| 23.53% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 3 | | adverbTags | | 0 | "Quinn repeated softly [softly]" | | 1 | "Quinn said quietly [quietly]" | | 2 | "Miller scoffed lightly [lightly]" |
| | dialogueSentences | 32 | | tagDensity | 0.531 | | leniency | 1 | | rawRatio | 0.176 | | effectiveRatio | 0.176 | |
| 76.78% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1292 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "softly" | | 1 | "completely" | | 2 | "carefully" | | 3 | "lightly" | | 4 | "quickly" |
| |
| 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) | |
| 53.56% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1292 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "familiar" | | 1 | "stark" | | 2 | "reminder" | | 3 | "weight" | | 4 | "perfect" | | 5 | "glint" | | 6 | "etched" | | 7 | "intricate" | | 8 | "magnetic" | | 9 | "rhythmic" | | 10 | "furrowed" |
| |
| 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 | 67 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 67 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 82 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 59 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1285 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 46.59% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 967 | | uniqueNames | 15 | | maxNameDensity | 2.07 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 2 | | Harlow | 1 | | Quinn | 20 | | Tube | 1 | | Camden | 1 | | Constable | 1 | | Miller | 8 | | Morris | 1 | | Whitechapel | 1 | | London | 1 | | Veil | 1 | | Market | 1 | | British | 1 | | Museum | 1 | | Kowalski | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Constable" | | 3 | "Miller" | | 4 | "Morris" | | 5 | "Market" | | 6 | "Kowalski" |
| | places | | 0 | "Whitechapel" | | 1 | "London" | | 2 | "British" |
| | globalScore | 0.466 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 1 | | matches | | 0 | "smelled like scorched ozone and damp river" |
| |
| 44.36% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.556 | | wordCount | 1285 | | matches | | 0 | "not sliced by a blade, but shredded, as if a burst of compressed air had erupted from i" | | 1 | "not by age, but pulverized into a fine, white powder" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 82 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 38.94 | | std | 23.11 | | cv | 0.593 | | sampleLengths | | 0 | 57 | | 1 | 80 | | 2 | 20 | | 3 | 11 | | 4 | 52 | | 5 | 20 | | 6 | 74 | | 7 | 24 | | 8 | 58 | | 9 | 52 | | 10 | 16 | | 11 | 40 | | 12 | 69 | | 13 | 45 | | 14 | 15 | | 15 | 28 | | 16 | 42 | | 17 | 18 | | 18 | 76 | | 19 | 81 | | 20 | 12 | | 21 | 18 | | 22 | 60 | | 23 | 30 | | 24 | 21 | | 25 | 17 | | 26 | 69 | | 27 | 14 | | 28 | 51 | | 29 | 4 | | 30 | 58 | | 31 | 18 | | 32 | 35 |
| |
| 84.32% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 67 | | matches | | 0 | "was torn" | | 1 | "been wiped" | | 2 | "was corroded" | | 3 | "been closed" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 147 | | matches | | 0 | "was talking" | | 1 | "wasn't talking" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 1 | | flaggedSentences | 8 | | totalSentences | 82 | | ratio | 0.098 | | matches | | 0 | "Outside that circle, the dust was undisturbed—except for a single set of tracks leading toward the body from the platform stairs, and the boot prints left by the transit officers who had found him." | | 1 | "Something caught the beam of her light—a glint of yellow metal buried in a crevice where the flagstones met the curved wall of the tunnel." | | 2 | "etched directly into the glass were delicate, intricate sigils—geometric shapes that didn't correspond to any nautical or military markings Quinn had ever seen during her time in service." | | 3 | "It stirred a cold, quiet memory in the back of her mind—a feeling she hadn't felt in three years, not since the night DS Morris vanished during a raid on an empty warehouse in Whitechapel." | | 4 | "The brick was ice cold—far colder than the surrounding ambient temperature of the tunnel." | | 5 | "She wasn't talking to Miller anymore; she was talking to the evidence." | | 6 | "She remembered the rumors that had cropped up on the fringes of her investigations over the past six months—informants talking in hushed tones about a shadow market that moved through the subterranean veins of London, a place where people bought things that didn't exist in city ledgers." | | 7 | "She pictured the file she had glanced over just yesterday—a research assistant from the British Museum who seemed to show up on the periphery of three different open inquiries." |
| |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 978 | | adjectiveStacks | 2 | | stackExamples | | 0 | "familiar, sickly sweet reek" | | 1 | "High above, faint reverberations" |
| | adverbCount | 24 | | adverbRatio | 0.024539877300613498 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.016359918200409 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 82 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 82 | | mean | 15.67 | | std | 10.86 | | cv | 0.693 | | sampleLengths | | 0 | 12 | | 1 | 20 | | 2 | 25 | | 3 | 17 | | 4 | 18 | | 5 | 27 | | 6 | 18 | | 7 | 16 | | 8 | 4 | | 9 | 11 | | 10 | 21 | | 11 | 19 | | 12 | 12 | | 13 | 20 | | 14 | 15 | | 15 | 59 | | 16 | 4 | | 17 | 20 | | 18 | 14 | | 19 | 12 | | 20 | 32 | | 21 | 6 | | 22 | 13 | | 23 | 33 | | 24 | 7 | | 25 | 9 | | 26 | 27 | | 27 | 8 | | 28 | 5 | | 29 | 13 | | 30 | 22 | | 31 | 34 | | 32 | 14 | | 33 | 31 | | 34 | 10 | | 35 | 5 | | 36 | 13 | | 37 | 12 | | 38 | 3 | | 39 | 17 | | 40 | 25 | | 41 | 12 | | 42 | 6 | | 43 | 10 | | 44 | 17 | | 45 | 28 | | 46 | 8 | | 47 | 13 | | 48 | 7 | | 49 | 9 |
| |
| 80.49% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.5121951219512195 | | totalSentences | 82 | | uniqueOpeners | 42 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 65 | | matches | | 0 | "It wasn’t the familiar, sickly" | | 1 | "It smelled like scorched ozone" | | 2 | "She pulled her coat tighter" | | 3 | "He looked pale, even under" | | 4 | "She crouched on her heels," | | 5 | "He lay on his back," | | 6 | "She reached down, her gloved" | | 7 | "She pointed to the ground" | | 8 | "She stepped to the edge" | | 9 | "She carefully worked the object" | | 10 | "It was a small brass" | | 11 | "It spun in slow, rhythmic" | | 12 | "It stirred a cold, quiet" | | 13 | "She stood up and turned" | | 14 | "She ran her gloved hand" | | 15 | "She wasn't talking to Miller" | | 16 | "She remembered the rumors that" | | 17 | "She had dismissed it as" | | 18 | "She pictured the file she" |
| | ratio | 0.292 | |
| 44.62% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 65 | | matches | | 0 | "The smell reached Detective Harlow" | | 1 | "It wasn’t the familiar, sickly" | | 2 | "It smelled like scorched ozone" | | 3 | "She pulled her coat tighter" | | 4 | "Dust motes danced in the" | | 5 | "Quinn tapped the face of" | | 6 | "a voice called from the" | | 7 | "Quinn stepped over a web" | | 8 | "Detective Constable Miller stood near" | | 9 | "He looked pale, even under" | | 10 | "Quinn asked, her voice clipped," | | 11 | "Miller said, pointing a gloved" | | 12 | "Quinn didn't answer immediately." | | 13 | "She crouched on her heels," | | 14 | "The victim was an older" | | 15 | "He lay on his back," | | 16 | "Quinn repeated softly" | | 17 | "She reached down, her gloved" | | 18 | "Miller leaned in, his eyebrows" | | 19 | "Quinn shifted her weight, her" |
| | ratio | 0.831 | |
| 76.92% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 65 | | matches | | 0 | "Now, looking at the brass" |
| | ratio | 0.015 | |
| 46.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 5 | | matches | | 0 | "She pulled her coat tighter against the draft that rattled through the abandoned Tube station beneath Camden." | | 1 | "Outside that circle, the dust was undisturbed—except for a single set of tracks leading toward the body from the platform stairs, and the boot prints left by th…" | | 2 | "etched directly into the glass were delicate, intricate sigils—geometric shapes that didn't correspond to any nautical or military markings Quinn had ever seen …" | | 3 | "She remembered the rumors that had cropped up on the fringes of her investigations over the past six months—informants talking in hushed tones about a shadow ma…" | | 4 | "She pictured the file she had glanced over just yesterday—a research assistant from the British Museum who seemed to show up on the periphery of three different…" |
| |
| 66.18% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 2 | | matches | | 0 | "Quinn shifted, her boots crunching on the soot-covered gravel" | | 1 | "Quinn said, a cold certainty taking root in her chest" |
| |
| 87.50% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 2 | | fancyTags | | 0 | "Quinn repeated softly (repeat)" | | 1 | "Quinn muttered (mutter)" |
| | dialogueSentences | 32 | | tagDensity | 0.406 | | leniency | 0.813 | | rawRatio | 0.154 | | effectiveRatio | 0.125 | |