| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 44 | | tagDensity | 0.227 | | leniency | 0.455 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.07% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1271 | | totalAiIsmAdverbs | 1 | | 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) | |
| 72.46% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1271 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "standard" | | 1 | "perfect" | | 2 | "weight" | | 3 | "charged" | | 4 | "shimmered" | | 5 | "silence" |
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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 | 1 | | narrationSentences | 165 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 165 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 199 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 25 | | markdownWords | 49 | | totalWords | 1255 | | ratio | 0.039 | | matches | | 0 | "placed" | | 1 | "that" | | 2 | "brushed" | | 3 | "Silver" | | 4 | "her partner" | | 5 | "metal" | | 6 | "Anxiety tic." | | 7 | "her" | | 8 | "other" | | 9 | "\"They call it the Veil Mark,\"" | | 10 | "\"Means someone’s crossed through. Or been claimed.\"" | | 11 | "Wiped" | | 12 | "ticking too slow" | | 13 | "the Veil Market moves on the full moon" | | 14 | "Veil Compass" | | 15 | "felt" | | 16 | "wasn’t there" | | 17 | "wrinkle" | | 18 | "Gone" | | 19 | "shimmer" | | 20 | "bent" | | 21 | "they" | | 22 | "cracked" | | 23 | "opened" | | 24 | "Now" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 48 | | wordCount | 918 | | uniqueNames | 17 | | maxNameDensity | 0.98 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 9 | | Lyle | 6 | | Thick | 1 | | Male | 1 | | Peckham | 1 | | Rye | 1 | | Morris | 1 | | Kowalski | 2 | | Brixton | 2 | | Eva | 8 | | Veil | 4 | | Market | 1 | | Perfect | 1 | | Darkness | 1 | | Compass | 3 | | Like | 5 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Lyle" | | 3 | "Morris" | | 4 | "Kowalski" | | 5 | "Eva" | | 6 | "Market" | | 7 | "Darkness" | | 8 | "Compass" | | 9 | "Like" |
| | places | | | globalScore | 1 | | windowScore | 0.833 | |
| 73.08% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like charred feathers" | | 1 | "looked like hers" |
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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 | 1255 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 199 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 96 | | mean | 13.07 | | std | 12.35 | | cv | 0.944 | | sampleLengths | | 0 | 42 | | 1 | 42 | | 2 | 7 | | 3 | 28 | | 4 | 33 | | 5 | 3 | | 6 | 25 | | 7 | 6 | | 8 | 8 | | 9 | 38 | | 10 | 7 | | 11 | 35 | | 12 | 5 | | 13 | 1 | | 14 | 17 | | 15 | 13 | | 16 | 5 | | 17 | 12 | | 18 | 54 | | 19 | 8 | | 20 | 8 | | 21 | 5 | | 22 | 8 | | 23 | 27 | | 24 | 8 | | 25 | 4 | | 26 | 36 | | 27 | 17 | | 28 | 3 | | 29 | 4 | | 30 | 28 | | 31 | 24 | | 32 | 24 | | 33 | 7 | | 34 | 35 | | 35 | 58 | | 36 | 11 | | 37 | 31 | | 38 | 19 | | 39 | 31 | | 40 | 6 | | 41 | 9 | | 42 | 4 | | 43 | 8 | | 44 | 12 | | 45 | 3 | | 46 | 15 | | 47 | 24 | | 48 | 2 | | 49 | 2 |
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| 96.76% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 165 | | matches | | 0 | "was *placed" | | 1 | "been *brushed" | | 2 | "was hidden" | | 3 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 161 | | matches | | |
| 13.64% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 199 | | ratio | 0.045 | | matches | | 0 | "The air tasted of burnt sage and something metallic—copper, maybe, or fresh-spilt blood." | | 1 | "Three years ago, in a storage unit behind Peckham Rye, when Morris—when *her partner*—had vanished." | | 2 | "His fingers drummed his thigh—twice, pause, twice." | | 3 | "And there, beneath the left ear—an irregular scar." | | 4 | "She pulled her worn leather watch from her left wrist—*ticking too slow*—and checked the time." | | 5 | "They met resistance—soft, gelatinous, like pushing through cold honey." | | 6 | "The needle spun—once, twice—then pointed straight ahead, quivering." | | 7 | "A sliver of light—amber, flickering—spilled into the tunnel." | | 8 | "Because for half a second—just before the gap began to seal—it had reflected." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 621 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.0322061191626409 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.008051529790660225 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 199 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 199 | | mean | 6.31 | | std | 5.24 | | cv | 0.831 | | sampleLengths | | 0 | 24 | | 1 | 18 | | 2 | 21 | | 3 | 13 | | 4 | 8 | | 5 | 3 | | 6 | 2 | | 7 | 2 | | 8 | 16 | | 9 | 12 | | 10 | 3 | | 11 | 12 | | 12 | 2 | | 13 | 2 | | 14 | 3 | | 15 | 2 | | 16 | 6 | | 17 | 3 | | 18 | 3 | | 19 | 25 | | 20 | 6 | | 21 | 2 | | 22 | 6 | | 23 | 8 | | 24 | 12 | | 25 | 5 | | 26 | 7 | | 27 | 6 | | 28 | 2 | | 29 | 5 | | 30 | 13 | | 31 | 16 | | 32 | 2 | | 33 | 4 | | 34 | 5 | | 35 | 1 | | 36 | 10 | | 37 | 7 | | 38 | 5 | | 39 | 2 | | 40 | 3 | | 41 | 3 | | 42 | 5 | | 43 | 2 | | 44 | 2 | | 45 | 1 | | 46 | 7 | | 47 | 3 | | 48 | 9 | | 49 | 6 |
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| 70.35% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.45226130653266333 | | totalSentences | 199 | | uniqueOpeners | 90 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 9 | | totalSentences | 119 | | matches | | 0 | "Too much of it pooling" | | 1 | "Too low viscosity." | | 2 | "More like it had been" | | 3 | "Then, gloved hands tugged the" | | 4 | "Instead, she crouched, ignoring the" | | 5 | "Just damp concrete and a" | | 6 | "Just pulled the Veil Compass" | | 7 | "Then a voice, close behind" | | 8 | "Then, from the shimmer, a" |
| | ratio | 0.076 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 119 | | matches | | 0 | "She didn’t crouch." | | 1 | "Her gaze tracked the arc" | | 2 | "She finally turned, eyes cutting" | | 3 | "She pointed at a smear" | | 4 | "She stepped closer to the" | | 5 | "She’d seen things like this" | | 6 | "She looked at him." | | 7 | "His fingers drummed his thigh—twice," | | 8 | "He was scared of *her*" | | 9 | "She didn’t answer." | | 10 | "Her breath caught." | | 11 | "She knew that mark." | | 12 | "She turned to the corridor" | | 13 | "She pulled her worn leather" | | 14 | "She unzipped her coat just" | | 15 | "Hers was hidden." | | 16 | "She hadn’t believed Eva at" | | 17 | "She stepped past him, into" | | 18 | "Her teeth tingled." | | 19 | "Her fingers didn’t meet brick." |
| | ratio | 0.227 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 119 | | matches | | 0 | "The body hung upside down" | | 1 | "Blood dripped in slow pulses" | | 2 | "Detective Harlow Quinn stepped over" | | 3 | "The air tasted of burnt" | | 4 | "She didn’t crouch." | | 5 | "Quinn didn’t answer." | | 6 | "Her gaze tracked the arc" | | 7 | "This wasn’t from a severed" | | 8 | "This was *placed*." | | 9 | "She finally turned, eyes cutting" | | 10 | "She pointed at a smear" | | 11 | "She stepped closer to the" | | 12 | "Lyle gestured to the photographer," | | 13 | "The man’s eyes were open." | | 14 | "Quinn didn’t recoil." | | 15 | "She’d seen things like this" | | 16 | "She looked at him." | | 17 | "His fingers drummed his thigh—twice," | | 18 | "*Anxiety tic.* He wasn’t scared" | | 19 | "He was scared of *her*" |
| | ratio | 0.555 | |
| 84.03% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 119 | | matches | | 0 | "As if it had never" | | 1 | "Because for half a second—just" |
| | ratio | 0.017 | |
| 89.95% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 2 | | matches | | 0 | "The body hung upside down from the ticket barrier like a butchered deer, wrists bound with copper wire that gleamed under the flickering fluorescents." | | 1 | "Until it led her to a graffiti-covered wall that *wasn’t there* five hours later." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 2 | | matches | | 0 | "said DS Lyle, voice tight" | | 1 | "the girl had, fingers tucking hair behind her left ear" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 44 | | tagDensity | 0.068 | | leniency | 0.136 | | rawRatio | 0.333 | | effectiveRatio | 0.045 | |