| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 12 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 78.78% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1178 | | totalAiIsmAdverbs | 5 | | found | | 0 | | adverb | "deliberately" | | count | 1 |
| | 1 | | | 2 | | | 3 | | | 4 | |
| | highlights | | 0 | "deliberately" | | 1 | "quickly" | | 2 | "softly" | | 3 | "slowly" | | 4 | "very" |
| |
| 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 | 1178 | | totalAiIsms | 26 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | |
| | highlights | | 0 | "pounding" | | 1 | "chaotic" | | 2 | "raced" | | 3 | "flicked" | | 4 | "echoing" | | 5 | "glint" | | 6 | "maw" | | 7 | "potential" | | 8 | "flickered" | | 9 | "familiar" | | 10 | "otherworldly" | | 11 | "delving" | | 12 | "unspoken" | | 13 | "macabre" | | 14 | "whisper" | | 15 | "almost alive" | | 16 | "tapestry" | | 17 | "oppressive" | | 18 | "clandestine" | | 19 | "weight" | | 20 | "chilling" | | 21 | "intricate" | | 22 | "dance" |
| |
| 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 | 1 | | narrationSentences | 88 | | matches | | |
| 94.16% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 88 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 90 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1173 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 47.77% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 1076 | | uniqueNames | 14 | | maxNameDensity | 2.04 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 1 | | Harlow | 2 | | Quinn | 22 | | Soho | 1 | | Tube | 3 | | Raven | 1 | | Nest | 1 | | Veil | 2 | | Market | 4 | | Tomás | 1 | | Herrera | 1 | | Morris | 1 | | Saint | 1 | | Christopher | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Tomás" | | 4 | "Herrera" | | 5 | "Morris" | | 6 | "Saint" | | 7 | "Christopher" |
| | places | | | globalScore | 0.478 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 78 | | glossingSentenceCount | 1 | | matches | | 0 | "eyes that seemed to pierce through the darkness and her very being" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1173 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 90 | | matches | (empty) | |
| 56.02% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 41.89 | | std | 14.5 | | cv | 0.346 | | sampleLengths | | 0 | 56 | | 1 | 61 | | 2 | 45 | | 3 | 40 | | 4 | 44 | | 5 | 41 | | 6 | 50 | | 7 | 47 | | 8 | 42 | | 9 | 33 | | 10 | 37 | | 11 | 79 | | 12 | 39 | | 13 | 52 | | 14 | 24 | | 15 | 35 | | 16 | 17 | | 17 | 35 | | 18 | 39 | | 19 | 68 | | 20 | 53 | | 21 | 13 | | 22 | 44 | | 23 | 29 | | 24 | 33 | | 25 | 50 | | 26 | 18 | | 27 | 49 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 88 | | matches | (empty) | |
| 90.71% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 183 | | matches | | 0 | "was beginning" | | 1 | "was slipping" | | 2 | "was disorienting" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 2 | | flaggedSentences | 12 | | totalSentences | 90 | | ratio | 0.133 | | matches | | 0 | "Her breath came in sharp, controlled bursts; eyes keen beneath the brim of her newsboy cap." | | 1 | "Ahead, a shadowy figure – her suspect." | | 2 | "She noted it with passing interest—right now, her attention was on her suspect." | | 3 | "Quinn had only heard whispers of its existence — a realm beneath the surface where the lines between the natural and supernatural blurred." | | 4 | "A flash of movement—her suspect had blended into the crowd, now weaving between stands of enchanted goods and obscured secrets." | | 5 | "Quinn stayed focused, her suspect’s form a whisper ahead—visible only in brief flashes." | | 6 | "The specter she followed darted past a vendor selling rare, ancient maps—the edges frayed and colors almost alive in their intricacy." | | 7 | "Her senses were taut—a stretch of vibrance against the oppressive market atmosphere." | | 8 | "Her suspect stood there—cornered." | | 9 | "“Stop right there.” Quinn’s voice was low, steady—a command that brooked no refusal." | | 10 | "The figure turned slowly, revealing a young man with pale skin and striking blue eyes—eyes that seemed to pierce through the darkness and her very being." | | 11 | "From the corner, unseen by all but the deepest shadows, an ethereal presence shifted; the dance of something ancient and unexplained beginning to stir the air once more, leading Quinn into a labyrinth far removed from familiar streets." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 474 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.0379746835443038 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.010548523206751054 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 90 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 90 | | mean | 13.03 | | std | 6.32 | | cv | 0.485 | | sampleLengths | | 0 | 16 | | 1 | 16 | | 2 | 7 | | 3 | 17 | | 4 | 12 | | 5 | 5 | | 6 | 12 | | 7 | 18 | | 8 | 14 | | 9 | 10 | | 10 | 11 | | 11 | 8 | | 12 | 16 | | 13 | 13 | | 14 | 7 | | 15 | 13 | | 16 | 7 | | 17 | 13 | | 18 | 19 | | 19 | 3 | | 20 | 4 | | 21 | 5 | | 22 | 21 | | 23 | 7 | | 24 | 13 | | 25 | 7 | | 26 | 11 | | 27 | 20 | | 28 | 12 | | 29 | 8 | | 30 | 12 | | 31 | 6 | | 32 | 21 | | 33 | 3 | | 34 | 23 | | 35 | 16 | | 36 | 6 | | 37 | 27 | | 38 | 8 | | 39 | 8 | | 40 | 4 | | 41 | 17 | | 42 | 12 | | 43 | 13 | | 44 | 7 | | 45 | 18 | | 46 | 19 | | 47 | 10 | | 48 | 20 | | 49 | 4 |
| |
| 59.26% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.4222222222222222 | | totalSentences | 90 | | uniqueOpeners | 38 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 87 | | matches | (empty) | | ratio | 0 | |
| 82.07% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 87 | | matches | | 0 | "Her breath came in sharp," | | 1 | "They darted into an alleyway." | | 2 | "Her salt-and-pepper hair, cropped close" | | 3 | "Her watch, a constant companion," | | 4 | "She hurdled over it, not" | | 5 | "She had pursued criminals through" | | 6 | "She knew these stations." | | 7 | "She noted it with passing" | | 8 | "Her feet pounded down the" | | 9 | "It was enough to tell" | | 10 | "She was not in the" | | 11 | "she muttered, eyes narrowing" | | 12 | "She spotted Tomás Herrera, his" | | 13 | "He had his usual stall," | | 14 | "Their eyes met briefly, but" | | 15 | "He had moved closer while" | | 16 | "He wore a worn brown" | | 17 | "He had always known when" | | 18 | "He didn’t argue, respecting the" | | 19 | "His eyes flicked towards several" |
| | ratio | 0.345 | |
| 40.46% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 87 | | matches | | 0 | "Rain pounded the slick pavement" | | 1 | "Her breath came in sharp," | | 2 | "Quinn’s boots slapped against the" | | 3 | "Quinn's voice cut through the" | | 4 | "They darted into an alleyway." | | 5 | "Her salt-and-pepper hair, cropped close" | | 6 | "Her watch, a constant companion," | | 7 | "The figure knocked it over" | | 8 | "She hurdled over it, not" | | 9 | "The distant hum of city" | | 10 | "The chase continued, the figure" | | 11 | "Quinn's sharp jaw was set" | | 12 | "She had pursued criminals through" | | 13 | "The figure emerged onto a" | | 14 | "Quinn's mind raced." | | 15 | "She knew these stations." | | 16 | "Places people went to disappear." | | 17 | "The Raven's Nest, moments away" | | 18 | "She noted it with passing" | | 19 | "Her feet pounded down the" |
| | ratio | 0.839 | |
| 57.47% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 87 | | matches | | 0 | "Yet, something about this chase" |
| | ratio | 0.011 | |
| 86.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 4 | | matches | | 0 | "Quinn’s boots slapped against the ground, splashing through puddles that reflected the pale glow of street lamps." | | 1 | "The figure was slipping through a once-secret entrance, now just a dark gaping maw that led to the underground Veil Market." | | 2 | "He wore a worn brown jacket, a scar running along his left forearm that indicated a shared history of close calls." | | 3 | "The figure turned slowly, revealing a young man with pale skin and striking blue eyes—eyes that seemed to pierce through the darkness and her very being." |
| |
| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 1 | | matches | | 0 | "she muttered, eyes narrowing" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 3 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "He didn’t (do)" | | 2 | "Quinn demanded (demand)" |
| | dialogueSentences | 12 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 1 | | effectiveRatio | 0.5 | |