| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 1 | | adverbTags | | 0 | "Miller pointed again [again]" |
| | dialogueSentences | 77 | | tagDensity | 0.299 | | leniency | 0.597 | | rawRatio | 0.043 | | effectiveRatio | 0.026 | |
| 96.29% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1347 | | totalAiIsmAdverbs | 1 | | 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) | |
| 51.74% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1347 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "perfect" | | 1 | "gleaming" | | 2 | "scanned" | | 3 | "stomach" | | 4 | "shattered" | | 5 | "trembled" | | 6 | "magnetic" | | 7 | "resonance" | | 8 | "flicker" | | 9 | "chaotic" | | 10 | "whisper" | | 11 | "weight" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 115 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 115 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 168 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1347 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 27.09% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 895 | | uniqueNames | 4 | | maxNameDensity | 2.46 | | worstName | "Harlow" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Harlow" | | discoveredNames | | Harlow | 22 | | Miller | 15 | | Darkness | 1 | | Eva | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Miller" | | 2 | "Darkness" | | 3 | "Eva" |
| | places | (empty) | | globalScore | 0.271 | | windowScore | 0.5 | |
| 83.33% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 75 | | glossingSentenceCount | 2 | | matches | | 0 | "eyes that seemed to watch back" | | 1 | "sounded like it came from inside the compa" |
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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 | 1347 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 168 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 84 | | mean | 16.04 | | std | 13.69 | | cv | 0.853 | | sampleLengths | | 0 | 5 | | 1 | 60 | | 2 | 8 | | 3 | 44 | | 4 | 7 | | 5 | 47 | | 6 | 22 | | 7 | 13 | | 8 | 18 | | 9 | 22 | | 10 | 12 | | 11 | 45 | | 12 | 6 | | 13 | 6 | | 14 | 12 | | 15 | 38 | | 16 | 33 | | 17 | 53 | | 18 | 4 | | 19 | 35 | | 20 | 24 | | 21 | 6 | | 22 | 1 | | 23 | 5 | | 24 | 37 | | 25 | 13 | | 26 | 8 | | 27 | 33 | | 28 | 7 | | 29 | 20 | | 30 | 5 | | 31 | 10 | | 32 | 4 | | 33 | 11 | | 34 | 9 | | 35 | 5 | | 36 | 46 | | 37 | 7 | | 38 | 23 | | 39 | 5 | | 40 | 31 | | 41 | 1 | | 42 | 6 | | 43 | 24 | | 44 | 19 | | 45 | 3 | | 46 | 20 | | 47 | 19 | | 48 | 4 | | 49 | 2 |
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| 96.11% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 115 | | matches | | 0 | "was frozen" | | 1 | "was masked" | | 2 | "were filled" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 162 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 168 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 898 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.02338530066815145 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.01002227171492205 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 168 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 168 | | mean | 8.02 | | std | 5.87 | | cv | 0.732 | | sampleLengths | | 0 | 5 | | 1 | 12 | | 2 | 20 | | 3 | 14 | | 4 | 14 | | 5 | 8 | | 6 | 32 | | 7 | 12 | | 8 | 7 | | 9 | 6 | | 10 | 15 | | 11 | 10 | | 12 | 11 | | 13 | 5 | | 14 | 7 | | 15 | 2 | | 16 | 7 | | 17 | 6 | | 18 | 13 | | 19 | 9 | | 20 | 9 | | 21 | 22 | | 22 | 11 | | 23 | 1 | | 24 | 39 | | 25 | 6 | | 26 | 6 | | 27 | 6 | | 28 | 6 | | 29 | 6 | | 30 | 24 | | 31 | 14 | | 32 | 15 | | 33 | 18 | | 34 | 15 | | 35 | 20 | | 36 | 18 | | 37 | 4 | | 38 | 18 | | 39 | 7 | | 40 | 10 | | 41 | 10 | | 42 | 14 | | 43 | 6 | | 44 | 1 | | 45 | 5 | | 46 | 6 | | 47 | 14 | | 48 | 12 | | 49 | 4 |
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| 45.63% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 20 | | diversityRatio | 0.34523809523809523 | | totalSentences | 168 | | uniqueOpeners | 58 | |
| 93.46% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 107 | | matches | | 0 | "Just the circle of dried" | | 1 | "Instead of holding north, it" | | 2 | "Only a sound like wet" |
| | ratio | 0.028 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 107 | | matches | | 0 | "She checked her watch, a" | | 1 | "His face was frozen in" | | 2 | "His mouth hung open, teeth" | | 3 | "He held nothing but air." | | 4 | "She pointed to the floor" | | 5 | "She stood up slowly, boots" | | 6 | "She pulled a small brass" | | 7 | "He paced the length of" | | 8 | "It pointed at the dark" | | 9 | "She handed the compass to" | | 10 | "His face shifted from skepticism" | | 11 | "He looked at her." | | 12 | "It wasn't the sound of" | | 13 | "It was a resonance that" | | 14 | "It didn't stop." | | 15 | "It kept going faster." | | 16 | "Her movements were fluid, rehearsed." | | 17 | "She didn't hesitate." | | 18 | "She raised her pistol, the" | | 19 | "It held the shape of" |
| | ratio | 0.271 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 100 | | totalSentences | 107 | | matches | | 0 | "This body doesn't bleed right." | | 1 | "Harlow knelt, gloved fingers hovering" | | 2 | "The blood lay spread in" | | 3 | "The air in the abandoned" | | 4 | "She checked her watch, a" | | 5 | "Harlow asked without looking up" | | 6 | "The colleague stood knee-deep in" | | 7 | "Harlow moved closer to the" | | 8 | "The man wore a fine" | | 9 | "His face was frozen in" | | 10 | "His mouth hung open, teeth" | | 11 | "He held nothing but air." | | 12 | "Harlow scanned the ground around" | | 13 | "She pointed to the floor" | | 14 | "Miller leaned down, squinting through" | | 15 | "Miller suggested, the word heavy" | | 16 | "Harlow reached into her pocket," | | 17 | "Miller crouched beside the discarded" | | 18 | "She stood up slowly, boots" | | 19 | "Miller took a step closer," |
| | ratio | 0.935 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 107 | | matches | (empty) | | ratio | 0 | |
| 95.24% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 2 | | matches | | 0 | "The station was empty, save for the damp shadows and the flickering fluorescent light that buzzed like a trapped fly." | | 1 | "It was a resonance that rattled the teeth in her skull." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 6 | | matches | | 0 | "The colleague stood, boots squelching" | | 1 | "Harlow reached, her movements sharp and deliberate" | | 2 | "She stood up, boots crunching over glass shards scattered across the platform" | | 3 | "Miller took, his voice dropping an octave" | | 4 | "Miller pointed again, his hand shaking violently" | | 5 | "The figure took, the floor cracking beneath its weight" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "Miller suggested (suggest)" | | 1 | "Miller laughed (laugh)" |
| | dialogueSentences | 77 | | tagDensity | 0.039 | | leniency | 0.078 | | rawRatio | 0.667 | | effectiveRatio | 0.052 | |