| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 28 | | tagDensity | 0.321 | | leniency | 0.643 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1427 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1427 | | totalAiIsms | 30 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | word | "practiced ease" | | count | 1 |
| | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "treacherous" | | 1 | "flickered" | | 2 | "rhythmic" | | 3 | "weight" | | 4 | "echoing" | | 5 | "gloom" | | 6 | "silence" | | 7 | "footsteps" | | 8 | "constructed" | | 9 | "velvet" | | 10 | "practiced ease" | | 11 | "whisper" | | 12 | "synchronized" | | 13 | "pulse" | | 14 | "tapestry" | | 15 | "etched" | | 16 | "echoed" | | 17 | "vibrated" | | 18 | "kaleidoscope" | | 19 | "loomed" |
| |
| 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 | 108 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 108 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 127 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1427 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 1264 | | uniqueNames | 16 | | maxNameDensity | 1.19 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 15 | | Raven | 1 | | Nest | 1 | | London | 1 | | Morris | 1 | | Atlantic | 1 | | Tube | 1 | | Camden | 1 | | Veil | 1 | | Market | 1 | | Saint | 1 | | Christopher | 1 | | Tomás | 4 | | Herrera | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Nest" | | 4 | "Morris" | | 5 | "Camden" | | 6 | "Market" | | 7 | "Saint" | | 8 | "Christopher" | | 9 | "Tomás" | | 10 | "Herrera" |
| | places | | | globalScore | 0.907 | | windowScore | 0.833 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 82 | | glossingSentenceCount | 5 | | matches | | 0 | "quite account for" | | 1 | "terror that seemed to transcend the mere fear of arrest" | | 2 | "felt like cold skin" | | 3 | "felt like it was shifting around her" | | 4 | "runes that seemed to pulse with a dull, rhythmic light" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.701 | | wordCount | 1427 | | matches | | 0 | "not toward the stairs, but deeper into the labyrinth of the market, weaving through the" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 127 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 60 | | mean | 23.78 | | std | 17.22 | | cv | 0.724 | | sampleLengths | | 0 | 3 | | 1 | 51 | | 2 | 42 | | 3 | 47 | | 4 | 2 | | 5 | 45 | | 6 | 50 | | 7 | 30 | | 8 | 5 | | 9 | 11 | | 10 | 51 | | 11 | 2 | | 12 | 51 | | 13 | 31 | | 14 | 7 | | 15 | 48 | | 16 | 3 | | 17 | 63 | | 18 | 5 | | 19 | 10 | | 20 | 47 | | 21 | 11 | | 22 | 40 | | 23 | 11 | | 24 | 10 | | 25 | 33 | | 26 | 5 | | 27 | 32 | | 28 | 32 | | 29 | 15 | | 30 | 17 | | 31 | 51 | | 32 | 40 | | 33 | 37 | | 34 | 12 | | 35 | 32 | | 36 | 7 | | 37 | 6 | | 38 | 28 | | 39 | 2 | | 40 | 33 | | 41 | 36 | | 42 | 35 | | 43 | 12 | | 44 | 2 | | 45 | 17 | | 46 | 20 | | 47 | 1 | | 48 | 27 | | 49 | 13 |
| |
| 98.77% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 108 | | matches | | 0 | "was hunched" | | 1 | "was gone" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 204 | | matches | | 0 | "were hawking" | | 1 | "were breathing" | | 2 | "was shifting" |
| |
| 75.37% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 3 | | flaggedSentences | 3 | | totalSentences | 127 | | ratio | 0.024 | | matches | | 0 | "The walls here weren't brick or concrete; they were ancient, weeping masonry that felt unnervingly organic to the touch." | | 1 | "A woman in a velvet cloak held up a jar of swirling, iridescent smoke; a man with skin the colour of bruised plums displayed a row of jagged, obsidian daggers." | | 2 | "It wasn't just the absence of light; it was a physical presence, a heavy, suffocating weight that surged forward from the shadows." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1265 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.01818181818181818 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.003952569169960474 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 127 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 127 | | mean | 11.24 | | std | 6.78 | | cv | 0.604 | | sampleLengths | | 0 | 3 | | 1 | 9 | | 2 | 14 | | 3 | 12 | | 4 | 16 | | 5 | 8 | | 6 | 8 | | 7 | 26 | | 8 | 13 | | 9 | 17 | | 10 | 6 | | 11 | 11 | | 12 | 2 | | 13 | 4 | | 14 | 18 | | 15 | 4 | | 16 | 19 | | 17 | 6 | | 18 | 11 | | 19 | 14 | | 20 | 9 | | 21 | 10 | | 22 | 5 | | 23 | 25 | | 24 | 5 | | 25 | 1 | | 26 | 10 | | 27 | 2 | | 28 | 17 | | 29 | 24 | | 30 | 8 | | 31 | 2 | | 32 | 15 | | 33 | 17 | | 34 | 19 | | 35 | 5 | | 36 | 7 | | 37 | 19 | | 38 | 7 | | 39 | 9 | | 40 | 22 | | 41 | 17 | | 42 | 3 | | 43 | 12 | | 44 | 21 | | 45 | 30 | | 46 | 5 | | 47 | 10 | | 48 | 12 | | 49 | 23 |
| |
| 34.25% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 20 | | diversityRatio | 0.2992125984251969 | | totalSentences | 127 | | uniqueOpeners | 38 | |
| 98.04% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 102 | | matches | | 0 | "Instead, he veered left, diving" | | 1 | "Only the rhythmic drip of" | | 2 | "Then, the sound hit her." |
| | ratio | 0.029 | |
| 78.82% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 102 | | matches | | 0 | "She pushed her lungs to" | | 1 | "She focused on the rhythmic" | | 2 | "He didn't even hesitate." | | 3 | "He threw his weight against" | | 4 | "She pulled her service weapon," | | 5 | "It wasn't the usual stench" | | 6 | "She peered into the gloom." | | 7 | "Her training screamed at her" | | 8 | "She couldn't lose another one" | | 9 | "It wasn't the silence of" | | 10 | "It was a low, buzzing" | | 11 | "She rounded a sharp bend" | | 12 | "He looked unremarkable at first," | | 13 | "He stood with a calm," | | 14 | "He rubbed a faint scar" | | 15 | "He gestured to her gun." | | 16 | "He stepped closer, his voice" | | 17 | "She moved into the throng," | | 18 | "It felt as though the" | | 19 | "She spotted him near a" |
| | ratio | 0.353 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 95 | | totalSentences | 102 | | matches | | 0 | "The shout died in the" | | 1 | "Rain lashed against the pavement," | | 2 | "Detective Harlow Quinn lunged forward," | | 3 | "She pushed her lungs to" | | 4 | "Every breath tasted of wet" | | 5 | "The pursuit had begun three" | | 6 | "A neon green sign flickered" | | 7 | "The Raven's Nest sat silent," | | 8 | "Quinn didn't spare it a" | | 9 | "She focused on the rhythmic" | | 10 | "The suspect didn't slow." | | 11 | "He didn't even hesitate." | | 12 | "He threw his weight against" | | 13 | "Quinn reached the hatch seconds" | | 14 | "She pulled her service weapon," | | 15 | "The scent of damp earth" | | 16 | "It wasn't the usual stench" | | 17 | "This was richer, smelling of" | | 18 | "She peered into the gloom." | | 19 | "The hatch led to a" |
| | ratio | 0.931 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 102 | | matches | (empty) | | ratio | 0 | |
| 49.18% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 61 | | technicalSentenceCount | 8 | | matches | | 0 | "The pursuit had begun three blocks back outside a gambling den, but the target had moved with a frantic, unnatural speed that defied his lanky frame." | | 1 | "The walls here weren't brick or concrete; they were ancient, weeping masonry that felt unnervingly organic to the touch." | | 2 | "The vaulted ceilings, once grey and utilitarian, were now draped in shimmering, translucent silks that caught the light of hovering, amber lanterns." | | 3 | "Vendors with eyes that caught the light in ways no human eyes should were hawking wares that made Quinn’s skin crawl." | | 4 | "He stood with a calm, practiced ease, his warm brown eyes fixed on her with a pity that stung more than an insult." | | 5 | "It felt as though the station were breathing, a slow, rhythmic expansion that matched her own panicked pulse." | | 6 | "The suspect was there, trapped against a heavy stone wall etched with runes that seemed to pulse with a dull, rhythmic light." | | 7 | "It was something older, something that had been waiting in the dark for a long, long time." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 3 | | matches | | 0 | "Quinn said, her voice tight" | | 1 | "Quinn yelled, her voice cracking the low hum of the market" | | 2 | "the man gasped, his breath coming in ragged, wet stabs" |
| |
| 42.86% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 3 | | fancyTags | | 0 | "Quinn yelled (yell)" | | 1 | "he hissed (hiss)" | | 2 | "the man gasped (gasp)" |
| | dialogueSentences | 28 | | tagDensity | 0.214 | | leniency | 0.429 | | rawRatio | 0.5 | | effectiveRatio | 0.214 | |