| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 29 | | tagDensity | 0.448 | | leniency | 0.897 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1116 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1116 | | totalAiIsms | 26 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | word | "the last thing" | | count | 1 |
| | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | |
| | highlights | | 0 | "pulsed" | | 1 | "unravel" | | 2 | "gloom" | | 3 | "pulse" | | 4 | "flicker" | | 5 | "the last thing" | | 6 | "weight" | | 7 | "footsteps" | | 8 | "roaring" | | 9 | "flicked" | | 10 | "whisper" | | 11 | "stomach" | | 12 | "lurched" | | 13 | "raced" | | 14 | "flickered" | | 15 | "racing" | | 16 | "pounding" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 106 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 106 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 122 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 5 | | markdownWords | 5 | | totalWords | 1108 | | ratio | 0.005 | | matches | | 0 | "looked" | | 1 | "wrong" | | 2 | "place" | | 3 | "parts" | | 4 | "story" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 20 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 56 | | wordCount | 941 | | uniqueNames | 11 | | maxNameDensity | 2.23 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Soho | 1 | | Harlow | 1 | | Quinn | 21 | | Tomás | 1 | | Herrera | 20 | | Veil | 4 | | Market | 4 | | Morris | 1 | | Tube | 1 |
| | persons | | 0 | "Raven" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Tomás" | | 4 | "Herrera" | | 5 | "Morris" |
| | places | | | globalScore | 0.384 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | glossingSentenceCount | 1 | | matches | | 0 | "as if warning the world to stay away" |
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| 19.49% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.805 | | wordCount | 1108 | | matches | | 0 | "not just because he’d been seen near the Veil Market at midnight, but because the way he moved, the way he *looked* at her" | | 1 | "not in a gunfight or a car chase, but in a place" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 122 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 29.16 | | std | 21.18 | | cv | 0.727 | | sampleLengths | | 0 | 75 | | 1 | 106 | | 2 | 36 | | 3 | 71 | | 4 | 38 | | 5 | 22 | | 6 | 43 | | 7 | 19 | | 8 | 3 | | 9 | 42 | | 10 | 18 | | 11 | 31 | | 12 | 19 | | 13 | 35 | | 14 | 7 | | 15 | 58 | | 16 | 19 | | 17 | 6 | | 18 | 24 | | 19 | 29 | | 20 | 43 | | 21 | 38 | | 22 | 4 | | 23 | 13 | | 24 | 26 | | 25 | 4 | | 26 | 15 | | 27 | 25 | | 28 | 9 | | 29 | 25 | | 30 | 26 | | 31 | 20 | | 32 | 25 | | 33 | 10 | | 34 | 37 | | 35 | 38 | | 36 | 42 | | 37 | 7 |
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| 98.64% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 106 | | matches | | 0 | "been seen" | | 1 | "was involved" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 7 | | totalVerbs | 178 | | matches | | 0 | "was leading" | | 1 | "was running" | | 2 | "was coming" | | 3 | "was happening" | | 4 | "was running" | | 5 | "was waiting" | | 6 | "wasn’t leaving" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 122 | | ratio | 0.066 | | matches | | 0 | "The air smelled of damp stone and something older—something metallic and faintly metallic, like old blood." | | 1 | "Not just because he’d stolen a witness’s statement, not just because he’d been seen near the Veil Market at midnight, but because the way he moved, the way he *looked* at her—like she was a threat he’d rather outrun than face—made her skin prickle." | | 2 | "The alley narrowed, the air thick with the scent of damp earth and something else—something sharp, like ozone after a storm." | | 3 | "Then she saw the flicker of movement ahead—a figure crouched in the shadows, a bone token glowing faintly in their palm." | | 4 | "And then she heard it—the sound of footsteps, light and sure, moving toward her." | | 5 | "She lunged forward, her fingers brushing against something cold and smooth—a rusted pipe, slick with rain." | | 6 | "He just turned, his dark eyes flickering with something Quinn couldn’t read—fear?" | | 7 | "He pulled it out—a bone token, the same kind used to enter the Veil Market." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 949 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.02528977871443625 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.003161222339304531 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 122 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 122 | | mean | 9.08 | | std | 7.04 | | cv | 0.775 | | sampleLengths | | 0 | 30 | | 1 | 29 | | 2 | 16 | | 3 | 8 | | 4 | 44 | | 5 | 36 | | 6 | 18 | | 7 | 11 | | 8 | 7 | | 9 | 8 | | 10 | 10 | | 11 | 17 | | 12 | 19 | | 13 | 11 | | 14 | 17 | | 15 | 7 | | 16 | 21 | | 17 | 3 | | 18 | 10 | | 19 | 4 | | 20 | 21 | | 21 | 1 | | 22 | 3 | | 23 | 12 | | 24 | 13 | | 25 | 15 | | 26 | 14 | | 27 | 5 | | 28 | 3 | | 29 | 6 | | 30 | 16 | | 31 | 10 | | 32 | 10 | | 33 | 11 | | 34 | 7 | | 35 | 3 | | 36 | 12 | | 37 | 1 | | 38 | 2 | | 39 | 9 | | 40 | 4 | | 41 | 14 | | 42 | 5 | | 43 | 11 | | 44 | 10 | | 45 | 8 | | 46 | 6 | | 47 | 3 | | 48 | 4 | | 49 | 4 |
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| 36.07% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.22131147540983606 | | totalSentences | 122 | | uniqueOpeners | 27 | |
| 37.45% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 89 | | matches | | 0 | "Then she saw the flicker" |
| | ratio | 0.011 | |
| 76.18% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 89 | | matches | | 0 | "She had been chasing Tomás" | | 1 | "She’d been chasing Herrera for" | | 2 | "She wasn’t sure how much" | | 3 | "She didn’t know if he" | | 4 | "She’d been in underground markets" | | 5 | "She didn’t hesitate." | | 6 | "She ducked into the alley," | | 7 | "She didn’t have time to" | | 8 | "She lunged forward, her fingers" | | 9 | "She grabbed it, twisting it" | | 10 | "He just turned, his dark" | | 11 | "he said, his voice low" | | 12 | "She didn’t answer." | | 13 | "She didn’t have to." | | 14 | "It was something else, something" | | 15 | "She’d felt this before." | | 16 | "She’d seen enough in her" | | 17 | "She’d seen enough to know" | | 18 | "He pulled it out—a bone" | | 19 | "She’d been chasing Herrera because" |
| | ratio | 0.36 | |
| 21.80% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 78 | | totalSentences | 89 | | matches | | 0 | "The neon glow of the" | | 1 | "Detective Harlow Quinn adjusted the" | | 2 | "The air smelled of damp" | | 3 | "She had been chasing Tomás" | | 4 | "Something that had left her" | | 5 | "Quinn’s fingers tightened around the" | | 6 | "The clock inside had stopped" | | 7 | "She’d been chasing Herrera for" | | 8 | "She wasn’t sure how much" | | 9 | "The rain came down harder" | | 10 | "Herrera’s taillights had vanished into" | | 11 | "Quinn followed, her breath shallow," | | 12 | "She didn’t know if he" | | 13 | "The alley narrowed, the air" | | 14 | "Quinn’s pulse spiked." | | 15 | "She’d been in underground markets" | | 16 | "She didn’t hesitate." | | 17 | "The last thing she needed" | | 18 | "She ducked into the alley," | | 19 | "The air smelled different here," |
| | ratio | 0.876 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 89 | | matches | (empty) | | ratio | 0 | |
| 90.59% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 3 | | matches | | 0 | "The neon glow of the Raven’s Nest pulsed like a dying heartbeat against the rain-slicked windows of Soho, its green sign flickering as if warning the world to s…" | | 1 | "It was something else, something that clung to her skin like a second layer, damp and clammy." | | 2 | "She turned, her boots splashing through the puddles, her mind racing." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 4 | | matches | | 0 | "Quinn said, her voice steady, her grip tight" | | 1 | "he said, his voice low" | | 2 | "Quinn pressed, her pulse roaring in her ears" | | 3 | "she asked, her voice firm" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 29 | | tagDensity | 0.448 | | leniency | 0.897 | | rawRatio | 0.077 | | effectiveRatio | 0.069 | |