| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 15 | | tagDensity | 0.067 | | leniency | 0.133 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.90% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1640 | | 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) | |
| 42.07% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1640 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "measured" | | 1 | "flicker" | | 2 | "echoing" | | 3 | "etching" | | 4 | "echoed" | | 5 | "footsteps" | | 6 | "glint" | | 7 | "could feel" | | 8 | "scanning" | | 9 | "pulse" | | 10 | "glistening" | | 11 | "warmth" | | 12 | "hulking" | | 13 | "stomach" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 161 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 161 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 175 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 5 | | totalWords | 1625 | | ratio | 0.003 | | matches | | 0 | "hates" | | 1 | "step away" | | 2 | "through" | | 3 | "hated" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 1524 | | uniqueNames | 9 | | maxNameDensity | 1.05 | | worstName | "Harlow" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Harlow" | | discoveredNames | | Harlow | 16 | | Quinn | 1 | | Soho | 1 | | Whitechapel | 1 | | Morris | 3 | | Veil | 1 | | Market | 3 | | Raven | 1 | | Nest | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Raven" | | 4 | "Nest" |
| | places | | 0 | "Soho" | | 1 | "Whitechapel" | | 2 | "Market" |
| | globalScore | 0.975 | | windowScore | 0.833 | |
| 79.91% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 107 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like bone" | | 1 | "feathers that seemed to shift colour as she passed" | | 2 | "looked like preserved eyes in jars" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1625 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 175 | | matches | | 0 | "knew that symbol" | | 1 | "knew that whatever" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 66 | | mean | 24.62 | | std | 21.27 | | cv | 0.864 | | sampleLengths | | 0 | 84 | | 1 | 49 | | 2 | 4 | | 3 | 52 | | 4 | 37 | | 5 | 11 | | 6 | 16 | | 7 | 12 | | 8 | 66 | | 9 | 71 | | 10 | 47 | | 11 | 24 | | 12 | 71 | | 13 | 2 | | 14 | 91 | | 15 | 22 | | 16 | 23 | | 17 | 6 | | 18 | 32 | | 19 | 2 | | 20 | 22 | | 21 | 49 | | 22 | 4 | | 23 | 51 | | 24 | 46 | | 25 | 25 | | 26 | 26 | | 27 | 17 | | 28 | 38 | | 29 | 3 | | 30 | 2 | | 31 | 35 | | 32 | 18 | | 33 | 4 | | 34 | 30 | | 35 | 4 | | 36 | 38 | | 37 | 22 | | 38 | 28 | | 39 | 37 | | 40 | 49 | | 41 | 18 | | 42 | 17 | | 43 | 10 | | 44 | 3 | | 45 | 43 | | 46 | 19 | | 47 | 40 | | 48 | 3 | | 49 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 161 | | matches | | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 11 | | totalVerbs | 263 | | matches | | 0 | "was improvising" | | 1 | "was running" | | 2 | "was crumbling" | | 3 | "was going" | | 4 | "was still running" | | 5 | "was handing" | | 6 | "was leaving" | | 7 | "wasn’t looking" | | 8 | "was running" | | 9 | "wasn’t leaving" | | 10 | "was already moving" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 15 | | semicolonCount | 0 | | flaggedSentences | 13 | | totalSentences | 175 | | ratio | 0.074 | | matches | | 0 | "Her breath came steady, measured—eighteen years of service had taught her the rhythm of pursuit." | | 1 | "Fresh scratches marred the metal—recent." | | 2 | "The medallion around the suspect’s neck had glinted under the streetlight—silver, circular, with the unmistakable etching of a raven in flight." | | 3 | "The air changed instantly—thick, stale, laced with the scent of damp earth and something older, something metallic and faintly sweet, like copper and rotting fruit." | | 4 | "The walls were lined with brick, but the mortar was crumbling, revealing patches of something darker beneath—something that looked like bone." | | 5 | "She’d heard the whispers—cops who’d gone missing after asking too many questions, criminals who’d come back with things that didn’t belong in this world." | | 6 | "Another displayed an array of teeth—human, if the size was anything to go by—strung on necklaces." | | 7 | "The gap was tight, the shelves on either side laden with oddities—a stack of yellowed skulls, a bowl of blackened coins, a bundle of feathers that seemed to shift colour as she passed." | | 8 | "The suspect stood at a stall, his hood now thrown back, revealing a face that was younger than she’d expected—early twenties, maybe." | | 9 | "The woman took the item from the suspect—a small, cloth-wrapped bundle—and held it up to the light." | | 10 | "But then she saw it—a flicker of movement at the far end of the alley." | | 11 | "The suspect was at the counter, his back to her, talking to the bartender—a hulking man with a scar running from his temple to his jaw." | | 12 | "And that medallion—it was the same as the one Morris had been asking about before he disappeared." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1545 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 40 | | adverbRatio | 0.025889967637540454 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.003883495145631068 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 175 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 175 | | mean | 9.29 | | std | 6.12 | | cv | 0.659 | | sampleLengths | | 0 | 23 | | 1 | 15 | | 2 | 23 | | 3 | 3 | | 4 | 20 | | 5 | 7 | | 6 | 9 | | 7 | 13 | | 8 | 14 | | 9 | 1 | | 10 | 1 | | 11 | 4 | | 12 | 4 | | 13 | 9 | | 14 | 16 | | 15 | 17 | | 16 | 10 | | 17 | 10 | | 18 | 5 | | 19 | 5 | | 20 | 12 | | 21 | 5 | | 22 | 6 | | 23 | 5 | | 24 | 4 | | 25 | 12 | | 26 | 12 | | 27 | 9 | | 28 | 9 | | 29 | 21 | | 30 | 16 | | 31 | 11 | | 32 | 20 | | 33 | 11 | | 34 | 7 | | 35 | 8 | | 36 | 25 | | 37 | 10 | | 38 | 21 | | 39 | 6 | | 40 | 2 | | 41 | 3 | | 42 | 5 | | 43 | 8 | | 44 | 1 | | 45 | 4 | | 46 | 11 | | 47 | 5 | | 48 | 9 | | 49 | 23 |
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| 40.29% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.22857142857142856 | | totalSentences | 175 | | uniqueOpeners | 40 | |
| 88.30% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 151 | | matches | | 0 | "Then he was gone." | | 1 | "Then she saw him." | | 2 | "Then he stopped." | | 3 | "Then the sound stopped." |
| | ratio | 0.026 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 151 | | matches | | 0 | "Her breath came steady, measured—eighteen" | | 1 | "She didn’t slow." | | 2 | "She sidestepped it, eyes locked" | | 3 | "She crouched, fingers brushing the" | | 4 | "He was improvising, and that" | | 5 | "She tapped the device." | | 6 | "She cut the feed before" | | 7 | "Her boots hit solid ground" | | 8 | "She ran her fingers over" | | 9 | "He was still running, but" | | 10 | "She moved forward, torchlight bobbing." | | 11 | "She’d heard the whispers—cops who’d" | | 12 | "She could feel it." | | 13 | "She didn’t flinch." | | 14 | "He gestured to the market" | | 15 | "He stepped aside, revealing a" | | 16 | "She didn’t wait for more." | | 17 | "He was handing something to" | | 18 | "She unwrapped it just enough" | | 19 | "He wasn’t looking for her." |
| | ratio | 0.265 | |
| 65.96% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 119 | | totalSentences | 151 | | matches | | 0 | "The pavement slick beneath her" | | 1 | "Her breath came steady, measured—eighteen" | | 2 | "The rain hammered down, turning" | | 3 | "She didn’t slow." | | 4 | "The suspect, a lanky figure" | | 5 | "A discarded newspaper skidded past" | | 6 | "She sidestepped it, eyes locked" | | 7 | "The alley narrowed, the walls" | | 8 | "The suspect glanced back, his" | | 9 | "Fear made people sloppy." | | 10 | "Harlow skidded to a halt" | | 11 | "A rusted fire escape sagged" | | 12 | "The rain drummed against the" | | 13 | "She crouched, fingers brushing the" | | 14 | "The suspect hadn’t planned this." | | 15 | "He was improvising, and that" | | 16 | "A voice crackled in her" | | 17 | "She tapped the device." | | 18 | "She cut the feed before" | | 19 | "Rules didn’t apply when the" |
| | ratio | 0.788 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 151 | | matches | (empty) | | ratio | 0 | |
| 78.89% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 67 | | technicalSentenceCount | 6 | | matches | | 0 | "The suspect, a lanky figure in a dark hoodie, moved with the desperate energy of someone who knew the stakes." | | 1 | "The walls were lined with brick, but the mortar was crumbling, revealing patches of something darker beneath—something that looked like bone." | | 2 | "She’d heard the whispers—cops who’d gone missing after asking too many questions, criminals who’d come back with things that didn’t belong in this world." | | 3 | "The gap was tight, the shelves on either side laden with oddities—a stack of yellowed skulls, a bowl of blackened coins, a bundle of feathers that seemed to shi…" | | 4 | "The suspect stood at a stall, his hood now thrown back, revealing a face that was younger than she’d expected—early twenties, maybe." | | 5 | "The bartender lunged, but Harlow was already moving, her shoulder slamming into the counter as she followed." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |