| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 1 | | adverbTags | | 0 | "He slipped away [away]" |
| | dialogueSentences | 9 | | tagDensity | 0.222 | | leniency | 0.444 | | rawRatio | 0.5 | | effectiveRatio | 0.222 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1231 | | 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) | |
| 43.14% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1231 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "pulse" | | 1 | "raced" | | 2 | "predator" | | 3 | "glint" | | 4 | "echoing" | | 5 | "resolve" | | 6 | "silence" | | 7 | "churn" | | 8 | "electric" | | 9 | "scanned" | | 10 | "glinting" | | 11 | "velvet" | | 12 | "weight" |
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| 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 | 131 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 131 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 138 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1211 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 57.41% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 1134 | | uniqueNames | 13 | | maxNameDensity | 1.85 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 21 | | Soho | 1 | | Raven | 1 | | Nest | 1 | | Camden | 1 | | High | 1 | | Street | 1 | | Veil | 1 | | Market | 5 | | Morris | 1 | | English | 1 | | Polish | 1 | | Knife-man | 3 |
| | persons | | 0 | "Quinn" | | 1 | "Raven" | | 2 | "Nest" | | 3 | "Market" | | 4 | "Morris" | | 5 | "Knife-man" |
| | places | | 0 | "Soho" | | 1 | "Camden" | | 2 | "High" | | 3 | "Street" | | 4 | "Polish" |
| | globalScore | 0.574 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 78 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1211 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 138 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 32.73 | | std | 21.96 | | cv | 0.671 | | sampleLengths | | 0 | 5 | | 1 | 60 | | 2 | 53 | | 3 | 42 | | 4 | 68 | | 5 | 53 | | 6 | 41 | | 7 | 43 | | 8 | 66 | | 9 | 66 | | 10 | 34 | | 11 | 3 | | 12 | 64 | | 13 | 67 | | 14 | 17 | | 15 | 9 | | 16 | 21 | | 17 | 3 | | 18 | 34 | | 19 | 81 | | 20 | 52 | | 21 | 11 | | 22 | 10 | | 23 | 15 | | 24 | 12 | | 25 | 16 | | 26 | 19 | | 27 | 41 | | 28 | 38 | | 29 | 32 | | 30 | 26 | | 31 | 12 | | 32 | 34 | | 33 | 3 | | 34 | 26 | | 35 | 14 | | 36 | 20 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 131 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 206 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 138 | | ratio | 0.072 | | matches | | 0 | "Quinn closed the gap, catching his silhouette against a crumbling wall—a worn hoodie, trainers splattered in mud, something clutched to his chest." | | 1 | "A final glance over the shoulder, then—gone." | | 2 | "Her hand brushed the grip of her torch, the other patting her jacket for her badge, her radio, her resolve—that last one hardest to conjure when rules stopped working." | | 3 | "She pressed on, drawn by something metallic and deliberate behind the silence—a rhythm of feet, a hurried slip." | | 4 | "Odd eyes—one green, one too pale." | | 5 | "She picked out fragments—names of things she didn’t want to know, prices for forbidden rites." | | 6 | "The stall nearby—the velvet drape displaced, the sharp reek of spilled anise, the curses of the vendor in Polish." | | 7 | "She needed a way to defuse, or—if it went off—come out on top." | | 8 | "The hooded woman from earlier—close now, voice low." | | 9 | "But always, always—action." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 227 | | adjectiveStacks | 1 | | stackExamples | | 0 | "over oily wet cobbles," |
| | adverbCount | 8 | | adverbRatio | 0.03524229074889868 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.004405286343612335 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 138 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 138 | | mean | 8.78 | | std | 5.87 | | cv | 0.669 | | sampleLengths | | 0 | 5 | | 1 | 12 | | 2 | 22 | | 3 | 14 | | 4 | 12 | | 5 | 1 | | 6 | 1 | | 7 | 8 | | 8 | 17 | | 9 | 12 | | 10 | 6 | | 11 | 8 | | 12 | 5 | | 13 | 22 | | 14 | 3 | | 15 | 12 | | 16 | 15 | | 17 | 4 | | 18 | 7 | | 19 | 3 | | 20 | 11 | | 21 | 8 | | 22 | 14 | | 23 | 3 | | 24 | 3 | | 25 | 8 | | 26 | 16 | | 27 | 20 | | 28 | 3 | | 29 | 6 | | 30 | 3 | | 31 | 5 | | 32 | 5 | | 33 | 7 | | 34 | 13 | | 35 | 8 | | 36 | 6 | | 37 | 3 | | 38 | 20 | | 39 | 11 | | 40 | 3 | | 41 | 12 | | 42 | 5 | | 43 | 11 | | 44 | 4 | | 45 | 5 | | 46 | 29 | | 47 | 10 | | 48 | 14 | | 49 | 16 |
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| 50.48% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.3333333333333333 | | totalSentences | 138 | | uniqueOpeners | 46 | |
| 80.65% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 124 | | matches | | 0 | "Further down, a door just" | | 1 | "Just a kid, mop-haired, eyes" | | 2 | "Then the lights died." |
| | ratio | 0.024 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 124 | | matches | | 0 | "She gave chase anyway, pulse" | | 1 | "She hurdled a tipped bin," | | 2 | "He ducked into an alley." | | 3 | "He glanced back." | | 4 | "She recognised the twitch of" | | 5 | "She didn’t slow." | | 6 | "She pushed through, drawing looks" | | 7 | "She came out blinking into" | | 8 | "She ignored it, picking up" | | 9 | "She tracked him." | | 10 | "He disappeared into the dark" | | 11 | "Her hand brushed the grip" | | 12 | "She lost sight and sound" | | 13 | "Her heart kept its old," | | 14 | "She pressed on, drawn by" | | 15 | "She clamped down on them." | | 16 | "They noticed her." | | 17 | "She scanned for the hoodie," | | 18 | "She spun, ready for aggression." | | 19 | "She met his gaze: calm," |
| | ratio | 0.25 | |
| 40.65% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 104 | | totalSentences | 124 | | matches | | 0 | "Harlow Quinn’s voice cut through" | | 1 | "The suspect froze long enough" | | 2 | "Quinn slipped, boots skidding over" | | 3 | "She gave chase anyway, pulse" | | 4 | "Quinn’s quarry raced, a slim" | | 5 | "The Raven’s Nest blinked its" | | 6 | "Quinn’s breath hammered in her" | | 7 | "She hurdled a tipped bin," | | 8 | "He ducked into an alley." | | 9 | "Quinn closed the gap, catching" | | 10 | "He glanced back." | | 11 | "She recognised the twitch of" | | 12 | "Quinn pressed forward, sharp jaw" | | 13 | "She didn’t slow." | | 14 | "The alley reeked of rot" | | 15 | "A kitchen back door slammed" | | 16 | "The suspect vanished through the" | | 17 | "A chef shouted." | | 18 | "The lot scattered." | | 19 | "She pushed through, drawing looks" |
| | ratio | 0.839 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 124 | | matches | (empty) | | ratio | 0 | |
| 98.21% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 48 | | technicalSentenceCount | 3 | | matches | | 0 | "Quinn’s quarry raced, a slim shadow weaving though parked cars and puddles that reflected Soho’s neon scars." | | 1 | "Candles and electric lanterns cast a fungal glow over everything: stalls stacked with arcana, shelves of dusty glass bottles filled with tar-black liquids and b…" | | 2 | "She moved, striking the wrist against her throat, knocking the ring free." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 1 | | matches | | 0 | "The hoodie flashed, fingers trembling" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |