| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 24 | | tagDensity | 0.292 | | leniency | 0.583 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.92% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1238 | | 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) | |
| 31.34% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1238 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "weight" | | 1 | "familiar" | | 2 | "silence" | | 3 | "flickered" | | 4 | "dancing" | | 5 | "gleaming" | | 6 | "chill" | | 7 | "intensity" | | 8 | "standard" | | 9 | "whisper" | | 10 | "could feel" | | 11 | "tracing" | | 12 | "depths" |
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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 | 87 | | matches | (empty) | |
| 77.18% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 1 | | narrationSentences | 87 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 104 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1234 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 79.65% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 995 | | uniqueNames | 12 | | maxNameDensity | 1.41 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 2 | | Harlow | 1 | | Quinn | 14 | | Glock | 1 | | Morris | 5 | | Tube | 1 | | Saint | 1 | | Christopher | 1 | | Spanish | 1 | | Market | 2 | | London | 1 | | Tomás | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Saint" | | 4 | "Christopher" | | 5 | "Market" | | 6 | "Tomás" |
| | places | | | globalScore | 0.796 | | windowScore | 0.833 | |
| 39.71% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | glossingSentenceCount | 3 | | matches | | 0 | "as if considering the command, then they took off again, sprinting toward a recessed doorway at the courtyard's far wall" | | 1 | "looked like an abandoned Tube station, bu" | | 2 | "as if confirming something he'd already suspected" |
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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 | 1234 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 104 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 22.85 | | std | 16.16 | | cv | 0.707 | | sampleLengths | | 0 | 40 | | 1 | 15 | | 2 | 3 | | 3 | 7 | | 4 | 41 | | 5 | 47 | | 6 | 39 | | 7 | 20 | | 8 | 9 | | 9 | 37 | | 10 | 3 | | 11 | 3 | | 12 | 28 | | 13 | 6 | | 14 | 49 | | 15 | 7 | | 16 | 41 | | 17 | 17 | | 18 | 40 | | 19 | 33 | | 20 | 10 | | 21 | 3 | | 22 | 70 | | 23 | 38 | | 24 | 5 | | 25 | 37 | | 26 | 23 | | 27 | 13 | | 28 | 19 | | 29 | 14 | | 30 | 40 | | 31 | 7 | | 32 | 7 | | 33 | 28 | | 34 | 14 | | 35 | 8 | | 36 | 38 | | 37 | 3 | | 38 | 40 | | 39 | 19 | | 40 | 5 | | 41 | 48 | | 42 | 1 | | 43 | 11 | | 44 | 39 | | 45 | 31 | | 46 | 29 | | 47 | 28 | | 48 | 4 | | 49 | 42 |
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| 97.20% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 87 | | matches | | 0 | "been made" | | 1 | "been replaced" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 179 | | matches | (empty) | |
| 60.44% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 104 | | ratio | 0.029 | | matches | | 0 | "She caught a flash of movement—a dark figure ducking into an alley fifty yards ahead." | | 1 | "This courtyard—with its cracked flagstones and dead potted plants—didn't belong." | | 2 | "The air that drifted up smelled wrong—like ozone and old copper and something floral she couldn't place." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1000 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.019 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.005 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 104 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 104 | | mean | 11.87 | | std | 6.89 | | cv | 0.58 | | sampleLengths | | 0 | 19 | | 1 | 21 | | 2 | 15 | | 3 | 3 | | 4 | 4 | | 5 | 3 | | 6 | 10 | | 7 | 15 | | 8 | 16 | | 9 | 21 | | 10 | 8 | | 11 | 18 | | 12 | 1 | | 13 | 3 | | 14 | 13 | | 15 | 12 | | 16 | 10 | | 17 | 10 | | 18 | 10 | | 19 | 9 | | 20 | 24 | | 21 | 13 | | 22 | 3 | | 23 | 3 | | 24 | 6 | | 25 | 12 | | 26 | 10 | | 27 | 6 | | 28 | 7 | | 29 | 12 | | 30 | 17 | | 31 | 13 | | 32 | 7 | | 33 | 12 | | 34 | 12 | | 35 | 17 | | 36 | 17 | | 37 | 16 | | 38 | 10 | | 39 | 14 | | 40 | 9 | | 41 | 15 | | 42 | 9 | | 43 | 10 | | 44 | 3 | | 45 | 20 | | 46 | 28 | | 47 | 11 | | 48 | 11 | | 49 | 13 |
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| 61.54% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.40384615384615385 | | totalSentences | 104 | | uniqueOpeners | 42 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 82 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 82 | | matches | | 0 | "She caught a flash of" | | 1 | "They never did." | | 2 | "She blinked against the rain," | | 3 | "She knew every alley, every" | | 4 | "They didn't stop." | | 5 | "It opened onto a set" | | 6 | "They'd called it a mental" | | 7 | "She adjusted her grip on" | | 8 | "Her boots scraped against stone" | | 9 | "She stood on a platform" | | 10 | "They all moved with a" | | 11 | "he said, his voice low" | | 12 | "He had the look of" | | 13 | "He pointed to the faint" | | 14 | "She didn't answer." | | 15 | "She'd never told this man" | | 16 | "She could go back." | | 17 | "Her gun was a solid" | | 18 | "He pointed toward a narrow" | | 19 | "She thought of Morris." |
| | ratio | 0.256 | |
| 14.88% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 82 | | matches | | 0 | "The rain came down in" | | 1 | "Detective Harlow Quinn's boots slapped" | | 2 | "She caught a flash of" | | 3 | "The figure didn't stop." | | 4 | "They never did." | | 5 | "Quinn pushed harder, her leather" | | 6 | "The alley swallowed her whole," | | 7 | "She blinked against the rain," | | 8 | "The figure moved with an" | | 9 | "Quinn followed, her shoulder slamming" | | 10 | "The gate gave way with" | | 11 | "That wasn't right." | | 12 | "She knew every alley, every" | | 13 | "This courtyard—with its cracked flagstones" | | 14 | "The suspect stood at the" | | 15 | "Hood pulled low, shoulders rising" | | 16 | "The figure's head tilted, as" | | 17 | "Quinn drew her weapon, the" | | 18 | "They didn't stop." | | 19 | "Quinn squeezed the trigger once," |
| | ratio | 0.89 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 82 | | matches | (empty) | | ratio | 0 | |
| 16.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 9 | | matches | | 0 | "The figure's head tilted, as if considering the command, then they took off again, sprinting toward a recessed doorway at the courtyard's far wall." | | 1 | "The air that drifted up smelled wrong—like ozone and old copper and something floral she couldn't place." | | 2 | "A doorway that shouldn't exist, leading somewhere the department refused to acknowledge." | | 3 | "The old ticket booths had been replaced with stalls draped in dark fabrics, their surfaces cluttered with strange artifacts and bottles filled with liquids that…" | | 4 | "They all moved with a purpose that felt predatory, like sharks circling in dark water." | | 5 | "The man studied her with an intensity that made her skin prickle." | | 6 | "Quinn could feel the weight of stares on her back, the Market's patrons taking note of the police officer standing at their threshold." | | 7 | "Tomás watched her for a long moment, then nodded, as if confirming something he'd already suspected." | | 8 | "He pointed toward a narrow passage between two stalls, its entrance partially hidden by a hanging curtain of beads that clattered softly in the underground air." |
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| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 1 | | matches | | 0 | "the man continued, his voice dropping to a whisper" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | 0 | "the man continued (continue)" |
| | dialogueSentences | 24 | | tagDensity | 0.208 | | leniency | 0.417 | | rawRatio | 0.2 | | effectiveRatio | 0.083 | |