| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 5 | | adverbTags | | 0 | "Eva moved further [further]" | | 1 | "Rory said quietly [quietly]" | | 2 | "Eva leaned back [back]" | | 3 | "Rory said quietly [quietly]" | | 4 | "Rory said softly [softly]" |
| | dialogueSentences | 31 | | tagDensity | 0.452 | | leniency | 0.903 | | rawRatio | 0.357 | | effectiveRatio | 0.323 | |
| 81.50% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1351 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "suddenly" | | 1 | "really" | | 2 | "slightly" | | 3 | "softly" |
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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) | |
| 55.59% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1351 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "weight" | | 1 | "measured" | | 2 | "silence" | | 3 | "velvet" | | 4 | "encounter" | | 5 | "stomach" | | 6 | "intensity" | | 7 | "pristine" | | 8 | "perfect" | | 9 | "wavered" | | 10 | "methodical" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 77 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 77 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 94 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1342 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 25.25% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 58 | | wordCount | 1002 | | uniqueNames | 9 | | maxNameDensity | 2.5 | | worstName | "Rory" | | maxWindowNameDensity | 4 | | worstWindowName | "Rory" | | discoveredNames | | Weight | 1 | | Years | 1 | | Raven | 3 | | Nest | 3 | | November | 2 | | Rory | 25 | | Silas | 4 | | Mendez | 1 | | Eva | 18 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Rory" | | 3 | "Silas" | | 4 | "Mendez" | | 5 | "Eva" |
| | places | | | globalScore | 0.252 | | windowScore | 0.333 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 4 | | matches | | 0 | "smelled like it always did—stale beer, old" | | 1 | "quite place her" | | 2 | "quite reach her eyes" | | 3 | "smelled like fried rice and soy sauce" |
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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 | 1342 | | matches | (empty) | |
| 0.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 5 | | totalSentences | 94 | | matches | | 0 | "understood that Eva" | | 1 | "implied that Rory broken, that her" | | 2 | "was that some" | | 3 | "understood that he" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 35.32 | | std | 26.97 | | cv | 0.764 | | sampleLengths | | 0 | 5 | | 1 | 75 | | 2 | 96 | | 3 | 37 | | 4 | 9 | | 5 | 58 | | 6 | 64 | | 7 | 11 | | 8 | 1 | | 9 | 76 | | 10 | 21 | | 11 | 46 | | 12 | 18 | | 13 | 51 | | 14 | 31 | | 15 | 19 | | 16 | 17 | | 17 | 70 | | 18 | 12 | | 19 | 57 | | 20 | 46 | | 21 | 4 | | 22 | 45 | | 23 | 31 | | 24 | 97 | | 25 | 11 | | 26 | 13 | | 27 | 69 | | 28 | 7 | | 29 | 51 | | 30 | 18 | | 31 | 59 | | 32 | 7 | | 33 | 4 | | 34 | 26 | | 35 | 21 | | 36 | 52 | | 37 | 7 |
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| 87.04% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 77 | | matches | | 0 | "been smoked" | | 1 | "were lined" | | 2 | "were folded" | | 3 | "was broken" |
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| 84.39% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 173 | | matches | | 0 | "was polishing" | | 1 | "was wearing" | | 2 | "was saying" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 94 | | ratio | 0.053 | | matches | | 0 | "# The Weight of Years The Raven's Nest smelled like it always did—stale beer, old wood, and the ghost of a thousand cigarettes that had been smoked before the ban." | | 1 | "Her keys were already in her hand—a habit born from years of working late, never wanting to fumble in the dark." | | 2 | "She waited a moment, listening to the ambient silence of the building—the faint sound of a television through another wall, the hum of the aging boiler in the basement." | | 3 | "The bar was nearly empty now—just two regulars hunched at the far end of the counter, their conversation a low murmur." | | 4 | "The worst part was that some version of Rory—the version that still existed in a locked-off corner of her chest—agreed." |
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| 86.69% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1010 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 55 | | adverbRatio | 0.054455445544554455 | | lyAdverbCount | 21 | | lyAdverbRatio | 0.020792079207920793 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 94 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 94 | | mean | 14.28 | | std | 9.85 | | cv | 0.69 | | sampleLengths | | 0 | 30 | | 1 | 18 | | 2 | 22 | | 3 | 3 | | 4 | 3 | | 5 | 4 | | 6 | 21 | | 7 | 17 | | 8 | 18 | | 9 | 21 | | 10 | 19 | | 11 | 16 | | 12 | 21 | | 13 | 9 | | 14 | 21 | | 15 | 29 | | 16 | 8 | | 17 | 8 | | 18 | 21 | | 19 | 6 | | 20 | 16 | | 21 | 2 | | 22 | 1 | | 23 | 10 | | 24 | 11 | | 25 | 1 | | 26 | 12 | | 27 | 21 | | 28 | 19 | | 29 | 12 | | 30 | 12 | | 31 | 9 | | 32 | 12 | | 33 | 9 | | 34 | 37 | | 35 | 9 | | 36 | 9 | | 37 | 24 | | 38 | 22 | | 39 | 5 | | 40 | 4 | | 41 | 18 | | 42 | 9 | | 43 | 14 | | 44 | 5 | | 45 | 6 | | 46 | 11 | | 47 | 5 | | 48 | 18 | | 49 | 7 |
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| 54.26% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.3829787234042553 | | totalSentences | 94 | | uniqueOpeners | 36 | |
| 91.32% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 73 | | matches | | 0 | "Then the knock again, sharper" | | 1 | "Then the woman stepped inside," |
| | ratio | 0.027 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 73 | | matches | | 0 | "She'd taken the long route" | | 1 | "Her feet ached." | | 2 | "Her back ached." | | 3 | "He didn't look up from" | | 4 | "He'd added a few more" | | 5 | "It was easy to stop" | | 6 | "She climbed the narrow stairs" | | 7 | "Her keys were already in" | | 8 | "She waited a moment, listening" | | 9 | "She made her way back" | | 10 | "Her dark eyes were lined" | | 11 | "Her hair was shorter than" | | 12 | "She wore a gold bracelet" | | 13 | "She glanced around The Raven's" | | 14 | "It wasn't a question." | | 15 | "She slid into the booth" | | 16 | "She remembered sitting in Eva's" | | 17 | "Her perfect composure wavered, just" | | 18 | "It was, Rory thought, the" | | 19 | "It was also the cruelest." |
| | ratio | 0.288 | |
| 7.95% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 73 | | matches | | 0 | "# The Weight of Years" | | 1 | "Rory pushed through the heavy" | | 2 | "She'd taken the long route" | | 3 | "Her feet ached." | | 4 | "Her back ached." | | 5 | "Everything ached these days." | | 6 | "Silas was behind the bar," | | 7 | "He didn't look up from" | | 8 | "The silver signet ring on" | | 9 | "He'd added a few more" | | 10 | "It was easy to stop" | | 11 | "She climbed the narrow stairs" | | 12 | "Her keys were already in" | | 13 | "The knock came just as" | | 14 | "Rory opened it again, expecting" | | 15 | "She waited a moment, listening" | | 16 | "She made her way back" | | 17 | "The bar was nearly empty" | | 18 | "Silas was nowhere to be" | | 19 | "A woman stood in the" |
| | ratio | 0.904 | |
| 68.49% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 73 | | matches | | 0 | "Before everything had changed." |
| | ratio | 0.014 | |
| 89.29% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 3 | | matches | | 0 | "She'd taken the long route home from the restaurant, needing to walk off the kind of exhaustion that didn't respond to sleep." | | 1 | "Silas was behind the bar, moving with the measured precision of a man who'd learned long ago to waste no motion." | | 2 | "The interruption seemed to genuinely annoy her, which was somehow worse than if she'd simply dismissed it." |
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| 89.29% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 1 | | matches | | 0 | "Eva finished, not unkindly" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 31 | | tagDensity | 0.226 | | leniency | 0.452 | | rawRatio | 0 | | effectiveRatio | 0 | |