s chest." | | 1 | "The air hung thick with the smell of damp wool, stale beer, and something vaguely medicinal, a scent that clung to Silas Blackwood like a second skin." | | 2 | "Then he looked up, and recognition flickered in his gaze, a brief spark of something that might have been joy, quickly masked by a practiced neutrality." | | 3 | "The thought of him, of *them*, was a dull ache in her chest, a reminder of the easy laughter and shared dreams that had evaporated like smoke." | | 4 | "The rain intensified, the neon sign of The Raven’s Nest flickering intermittently, casting an unsettling green glow across the room." | | 5 | "The girl who’d left Cardiff had been reckless, impulsive, a whirlwind of tangled hair and defiant stares." | | 6 | "Just a man who’d seen too much, done too much, and was trying to find a semblance of peace in a dimly lit bar in Soho." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 11 | | matches | | 0 | "she replied, the greeting clipped, almost hesitant" | | 1 | "he said, a flicker of genuine curiosity in his eyes" | | 2 | "he stated, simply" | | 3 | "she offered, the words sounding hollow even to her own ears" | | 4 | "Silas agreed, his tone measured" | | 5 | "he said finally, his voice deliberately vague" | | 6 | "she said, a wry smile touching her lips" | | 7 | "he said, the words delivered with a chilling precision" | | 8 | "she said, the name a ghost on her tongue" | | 9 | "he said, his voice low" | | 10 | "he said, his hand briefly closing on her arm" |
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| 61.76% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 17 | | fancyCount | 3 | | fancyTags | | 0 | "he stated (state)" | | 1 | "Silas observed (observe)" | | 2 | "Silas agreed (agree)" |
| | dialogueSentences | 33 | | tagDensity | 0.515 | | leniency | 1 | | rawRatio | 0.176 | | effectiveRatio | 0.176 | |