| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 12 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.55% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1588 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slightly" | | 1 | "completely" | | 2 | "slowly" |
| |
| 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) | |
| 49.62% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1588 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "measured" | | 1 | "glint" | | 2 | "familiar" | | 3 | "gloom" | | 4 | "scanned" | | 5 | "cataloged" | | 6 | "weight" | | 7 | "chill" | | 8 | "velvet" | | 9 | "crystal" | | 10 | "flicker" | | 11 | "shattered" | | 12 | "palpable" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "air was thick with" | | count | 1 |
|
| | highlights | | 0 | "eyes widened" | | 1 | "The air was thick with" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 120 | | matches | | |
| 95.24% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 120 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 126 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 56 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 6 | | markdownWords | 56 | | totalWords | 1580 | | ratio | 0.035 | | matches | | 0 | "Too easy." | | 1 | "The Veil Market. Rumors. Whispers in briefing rooms that nobody took seriously." | | 2 | "Call it in. Secure the perimeter. Wait for backup that won’t come, not for a place that doesn’t officially exist." | | 3 | "He’s just a man. Running. Probably spooked." | | 4 | "Not yet. Don’t start something you can’t finish in a place you don’t understand." | | 5 | "shipment" |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 1464 | | uniqueNames | 11 | | maxNameDensity | 1.16 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 2 | | Quinn | 17 | | Raven | 1 | | Nest | 1 | | Soho | 1 | | Morris | 3 | | Camden | 1 | | Veil | 3 | | Market | 3 | | Tube | 2 | | Detective | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Morris" | | 4 | "Market" |
| | places | | | globalScore | 0.919 | | windowScore | 0.5 | |
| 89.76% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 83 | | glossingSentenceCount | 2 | | matches | | 0 | "quite match the rest—newer mortar, a hairline crack at the base" | | 1 | "darkness that seemed to absorb the light, its form indistinct but its intent clear—a palpable wave of cold, ancient malice" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.633 | | wordCount | 1580 | | matches | | 0 | "not at her question, but at something behind her" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 126 | | matches | (empty) | |
| 90.26% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 54.48 | | std | 25.38 | | cv | 0.466 | | sampleLengths | | 0 | 59 | | 1 | 73 | | 2 | 94 | | 3 | 66 | | 4 | 47 | | 5 | 70 | | 6 | 86 | | 7 | 81 | | 8 | 32 | | 9 | 36 | | 10 | 2 | | 11 | 46 | | 12 | 81 | | 13 | 118 | | 14 | 53 | | 15 | 69 | | 16 | 68 | | 17 | 33 | | 18 | 63 | | 19 | 26 | | 20 | 39 | | 21 | 40 | | 22 | 59 | | 23 | 34 | | 24 | 16 | | 25 | 45 | | 26 | 13 | | 27 | 71 | | 28 | 60 |
| |
| 93.57% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 120 | | matches | | 0 | "was gone" | | 1 | "was punctuated" | | 2 | "was pushed" | | 3 | "was gone" |
| |
| 81.48% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 225 | | matches | | 0 | "was losing" | | 1 | "was heading" | | 2 | "was leading" | | 3 | "wasn’t chasing" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 2 | | flaggedSentences | 8 | | totalSentences | 126 | | ratio | 0.063 | | matches | | 0 | "The noise of the city—the honk of a distant taxi, the hiss of tires on wet roads, the thump of bass from a club—faded to a dull roar." | | 1 | "She followed the invisible trail to a section of brick wall that didn’t quite match the rest—newer mortar, a hairline crack at the base." | | 2 | "The Veil Market sprawled before her in a vast, vaulted chamber—clearly an abandoned Tube station, the tiled walls scarred with age, the rails still visible in patches beneath makeshift stalls and tables." | | 3 | "Figures moved in the gloom: a woman with tattoos that shifted like living ink haggled over a jar of something that glowed blue; a man with eyes that reflected the light like a cat’s sold polished stones from a velvet cloth; a stall draped in shadow offered whispers for sale, the vendor’s voice a dry rustle." | | 4 | "But his eyes—when they met Quinn’s—held not just fear." | | 5 | "The alley, the stairs, the impossible market—it all coalesced into this moment." | | 6 | "Quinn felt the change in the air first—a sudden drop in temperature, the smell of ozone intensifying." | | 7 | "It was a figure cloaked in darkness that seemed to absorb the light, its form indistinct but its intent clear—a palpable wave of cold, ancient malice." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1479 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.022988505747126436 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.0074374577417173765 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 126 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 126 | | mean | 12.54 | | std | 9.34 | | cv | 0.745 | | sampleLengths | | 0 | 16 | | 1 | 20 | | 2 | 19 | | 3 | 4 | | 4 | 37 | | 5 | 14 | | 6 | 22 | | 7 | 3 | | 8 | 28 | | 9 | 28 | | 10 | 13 | | 11 | 6 | | 12 | 16 | | 13 | 20 | | 14 | 15 | | 15 | 24 | | 16 | 3 | | 17 | 4 | | 18 | 13 | | 19 | 10 | | 20 | 19 | | 21 | 3 | | 22 | 2 | | 23 | 8 | | 24 | 7 | | 25 | 10 | | 26 | 24 | | 27 | 3 | | 28 | 2 | | 29 | 16 | | 30 | 7 | | 31 | 16 | | 32 | 22 | | 33 | 7 | | 34 | 1 | | 35 | 12 | | 36 | 20 | | 37 | 1 | | 38 | 6 | | 39 | 4 | | 40 | 3 | | 41 | 3 | | 42 | 20 | | 43 | 32 | | 44 | 13 | | 45 | 4 | | 46 | 1 | | 47 | 14 | | 48 | 13 | | 49 | 13 |
| |
| 34.92% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 21 | | diversityRatio | 0.30952380952380953 | | totalSentences | 126 | | uniqueOpeners | 39 | |
| 60.61% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 110 | | matches | | 0 | "All that existed was the" | | 1 | "Probably spooked.* But his movements" |
| | ratio | 0.018 | |
| 70.91% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 41 | | totalSentences | 110 | | matches | | 0 | "Her breath was steady, a" | | 1 | "She was losing him." | | 2 | "He was a shadow fifty" | | 3 | "He’d moved with a preternatural" | | 4 | "He was heading for the" | | 5 | "He knew it." | | 6 | "He was leading her." | | 7 | "She saw his silhouette merge" | | 8 | "Her instincts screamed." | | 9 | "Her eyes scanned, adjusted to" | | 10 | "She followed the invisible trail" | | 11 | "She pressed her shoulder to" | | 12 | "It gave with a grinding" | | 13 | "*He’s just a man." | | 14 | "They’d been the sure-footed escape" | | 15 | "She left the bone token" | | 16 | "She didn’t need an invitation." | | 17 | "She was the law." | | 18 | "It was a chaos of" | | 19 | "They sold enchanted knives, bottled" |
| | ratio | 0.373 | |
| 41.82% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 92 | | totalSentences | 110 | | matches | | 0 | "The rain fell in silver" | | 1 | "Detective Harlow Quinn’s shoes slapped" | | 2 | "Her breath was steady, a" | | 3 | "She was losing him." | | 4 | "He was a shadow fifty" | | 5 | "He’d moved with a preternatural" | | 6 | "Quinn’s focus narrowed." | | 7 | "The noise of the city—the" | | 8 | "DS Morris would have appreciated" | | 9 | "A cold, familiar ache settled" | | 10 | "The suspect rounded a corner" | | 11 | "Quinn pushed harder, her sharp" | | 12 | "He was heading for the" | | 13 | "He knew it." | | 14 | "He was leading her." | | 15 | "She saw his silhouette merge" | | 16 | "The alley was a dead" | | 17 | "Her instincts screamed." | | 18 | "Her eyes scanned, adjusted to" | | 19 | "A scuff mark on a" |
| | ratio | 0.836 | |
| 45.45% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 110 | | matches | | 0 | "Now, he darted through the" |
| | ratio | 0.009 | |
| 31.25% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 64 | | technicalSentenceCount | 10 | | matches | | 0 | "He was a shadow fifty yards ahead, a lean figure in a dark hoodie who’d slipped out of the back door of The Raven’s Nest just as Quinn’s hand had brushed the co…" | | 1 | "Quinn pushed harder, her sharp jaw set against the rain that streamed down her face." | | 2 | "A faint disturbance in a puddle that wasn’t yet rain-rippled." | | 3 | "A bone token, worn smooth, hung from a nail just inside the entrance, swaying slightly as if brushed by a fleeing hand." | | 4 | "They’d been the sure-footed escape of someone who knew the city’s hidden grammar." | | 5 | "The passage opened up, and the darkness was punctuated by the sickly green glow of chemical lamps and the occasional flare of something that burned with a pure,…" | | 6 | "Figures moved in the gloom: a woman with tattoos that shifted like living ink haggled over a jar of something that glowed blue; a man with eyes that reflected t…" | | 7 | "They sold enchanted knives, bottled alchemical substances that fizzed with internal light, scrolls tied with hair, amulets carved from bone." | | 8 | "He gave a short, sharp laugh that was more panic than amusement." | | 9 | "It was a figure cloaked in darkness that seemed to absorb the light, its form indistinct but its intent clear—a palpable wave of cold, ancient malice." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 2 | | matches | | 0 | "Quinn said, her voice hard and clear in the confined space" | | 1 | "the young man breathed, his voice breaking" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 3 | | fancyTags | | 0 | "he whispered (whisper)" | | 1 | "she demanded (demand)" | | 2 | "the young man breathed (breathe)" |
| | dialogueSentences | 12 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.75 | | effectiveRatio | 0.5 | |