| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 2 | | adverbTags | | 0 | "Quinn’s voice cracked like [like]" | | 1 | "Then they turned [Then]" |
| | dialogueSentences | 8 | | tagDensity | 0.75 | | leniency | 1 | | rawRatio | 0.333 | | effectiveRatio | 0.333 | |
| 93.90% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1639 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 29.84% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1639 | | totalAiIsms | 23 | | found | | | highlights | | 0 | "pulse" | | 1 | "lurched" | | 2 | "wavering" | | 3 | "loomed" | | 4 | "echoing" | | 5 | "weight" | | 6 | "traced" | | 7 | "echoed" | | 8 | "flicked" | | 9 | "fluttered" | | 10 | "electric" | | 11 | "pulsed" | | 12 | "raced" | | 13 | "pounding" | | 14 | "velvet" | | 15 | "silence" | | 16 | "otherworldly" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "flicker of emotion" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 150 | | matches | (empty) | |
| 95.24% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 5 | | hedgeCount | 0 | | narrationSentences | 150 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 152 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1631 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 45 | | wordCount | 1607 | | uniqueNames | 14 | | maxNameDensity | 1.56 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 25 | | Dean | 1 | | Street | 2 | | Raven | 1 | | Nest | 1 | | Soho | 2 | | Greek | 1 | | Morris | 4 | | Tube | 1 | | Camden | 1 | | Veil | 2 | | Market | 2 | | England | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Nest" | | 4 | "Morris" | | 5 | "Market" |
| | places | | 0 | "Dean" | | 1 | "Street" | | 2 | "Soho" | | 3 | "Greek" | | 4 | "England" |
| | globalScore | 0.722 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 120 | | 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 | 1631 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 152 | | matches | | |
| 58.46% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 45.31 | | std | 16.07 | | cv | 0.355 | | sampleLengths | | 0 | 75 | | 1 | 65 | | 2 | 33 | | 3 | 69 | | 4 | 64 | | 5 | 63 | | 6 | 35 | | 7 | 55 | | 8 | 37 | | 9 | 49 | | 10 | 46 | | 11 | 44 | | 12 | 52 | | 13 | 47 | | 14 | 48 | | 15 | 47 | | 16 | 14 | | 17 | 30 | | 18 | 21 | | 19 | 38 | | 20 | 39 | | 21 | 64 | | 22 | 61 | | 23 | 52 | | 24 | 40 | | 25 | 59 | | 26 | 35 | | 27 | 63 | | 28 | 53 | | 29 | 12 | | 30 | 53 | | 31 | 44 | | 32 | 52 | | 33 | 27 | | 34 | 38 | | 35 | 7 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 150 | | matches | | 0 | "was deserted" | | 1 | "being trapped" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 306 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 5 | | flaggedSentences | 12 | | totalSentences | 152 | | ratio | 0.079 | | matches | | 0 | "A figure emerged from the bar’s open door—slender, coat hood drawn low, boots skidding on the stone." | | 1 | "Narrow streets of Soho unfolded ahead—cobbled, slick, glimmering with displaced neon." | | 2 | "Boxes scraped across stone; she vaulted over one, foot catching on rotting wood." | | 3 | "She peered over the railing—streetlights glowed distant, fog drifting between buildings." | | 4 | "From somewhere below, water pattered—a pool on the concrete landing." | | 5 | "The corridor opened onto an abandoned Tube station beneath Camden—a cavernous space of damp bricks and cracked tiles, lit by a single sputtering bulb." | | 6 | "She glanced back the way she came—cold, empty corridors, rain dripping through a grate overhead." | | 7 | "Damp stone walls closed in; the air was warmer, heavier." | | 8 | "The market pulsed around her: a vendor offering a caged raven whose eyes gleamed red; a man pawing through a pile of tarnished amulets; a woman whispering over a steaming bowl of violet broth." | | 9 | "Keys, notebook, a single cigarette lighter—no token." | | 10 | "The man’s voice was a rumble; Quinn couldn’t hear the words, but the suspect nodded, slipping the bone token into someone’s palm." | | 11 | "The curtain billowed as they passed, leaving Quinn’s path clear—if she dared to follow." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1625 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.023384615384615386 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.005538461538461538 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 152 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 152 | | mean | 10.73 | | std | 5.64 | | cv | 0.525 | | sampleLengths | | 0 | 23 | | 1 | 16 | | 2 | 19 | | 3 | 17 | | 4 | 17 | | 5 | 8 | | 6 | 21 | | 7 | 19 | | 8 | 10 | | 9 | 23 | | 10 | 4 | | 11 | 4 | | 12 | 11 | | 13 | 6 | | 14 | 16 | | 15 | 7 | | 16 | 21 | | 17 | 19 | | 18 | 14 | | 19 | 13 | | 20 | 14 | | 21 | 4 | | 22 | 7 | | 23 | 11 | | 24 | 16 | | 25 | 14 | | 26 | 8 | | 27 | 7 | | 28 | 5 | | 29 | 11 | | 30 | 11 | | 31 | 5 | | 32 | 3 | | 33 | 10 | | 34 | 8 | | 35 | 12 | | 36 | 20 | | 37 | 5 | | 38 | 17 | | 39 | 7 | | 40 | 13 | | 41 | 14 | | 42 | 12 | | 43 | 9 | | 44 | 14 | | 45 | 12 | | 46 | 6 | | 47 | 8 | | 48 | 5 | | 49 | 15 |
| |
| 49.78% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3223684210526316 | | totalSentences | 152 | | uniqueOpeners | 49 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 147 | | matches | | 0 | "Then they vanished at a" | | 1 | "Somewhere below, muffled voices and" | | 2 | "Then they turned and vanished" | | 3 | "Somewhere ahead, she heard muffled" | | 4 | "All spoke in low tones," | | 5 | "Then the tall man produced" | | 6 | "Then she squared her shoulders." |
| | ratio | 0.048 | |
| 92.11% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 47 | | totalSentences | 147 | | matches | | 0 | "She glanced at the alley’s" | | 1 | "She didn’t know the suspect’s" | | 2 | "She raised her flashlight, beam" | | 3 | "She tore after them." | | 4 | "Her boots slapped puddles." | | 5 | "She lurched through a web" | | 6 | "She stumbled, grabbed the edge" | | 7 | "She passed a window, glass" | | 8 | "She saw movement: the suspect’s" | | 9 | "She peered over the railing—streetlights" | | 10 | "She pressed on." | | 11 | "She edged along the fire" | | 12 | "They spilled into a narrow" | | 13 | "She recovered to see the" | | 14 | "She clicked her flashlight beam" | | 15 | "They hesitated, then turned, coat" | | 16 | "It swung inward at their" | | 17 | "She assessed the run-down station." | | 18 | "She knew better: the Veil" | | 19 | "Her pulse picked up speed." |
| | ratio | 0.32 | |
| 79.05% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 112 | | totalSentences | 147 | | matches | | 0 | "Detective Harlow Quinn pressed her" | | 1 | "Each pulse of light painted" | | 2 | "Rain drummed against her shoulders," | | 3 | "She glanced at the alley’s" | | 4 | "A figure emerged from the" | | 5 | "Quinn recognized the way they" | | 6 | "She didn’t know the suspect’s" | | 7 | "Quinn stalked into the street" | | 8 | "Quinn’s voice cracked like a" | | 9 | "She raised her flashlight, beam" | | 10 | "She tore after them." | | 11 | "Her boots slapped puddles." | | 12 | "Quinn’s breath came in frosty" | | 13 | "She lurched through a web" | | 14 | "Each time she risked a" | | 15 | "Quinn slid to a halt" | | 16 | "Boxes scraped across stone; she" | | 17 | "She stumbled, grabbed the edge" | | 18 | "A rusted fire escape loomed" | | 19 | "The suspect scrambled up its" |
| | ratio | 0.762 | |
| 68.03% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 147 | | matches | | 0 | "Before they could complete it," | | 1 | "If she followed, she risked" |
| | ratio | 0.014 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 79 | | technicalSentenceCount | 4 | | matches | | 0 | "She glanced at the alley’s mouth, heart hammering against ribs that had long ago hardened to adrenaline." | | 1 | "It swung inward at their touch, revealing a narrow staircase that sloped downward into blackness." | | 2 | "Strange wares glimmered under flickering light: vials filled with glowing powders, feathers scented with herbs, rusted locks that opened without keys." | | 3 | "It chittered something in a language that crawled beneath her skin." |
| |
| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 1 | | matches | | 0 | "she called, voice harder than she felt" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.125 | | leniency | 0.25 | | rawRatio | 0 | | effectiveRatio | 0 | |