| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 96.71% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1519 | | totalAiIsmAdverbs | 1 | | 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) | |
| 40.75% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1519 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "streaming" | | 1 | "gleaming" | | 2 | "perfect" | | 3 | "predator" | | 4 | "flickered" | | 5 | "silence" | | 6 | "pulsed" | | 7 | "velvet" | | 8 | "scanning" | | 9 | "pounding" | | 10 | "weight" | | 11 | "crystallized" | | 12 | "pumping" | | 13 | "maw" | | 14 | "footsteps" | | 15 | "echoing" | | 16 | "grave" |
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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 | 1 | | narrationSentences | 107 | | matches | | |
| 89.45% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 107 | | filterMatches | | | hedgeMatches | | 0 | "managed to" | | 1 | "seemed to" |
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| 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 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1504 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 96.74% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 63 | | wordCount | 1502 | | uniqueNames | 27 | | maxNameDensity | 1.07 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 16 | | Tomás | 13 | | Herrera | 1 | | Dean | 1 | | Street | 1 | | Whitechapel | 1 | | Saint | 1 | | Christopher | 1 | | Morris | 8 | | Shaftesbury | 1 | | Avenue | 1 | | Raven | 1 | | Nest | 1 | | Tube | 2 | | Soho | 1 | | Glock | 2 | | Camden | 1 | | Northern | 1 | | Line | 1 | | Met | 1 | | Tuesday | 1 | | Bermondsey | 1 | | Veil | 1 | | Market | 1 | | Victorian | 1 | | London | 1 | | God | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Tomás" | | 2 | "Herrera" | | 3 | "Saint" | | 4 | "Christopher" | | 5 | "Morris" | | 6 | "Raven" | | 7 | "Nest" | | 8 | "Line" | | 9 | "Met" |
| | places | | 0 | "Dean" | | 1 | "Street" | | 2 | "Whitechapel" | | 3 | "Shaftesbury" | | 4 | "Avenue" | | 5 | "Soho" | | 6 | "Glock" | | 7 | "Bermondsey" | | 8 | "Market" | | 9 | "London" |
| | globalScore | 0.967 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 73 | | glossingSentenceCount | 1 | | matches | | 0 | "darkness that seemed to drink the light" |
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| 67.02% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.33 | | wordCount | 1504 | | matches | | 0 | "not with fear, but with recognition" | | 1 | "not for a weapon, but for something else, something" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 108 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 44.24 | | std | 26.56 | | cv | 0.6 | | sampleLengths | | 0 | 63 | | 1 | 94 | | 2 | 77 | | 3 | 72 | | 4 | 40 | | 5 | 105 | | 6 | 55 | | 7 | 23 | | 8 | 38 | | 9 | 73 | | 10 | 27 | | 11 | 39 | | 12 | 6 | | 13 | 52 | | 14 | 53 | | 15 | 11 | | 16 | 98 | | 17 | 44 | | 18 | 40 | | 19 | 64 | | 20 | 35 | | 21 | 4 | | 22 | 46 | | 23 | 5 | | 24 | 65 | | 25 | 43 | | 26 | 39 | | 27 | 2 | | 28 | 50 | | 29 | 6 | | 30 | 44 | | 31 | 37 | | 32 | 37 | | 33 | 17 |
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| 95.43% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 107 | | matches | | 0 | "been welded" | | 1 | "been buried" | | 2 | "been abandoned" |
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| 69.28% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 255 | | matches | | 0 | "was heading" | | 1 | "wasn’t looking" | | 2 | "was wrapping" | | 3 | "was buying" | | 4 | "was heading" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 15 | | semicolonCount | 1 | | flaggedSentences | 13 | | totalSentences | 108 | | ratio | 0.12 | | matches | | 0 | "She kept her chin tucked, jaw sharp and set beneath the water streaming down her face, and watched the leather band of her watch—three minutes past midnight—as Tomás Herrera cut across Dean Street, his olive skin gleaming under the sodium streetlamps like wet bronze." | | 1 | "Tomás turned left toward Shaftesbury Avenue, then cut sharply north, his scarred left forearm—a jagged line of white tissue from a knife attack she’d found in his file—flashing as he pushed through a crowd of theatre-goers." | | 2 | "Her hand rested near the Glock at her hip, fingers drumming once against the grip—a nervous habit she’d never managed to shake, not since Morris." | | 3 | "The rain hadn’t let up; it fell in sheets now, turning the pavement into a river of black glass that reflected the neon signs of the high street." | | 4 | "Tomás produced something from his pocket—a token, white and curved, carved from bone." | | 5 | "The air at the entrance tasted wrong—metallic, ancient, like the inside of a cathedral that had been buried alive." | | 6 | "The air grew colder, thick with the scent of ozone and myrrh and something else—something alive and watching." | | 7 | "No—a station." | | 8 | "She kept her eyes scanning—for the olive skin, the dark curls, the flash of a saint’s medallion." | | 9 | "He was buying something—a vial of liquid that shifted between colors, violet to black to blood-red." | | 10 | "His eyes widened—not with fear, but with recognition." | | 11 | "She could see the deeper dark ahead—a tunnel that breathed cold air, that promised escape into the London night, or deeper still into whatever nightmare this place was." | | 12 | "Not to fire—not yet, not in a place where bullets might ricochet off enchantments and come back to bite—but to clear her path." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1522 | | adjectiveStacks | 1 | | stackExamples | | 0 | "wrong—metallic, ancient, like" |
| | adverbCount | 34 | | adverbRatio | 0.022339027595269383 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.005256241787122208 | |
| 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 | 13.93 | | std | 10.62 | | cv | 0.763 | | sampleLengths | | 0 | 19 | | 1 | 44 | | 2 | 5 | | 3 | 42 | | 4 | 23 | | 5 | 24 | | 6 | 18 | | 7 | 23 | | 8 | 22 | | 9 | 6 | | 10 | 5 | | 11 | 3 | | 12 | 36 | | 13 | 25 | | 14 | 11 | | 15 | 12 | | 16 | 3 | | 17 | 25 | | 18 | 8 | | 19 | 28 | | 20 | 33 | | 21 | 6 | | 22 | 30 | | 23 | 13 | | 24 | 23 | | 25 | 19 | | 26 | 3 | | 27 | 10 | | 28 | 4 | | 29 | 3 | | 30 | 3 | | 31 | 15 | | 32 | 19 | | 33 | 3 | | 34 | 1 | | 35 | 5 | | 36 | 22 | | 37 | 5 | | 38 | 3 | | 39 | 38 | | 40 | 5 | | 41 | 22 | | 42 | 6 | | 43 | 22 | | 44 | 7 | | 45 | 4 | | 46 | 6 | | 47 | 9 | | 48 | 15 | | 49 | 17 |
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| 35.98% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.2616822429906542 | | totalSentences | 107 | | uniqueOpeners | 28 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 100 | | matches | | 0 | "Just like that." | | 1 | "Instead, she pushed forward." | | 2 | "Then he stepped into the" |
| | ratio | 0.03 | |
| 52.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 42 | | totalSentences | 100 | | matches | | 0 | "She kept her chin tucked," | | 1 | "He knew she was there." | | 2 | "She’d been on his tail" | | 3 | "He glanced over his shoulder," | | 4 | "She knew better." | | 5 | "He was heading for the" | | 6 | "She ignored it." | | 7 | "Her hand rested near the" | | 8 | "They reached the edge of" | | 9 | "She’d heard the whispers in" | | 10 | "He pressed it against a" | | 11 | "He looked back." | | 12 | "He didn’t run." | | 13 | "He stepped through." | | 14 | "Her watch ticked." | | 15 | "She could radio for backup." | | 16 | "She could wait for the" | | 17 | "Her fingers closed around the" | | 18 | "She’d told herself she might" | | 19 | "She’d hoped she wouldn’t." |
| | ratio | 0.42 | |
| 45.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 83 | | totalSentences | 100 | | matches | | 0 | "The rain fell hard enough" | | 1 | "She kept her chin tucked," | | 2 | "He knew she was there." | | 3 | "She’d been on his tail" | | 4 | "Tomás moved with the economical" | | 5 | "He glanced over his shoulder," | | 6 | "Quinn matched his pace, boots" | | 7 | "The official report said heart" | | 8 | "Quinn had seen the photographs." | | 9 | "She knew better." | | 10 | "Tomás turned left toward Shaftesbury" | | 11 | "The green neon sign of" | | 12 | "He was heading for the" | | 13 | "Quinn’s radio crackled with static," | | 14 | "She ignored it." | | 15 | "Her hand rested near the" | | 16 | "They reached the edge of" | | 17 | "The rain hadn’t let up;" | | 18 | "Tomás slowed at the mouth" | | 19 | "She’d heard the whispers in" |
| | ratio | 0.83 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 100 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 59 | | technicalSentenceCount | 14 | | matches | | 0 | "She’d been on his tail for three nights, ever since the informant’s tip about a back-alley clinic in Whitechapel, ever since she’d seen him stitching a man whos…" | | 1 | "Tomás moved with the economical grace of a man who’d spent years carrying gurneys through hospital corridors, but tonight he moved like prey." | | 2 | "The rain hadn’t let up; it fell in sheets now, turning the pavement into a river of black glass that reflected the neon signs of the high street." | | 3 | "She’d heard the whispers in the precinct’s darker corners, the ones about markets that moved with the moon, about traders who sold memories in vials and curses …" | | 4 | "The gates groaned, hydraulics long dead now replaced by something older, something that hummed like a struck tuning fork." | | 5 | "Quinn stood at the threshold, rain plastering her hair, her breath coming in sharp clouds." | | 6 | "The air at the entrance tasted wrong—metallic, ancient, like the inside of a cathedral that had been buried alive." | | 7 | "Her flashlight, clipped to her belt, cut a weak beam through the dark, illuminating walls covered in graffiti that moved when she wasn’t looking directly at it,…" | | 8 | "He was buying something—a vial of liquid that shifted between colors, violet to black to blood-red." | | 9 | "She ignored them, her boots pounding the ancient tile, her breath ragged now, the military precision cracking under the weight of the chase." | | 10 | "She could see the deeper dark ahead—a tunnel that breathed cold air, that promised escape into the London night, or deeper still into whatever nightmare this pl…" | | 11 | "The tunnel yawned before her, exhaling a wind that smelled of wet earth and old magic and the particular silence of places that had been abandoned by God." | | 12 | "She could hear Tomás’s footsteps echoing, fading, but still there, still leading her deeper." | | 13 | "Of climbing the stairs, of finding a phone, of calling in the cavalry and letting them handle the supernatural with whatever protocols they had for things that …" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |