| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 29 | | tagDensity | 0.207 | | leniency | 0.414 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 652 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 30.98% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 652 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "reminder" | | 1 | "glinting" | | 2 | "familiar" | | 3 | "silence" | | 4 | "flicked" | | 5 | "weight" | | 6 | "pulse" | | 7 | "flickered" |
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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 | 1 | | narrationSentences | 59 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 59 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 82 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 7 | | markdownWords | 32 | | totalWords | 644 | | ratio | 0.05 | | matches | | 0 | "thud" | | 1 | "Run, and don’t look back." | | 2 | "Why didn’t you call?" | | 3 | "Why didn’t you come back?" | | 4 | "Did you ever think about me?" | | 5 | "what happened to you?" | | 6 | "what did we do to each other?" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 89.88% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 12 | | wordCount | 499 | | uniqueNames | 6 | | maxNameDensity | 1.2 | | worstName | "Silas" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Silas" | | discoveredNames | | Rory | 2 | | Blackwood | 1 | | Raven | 1 | | Nest | 1 | | Silas | 6 | | Prague | 1 |
| | persons | | 0 | "Rory" | | 1 | "Blackwood" | | 2 | "Raven" | | 3 | "Nest" | | 4 | "Silas" |
| | places | | | globalScore | 0.899 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 26 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 44.72% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.553 | | wordCount | 644 | | matches | | 0 | "Not the grizzled operative from her memories, but a man who carried himself like he’d traded bullets for board" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 82 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 17.89 | | std | 16.15 | | cv | 0.903 | | sampleLengths | | 0 | 55 | | 1 | 2 | | 2 | 63 | | 3 | 7 | | 4 | 11 | | 5 | 12 | | 6 | 63 | | 7 | 15 | | 8 | 21 | | 9 | 14 | | 10 | 15 | | 11 | 2 | | 12 | 8 | | 13 | 12 | | 14 | 44 | | 15 | 12 | | 16 | 14 | | 17 | 12 | | 18 | 15 | | 19 | 13 | | 20 | 3 | | 21 | 32 | | 22 | 35 | | 23 | 11 | | 24 | 1 | | 25 | 6 | | 26 | 39 | | 27 | 8 | | 28 | 16 | | 29 | 11 | | 30 | 8 | | 31 | 10 | | 32 | 10 | | 33 | 10 | | 34 | 7 | | 35 | 27 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 59 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 101 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 82 | | ratio | 0.098 | | matches | | 0 | "His auburn hair—once wild, unruly—was now streaked with silver, combed back with the precision of someone who’d learned the value of appearances." | | 1 | "The Raven’s Nest hadn’t changed—same green neon sign flickering outside, same scent of aged leather and cheaper perfume clinging to the air." | | 2 | "“Part-time.” She matched his tone—cool, detached." | | 3 | "Because the truth was a knot in her chest, tangled with the memory of a younger Silas—leaning against a rain-slicked car in Prague, pressing a burner phone into her palm, his voice rough with urgency: *Run, and don’t look back.*" | | 4 | "His gaze flicked to her wrist—the scar peeking out from under her sleeve." | | 5 | "It was a graveyard of unsaid things—*Why didn’t you call?* *Why didn’t you come back?* *Did you ever think about me?*—all rotting just beneath the surface." | | 6 | "Something flickered in his eyes—regret?" | | 7 | "Because the real question wasn’t *what happened to you?*—it was *what did we do to each other?* And neither of them was brave enough to ask it." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 507 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.029585798816568046 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0039447731755424065 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 82 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 82 | | mean | 7.85 | | std | 6.83 | | cv | 0.87 | | sampleLengths | | 0 | 15 | | 1 | 14 | | 2 | 3 | | 3 | 2 | | 4 | 21 | | 5 | 2 | | 6 | 20 | | 7 | 22 | | 8 | 4 | | 9 | 17 | | 10 | 2 | | 11 | 5 | | 12 | 4 | | 13 | 7 | | 14 | 3 | | 15 | 9 | | 16 | 7 | | 17 | 22 | | 18 | 22 | | 19 | 5 | | 20 | 7 | | 21 | 9 | | 22 | 6 | | 23 | 6 | | 24 | 5 | | 25 | 10 | | 26 | 7 | | 27 | 7 | | 28 | 6 | | 29 | 9 | | 30 | 2 | | 31 | 8 | | 32 | 5 | | 33 | 7 | | 34 | 3 | | 35 | 1 | | 36 | 40 | | 37 | 5 | | 38 | 7 | | 39 | 5 | | 40 | 9 | | 41 | 12 | | 42 | 13 | | 43 | 2 | | 44 | 7 | | 45 | 6 | | 46 | 3 | | 47 | 6 | | 48 | 26 | | 49 | 10 |
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| 90.24% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.5487804878048781 | | totalSentences | 82 | | uniqueOpeners | 45 | |
| 62.89% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 53 | | matches | | 0 | "Then his phone buzzed." |
| | ratio | 0.019 | |
| 53.96% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 53 | | matches | | 0 | "It hit the floor with" | | 1 | "She didn’t flinch." | | 2 | "His auburn hair—once wild, unruly—was" | | 3 | "Her throat tightened." | | 4 | "He was a stranger wearing" | | 5 | "he said, swirling his drink" | | 6 | "She exhaled through her nose." | | 7 | "He took a sip, considered" | | 8 | "She matched his tone—cool, detached" | | 9 | "She didn’t answer." | | 10 | "His gaze flicked to her" | | 11 | "She tugged the fabric down" | | 12 | "It was a graveyard of" | | 13 | "Her fingers twitched toward her" | | 14 | "She met his stare." | | 15 | "They were twenty again, playing" | | 16 | "He glanced at the screen," | | 17 | "he murmured, sliding off the" | | 18 | "His pulse was steady." | | 19 | "She released him." |
| | ratio | 0.415 | |
| 44.91% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 44 | | totalSentences | 53 | | matches | | 0 | "The glass slipped through Rory’s" | | 1 | "It hit the floor with" | | 2 | "She didn’t flinch." | | 3 | "His auburn hair—once wild, unruly—was" | | 4 | "The limp was new." | | 5 | "Hazel eyes locked onto hers." | | 6 | "A slow, knowing smile." | | 7 | "Her throat tightened." | | 8 | "The bartender slid her a" | | 9 | "Silas took the stool beside" | | 10 | "The Raven’s Nest hadn’t changed—same" | | 11 | "He was a stranger wearing" | | 12 | "he said, swirling his drink" | | 13 | "The name hit like a" | | 14 | "She exhaled through her nose." | | 15 | "He took a sip, considered" | | 16 | "She matched his tone—cool, detached" | | 17 | "That earned a low chuckle." | | 18 | "She didn’t answer." | | 19 | "The bar’s jukebox switched tracks." |
| | ratio | 0.83 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 53 | | matches | | 0 | "Because across the bar, adjusting" | | 1 | "Because the truth was a" | | 2 | "Because the real question wasn’t" |
| | ratio | 0.057 | |
| 98.21% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 16 | | technicalSentenceCount | 1 | | matches | | 0 | "His auburn hair—once wild, unruly—was now streaked with silver, combed back with the precision of someone who’d learned the value of appearances." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 29 | | tagDensity | 0.069 | | leniency | 0.138 | | rawRatio | 0.5 | | effectiveRatio | 0.069 | |