| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 31 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 68 | | tagDensity | 0.456 | | leniency | 0.912 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.98% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1663 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "cautiously" | | 1 | "very" | | 2 | "slowly" |
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| 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) | |
| 42.87% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1663 | | totalAiIsms | 19 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | word | "down her spine" | | count | 1 |
| | 10 | | | 11 | | | 12 | | word | "the last thing" | | count | 1 |
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| | highlights | | 0 | "flickered" | | 1 | "rhythmic" | | 2 | "flicker" | | 3 | "unreadable" | | 4 | "stomach" | | 5 | "weight" | | 6 | "familiar" | | 7 | "perfect" | | 8 | "chill" | | 9 | "down her spine" | | 10 | "pulsed" | | 11 | "echoed" | | 12 | "the last thing" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "sent a shiver through" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 110 | | matches | (empty) | |
| 51.95% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 6 | | narrationSentences | 110 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 147 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1652 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 24 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 77 | | wordCount | 1179 | | uniqueNames | 22 | | maxNameDensity | 1.44 | | worstName | "Herrera" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Herrera" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 16 | | Soho | 2 | | Raven | 1 | | Nest | 1 | | Wardour | 1 | | Street | 2 | | Old | 1 | | Compton | 1 | | Morris | 11 | | London | 2 | | Herrera | 17 | | Veil | 2 | | Market | 2 | | Tube | 1 | | Three | 4 | | Oracle | 7 | | Silas | 1 | | Tomás | 1 | | Saint | 1 | | Christopher | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Nest" | | 4 | "Morris" | | 5 | "Herrera" | | 6 | "Oracle" | | 7 | "Silas" | | 8 | "Tomás" | | 9 | "Saint" | | 10 | "Christopher" |
| | places | | 0 | "Soho" | | 1 | "Wardour" | | 2 | "Street" | | 3 | "Old" | | 4 | "Compton" | | 5 | "London" | | 6 | "Veil" | | 7 | "Market" |
| | globalScore | 0.779 | | windowScore | 0.5 | |
| 32.35% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 85 | | glossingSentenceCount | 4 | | matches | | 0 | "as if reading her thoughts" | | 1 | "quite a smile" | | 2 | "covers that seemed to shift, weapons that hummed with power" | | 3 | "symbols that seemed to writhe on the stone walls" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.605 | | wordCount | 1652 | | matches | | 0 | "not running but waiting" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 147 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 60 | | mean | 27.53 | | std | 13.89 | | cv | 0.505 | | sampleLengths | | 0 | 59 | | 1 | 39 | | 2 | 35 | | 3 | 54 | | 4 | 11 | | 5 | 19 | | 6 | 10 | | 7 | 36 | | 8 | 5 | | 9 | 27 | | 10 | 21 | | 11 | 13 | | 12 | 38 | | 13 | 47 | | 14 | 25 | | 15 | 50 | | 16 | 12 | | 17 | 22 | | 18 | 45 | | 19 | 21 | | 20 | 3 | | 21 | 47 | | 22 | 58 | | 23 | 24 | | 24 | 36 | | 25 | 16 | | 26 | 16 | | 27 | 13 | | 28 | 19 | | 29 | 7 | | 30 | 20 | | 31 | 40 | | 32 | 14 | | 33 | 33 | | 34 | 26 | | 35 | 31 | | 36 | 13 | | 37 | 13 | | 38 | 27 | | 39 | 38 | | 40 | 42 | | 41 | 21 | | 42 | 42 | | 43 | 51 | | 44 | 35 | | 45 | 35 | | 46 | 11 | | 47 | 17 | | 48 | 46 | | 49 | 22 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 110 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 230 | | matches | | 0 | "was willing" | | 1 | "was delivering" | | 2 | "wasn't helping" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 1 | | flaggedSentences | 11 | | totalSentences | 147 | | ratio | 0.075 | | matches | | 0 | "That's what Morris always said before—" | | 1 | "Morris's face flashed in her mind—his laugh, his annoying habit of humming old jazz tunes, the way he'd tap his pen against files when deep in thought." | | 2 | "The scent of ozone and something metallic—blood?—filled her nostrils." | | 3 | "Stalls lined the platforms, selling goods that defied explanation—glowing potions in corked bottles, books with covers that seemed to shift, weapons that hummed with power." | | 4 | "Stallkeepers whispered as she passed, their wares seeming to respond to her presence—a potion bubbled violently when she neared, a book flipped its pages aggressively." | | 5 | "The symbols on the walls flared to life, projecting images that made her gasp—scenes from her past, moments of doubt and fear, memories she'd long buried." | | 6 | "Not her time with Morris—that was too precious." | | 7 | "Not her childhood—that had shaped who she was." | | 8 | "Before Quinn could ask what that meant, the mist swirled again, revealing a figure standing behind her—Tomás Herrera, his Saint Christopher medallion glowing with an intense light." | | 9 | "The chase through Soho, the bone token, the Oracle's chamber—it had all been a setup." | | 10 | "Herrera wasn't helping her; he was delivering her to the Veil Market as payment for something he'd done." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1192 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 34 | | adverbRatio | 0.028523489932885907 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.010906040268456376 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 147 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 147 | | mean | 11.24 | | std | 6.06 | | cv | 0.539 | | sampleLengths | | 0 | 15 | | 1 | 13 | | 2 | 16 | | 3 | 15 | | 4 | 19 | | 5 | 10 | | 6 | 4 | | 7 | 6 | | 8 | 8 | | 9 | 2 | | 10 | 2 | | 11 | 8 | | 12 | 11 | | 13 | 4 | | 14 | 2 | | 15 | 8 | | 16 | 8 | | 17 | 10 | | 18 | 14 | | 19 | 12 | | 20 | 9 | | 21 | 2 | | 22 | 16 | | 23 | 3 | | 24 | 10 | | 25 | 20 | | 26 | 14 | | 27 | 2 | | 28 | 3 | | 29 | 2 | | 30 | 17 | | 31 | 10 | | 32 | 3 | | 33 | 3 | | 34 | 3 | | 35 | 7 | | 36 | 5 | | 37 | 8 | | 38 | 5 | | 39 | 17 | | 40 | 21 | | 41 | 10 | | 42 | 2 | | 43 | 8 | | 44 | 27 | | 45 | 15 | | 46 | 10 | | 47 | 8 | | 48 | 6 | | 49 | 13 |
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| 64.63% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.42857142857142855 | | totalSentences | 147 | | uniqueOpeners | 63 | |
| 66.01% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 101 | | matches | | 0 | "Just the rhythmic drumming of" | | 1 | "Then she realized: the memory" |
| | ratio | 0.02 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 101 | | matches | | 0 | "She'd lost her target in" | | 1 | "Her boots splashed through puddles," | | 2 | "They moved with unnatural grace," | | 3 | "She advanced cautiously, weapon trained" | | 4 | "His left arm bore a" | | 5 | "He inclined his head, a" | | 6 | "He tossed the bone token" | | 7 | "It landed in her palm," | | 8 | "They stepped through the shimmering" | | 9 | "it hissed, its voice like" | | 10 | "They approached the corridor, the" | | 11 | "He stopped outside the entrance" | | 12 | "She looked back at the" | | 13 | "It was about what she" | | 14 | "she said, holding it up" | | 15 | "It seemed to glow in" | | 16 | "He gestured toward a group" | | 17 | "His eyes locked with hers" | | 18 | "she whispered, the phrase finally" | | 19 | "she said, extending her hand" |
| | ratio | 0.208 | |
| 54.06% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 82 | | totalSentences | 101 | | matches | | 0 | "Rain lashed against Detective Harlow" | | 1 | "The distinctive green neon sign" | | 2 | "She'd lost her target in" | | 3 | "Her boots splashed through puddles," | | 4 | "The rain soaked through her" | | 5 | "That's what Morris always said" | | 6 | "A dark figure darted into" | | 7 | "They moved with unnatural grace," | | 8 | "Quinn pulled her service weapon," | | 9 | "She advanced cautiously, weapon trained" | | 10 | "The figure emerged from the" | | 11 | "A young man with olive" | | 12 | "His left arm bore a" | | 13 | "Quinn said, recognizing him from" | | 14 | "He inclined his head, a" | | 15 | "Herrera gestured down a nearby" | | 16 | "The bricks seemed to shimmer," | | 17 | "Quinn's gaze narrowed." | | 18 | "Herrera produced a small white" | | 19 | "The Veil Market." |
| | ratio | 0.812 | |
| 49.50% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 101 | | matches | | 0 | "Before Quinn could ask what" |
| | ratio | 0.01 | |
| 69.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 5 | | matches | | 0 | "Knew the truth was something that made her question reality itself." | | 1 | "Stalls lined the platforms, selling goods that defied explanation—glowing potions in corked bottles, books with covers that seemed to shift, weapons that hummed…" | | 2 | "The symbols on the walls pulsed with a faint blue light, casting eerie shadows that danced independently of their source." | | 3 | "The symbols on the walls flared to life, projecting images that made her gasp—scenes from her past, moments of doubt and fear, memories she'd long buried." | | 4 | "The mist swirled, forming images of Morris in his final moments, his mouth moving but no sound coming out." |
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| 12.10% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 31 | | uselessAdditionCount | 7 | | matches | | 0 | "He inclined, a flicker of something unreadable in his warm brown eyes" | | 1 | "Quinn said, her voice tight" | | 2 | "Quinn asked, a knot forming in her stomach" | | 3 | "He gestured, their eyes vacant, their bodies slowly petrifying" | | 4 | "the Oracle's voice echoed, seeming to come from everywhere and nowhere at once" | | 5 | "she whispered, the phrase finally making sense" | | 6 | "Quinn said, her voice trembling but resolute" |
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| 61.76% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 21 | | fancyCount | 6 | | fancyTags | | 0 | "Herrera explained (explain)" | | 1 | "it hissed (hiss)" | | 2 | "Herrera murmured (murmur)" | | 3 | "Herrera warned (warn)" | | 4 | "she whispered (whisper)" | | 5 | "Quinn demanded (demand)" |
| | dialogueSentences | 68 | | tagDensity | 0.309 | | leniency | 0.618 | | rawRatio | 0.286 | | effectiveRatio | 0.176 | |