| 66.67% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 1 | | adverbTags | | 0 | "Morris said quietly [quietly]" |
| | dialogueSentences | 15 | | tagDensity | 0.267 | | leniency | 0.533 | | rawRatio | 0.25 | | effectiveRatio | 0.133 | |
| 83.87% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 620 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 51.61% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 620 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "pulsed" | | 1 | "structure" | | 2 | "flickered" | | 3 | "raced" | | 4 | "vibrated" |
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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 | 48 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 48 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 58 | | 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 | 4 | | markdownWords | 4 | | totalWords | 613 | | ratio | 0.007 | | matches | | 0 | "wrong" | | 1 | "down" | | 2 | "else" | | 3 | "hidden" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 45.40% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 478 | | uniqueNames | 7 | | maxNameDensity | 2.09 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Harlow | 1 | | Quinn | 10 | | Veil | 2 | | Market | 2 | | Morris | 6 | | London | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Market" | | 3 | "Morris" |
| | places | | | globalScore | 0.454 | | windowScore | 0.667 | |
| 74.24% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 33 | | glossingSentenceCount | 1 | | matches | | |
| 36.87% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.631 | | wordCount | 613 | | matches | | 0 | "not for the usual reasons of convenience or secrecy, but because of something *else*" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 58 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 17 | | mean | 36.06 | | std | 23.15 | | cv | 0.642 | | sampleLengths | | 0 | 81 | | 1 | 84 | | 2 | 2 | | 3 | 64 | | 4 | 45 | | 5 | 14 | | 6 | 28 | | 7 | 52 | | 8 | 18 | | 9 | 22 | | 10 | 19 | | 11 | 42 | | 12 | 50 | | 13 | 10 | | 14 | 30 | | 15 | 25 | | 16 | 27 |
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| 90.64% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 48 | | matches | | 0 | "been pressed" | | 1 | "was *hidden" |
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| 29.06% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 78 | | matches | | 0 | "wasn’t pointing" | | 1 | "was pointing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 58 | | ratio | 0.086 | | matches | | 0 | "The air smelled of damp earth and something older—something *wrong*." | | 1 | "The evidence was there—scattered, but unmistakable." | | 2 | "Her eyes were wide, her usual confidence replaced by something raw—fear, maybe, or something deeper." | | 3 | "The needle—if it was a needle—wasn’t pointing north." | | 4 | "And this time, it had chosen this station—not for the usual reasons of convenience or secrecy, but because of something *else*." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 487 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 13 | | adverbRatio | 0.026694045174537988 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.008213552361396304 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 58 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 58 | | mean | 10.57 | | std | 6.12 | | cv | 0.579 | | sampleLengths | | 0 | 22 | | 1 | 26 | | 2 | 10 | | 3 | 17 | | 4 | 6 | | 5 | 18 | | 6 | 12 | | 7 | 19 | | 8 | 6 | | 9 | 12 | | 10 | 11 | | 11 | 2 | | 12 | 2 | | 13 | 2 | | 14 | 2 | | 15 | 19 | | 16 | 18 | | 17 | 15 | | 18 | 5 | | 19 | 7 | | 20 | 19 | | 21 | 26 | | 22 | 3 | | 23 | 11 | | 24 | 4 | | 25 | 7 | | 26 | 17 | | 27 | 10 | | 28 | 10 | | 29 | 14 | | 30 | 8 | | 31 | 10 | | 32 | 6 | | 33 | 12 | | 34 | 12 | | 35 | 10 | | 36 | 5 | | 37 | 14 | | 38 | 3 | | 39 | 12 | | 40 | 21 | | 41 | 6 | | 42 | 9 | | 43 | 13 | | 44 | 11 | | 45 | 5 | | 46 | 4 | | 47 | 8 | | 48 | 6 | | 49 | 4 |
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| 47.70% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.3275862068965517 | | totalSentences | 58 | | uniqueOpeners | 19 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 45 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 11 | | totalSentences | 45 | | matches | | 0 | "She moved through the dim" | | 1 | "Her watch, worn leather and" | | 2 | "Her eyes were wide, her" | | 3 | "She gestured to the locket" | | 4 | "She’d heard rumors, but she’d" | | 5 | "It was pointing *down*, toward" | | 6 | "She knelt, brushing the dirt" | | 7 | "She picked it up, running" | | 8 | "It wasn’t just a feather." | | 9 | "It was a key." | | 10 | "It was *hidden*." |
| | ratio | 0.244 | |
| 26.67% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 39 | | totalSentences | 45 | | matches | | 0 | "The flickering neon glow of" | | 1 | "Detective Harlow Quinn adjusted the" | | 2 | "The air smelled of damp" | | 3 | "The bone token she’d slipped" | | 4 | "She moved through the dim" | | 5 | "The station’s doors were sealed" | | 6 | "Her watch, worn leather and" | | 7 | "The evidence was there—scattered, but" | | 8 | "A single silver locket, its" | | 9 | "Quinn turned at the sound" | | 10 | "Her eyes were wide, her" | | 11 | "Quinn said, voice low" | | 12 | "Morris hesitated, tucking a strand" | | 13 | "Quinn’s jaw tightened." | | 14 | "Morris shook her head." | | 15 | "She gestured to the locket" | | 16 | "Quinn’s voice was a blade" | | 17 | "She’d heard rumors, but she’d" | | 18 | "The brass casing gleamed faintly" | | 19 | "The needle—if it was a" |
| | ratio | 0.867 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 45 | | matches | (empty) | | ratio | 0 | |
| 85.71% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 2 | | matches | | 0 | "Morris hesitated, tucking a strand of dark hair behind her ear, her freckles standing out against her pale skin." | | 1 | "The black feather was still there, pressed against the glass, as if waiting." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 2 | | matches | | 0 | "Quinn said, voice low" | | 1 | "Morris said, her voice urgent" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 15 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0 | | effectiveRatio | 0 | |