| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 23 | | tagDensity | 0.435 | | leniency | 0.87 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 78.32% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1153 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "cautiously" | | 1 | "utterly" | | 2 | "really" |
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| 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) | |
| 47.96% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1153 | | totalAiIsms | 12 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | word | "the last thing" | | count | 1 |
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| | highlights | | 0 | "echoed" | | 1 | "weight" | | 2 | "scanning" | | 3 | "tapestry" | | 4 | "gloom" | | 5 | "dancing" | | 6 | "echoing" | | 7 | "silence" | | 8 | "shimmered" | | 9 | "determined" | | 10 | "gleaming" | | 11 | "the last thing" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
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| | highlights | | 0 | "eyes widened" | | 1 | "hung in the air" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 92 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 92 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 105 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1144 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 56.22% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 1013 | | uniqueNames | 15 | | maxNameDensity | 1.88 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Soho | 1 | | Vietnamese | 1 | | Quinn | 19 | | London | 2 | | Camden | 1 | | Veil | 2 | | Market | 3 | | Morris | 1 | | Tomás | 4 | | Herrera | 2 | | Spanish | 1 | | Saint | 1 | | Christopher | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Market" | | 2 | "Morris" | | 3 | "Tomás" | | 4 | "Herrera" | | 5 | "Saint" | | 6 | "Christopher" |
| | places | | 0 | "Raven" | | 1 | "Soho" | | 2 | "London" | | 3 | "Camden" |
| | globalScore | 0.562 | | windowScore | 0.667 | |
| 81.51% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 73 | | glossingSentenceCount | 2 | | matches | | 0 | "something like ozone and decay mixed with ex" | | 1 | "hand against a seemingly solid section of br" |
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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 | 1144 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 105 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 29.33 | | std | 17.95 | | cv | 0.612 | | sampleLengths | | 0 | 48 | | 1 | 11 | | 2 | 47 | | 3 | 16 | | 4 | 14 | | 5 | 58 | | 6 | 7 | | 7 | 49 | | 8 | 50 | | 9 | 47 | | 10 | 22 | | 11 | 54 | | 12 | 44 | | 13 | 38 | | 14 | 19 | | 15 | 7 | | 16 | 52 | | 17 | 62 | | 18 | 6 | | 19 | 34 | | 20 | 45 | | 21 | 15 | | 22 | 20 | | 23 | 18 | | 24 | 17 | | 25 | 20 | | 26 | 62 | | 27 | 4 | | 28 | 55 | | 29 | 34 | | 30 | 29 | | 31 | 13 | | 32 | 18 | | 33 | 13 | | 34 | 6 | | 35 | 16 | | 36 | 12 | | 37 | 34 | | 38 | 28 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 92 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 191 | | matches | | 0 | "was leading" | | 1 | "was scrambling" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 105 | | ratio | 0.067 | | matches | | 0 | "The suspect—some skinny kid with more piercings than sense—glanced back, eyes wide with panic." | | 1 | "The underground supernatural market—rumored, whispered about in the darkest corners of her investigations, but never proven." | | 2 | "The air that rushed out to meet her was thick and ancient, carrying scents she couldn't identify—something like ozone and decay mixed with exotic spices." | | 3 | "Movement ahead—the kid, vanishing down a corridor that shouldn't exist on any official tube map." | | 4 | "The air grew warmer, carrying the unmistakable scent of magic—like static electricity before a storm." | | 5 | "She recognized him from his file—former paramedic, lost his license treating supernatural patients." | | 6 | "As she closed the distance, she noticed the package he'd handed over—a small glass vial filled with an iridescent liquid." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1022 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.02446183953033268 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.015655577299412915 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 105 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 105 | | mean | 10.9 | | std | 5.73 | | cv | 0.526 | | sampleLengths | | 0 | 11 | | 1 | 17 | | 2 | 20 | | 3 | 11 | | 4 | 14 | | 5 | 16 | | 6 | 17 | | 7 | 3 | | 8 | 13 | | 9 | 7 | | 10 | 7 | | 11 | 12 | | 12 | 15 | | 13 | 12 | | 14 | 17 | | 15 | 2 | | 16 | 7 | | 17 | 13 | | 18 | 10 | | 19 | 9 | | 20 | 17 | | 21 | 11 | | 22 | 10 | | 23 | 2 | | 24 | 20 | | 25 | 7 | | 26 | 12 | | 27 | 14 | | 28 | 5 | | 29 | 13 | | 30 | 3 | | 31 | 3 | | 32 | 16 | | 33 | 3 | | 34 | 6 | | 35 | 17 | | 36 | 7 | | 37 | 20 | | 38 | 4 | | 39 | 11 | | 40 | 25 | | 41 | 8 | | 42 | 12 | | 43 | 11 | | 44 | 15 | | 45 | 12 | | 46 | 7 | | 47 | 5 | | 48 | 2 | | 49 | 14 |
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| 65.08% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.41904761904761906 | | totalSentences | 105 | | uniqueOpeners | 44 | |
| 37.88% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 88 | | matches | | 0 | "Exactly the kind of person" |
| | ratio | 0.011 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 88 | | matches | | 0 | "Her voice echoed off brick" | | 1 | "He ducked under a half-raised" | | 2 | "Her radio crackled." | | 3 | "she panted into her shoulder" | | 4 | "she muttered, scanning the shadows" | | 5 | "Her lungs burned, but eighteen" | | 6 | "She descended cautiously, hand on" | | 7 | "She bent down, examining a" | | 8 | "Her breath caught." | | 9 | "Her fingers tightened around the" | | 10 | "She slipped through the gap," | | 11 | "She rounded a corner and" | | 12 | "It was real." | | 13 | "She started forward, but a" | | 14 | "she said, turning to face" | | 15 | "She recognized him from his" | | 16 | "She gestured toward the suspect" | | 17 | "She kept her focus on" | | 18 | "It shimmered, revealing another hidden" | | 19 | "They tumbled through the opening," |
| | ratio | 0.273 | |
| 28.18% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 76 | | totalSentences | 88 | | matches | | 0 | "The suspect vaulted a rusted" | | 1 | "Quinn followed, her leather watch" | | 2 | "Her voice echoed off brick" | | 3 | "The suspect—some skinny kid with" | | 4 | "He ducked under a half-raised" | | 5 | "The smell of stale cooking" | | 6 | "Her radio crackled." | | 7 | "she panted into her shoulder" | | 8 | "The kid scrambled up a" | | 9 | "Quinn took the stairs two" | | 10 | "Quinn hauled herself onto the" | | 11 | "she muttered, scanning the shadows" | | 12 | "London stretched out around her," | | 13 | "The kid was scrambling across" | | 14 | "Quinn followed, maintaining distance but" | | 15 | "Her lungs burned, but eighteen" | | 16 | "Quinn paused at the edge," | | 17 | "She descended cautiously, hand on" | | 18 | "The kid was nowhere to" | | 19 | "Quinn approached the entrance cautiously," |
| | ratio | 0.864 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 88 | | matches | (empty) | | ratio | 0 | |
| 99.13% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 3 | | matches | | 0 | "The air that rushed out to meet her was thick and ancient, carrying scents she couldn't identify—something like ozone and decay mixed with exotic spices." | | 1 | "Movement ahead—the kid, vanishing down a corridor that shouldn't exist on any official tube map." | | 2 | "The corridor opened into a vast cavern, transformed into a bustling marketplace that shouldn't exist in the heart of London." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 3 | | matches | | 0 | "Quinn called out, her voice echoing in the cavernous space" | | 1 | "Tomás said, his Spanish accent soft but discernible" | | 2 | "the suspect said, his voice trembling but determined" |
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| 19.57% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 3 | | fancyTags | | 0 | "she panted (pant)" | | 1 | "she muttered (mutter)" | | 2 | "Quinn called out (call out)" |
| | dialogueSentences | 23 | | tagDensity | 0.261 | | leniency | 0.522 | | rawRatio | 0.5 | | effectiveRatio | 0.261 | |