| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 44 | | tagDensity | 0.341 | | leniency | 0.682 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.40% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2173 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 40.17% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2173 | | totalAiIsms | 26 | | found | | | highlights | | 0 | "weight" | | 1 | "predictable" | | 2 | "flicker" | | 3 | "flickered" | | 4 | "dancing" | | 5 | "scanning" | | 6 | "facade" | | 7 | "silence" | | 8 | "eyebrow" | | 9 | "footsteps" | | 10 | "echoing" | | 11 | "flicked" | | 12 | "trembled" | | 13 | "echoed" | | 14 | "pulsed" | | 15 | "pulse" | | 16 | "silk" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 331 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 331 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 357 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 17 | | markdownWords | 34 | | totalWords | 2155 | | ratio | 0.016 | | matches | | 0 | "The Raven’s Nest" | | 1 | "Blackwood’s Botanical Guide to Poisons" | | 2 | "about" | | 3 | "still" | | 4 | "down" | | 5 | "The Veil Market – All Life Is Here" | | 6 | "dreams" | | 7 | "system" | | 8 | "Memories" | | 9 | "finger" | | 10 | "Way Out" | | 11 | "shifted" | | 12 | "respect" | | 13 | "no" | | 14 | "laughed" | | 15 | "the entire underground" | | 16 | "sent back" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 48 | | wordCount | 1912 | | uniqueNames | 21 | | maxNameDensity | 1.26 | | worstName | "Harlow" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Harlow" | | discoveredNames | | Brewer | 1 | | Street | 2 | | Harlow | 24 | | Quinn | 2 | | Wardour | 1 | | Raven | 1 | | Botanical | 1 | | Guide | 1 | | Veil | 1 | | Market | 1 | | Life | 1 | | Is | 1 | | Circle | 1 | | Line | 1 | | Footsteps | 3 | | Thames | 1 | | Metropolitan | 1 | | Police | 1 | | Camden | 1 | | Night | 1 | | Tube | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Veil" | | 4 | "Market" | | 5 | "Footsteps" |
| | places | | 0 | "Brewer" | | 1 | "Street" | | 2 | "Wardour" | | 3 | "Life" | | 4 | "Thames" | | 5 | "Camden" |
| | globalScore | 0.872 | | windowScore | 0.833 | |
| 71.88% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 128 | | glossingSentenceCount | 4 | | matches | | 0 | "smelled like leaking drains" | | 1 | "looked like a man who had sold his soul f" | | 2 | "smelled like burning sage and old cigarett" | | 3 | "looked like a bone" |
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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 | 2155 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 357 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 149 | | mean | 14.46 | | std | 15.08 | | cv | 1.043 | | sampleLengths | | 0 | 52 | | 1 | 7 | | 2 | 57 | | 3 | 58 | | 4 | 68 | | 5 | 4 | | 6 | 46 | | 7 | 22 | | 8 | 34 | | 9 | 8 | | 10 | 28 | | 11 | 3 | | 12 | 63 | | 13 | 8 | | 14 | 42 | | 15 | 10 | | 16 | 21 | | 17 | 7 | | 18 | 23 | | 19 | 5 | | 20 | 5 | | 21 | 60 | | 22 | 15 | | 23 | 15 | | 24 | 15 | | 25 | 8 | | 26 | 10 | | 27 | 29 | | 28 | 15 | | 29 | 20 | | 30 | 8 | | 31 | 37 | | 32 | 4 | | 33 | 3 | | 34 | 30 | | 35 | 5 | | 36 | 32 | | 37 | 6 | | 38 | 6 | | 39 | 7 | | 40 | 1 | | 41 | 22 | | 42 | 6 | | 43 | 27 | | 44 | 6 | | 45 | 34 | | 46 | 25 | | 47 | 9 | | 48 | 33 | | 49 | 3 |
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| 98.90% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 331 | | matches | | 0 | "been broken" | | 1 | "were tiled" | | 2 | "been burned" | | 3 | "was felt" | | 4 | "was gone" | | 5 | "been *sent" |
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| 97.44% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 325 | | matches | | 0 | "wasn't just running" | | 1 | "was leading" | | 2 | "was coming" | | 3 | "was selling" | | 4 | "was coming" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 24 | | semicolonCount | 0 | | flaggedSentences | 18 | | totalSentences | 357 | | ratio | 0.05 | | matches | | 0 | "The suspect—a wiry man in a too-thin leather jacket—darted left onto Brewer Street, his silhouette skidding through the glow of a green pub sign." | | 1 | "Clothes spilled out—nothing distinctive." | | 2 | "The door hung crookedly on one hinge, breathing out warm damp air that carried the scent of old metal and something else—something sharp and metallic beneath." | | 3 | "But a flicker of movement caught her eye—gloved hands pulling a black hood over a face." | | 4 | "The kind of darkness that didn't just block light—it absorbed it." | | 5 | "Not a collapse—more like a trapdoor—that door hadn't been hanging on hinges at all." | | 6 | "The air smelled of damp and something older—incense, maybe." | | 7 | "The room was nearly empty—only a bartender polishing a glass and a lone drinker nursing something amber in the corner." | | 8 | "A flicker of something—respect?—crossed his face." | | 9 | "The title wasn’t embossed—it had been burned in." | | 10 | "A banner hung crookedly above it, its fabric frayed: *The Veil Market – All Life Is Here*." | | 11 | "A third vendor—his skin stretched too tight over his skull—offered vials of liquid moonlight." | | 12 | "A blind vendor playing a violin—no, it wasn’t a violin." | | 13 | "A girl—no older than sixteen—stared at her with wide, pupil-less eyes." | | 14 | "She moved like a blade through silk—unexpected, unstoppable." | | 15 | "But the face—*no*." | | 16 | "As her fingers brushed the archway’s edge—something struck her from behind." | | 17 | "The market—*the entire underground*—had vanished." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1939 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 66 | | adverbRatio | 0.03403816400206292 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.006704486848891181 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 357 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 357 | | mean | 6.04 | | std | 4.46 | | cv | 0.739 | | sampleLengths | | 0 | 20 | | 1 | 12 | | 2 | 20 | | 3 | 5 | | 4 | 2 | | 5 | 24 | | 6 | 10 | | 7 | 13 | | 8 | 5 | | 9 | 5 | | 10 | 9 | | 11 | 3 | | 12 | 3 | | 13 | 7 | | 14 | 19 | | 15 | 11 | | 16 | 6 | | 17 | 21 | | 18 | 11 | | 19 | 8 | | 20 | 4 | | 21 | 10 | | 22 | 4 | | 23 | 4 | | 24 | 2 | | 25 | 4 | | 26 | 4 | | 27 | 14 | | 28 | 2 | | 29 | 4 | | 30 | 26 | | 31 | 5 | | 32 | 6 | | 33 | 4 | | 34 | 2 | | 35 | 5 | | 36 | 5 | | 37 | 7 | | 38 | 4 | | 39 | 16 | | 40 | 2 | | 41 | 6 | | 42 | 2 | | 43 | 14 | | 44 | 3 | | 45 | 11 | | 46 | 3 | | 47 | 5 | | 48 | 14 | | 49 | 9 |
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| 45.56% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 29 | | diversityRatio | 0.32212885154061627 | | totalSentences | 357 | | uniqueOpeners | 115 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 12 | | totalSentences | 269 | | matches | | 0 | "Just a rolling suitcase abandoned" | | 1 | "Just fabric and disappointment." | | 2 | "Then she saw it." | | 3 | "Just a black void beyond." | | 4 | "Then she heard music." | | 5 | "Just for a second." | | 6 | "Even the piano stopped mid-note." | | 7 | "Then she saw him." | | 8 | "Just a wind." | | 9 | "Only the suspect remained." | | 10 | "Then she heard it." | | 11 | "Somewhere in the dark." |
| | ratio | 0.045 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 59 | | totalSentences | 269 | | matches | | 0 | "She could taste exhaust and" | | 1 | "She didn't feel the cold." | | 2 | "He was leading her somewhere." | | 3 | "Her leather watch dug into" | | 4 | "she muttered, crouching" | | 5 | "She spun, pistol drawn in" | | 6 | "It was a lift mechanism," | | 7 | "She barely had time to" | | 8 | "It was too late to" | | 9 | "She landed on concrete that" | | 10 | "Her eyes landed on a" | | 11 | "She pushed through the door." | | 12 | "He nodded once." | | 13 | "he said, voice smooth as" | | 14 | "His smile didn't reach his" | | 15 | "Her voice was steel" | | 16 | "She stepped forward" | | 17 | "Her fingers brushed the spine" | | 18 | "He just watched, thumbs brushing" | | 19 | "He looked like a man" |
| | ratio | 0.219 | |
| 97.55% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 195 | | totalSentences | 269 | | matches | | 0 | "The rain had been falling" | | 1 | "Harlow's boots pounded the wet" | | 2 | "She could taste exhaust and" | | 3 | "She didn't feel the cold." | | 4 | "The suspect—a wiry man in" | | 5 | "Harlow's fingers tightened around the" | | 6 | "The man wasn't just running." | | 7 | "He was leading her somewhere." | | 8 | "A uniformed officer would've radioed" | | 9 | "Her leather watch dug into" | | 10 | "The pedal on her spine" | | 11 | "Death will do that to" | | 12 | "The suspect skidded again, this" | | 13 | "Harlow followed without hesitation, her" | | 14 | "The alley spat her onto" | | 15 | "The clasp was broken." | | 16 | "Clothes spilled out—nothing distinctive." | | 17 | "A metal service door, slightly" | | 18 | "The door hung crookedly on" | | 19 | "she muttered, crouching" |
| | ratio | 0.725 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 269 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 54 | | technicalSentenceCount | 2 | | matches | | 0 | "The rain had been falling for three hours straight, turning the pavement into a mirror that swallowed neon reflections whole." | | 1 | "The door hung crookedly on one hinge, breathing out warm damp air that carried the scent of old metal and something else—something sharp and metallic beneath." |
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| 91.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 1 | | matches | | 0 | "he said, voice smooth as poured honey" |
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| 13.64% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 6 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she whispered (whisper)" | | 2 | "the bartender muttered (mutter)" | | 3 | "she demanded (demand)" | | 4 | "she muttered (mutter)" | | 5 | "the girl whispered (whisper)" |
| | dialogueSentences | 44 | | tagDensity | 0.273 | | leniency | 0.545 | | rawRatio | 0.5 | | effectiveRatio | 0.273 | |