| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 15 | | tagDensity | 0.6 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 702 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 14.53% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 702 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "pulse" | | 1 | "scanned" | | 2 | "familiar" | | 3 | "palpable" | | 4 | "loomed" | | 5 | "beacon" | | 6 | "gloom" | | 7 | "flickered" | | 8 | "dancing" | | 9 | "echoed" |
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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 | 40 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 40 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 45 | | 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 | 695 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 86.71% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 553 | | uniqueNames | 9 | | maxNameDensity | 1.27 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 7 | | Morris | 1 | | Soho | 1 | | Herrera | 1 | | Raven | 1 | | Nest | 1 | | Veil | 1 | | Market | 1 | | Tomás | 3 |
| | persons | | 0 | "Quinn" | | 1 | "Morris" | | 2 | "Herrera" | | 3 | "Raven" | | 4 | "Nest" | | 5 | "Tomás" |
| | places | | | globalScore | 0.867 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 35 | | 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 | 695 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 45 | | matches | (empty) | |
| 99.22% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 13 | | mean | 53.46 | | std | 26.58 | | cv | 0.497 | | sampleLengths | | 0 | 79 | | 1 | 32 | | 2 | 72 | | 3 | 38 | | 4 | 39 | | 5 | 85 | | 6 | 15 | | 7 | 50 | | 8 | 3 | | 9 | 67 | | 10 | 91 | | 11 | 78 | | 12 | 46 |
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| 87.72% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 40 | | matches | | 0 | "was deserted" | | 1 | "was plunged" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 76 | | matches | (empty) | |
| 79.37% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 45 | | ratio | 0.022 | | matches | | 0 | "The air hummed with a low, resonant frequency, thick with the scent of ozone, incense, and something else—something primal and dangerous." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 560 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 13 | | adverbRatio | 0.023214285714285715 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.01607142857142857 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 45 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 45 | | mean | 15.44 | | std | 7.38 | | cv | 0.478 | | sampleLengths | | 0 | 24 | | 1 | 20 | | 2 | 14 | | 3 | 21 | | 4 | 14 | | 5 | 18 | | 6 | 3 | | 7 | 22 | | 8 | 32 | | 9 | 15 | | 10 | 38 | | 11 | 22 | | 12 | 17 | | 13 | 15 | | 14 | 16 | | 15 | 13 | | 16 | 13 | | 17 | 12 | | 18 | 3 | | 19 | 13 | | 20 | 8 | | 21 | 7 | | 22 | 16 | | 23 | 20 | | 24 | 14 | | 25 | 3 | | 26 | 25 | | 27 | 14 | | 28 | 8 | | 29 | 9 | | 30 | 11 | | 31 | 12 | | 32 | 8 | | 33 | 4 | | 34 | 23 | | 35 | 21 | | 36 | 23 | | 37 | 14 | | 38 | 12 | | 39 | 20 | | 40 | 8 | | 41 | 9 | | 42 | 15 | | 43 | 24 | | 44 | 22 |
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| 40.74% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.3111111111111111 | | totalSentences | 45 | | uniqueOpeners | 14 | |
| 83.33% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 40 | | matches | | 0 | "Instead of rain-slicked streets, she" |
| | ratio | 0.025 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 8 | | totalSentences | 40 | | matches | | 0 | "Her worn leather watch ticked" | | 1 | "Her boots splashed through a" | | 2 | "She scanned the grimy brick" | | 3 | "She scanned the room, her" | | 4 | "She pushed the bookshelf aside," | | 5 | "She started down the stairs," | | 6 | "She pushed the door open" | | 7 | "She took a step forward," |
| | ratio | 0.2 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 37 | | totalSentences | 40 | | matches | | 0 | "The rain lashed againstthe pavement," | | 1 | "Her worn leather watch ticked" | | 2 | "DS Morris’s ghost haunted her" | | 3 | "The suspect, a ghost himself," | | 4 | "Tomás Herrera’s voice crackled over" | | 5 | "Quinn didn’t slow." | | 6 | "Her boots splashed through a" | | 7 | "She scanned the grimy brick" | | 8 | "A flickering neon sign, a" | | 9 | "Tomás’s concern was palpable, a" | | 10 | "Quinn’s voice was a low" | | 11 | "The Raven’s Nest loomed ahead," | | 12 | "Quinn pushed through the heavy" | | 13 | "The bar was deserted, the" | | 14 | "She scanned the room, her" | | 15 | "A loose panel, just large" | | 16 | "The secret room." | | 17 | "The suspect’s trail vanished into" | | 18 | "Tomás said, his voice tight" | | 19 | "Quinn replied, her hand drifting" |
| | ratio | 0.925 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 40 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 3 | | matches | | 0 | "Tomás said, his voice tight" | | 1 | "Quinn replied, her hand drifting to the handle of her service revolver" | | 2 | "Quinn whispered, her breath fogging in the cold air" |
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| 83.33% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | 0 | "Quinn whispered (whisper)" |
| | dialogueSentences | 15 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.333 | | effectiveRatio | 0.133 | |