| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.30% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1851 | | 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) | |
| 67.59% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1851 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "mechanical" | | 1 | "could feel" | | 2 | "pulse" | | 3 | "grave" | | 4 | "navigating" | | 5 | "electric" | | 6 | "flickered" | | 7 | "weight" | | 8 | "resolved" | | 9 | "rhythmic" | | 10 | "warmth" |
| |
| 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 | 134 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 134 | | filterMatches | | | hedgeMatches | | 0 | "happened to" | | 1 | "seemed to" |
| |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 134 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 53 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1828 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 64 | | wordCount | 1822 | | uniqueNames | 25 | | maxNameDensity | 0.55 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 2 | | Quinn | 10 | | Herrera | 10 | | Raven | 3 | | Nest | 3 | | Frith | 1 | | Street | 2 | | Saint | 1 | | Christopher | 1 | | Morris | 7 | | Harlow | 2 | | Old | 1 | | Compton | 1 | | Charing | 2 | | Cross | 2 | | Road | 2 | | Camden | 3 | | Tube | 2 | | Underground | 2 | | Bermondsey | 1 | | Armed | 1 | | Response | 1 | | Unit | 1 | | Glock | 2 | | London | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Herrera" | | 2 | "Raven" | | 3 | "Saint" | | 4 | "Christopher" | | 5 | "Morris" | | 6 | "Harlow" |
| | places | | 0 | "Soho" | | 1 | "Frith" | | 2 | "Street" | | 3 | "Old" | | 4 | "Compton" | | 5 | "Charing" | | 6 | "Cross" | | 7 | "Road" | | 8 | "Camden" | | 9 | "Bermondsey" | | 10 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 18.42% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 95 | | glossingSentenceCount | 5 | | matches | | 0 | "looked like a maintenance entrance—an old" | | 1 | "looked like" | | 2 | "materials that seemed to shift and settle like liquid when she wasn't looking directly at them" | | 3 | "looked like leaves" | | 4 | "not quite right, though she couldn't articulate why—and accepted a small wrapped package that he tucked inside his jacket" |
| |
| 90.59% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.094 | | wordCount | 1828 | | matches | | 0 | "not to look behind him, she realized, but ahead" | | 1 | "not colder, as she'd expected, but warmer, like descending into the throat of something alive" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 134 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 43.52 | | std | 28.31 | | cv | 0.651 | | sampleLengths | | 0 | 21 | | 1 | 81 | | 2 | 71 | | 3 | 72 | | 4 | 11 | | 5 | 49 | | 6 | 80 | | 7 | 39 | | 8 | 7 | | 9 | 84 | | 10 | 6 | | 11 | 60 | | 12 | 7 | | 13 | 72 | | 14 | 52 | | 15 | 2 | | 16 | 37 | | 17 | 44 | | 18 | 47 | | 19 | 14 | | 20 | 90 | | 21 | 46 | | 22 | 4 | | 23 | 44 | | 24 | 58 | | 25 | 4 | | 26 | 37 | | 27 | 7 | | 28 | 74 | | 29 | 50 | | 30 | 27 | | 31 | 103 | | 32 | 66 | | 33 | 25 | | 34 | 64 | | 35 | 46 | | 36 | 3 | | 37 | 58 | | 38 | 53 | | 39 | 10 | | 40 | 84 | | 41 | 19 |
| |
| 97.41% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 134 | | matches | | 0 | "been locked" | | 1 | "were tiled" | | 2 | "been transformed" |
| |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 14 | | totalVerbs | 316 | | matches | | 0 | "was gaining" | | 1 | "wasn't panicking" | | 2 | "was navigating" | | 3 | "was going" | | 4 | "was running" | | 5 | "was heading" | | 6 | "was standing" | | 7 | "were protecting" | | 8 | "were buying" | | 9 | "wasn't looking" | | 10 | "was watching" | | 11 | "was standing" | | 12 | "was seeing" | | 13 | "was still watching" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 23 | | semicolonCount | 1 | | flaggedSentences | 17 | | totalSentences | 134 | | ratio | 0.127 | | matches | | 0 | "The way Morris had taught her to run—don't chase, pursue; there's a difference, Harlow, it's in your breathing." | | 1 | "The clique—that's what they called themselves, the loose network of people operating out of The Raven's Nest and its hidden back room behind the bookshelf—had their fingers in something she couldn't yet name." | | 2 | "Quinn tracked his movement, reading the angle of his body, the way his head kept turning—not to look behind him, she realized, but ahead." | | 3 | "He knew she was there—he'd seen her when he came out the side door, their eyes had met for that electric fraction of a second under the green neon—but he was running toward something, not away from her." | | 4 | "She glanced up at the sky reflexively, but there was nothing to see—just low clouds the color of wet ash, underlit by the city." | | 5 | "Below was a service stairwell leading down to what looked like a maintenance entrance—an old access point to the Underground, sealed with a metal door that should have been locked and wasn't." | | 6 | "She could hear it now, beneath the rain—a low murmur that might have been voices, might have been the rumble of trains on a distant line, might have been something else entirely." | | 7 | "Three years, and she could still feel the weight of that night—the warehouse in Bermondsey, the door Morris had gone through while she waited for the Armed Response Unit, the sounds she'd heard from inside that she'd never been able to explain in her report." | | 8 | "Whatever they were protecting behind the bookshelf at The Raven's Nest, whatever they were buying and selling in an abandoned Tube station that changed locations with the phases of the moon—it was all down there." | | 9 | "She thought about the entry requirement she'd heard whispered about—a bone token, something you had to carry to gain access." | | 10 | "The walls were tiled in the old London Underground style—cream and dark green—but the tiles were cracked and weeping moisture, and someone had scratched symbols into the grout that she didn't recognize." | | 11 | "The amber light came from below, pulsing faintly, and as she descended she could feel the temperature change—not colder, as she'd expected, but warmer, like descending into the throat of something alive." | | 12 | "Voices, yes, but layered over other things—the clink of glass, a rhythmic hammering, something that might have been music played on instruments she couldn't identify." | | 13 | "Hundreds of people—if people was the right word—moved through the space, browsing, haggling, carrying parcels wrapped in cloth and paper and what looked like leaves." | | 14 | "He paused at a stall draped in dark fabric, spoke to the vendor—a woman whose proportions struck Quinn as not quite right, though she couldn't articulate why—and accepted a small wrapped package that he tucked inside his jacket." | | 15 | "A figure near the entrance—a broad man with skin the color and texture of tanned leather, sitting on an overturned crate—turned his head and looked directly at her." | | 16 | "Ahead of her, Herrera was moving deeper into the market, and she followed, keeping her distance, keeping her breathing steady, keeping her hand away from her weapon because whatever came next, she understood with a cold clarity that settled into her bones like rain—the gun was not going to help her here." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1852 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 46 | | adverbRatio | 0.024838012958963283 | | lyAdverbCount | 18 | | lyAdverbRatio | 0.009719222462203024 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 134 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 134 | | mean | 13.64 | | std | 11.09 | | cv | 0.813 | | sampleLengths | | 0 | 18 | | 1 | 3 | | 2 | 32 | | 3 | 6 | | 4 | 2 | | 5 | 6 | | 6 | 35 | | 7 | 3 | | 8 | 17 | | 9 | 21 | | 10 | 20 | | 11 | 4 | | 12 | 6 | | 13 | 9 | | 14 | 35 | | 15 | 8 | | 16 | 1 | | 17 | 1 | | 18 | 18 | | 19 | 1 | | 20 | 10 | | 21 | 20 | | 22 | 6 | | 23 | 7 | | 24 | 16 | | 25 | 8 | | 26 | 33 | | 27 | 15 | | 28 | 8 | | 29 | 2 | | 30 | 3 | | 31 | 11 | | 32 | 9 | | 33 | 24 | | 34 | 3 | | 35 | 3 | | 36 | 7 | | 37 | 7 | | 38 | 18 | | 39 | 17 | | 40 | 4 | | 41 | 38 | | 42 | 1 | | 43 | 5 | | 44 | 21 | | 45 | 3 | | 46 | 4 | | 47 | 8 | | 48 | 24 | | 49 | 2 |
| |
| 28.36% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 29 | | diversityRatio | 0.29850746268656714 | | totalSentences | 134 | | uniqueOpeners | 40 | |
| 81.30% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 123 | | matches | | 0 | "Still practicing medicine, but not" | | 1 | "Maybe that was enough." | | 2 | "Maybe Herrera had left it" |
| | ratio | 0.024 | |
| 44.39% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 54 | | totalSentences | 123 | | matches | | 0 | "She'd spotted Herrera ducking out" | | 1 | "She hadn't bothered calling it" | | 2 | "She'd just pushed off the" | | 3 | "He was fast." | | 4 | "She could see him half" | | 5 | "He was going to need" | | 6 | "She was gaining, or at" | | 7 | "She could feel her pulse" | | 8 | "She sidestepped them without breaking" | | 9 | "She'd been building the case" | | 10 | "He turned north again, heading" | | 11 | "He wasn't panicking." | | 12 | "He was navigating." | | 13 | "He knew exactly where he" | | 14 | "She pushed harder, closing the" | | 15 | "He knew she was there—he'd" | | 16 | "He was heading toward Camden." | | 17 | "She glanced up at the" | | 18 | "Her boots splashed through something" | | 19 | "It stood ajar, a wedge" |
| | ratio | 0.439 | |
| 25.04% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 107 | | totalSentences | 123 | | matches | | 0 | "The rain hit the pavement" | | 1 | "Harlow Quinn ran." | | 2 | "She'd spotted Herrera ducking out" | | 3 | "She hadn't bothered calling it" | | 4 | "She'd just pushed off the" | | 5 | "He was fast." | | 6 | "She could see him half" | | 7 | "The Saint Christopher medallion she'd" | | 8 | "Patron saint of travelers." | | 9 | "He was going to need" | | 10 | "Quinn's boots struck a puddle" | | 11 | "She was gaining, or at" | | 12 | "She could feel her pulse" | | 13 | "The way Morris had taught" | | 14 | "Herrera cut left on Old" | | 15 | "She sidestepped them without breaking" | | 16 | "A car horn blared somewhere" | | 17 | "The rain intensified, needling her" | | 18 | "She'd been building the case" | | 19 | "The clique—that's what they called" |
| | ratio | 0.87 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 123 | | matches | (empty) | | ratio | 0 | |
| 8.28% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 69 | | technicalSentenceCount | 13 | | matches | | 0 | "She was gaining, or at least not losing ground, her stride eating the distance with a mechanical efficiency that eighteen years of service and a body maintained…" | | 1 | "The clique—that's what they called themselves, the loose network of people operating out of The Raven's Nest and its hidden back room behind the bookshelf—had t…" | | 2 | "Quinn tracked his movement, reading the angle of his body, the way his head kept turning—not to look behind him, she realized, but ahead." | | 3 | "Below was a service stairwell leading down to what looked like a maintenance entrance—an old access point to the Underground, sealed with a metal door that shou…" | | 4 | "She could hear it now, beneath the rain—a low murmur that might have been voices, might have been the rumble of trains on a distant line, might have been someth…" | | 5 | "The amber light flickered as though cast by something other than electricity." | | 6 | "And now she was standing at the top of a stairwell that might lead to answers, or might lead to the same kind of door Morris had walked through and never come b…" | | 7 | "Whatever they were protecting behind the bookshelf at The Raven's Nest, whatever they were buying and selling in an abandoned Tube station that changed location…" | | 8 | "Voices, yes, but layered over other things—the clink of glass, a rhythmic hammering, something that might have been music played on instruments she couldn't ide…" | | 9 | "The air carried a smell that was partly incense, partly ozone, partly the hot-metal scent of a welding shop." | | 10 | "The old platform had been transformed into a marketplace, stalls and booths crowding every surface, some built from scavenged wood and corrugated metal, others …" | | 11 | "She thought about the eighteen years of service that had taught her to trust evidence and procedure and the chain of command, and how none of that architecture …" | | 12 | "Ahead of her, Herrera was moving deeper into the market, and she followed, keeping her distance, keeping her breathing steady, keeping her hand away from her we…" |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |