| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 27 | | tagDensity | 0.185 | | leniency | 0.37 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 69.42% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1635 | | totalAiIsmAdverbs | 10 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | adverb | "barely above a whisper" | | count | 1 |
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| | highlights | | 0 | "slightly" | | 1 | "slowly" | | 2 | "sharply" | | 3 | "suddenly" | | 4 | "barely above a whisper" |
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| 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) | |
| 8.26% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1635 | | totalAiIsms | 30 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | word | "down her spine" | | count | 1 |
| | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | |
| | highlights | | 0 | "pulsed" | | 1 | "racing" | | 2 | "glinting" | | 3 | "gloom" | | 4 | "pulse" | | 5 | "flicker" | | 6 | "stark" | | 7 | "chill" | | 8 | "down her spine" | | 9 | "stomach" | | 10 | "unreadable" | | 11 | "weight" | | 12 | "roaring" | | 13 | "footsteps" | | 14 | "echoing" | | 15 | "charged" | | 16 | "electric" | | 17 | "whisper" | | 18 | "familiar" | | 19 | "tension" | | 20 | "trembled" | | 21 | "raced" | | 22 | "intensity" |
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| 0.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 4 | | maxInWindow | 4 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
| | 1 | | label | "stomach dropped/sank" | | count | 1 |
| | 2 | | label | "air was thick with" | | count | 1 |
| | 3 | | label | "sent a shiver through" | | count | 1 |
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| | highlights | | 0 | "blood ran cold" | | 1 | "stomach dropped" | | 2 | "The air was thick with" | | 3 | "sent a chill down" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 118 | | matches | (empty) | |
| 82.32% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 118 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 140 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 3 | | totalWords | 1621 | | ratio | 0.002 | | matches | | 0 | "leading" | | 1 | "collecting" | | 2 | "alive" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 63 | | wordCount | 1475 | | uniqueNames | 15 | | maxNameDensity | 1.49 | | worstName | "Tomás" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Harlow | 1 | | Quinn | 20 | | Tomás | 22 | | Herrera | 2 | | Soho | 2 | | Great | 1 | | Windmill | 1 | | Street | 1 | | Saint | 1 | | Christopher | 1 | | Veil | 3 | | Market | 3 | | Camden | 1 |
| | persons | | 0 | "Raven" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Tomás" | | 4 | "Herrera" | | 5 | "Saint" | | 6 | "Christopher" | | 7 | "Market" |
| | places | | 0 | "Soho" | | 1 | "Windmill" | | 2 | "Street" |
| | globalScore | 0.754 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 93 | | glossingSentenceCount | 1 | | matches | | 0 | "shadows that seemed to swallow the light" |
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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 | 1621 | | matches | (empty) | |
| 47.62% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 5 | | totalSentences | 140 | | matches | | 0 | "was that he" | | 1 | "know that collecting" | | 2 | "know that words" | | 3 | "know that she" | | 4 | "know that she" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 29.47 | | std | 22.98 | | cv | 0.78 | | sampleLengths | | 0 | 109 | | 1 | 90 | | 2 | 4 | | 3 | 47 | | 4 | 74 | | 5 | 14 | | 6 | 42 | | 7 | 20 | | 8 | 3 | | 9 | 20 | | 10 | 62 | | 11 | 19 | | 12 | 14 | | 13 | 11 | | 14 | 9 | | 15 | 61 | | 16 | 56 | | 17 | 7 | | 18 | 32 | | 19 | 7 | | 20 | 42 | | 21 | 38 | | 22 | 65 | | 23 | 12 | | 24 | 59 | | 25 | 38 | | 26 | 30 | | 27 | 50 | | 28 | 42 | | 29 | 16 | | 30 | 7 | | 31 | 12 | | 32 | 11 | | 33 | 13 | | 34 | 14 | | 35 | 23 | | 36 | 4 | | 37 | 49 | | 38 | 39 | | 39 | 11 | | 40 | 32 | | 41 | 15 | | 42 | 12 | | 43 | 20 | | 44 | 7 | | 45 | 38 | | 46 | 16 | | 47 | 48 | | 48 | 6 | | 49 | 50 |
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| 99.32% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 118 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 255 | | matches | | 0 | "was going" | | 1 | "was offering" | | 2 | "was waiting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 140 | | ratio | 0.079 | | matches | | 0 | "She needed to catch him before he did something reckless—something that would get him hurt, or worse, get her partner’s ghost haunting her again." | | 1 | "Tomás wasn’t just running—he was *leading* someone." | | 2 | "The suspect—a broad-shouldered figure in a dark coat—had already vanished into the alleyway, but Tomás was still there, his back to her, his shoulders hunched against the cold." | | 3 | "The way he looked at her—like he knew something she didn’t—sent a chill down her spine." | | 4 | "She had heard whispers about it—rumors of deals gone wrong, of things that came back to haunt those who touched them." | | 5 | "Quinn could hear the distant murmur of voices, the clink of glass, the low hum of a place that wasn’t meant for the living—or at least, not for those who didn’t belong." | | 6 | "But the way Tomás looked at her—like he was waiting for her to choose—made her hand tremble around the revolver." | | 7 | "He was tall, his face obscured by the shadows, but there was something familiar about the way he looked at her—like he knew her, like he had seen her before." | | 8 | "And then, from the darkness beyond the stall, a figure emerged—a woman, her form shifting between solid and shadow, her eyes burning with an unnatural light." | | 9 | "The air was filled with the scent of smoke and something else—something metallic, something *alive*." | | 10 | "Quinn’s mind was a whirlwind of images—of the case that had nearly killed her partner, of the way the market had shifted, of the woman who had watched her with such familiarity." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1488 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 50 | | adverbRatio | 0.033602150537634407 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.0114247311827957 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 140 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 140 | | mean | 11.58 | | std | 7.33 | | cv | 0.633 | | sampleLengths | | 0 | 23 | | 1 | 22 | | 2 | 24 | | 3 | 15 | | 4 | 25 | | 5 | 21 | | 6 | 26 | | 7 | 19 | | 8 | 24 | | 9 | 4 | | 10 | 16 | | 11 | 3 | | 12 | 7 | | 13 | 21 | | 14 | 14 | | 15 | 28 | | 16 | 10 | | 17 | 22 | | 18 | 14 | | 19 | 3 | | 20 | 4 | | 21 | 16 | | 22 | 15 | | 23 | 4 | | 24 | 13 | | 25 | 7 | | 26 | 3 | | 27 | 12 | | 28 | 8 | | 29 | 3 | | 30 | 3 | | 31 | 25 | | 32 | 21 | | 33 | 10 | | 34 | 19 | | 35 | 6 | | 36 | 8 | | 37 | 6 | | 38 | 5 | | 39 | 7 | | 40 | 2 | | 41 | 16 | | 42 | 13 | | 43 | 32 | | 44 | 11 | | 45 | 20 | | 46 | 25 | | 47 | 7 | | 48 | 15 | | 49 | 9 |
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| 44.29% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.18571428571428572 | | totalSentences | 140 | | uniqueOpeners | 26 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 117 | | matches | | 0 | "Then she saw it." | | 1 | "Instead, he turned and walked" | | 2 | "Then, suddenly, the tunnel opened" | | 3 | "Then Tomás was there, his" | | 4 | "Then the ground trembled." | | 5 | "Then the woman’s voice cut" |
| | ratio | 0.051 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 117 | | matches | | 0 | "She had been chasing Tomás" | | 1 | "Her fingers tightened around the" | | 2 | "She had no idea where" | | 3 | "She needed to catch him" | | 4 | "She skidded to a halt," | | 5 | "He turned slowly, his warm" | | 6 | "She didn’t have to." | | 7 | "She pulled her service revolver" | | 8 | "He hesitated, then stepped forward," | | 9 | "She had heard whispers about" | | 10 | "she said, her voice steady" | | 11 | "he shot back" | | 12 | "She thought of the case" | | 13 | "She thought of the way" | | 14 | "She could turn back." | | 15 | "She could go home." | | 16 | "She could pretend this never" | | 17 | "She stepped forward, her boots" | | 18 | "he said, his voice barely" | | 19 | "She had seen enough of" |
| | ratio | 0.282 | |
| 45.47% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 97 | | totalSentences | 117 | | matches | | 0 | "The neon glow of the" | | 1 | "Detective Harlow Quinn’s breath came" | | 2 | "The scent of damp stone" | | 3 | "She had been chasing Tomás" | | 4 | "The man had vanished into" | | 5 | "Her fingers tightened around the" | | 6 | "She had no idea where" | | 7 | "The rain had turned to" | | 8 | "She needed to catch him" | | 9 | "A flicker of movement between" | | 10 | "Quinn’s instincts flared." | | 11 | "Tomás wasn’t just running—he was" | | 12 | "She skidded to a halt," | | 13 | "The suspect—a broad-shouldered figure in" | | 14 | "He turned slowly, his warm" | | 15 | "The Saint Christopher medallion around" | | 16 | "Tomás said, his voice low," | | 17 | "Quinn didn’t answer." | | 18 | "She didn’t have to." | | 19 | "The way he looked at" |
| | ratio | 0.829 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 117 | | matches | (empty) | | ratio | 0 | |
| 60.04% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 69 | | technicalSentenceCount | 8 | | matches | | 0 | "She had been chasing Tomás Herrera for hours now, her gut twisting with every step." | | 1 | "The man had vanished into the labyrinth of Soho, leaving behind only a trail of lies and a warning that had sent her heart racing." | | 2 | "The rain had turned to sleet, stinging her cheeks as she pushed harder, her pulse hammering in her throat." | | 3 | "She needed to catch him before he did something reckless—something that would get him hurt, or worse, get her partner’s ghost haunting her again." | | 4 | "The underground black market beneath Camden, where supernatural and mundane alike traded in secrets, in power, in things that should never be bought or sold." | | 5 | "Quinn could hear the distant murmur of voices, the clink of glass, the low hum of a place that wasn’t meant for the living—or at least, not for those who didn’t…" | | 6 | "The air was thick with the scent of incense and something metallic, like blood that had long since dried." | | 7 | "And then, from the darkness beyond the stall, a figure emerged—a woman, her form shifting between solid and shadow, her eyes burning with an unnatural light." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 3 | | matches | | 0 | "Tomás said, his voice low, rough with exhaustion" | | 1 | "she said, her voice steady despite the unease coiling in her chest" | | 2 | "he said, his voice barely above a whisper" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 27 | | tagDensity | 0.148 | | leniency | 0.296 | | rawRatio | 0 | | effectiveRatio | 0 | |