| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 19 | | tagDensity | 0.316 | | leniency | 0.632 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 87.14% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1166 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "very" | | 1 | "slightly" | | 2 | "suddenly" |
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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) | |
| 61.41% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1166 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "treacherous" | | 1 | "footsteps" | | 2 | "echoing" | | 3 | "pulse" | | 4 | "gloom" | | 5 | "whisper" | | 6 | "stomach" | | 7 | "racing" |
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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 | 96 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 96 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 108 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 0.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 23 | | markdownWords | 125 | | totalWords | 1151 | | ratio | 0.109 | | matches | | 0 | "click" | | 1 | "been" | | 2 | "\"Lost, detective?\"" | | 3 | "moved" | | 4 | "\"truths for the asking.\"" | | 5 | "\"You want to know about your partner, detective?\"" | | 6 | "\"I know things. Things that will make you sleep better at night.\"" | | 7 | "\"You don’t want to talk to him,\"" | | 8 | "\"He’s not selling truths. He’s selling *lies" | | 9 | "\"I don’t have time for this. My suspect—\"" | | 10 | "\"Is already gone.\"" | | 11 | "\"And you’re about to walk into something you can’t handle.\"" | | 12 | "\"I don’t need your help.\"" | | 13 | "\"You do if you want to leave this place alive.\"" | | 14 | "\"This isn’t just a market. It’s a *door" | | 15 | "else" | | 16 | "\"Now you listen to me. There’s another way out. But we have to move.\"" | | 17 | "\"Run,\"" | | 18 | "\"You okay?\"" | | 19 | "\"No.\"" | | 20 | "\"What did you see down there?\"" | | 21 | "\"Enough to know I don’t want to go back.\"" | | 22 | "\"Good. Because you won’t.\"" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 1022 | | uniqueNames | 7 | | maxNameDensity | 1.96 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Quinn | 20 | | Veil | 1 | | Market | 1 | | Tomás | 10 | | Herrera | 1 | | Morris | 2 |
| | persons | | 0 | "Quinn" | | 1 | "Tomás" | | 2 | "Herrera" | | 3 | "Morris" |
| | places | | | globalScore | 0.522 | | windowScore | 0.5 | |
| 69.35% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 2 | | matches | | 0 | "as if sensing her presence" | | 1 | "something like ozone and old blood" |
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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 | 1151 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 108 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 31.11 | | std | 21.52 | | cv | 0.692 | | sampleLengths | | 0 | 89 | | 1 | 59 | | 2 | 60 | | 3 | 46 | | 4 | 48 | | 5 | 48 | | 6 | 6 | | 7 | 25 | | 8 | 64 | | 9 | 61 | | 10 | 65 | | 11 | 67 | | 12 | 22 | | 13 | 40 | | 14 | 16 | | 15 | 13 | | 16 | 33 | | 17 | 8 | | 18 | 31 | | 19 | 19 | | 20 | 23 | | 21 | 5 | | 22 | 25 | | 23 | 26 | | 24 | 41 | | 25 | 9 | | 26 | 3 | | 27 | 36 | | 28 | 41 | | 29 | 25 | | 30 | 10 | | 31 | 15 | | 32 | 28 | | 33 | 13 | | 34 | 22 | | 35 | 4 | | 36 | 5 |
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| 90.64% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 96 | | matches | | 0 | "been carved" | | 1 | "being ripped" | | 2 | "was gone" | | 3 | "was gone" |
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| 77.30% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 163 | | matches | | 0 | "was carrying" | | 1 | "was weaving" | | 2 | "was closing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 14 | | totalSentences | 108 | | ratio | 0.13 | | matches | | 0 | "She kept the suspect in her sights—a wiry figure in a long coat, moving with purpose through the labyrinth of alleys." | | 1 | "The passage opened into a dimly lit courtyard, the air thick with the scent of damp earth and something older—something that prickled at the back of her neck like static." | | 2 | "The courtyard was a dead end—or so it seemed." | | 3 | "If she followed him down there, she’d be stepping into the unknown—no backup, no rules, just the cold certainty that something was very wrong." | | 4 | "The air was thick, humid, the scent of damp stone and something else—something like ozone and old blood." | | 5 | "People moved through the crowd—no, not people." | | 6 | "The market was a maze, the stalls selling things that made her stomach clench—bottles of black liquid, bundles of herbs that hummed with energy, small cages containing things that *moved* even when they shouldn’t." | | 7 | "A stall caught her eye—a man in a long coat, his fingers stained with ink, offering *\"truths for the asking.\"* Quinn’s instincts screamed at her to turn away, but she forced herself to look closer." | | 8 | "She took a step forward—" | | 9 | "She could still—" | | 10 | "A sound cut through the noise of the market—a wet, tearing noise, like fabric being ripped." | | 11 | "Quinn’s flashlight beam caught movement ahead—a figure, hunched and wrong, blocking their path." | | 12 | "The exit—a rusted metal ladder leading up into the dark night." | | 13 | "Quinn followed, her muscles screaming, her mind replaying the sounds of the market—the screams, the whispers, the things that moved in the dark." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1037 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, leather-bound object." |
| | adverbCount | 31 | | adverbRatio | 0.029893924783027964 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.0048216007714561235 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 108 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 108 | | mean | 10.66 | | std | 7.45 | | cv | 0.699 | | sampleLengths | | 0 | 15 | | 1 | 20 | | 2 | 21 | | 3 | 13 | | 4 | 20 | | 5 | 16 | | 6 | 18 | | 7 | 13 | | 8 | 2 | | 9 | 2 | | 10 | 8 | | 11 | 30 | | 12 | 18 | | 13 | 12 | | 14 | 8 | | 15 | 9 | | 16 | 5 | | 17 | 24 | | 18 | 3 | | 19 | 4 | | 20 | 7 | | 21 | 3 | | 22 | 11 | | 23 | 14 | | 24 | 6 | | 25 | 17 | | 26 | 2 | | 27 | 5 | | 28 | 24 | | 29 | 6 | | 30 | 13 | | 31 | 12 | | 32 | 18 | | 33 | 19 | | 34 | 27 | | 35 | 7 | | 36 | 10 | | 37 | 3 | | 38 | 22 | | 39 | 17 | | 40 | 2 | | 41 | 9 | | 42 | 10 | | 43 | 12 | | 44 | 34 | | 45 | 35 | | 46 | 10 | | 47 | 10 | | 48 | 12 | | 49 | 3 |
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| 46.91% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3148148148148148 | | totalSentences | 108 | | uniqueOpeners | 34 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 85 | | matches | | 0 | "Then he was moving again," | | 1 | "Instead, he pressed his palm" | | 2 | "Then a scream." | | 3 | "Then, suddenly, light." |
| | ratio | 0.047 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 85 | | matches | | 0 | "She kept the suspect in" | | 1 | "She pressed herself against the" | | 2 | "She knew this place." | | 3 | "She’d heard whispers of it" | | 4 | "She exhaled, then stepped forward," | | 5 | "He was weaving through the" | | 6 | "She followed, her hand resting" | | 7 | "His name was a ghost" | | 8 | "She took a step forward—" | | 9 | "She whirled, her free hand" | | 10 | "She could still chase him." | | 11 | "She could still—" | | 12 | "She let him pull her," | | 13 | "They ran, the lantern light" | | 14 | "Its eyes gleamed in the" | | 15 | "She didn’t hesitate." | | 16 | "They turned down another tunnel," | | 17 | "He climbed first, his hands" | | 18 | "She emerged into the rain-soaked" | | 19 | "She thought of the suspect," |
| | ratio | 0.235 | |
| 42.35% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 71 | | totalSentences | 85 | | matches | | 0 | "The rain fell in sheets," | | 1 | "Harlow Quinn’s boots splashed through" | | 2 | "She kept the suspect in" | | 3 | "The man had slipped through" | | 4 | "She pressed herself against the" | | 5 | "The suspect had ducked into" | | 6 | "Quinn’s fingers twitched toward the" | | 7 | "The passage opened into a" | | 8 | "The suspect hesitated at the" | | 9 | "Quinn followed, her military precision" | | 10 | "The courtyard was a dead" | | 11 | "Quinn’s pulse jumped." | | 12 | "She knew this place." | | 13 | "The Veil Market." | | 14 | "A black market for things" | | 15 | "She’d heard whispers of it" | | 16 | "The suspect was already disappearing" | | 17 | "The market was uncharted territory." | | 18 | "She exhaled, then stepped forward," | | 19 | "The hidden door groaned shut" |
| | ratio | 0.835 | |
| 58.82% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 85 | | matches | | 0 | "If she followed him down" |
| | ratio | 0.012 | |
| 18.63% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 8 | | matches | | 0 | "Harlow Quinn’s boots splashed through puddles that reflected the sickly glow of the streetlights, her breath steady despite the adrenaline." | | 1 | "The passage opened into a dimly lit courtyard, the air thick with the scent of damp earth and something older—something that prickled at the back of her neck li…" | | 2 | "The suspect hesitated at the edge of the courtyard, glancing over his shoulder as if sensing her presence." | | 3 | "Quinn’s flashlight cut through the gloom, revealing a path that sloped downward, the walls lined with stalls that hadn’t existed the last time she’d been above …" | | 4 | "A woman with skin like polished obsidian passed by, her fingers trailing over a glass case filled with jars of swirling liquid." | | 5 | "The market was a maze, the stalls selling things that made her stomach clench—bottles of black liquid, bundles of herbs that hummed with energy, small cages con…" | | 6 | "He climbed first, his hands gripping the rungs, his body disappearing into the darkness above." | | 7 | "Quinn followed, her muscles screaming, her mind replaying the sounds of the market—the screams, the whispers, the things that moved in the dark." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 3 | | fancyTags | | 0 | "he murmured (murmur)" | | 1 | "Tomás hissed (hiss)" | | 2 | "he ordered (order)" |
| | dialogueSentences | 19 | | tagDensity | 0.211 | | leniency | 0.421 | | rawRatio | 0.75 | | effectiveRatio | 0.316 | |