| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 96.79% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1556 | | 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) | |
| 71.08% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1556 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "flicker" | | 1 | "measured" | | 2 | "flickered" | | 3 | "electric" | | 4 | "velvet" | | 5 | "scanning" | | 6 | "footsteps" | | 7 | "echoed" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "The air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 134 | | matches | (empty) | |
| 89.55% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 3 | | narrationSentences | 134 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "appeared to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 135 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1539 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 1536 | | uniqueNames | 15 | | maxNameDensity | 0.65 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Thames | 1 | | Harlow | 1 | | Quinn | 10 | | Camden | 3 | | High | 1 | | Street | 1 | | London | 1 | | Town | 2 | | Friday | 1 | | Met | 1 | | Tube | 1 | | Veil | 1 | | Market | 1 | | Morris | 2 | | Peckham | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" |
| | places | | 0 | "Thames" | | 1 | "Camden" | | 2 | "High" | | 3 | "Street" | | 4 | "London" | | 5 | "Town" | | 6 | "Peckham" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 100 | | glossingSentenceCount | 2 | | matches | | 0 | "Connections that seemed to slip through the cracks of conventional investigation like water through a sieve" | | 1 | "tattoos that seemed to shift when you looked at them argued with a customer over the price of what appeared to be a leather-bound journal" |
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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 | 1539 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 135 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 42.75 | | std | 23.92 | | cv | 0.56 | | sampleLengths | | 0 | 69 | | 1 | 59 | | 2 | 34 | | 3 | 3 | | 4 | 43 | | 5 | 3 | | 6 | 62 | | 7 | 66 | | 8 | 40 | | 9 | 47 | | 10 | 62 | | 11 | 58 | | 12 | 64 | | 13 | 52 | | 14 | 42 | | 15 | 42 | | 16 | 77 | | 17 | 38 | | 18 | 57 | | 19 | 2 | | 20 | 80 | | 21 | 13 | | 22 | 94 | | 23 | 18 | | 24 | 50 | | 25 | 10 | | 26 | 51 | | 27 | 46 | | 28 | 43 | | 29 | 48 | | 30 | 8 | | 31 | 56 | | 32 | 6 | | 33 | 40 | | 34 | 54 | | 35 | 2 |
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| 86.93% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 7 | | totalSentences | 134 | | matches | | 0 | "been closed" | | 1 | "been removed" | | 2 | "were gone" | | 3 | "been leveled" | | 4 | "was gone" | | 5 | "were carved" | | 6 | "been trained" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 260 | | matches | | 0 | "was going" | | 1 | "was slipping" | | 2 | "weren't looking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 17 | | semicolonCount | 0 | | flaggedSentences | 15 | | totalSentences | 135 | | ratio | 0.111 | | matches | | 0 | "Twenty meters ahead, the suspect—a wiry man in a charcoal jacket—vaulted over a delivery crate and disappeared into the mouth of an alley." | | 1 | "Not the ones connected to the clique she'd been circling for months—this loose network of individuals who moved through London's underworld with connections that didn't make sense." | | 2 | "Pain flared across her right knee—an old injury from the service—and she bit down on it, kept moving." | | 3 | "Beyond it, she could see the entrance to the Camden Town tube station—or what remained of it." | | 4 | "The smell hit her first—iron and something older, something sweet and decayed, like flowers left too long in a vase." | | 5 | "Beyond it, a corridor sloped deeper underground—below the normal tracks, below the tunnels she'd walked during training exercises with the Met." | | 6 | "Her ears registered a change—the absence of the surface world's ambient noise." | | 7 | "Lanterns hung from hooks driven into the old tile walls—actual flames, not electric." | | 8 | "Somewhere, music played—strings, plucked and mournful." | | 9 | "She'd heard fragments about it for months—whispers from informants who'd gone silent, references in case files that led nowhere." | | 10 | "His eyes went to the weapon, to the badge clipped to her belt, and then to something behind her—checking for backup." | | 11 | "She knew that in the way you know a dog is hostile before it barks—something in the posture, the shift of attention." | | 12 | "The crowd shifted around her like water around a stone—giving her space, watching, assessing." | | 13 | "The air changed again—colder, denser, carrying the scent of damp earth and something chemical, something acrid that burned the back of her throat." | | 14 | "She'd followed leads that went cold, informants that vanished, patterns that suggested an organization operating parallel to the city she knew—a city beneath the city." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1555 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.024437299035369776 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.0038585209003215433 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 135 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 135 | | mean | 11.4 | | std | 7.37 | | cv | 0.646 | | sampleLengths | | 0 | 23 | | 1 | 23 | | 2 | 23 | | 3 | 3 | | 4 | 21 | | 5 | 11 | | 6 | 8 | | 7 | 9 | | 8 | 7 | | 9 | 8 | | 10 | 9 | | 11 | 5 | | 12 | 2 | | 13 | 10 | | 14 | 3 | | 15 | 14 | | 16 | 18 | | 17 | 11 | | 18 | 3 | | 19 | 4 | | 20 | 5 | | 21 | 10 | | 22 | 27 | | 23 | 16 | | 24 | 9 | | 25 | 6 | | 26 | 14 | | 27 | 18 | | 28 | 19 | | 29 | 4 | | 30 | 2 | | 31 | 5 | | 32 | 11 | | 33 | 18 | | 34 | 4 | | 35 | 19 | | 36 | 3 | | 37 | 6 | | 38 | 9 | | 39 | 6 | | 40 | 12 | | 41 | 20 | | 42 | 14 | | 43 | 12 | | 44 | 4 | | 45 | 13 | | 46 | 7 | | 47 | 12 | | 48 | 13 | | 49 | 7 |
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| 42.47% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.32592592592592595 | | totalSentences | 135 | | uniqueOpeners | 44 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 126 | | matches | | 0 | "Just the percussive drum of" | | 1 | "Then a flicker." | | 2 | "Just the distant drip of" | | 3 | "Somewhere, music played—strings, plucked and" | | 4 | "Ever since she'd watched her" |
| | ratio | 0.04 | |
| 93.02% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 126 | | matches | | 0 | "She didn't hesitate." | | 1 | "Her boots hit the pavement" | | 2 | "She couldn't see the face," | | 3 | "She knew the chase had" | | 4 | "His fingers found the rusted" | | 5 | "He moved like someone who" | | 6 | "She knew they'd do nothing." | | 7 | "They never did with the" | | 8 | "She holstered the weapon and" | | 9 | "She climbed fast, her shoulder" | | 10 | "He leaped a gap of" | | 11 | "Her boots caught the edge." | | 12 | "Her fingers scraped the gravel" | | 13 | "She caught his face for" | | 14 | "He had the look of" | | 15 | "He dropped down a ladder" | | 16 | "She descended the ladder with" | | 17 | "She didn't acknowledge it." | | 18 | "He was moving with purpose," | | 19 | "He knew where he was" |
| | ratio | 0.317 | |
| 63.17% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 100 | | totalSentences | 126 | | matches | | 0 | "The rain came down in" | | 1 | "Detective Harlow Quinn rounded the" | | 2 | "She didn't hesitate." | | 3 | "Her boots hit the pavement" | | 4 | "The leather watch on her" | | 5 | "She couldn't see the face," | | 6 | "She knew the chase had" | | 7 | "That was enough to narrow" | | 8 | "The alley stank of grease" | | 9 | "Garbage bags slumped against the" | | 10 | "Quinn swept left, then right." | | 11 | "The man reappeared at the" | | 12 | "His fingers found the rusted" | | 13 | "He moved like someone who" | | 14 | "The words were reflex." | | 15 | "She knew they'd do nothing." | | 16 | "They never did with the" | | 17 | "Connections that seemed to slip" | | 18 | "She holstered the weapon and" | | 19 | "She climbed fast, her shoulder" |
| | ratio | 0.794 | |
| 79.37% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 126 | | matches | | 0 | "By the time Quinn reached" | | 1 | "Because of something else." |
| | ratio | 0.016 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 68 | | technicalSentenceCount | 14 | | matches | | 0 | "He moved like someone who spent his nights running from things." | | 1 | "Not the ones connected to the clique she'd been circling for months—this loose network of individuals who moved through London's underworld with connections tha…" | | 2 | "Connections that seemed to slip through the cracks of conventional investigation like water through a sieve." | | 3 | "Quinn pushed harder, her lungs aching, the cold air scraping her throat." | | 4 | "The walls were raw concrete that transitioned into older brick as she descended, the surface slick with moisture and scored with symbols she didn't recognize." | | 5 | "A man with tattoos that seemed to shift when you looked at them argued with a customer over the price of what appeared to be a leather-bound journal." | | 6 | "She'd heard fragments about it for months—whispers from informants who'd gone silent, references in case files that led nowhere." | | 7 | "An underground black market that dealt in things that didn't fit her understanding of the world." | | 8 | "Things that had been the edge of her nightmares ever since the Morris case." | | 9 | "He was slipping behind a curtain of heavy black fabric that partitioned off a section of the market." | | 10 | "The crowd shifted around her like water around a stone—giving her space, watching, assessing." | | 11 | "The stairs were carved from stone, each step uneven, worn smooth by feet that had traversed this path for longer than the city above had existed." | | 12 | "Three years of chasing shadows, of building cases that evaporated when she got close, of finding evidence that contradicted everything she'd been trained to bel…" | | 13 | "She'd followed leads that went cold, informants that vanished, patterns that suggested an organization operating parallel to the city she knew—a city beneath th…" |
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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 | |