| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.51% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 870 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | 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 | 870 | | totalAiIsms | 27 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | word | "down her spine" | | count | 1 |
| | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | |
| | highlights | | 0 | "pounding" | | 1 | "racing" | | 2 | "pulsed" | | 3 | "warmth" | | 4 | "reminder" | | 5 | "scanning" | | 6 | "echoed" | | 7 | "gloom" | | 8 | "chill" | | 9 | "down her spine" | | 10 | "clenching" | | 11 | "spectral" | | 12 | "could feel" | | 13 | "weight" | | 14 | "whisper" | | 15 | "silence" | | 16 | "anticipation" | | 17 | "resolve" | | 18 | "measured" | | 19 | "gleaming" | | 20 | "treacherous" | | 21 | "depths" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 99.36% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 65 | | matches | | 0 | "d with warmth" | | 1 | "y with anticipation" |
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| 98.90% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 65 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 74 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 869 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 4 | | wordCount | 692 | | uniqueNames | 2 | | maxNameDensity | 0.43 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 62.28% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 2 | | matches | | 0 | "as if savoring each syllable" | | 1 | "felt like she was being tested, her res" |
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| 84.93% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.151 | | wordCount | 869 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 74 | | matches | (empty) | |
| 88.89% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 29.97 | | std | 13.82 | | cv | 0.461 | | sampleLengths | | 0 | 54 | | 1 | 44 | | 2 | 50 | | 3 | 45 | | 4 | 34 | | 5 | 39 | | 6 | 21 | | 7 | 64 | | 8 | 28 | | 9 | 33 | | 10 | 9 | | 11 | 33 | | 12 | 17 | | 13 | 24 | | 14 | 16 | | 15 | 31 | | 16 | 39 | | 17 | 19 | | 18 | 12 | | 19 | 32 | | 20 | 43 | | 21 | 12 | | 22 | 19 | | 23 | 35 | | 24 | 27 | | 25 | 15 | | 26 | 42 | | 27 | 17 | | 28 | 15 |
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| 89.07% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 65 | | matches | | 0 | "was gone" | | 1 | "were obscured" | | 2 | "being tested" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 127 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 74 | | ratio | 0.014 | | matches | | 0 | "She'd almost convinced herself it was just her imagination, just the night playing tricks—" |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 693 | | adjectiveStacks | 1 | | stackExamples | | 0 | "revealing gleaming, razor-sharp teeth." |
| | adverbCount | 27 | | adverbRatio | 0.03896103896103896 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.010101010101010102 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 74 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 74 | | mean | 11.74 | | std | 6.24 | | cv | 0.531 | | sampleLengths | | 0 | 12 | | 1 | 16 | | 2 | 12 | | 3 | 14 | | 4 | 12 | | 5 | 7 | | 6 | 11 | | 7 | 14 | | 8 | 14 | | 9 | 16 | | 10 | 8 | | 11 | 10 | | 12 | 2 | | 13 | 9 | | 14 | 11 | | 15 | 9 | | 16 | 10 | | 17 | 6 | | 18 | 11 | | 19 | 17 | | 20 | 6 | | 21 | 12 | | 22 | 13 | | 23 | 14 | | 24 | 14 | | 25 | 7 | | 26 | 10 | | 27 | 11 | | 28 | 23 | | 29 | 20 | | 30 | 13 | | 31 | 5 | | 32 | 10 | | 33 | 6 | | 34 | 11 | | 35 | 8 | | 36 | 8 | | 37 | 9 | | 38 | 13 | | 39 | 20 | | 40 | 17 | | 41 | 8 | | 42 | 16 | | 43 | 6 | | 44 | 10 | | 45 | 7 | | 46 | 24 | | 47 | 4 | | 48 | 35 | | 49 | 7 |
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| 79.73% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.4864864864864865 | | totalSentences | 74 | | uniqueOpeners | 36 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 63 | | matches | | 0 | "Only the breeze rustling through" | | 1 | "Slowly, the figure reached up" | | 2 | "Then she squared her shoulders," |
| | ratio | 0.048 | |
| 42.22% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 63 | | matches | | 0 | "She'd come here seeking answers," | | 1 | "She took a deep breath," | | 2 | "She needed to focus, to" | | 3 | "It recognized something in this" | | 4 | "She had the sudden, unnerving" | | 5 | "She blinked and it was" | | 6 | "she muttered, unsteady feet carrying" | | 7 | "She spun in a slow" | | 8 | "Her voice echoed oddly, as" | | 9 | "She'd almost convinced herself it" | | 10 | "She whirled around, stumbling back" | | 11 | "she called, hating the waver" | | 12 | "She squinted into the gloom" | | 13 | "It grounded her, reminded her" | | 14 | "It rolled over her name" | | 15 | "She froze, ice flooding her" | | 16 | "She'd come too far to" | | 17 | "Its features were obscured by" | | 18 | "It seemed to come from" | | 19 | "She bristled at that." |
| | ratio | 0.444 | |
| 71.11% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 49 | | totalSentences | 63 | | matches | | 0 | "Aurora stepped into the moonlit" | | 1 | "Wildflowers dotted the grass, their" | | 2 | "She'd come here seeking answers," | | 3 | "A slight movement in the" | | 4 | "She took a deep breath," | | 5 | "The pendant around her neck" | | 6 | "Rory absently rubbed the small" | | 7 | "She needed to focus, to" | | 8 | "The Heartstone guided her, but" | | 9 | "It recognized something in this" | | 10 | "Mist crept along the ground," | | 11 | "The air grew heavy and" | | 12 | "She had the sudden, unnerving" | | 13 | "She blinked and it was" | | 14 | "she muttered, unsteady feet carrying" | | 15 | "She spun in a slow" | | 16 | "Her voice echoed oddly, as" | | 17 | "The stillness stretched on, broken" | | 18 | "She'd almost convinced herself it" | | 19 | "A twig snapped behind her" |
| | ratio | 0.778 | |
| 79.37% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 63 | | matches | | 0 | "Just as she crossed the" |
| | ratio | 0.016 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 2 | | matches | | 0 | "Taking a shaky breath, she reached for the silver chain around her neck, letting the warmth of the pendant seep into her skin." | | 1 | "High, sharp cheekbones, alabaster skin, A face that was at once beautiful and terrible to behold." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 7.14% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she demanded (demand)" |
| | dialogueSentences | 14 | | tagDensity | 0.214 | | leniency | 0.429 | | rawRatio | 0.667 | | effectiveRatio | 0.286 | |