| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 15 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.53% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1338 | | 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) | |
| 43.95% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1338 | | totalAiIsms | 15 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | word | "the last thing" | | count | 1 |
| | 6 | | | 7 | | | 8 | | | 9 | | | 10 | |
| | highlights | | 0 | "flickered" | | 1 | "pulse" | | 2 | "fractured" | | 3 | "standard" | | 4 | "whisper" | | 5 | "the last thing" | | 6 | "silence" | | 7 | "pulsed" | | 8 | "etched" | | 9 | "flicked" | | 10 | "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 | 134 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 134 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 145 | | 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 | 6 | | markdownWords | 6 | | totalWords | 1322 | | ratio | 0.005 | | matches | | 0 | "hungry" | | 1 | "that" | | 2 | "waiting" | | 3 | "wrong" | | 4 | "Now" | | 5 | "smiled" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 47 | | wordCount | 1224 | | uniqueNames | 11 | | maxNameDensity | 1.63 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Quinn | 20 | | Glock | 3 | | Herrera | 1 | | Saint | 1 | | Christopher | 1 | | Tommy | 10 | | Veil | 3 | | Market | 3 | | Thames | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Quinn" | | 3 | "Glock" | | 4 | "Herrera" | | 5 | "Saint" | | 6 | "Christopher" | | 7 | "Tommy" |
| | places | | 0 | "Veil" | | 1 | "Market" | | 2 | "Thames" |
| | globalScore | 0.683 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 90 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like a child’s toy" |
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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 | 1322 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 145 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 57 | | mean | 23.19 | | std | 19.04 | | cv | 0.821 | | sampleLengths | | 0 | 1 | | 1 | 67 | | 2 | 62 | | 3 | 3 | | 4 | 61 | | 5 | 6 | | 6 | 52 | | 7 | 13 | | 8 | 31 | | 9 | 34 | | 10 | 4 | | 11 | 32 | | 12 | 25 | | 13 | 4 | | 14 | 38 | | 15 | 45 | | 16 | 10 | | 17 | 44 | | 18 | 8 | | 19 | 53 | | 20 | 5 | | 21 | 3 | | 22 | 77 | | 23 | 41 | | 24 | 4 | | 25 | 10 | | 26 | 34 | | 27 | 13 | | 28 | 42 | | 29 | 8 | | 30 | 29 | | 31 | 47 | | 32 | 9 | | 33 | 32 | | 34 | 4 | | 35 | 33 | | 36 | 6 | | 37 | 32 | | 38 | 6 | | 39 | 14 | | 40 | 18 | | 41 | 29 | | 42 | 20 | | 43 | 9 | | 44 | 40 | | 45 | 3 | | 46 | 2 | | 47 | 26 | | 48 | 10 | | 49 | 7 |
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| 94.79% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 134 | | matches | | 0 | "was gone" | | 1 | "was gone" | | 2 | "were locked" | | 3 | "was hunched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 217 | | matches | | 0 | "was looking" | | 1 | "was watching" | | 2 | "was looking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 145 | | ratio | 0.076 | | matches | | 0 | "She pressed a hand against the small of her back, fingers brushing the holstered Glock—standard issue, but tonight it felt like a child’s toy." | | 1 | "She’d followed the trail of broken glass and the single, discarded Saint Christopher medallion—Tommy’s signature—to the back alley behind Silas’ bar." | | 2 | "The rain drummed against the brick walls, but something else was moving—something with too many joints, too many angles." | | 3 | "A hiss escaped—human, but wrong." | | 4 | "The sound had come from there—a wet, clicking noise, like bones knocking together." | | 5 | "Figures moved between the aisles—some human, some not." | | 6 | "A stall caught her eye—a table draped in black cloth, the edges stitched with silver thread." | | 7 | "The stallkeeper—a gaunt man with eyes like polished river stones—leaned in." | | 8 | "Then she saw it—a narrow archway, half-collapsed, leading into absolute blackness." | | 9 | "She twisted, driving her elbow back—only to find herself staring into Tommy’s dark eyes." | | 10 | "They were all facing the same direction—toward the end of the tunnel, where something else waited." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 191 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 6 | | adverbRatio | 0.031413612565445025 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.010471204188481676 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 145 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 145 | | mean | 9.11 | | std | 5.88 | | cv | 0.646 | | sampleLengths | | 0 | 25 | | 1 | 18 | | 2 | 24 | | 3 | 23 | | 4 | 12 | | 5 | 21 | | 6 | 6 | | 7 | 3 | | 8 | 11 | | 9 | 11 | | 10 | 4 | | 11 | 5 | | 12 | 11 | | 13 | 19 | | 14 | 6 | | 15 | 10 | | 16 | 13 | | 17 | 10 | | 18 | 10 | | 19 | 5 | | 20 | 2 | | 21 | 2 | | 22 | 13 | | 23 | 6 | | 24 | 5 | | 25 | 20 | | 26 | 9 | | 27 | 10 | | 28 | 10 | | 29 | 1 | | 30 | 4 | | 31 | 4 | | 32 | 3 | | 33 | 5 | | 34 | 11 | | 35 | 13 | | 36 | 6 | | 37 | 8 | | 38 | 5 | | 39 | 6 | | 40 | 4 | | 41 | 3 | | 42 | 5 | | 43 | 2 | | 44 | 28 | | 45 | 16 | | 46 | 10 | | 47 | 19 | | 48 | 5 | | 49 | 5 |
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| 43.79% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.25517241379310346 | | totalSentences | 145 | | uniqueOpeners | 37 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 123 | | matches | | 0 | "Then the figure was gone," | | 1 | "Then she saw it—a narrow" | | 2 | "Then she saw them." | | 3 | "Then it *smiled*." |
| | ratio | 0.033 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 123 | | matches | | 0 | "She pressed a hand against" | | 1 | "She’d followed the trail of" | | 2 | "It skidded across the pavement," | | 3 | "She didn’t wait to see" | | 4 | "They hit the ground hard," | | 5 | "She drove her knee into" | | 6 | "She pushed herself up, wiping" | | 7 | "She snatched it up, the" | | 8 | "She crouched, peering into the" | | 9 | "She should call for backup." | | 10 | "She reached into her coat," | | 11 | "She hesitated, then tossed the" | | 12 | "It clattered against stone, then" | | 13 | "She took a breath, then" | | 14 | "She landed in a crouch," | | 15 | "It stretched before her, a" | | 16 | "He gestured to the dagger" | | 17 | "He reached beneath the table," | | 18 | "He nodded toward her pocket," | | 19 | "She turned and moved deeper" |
| | ratio | 0.285 | |
| 29.11% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 106 | | totalSentences | 123 | | matches | | 0 | "The neon glow of The" | | 1 | "The rain had turned the" | | 2 | "She pressed a hand against" | | 3 | "Tomás Herrera had slipped through" | | 4 | "The kind of stink that" | | 5 | "She’d followed the trail of" | | 6 | "That’s where the chase had" | | 7 | "A shadow moved." | | 8 | "Quinn spun, her boot catching" | | 9 | "It skidded across the pavement," | | 10 | "The shadow was gone." | | 11 | "A figure crouched in the" | | 12 | "The rain drummed against the" | | 13 | "She didn’t wait to see" | | 14 | "Quinn lunged forward, her shoulder" | | 15 | "They hit the ground hard," | | 16 | "The figure twisted beneath her," | | 17 | "She drove her knee into" | | 18 | "A hiss escaped—human, but wrong." | | 19 | "Quinn rolled onto her back," |
| | ratio | 0.862 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 123 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 3 | | matches | | 0 | "The neon glow of The Raven’s Nest’s sign flickered like a dying pulse as Quinn ducked beneath the awning, her breath fogging in the cold." | | 1 | "But the air hummed, thick with the scent of damp earth and something older, something that made her teeth ache." | | 2 | "On it sat a single item: a silver dagger, its blade etched with spiraling symbols that made her head ache just to look at them." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 1 | | matches | | 0 | "He reached, his fingers disappearing into the shadows" |
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| 83.33% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 15 | | tagDensity | 0.067 | | leniency | 0.133 | | rawRatio | 1 | | effectiveRatio | 0.133 | |