| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 2 | | adverbTags | | 0 | "she echoed back [back]" | | 1 | "Michael said softly [softly]" |
| | dialogueSentences | 14 | | tagDensity | 0.643 | | leniency | 1 | | rawRatio | 0.222 | | effectiveRatio | 0.222 | |
| 48.10% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 578 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "completely" | | 1 | "slightly" | | 2 | "suddenly" | | 3 | "carefully" | | 4 | "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) | |
| 30.80% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 578 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "flickered" | | 1 | "echoed" | | 2 | "measured" | | 3 | "silence" | | 4 | "potential" | | 5 | "tension" | | 6 | "constructed" |
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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 | 66 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 66 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 71 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 571 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 521 | | uniqueNames | 7 | | maxNameDensity | 0.77 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Michael" | | discoveredNames | | Rory | 4 | | Raven | 1 | | Nest | 1 | | Reese | 1 | | Blackwood | 1 | | Silas | 3 | | Michael | 4 |
| | persons | | 0 | "Rory" | | 1 | "Raven" | | 2 | "Nest" | | 3 | "Reese" | | 4 | "Blackwood" | | 5 | "Silas" | | 6 | "Michael" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 34 | | 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 | 571 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 71 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 19.69 | | std | 12.55 | | cv | 0.637 | | sampleLengths | | 0 | 49 | | 1 | 9 | | 2 | 43 | | 3 | 11 | | 4 | 30 | | 5 | 4 | | 6 | 13 | | 7 | 7 | | 8 | 32 | | 9 | 9 | | 10 | 12 | | 11 | 27 | | 12 | 38 | | 13 | 16 | | 14 | 42 | | 15 | 13 | | 16 | 24 | | 17 | 14 | | 18 | 19 | | 19 | 7 | | 20 | 9 | | 21 | 30 | | 22 | 8 | | 23 | 6 | | 24 | 23 | | 25 | 16 | | 26 | 31 | | 27 | 5 | | 28 | 24 |
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| 94.63% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 66 | | matches | | 0 | "being asked" | | 1 | "been groomed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 87 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 71 | | ratio | 0.07 | | matches | | 0 | "The Raven's Nest always smelled the same—whiskey and wood polish, a hint of smoke trapped in decades-old wallpaper covered with faded maps and forgotten photographs." | | 1 | "He looked different—thinner, harder, the soft collegiate edges of their university days completely sanded away." | | 2 | "\"Aurora,\" he returned, his voice unchanged—precise, controlled." | | 3 | "Their shared history—university debates, late-night conversations about changing the world, the passionate idealism of youth—felt suddenly distant." | | 4 | "The small crescent-shaped scar on her left wrist—a childhood remnant—caught the green neon light." |
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| 86.16% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 531 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 26 | | adverbRatio | 0.04896421845574388 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.015065913370998116 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 71 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 71 | | mean | 8.04 | | std | 6.39 | | cv | 0.794 | | sampleLengths | | 0 | 24 | | 1 | 25 | | 2 | 9 | | 3 | 2 | | 4 | 15 | | 5 | 15 | | 6 | 10 | | 7 | 1 | | 8 | 3 | | 9 | 8 | | 10 | 30 | | 11 | 4 | | 12 | 5 | | 13 | 3 | | 14 | 3 | | 15 | 2 | | 16 | 7 | | 17 | 21 | | 18 | 11 | | 19 | 9 | | 20 | 6 | | 21 | 4 | | 22 | 2 | | 23 | 9 | | 24 | 17 | | 25 | 1 | | 26 | 14 | | 27 | 24 | | 28 | 5 | | 29 | 4 | | 30 | 4 | | 31 | 3 | | 32 | 20 | | 33 | 7 | | 34 | 1 | | 35 | 14 | | 36 | 13 | | 37 | 8 | | 38 | 3 | | 39 | 13 | | 40 | 10 | | 41 | 4 | | 42 | 6 | | 43 | 13 | | 44 | 4 | | 45 | 3 | | 46 | 9 | | 47 | 6 | | 48 | 6 | | 49 | 3 |
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| 74.65% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.5070422535211268 | | totalSentences | 71 | | uniqueOpeners | 36 | |
| 64.10% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 52 | | matches | | 0 | "More like an observation." |
| | ratio | 0.019 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 52 | | matches | | 0 | "She'd barely taken two steps" | | 1 | "He looked different—thinner, harder, the" | | 2 | "His hands, once soft from" | | 3 | "Their eyes met." | | 4 | "He lifted his glass slightly." | | 5 | "he returned, his voice unchanged—precise," | | 6 | "She slid onto the stool" | | 7 | "Their shared history—university debates, late-night" | | 8 | "She nodded her thanks, a" | | 9 | "Her black hair, straight and" | | 10 | "she echoed back to him," | | 11 | "She knew what he wasn't" | | 12 | "Their shared hope." |
| | ratio | 0.25 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 36 | | totalSentences | 52 | | matches | | 0 | "The green neon sign flickered" | | 1 | "The Raven's Nest always smelled" | | 2 | "She'd barely taken two steps" | | 3 | "He looked different—thinner, harder, the" | | 4 | "His hands, once soft from" | | 5 | "Their eyes met." | | 6 | "Silas Blackwood, the bar's owner," | | 7 | "He lifted his glass slightly." | | 8 | "he returned, his voice unchanged—precise," | | 9 | "She slid onto the stool" | | 10 | "The bartop between them might" | | 11 | "A slight shift in his" | | 12 | "The words hung between them," | | 13 | "Their shared history—university debates, late-night" | | 14 | "Silas placed a glass of" | | 15 | "She nodded her thanks, a" | | 16 | "A clinical assessment." | | 17 | "Her black hair, straight and" | | 18 | "The bright blue eyes were" | | 19 | "The small crescent-shaped scar on" |
| | ratio | 0.692 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 52 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 20 | | technicalSentenceCount | 1 | | matches | | 0 | "Silas Blackwood, the bar's owner, watched the exchange from behind the bar, his hazel eyes tracking between them with the practiced neutrality of someone who'd …" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |