| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1126 | | 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) | |
| 2.31% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1126 | | totalAiIsms | 22 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "pulse" | | 1 | "reminder" | | 2 | "scanning" | | 3 | "weight" | | 4 | "flicker" | | 5 | "etched" | | 6 | "resonated" | | 7 | "structure" | | 8 | "velvet" | | 9 | "rhythmic" | | 10 | "pulsed" | | 11 | "trembled" | | 12 | "resolve" | | 13 | "chill" | | 14 | "quickened" | | 15 | "grave" | | 16 | "shimmered" | | 17 | "silence" | | 18 | "cacophony" |
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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 | 70 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 70 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 78 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1121 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 1010 | | uniqueNames | 14 | | maxNameDensity | 0.69 | | worstName | "Harlow" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Harlow" | | discoveredNames | | Quinn | 1 | | Soho | 2 | | Morris | 2 | | Tube | 1 | | Metropolitan | 1 | | Police | 1 | | Camden | 1 | | Saint | 1 | | Christopher | 1 | | Harlow | 7 | | Veil | 1 | | Market | 3 | | London | 1 | | Tomás | 3 |
| | persons | | 0 | "Quinn" | | 1 | "Morris" | | 2 | "Police" | | 3 | "Saint" | | 4 | "Christopher" | | 5 | "Harlow" | | 6 | "Market" | | 7 | "Tomás" |
| | places | | 0 | "Soho" | | 1 | "Camden" | | 2 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 36.36% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 3 | | matches | | 0 | "as if reacting to the proximity of the supernatural goods" | | 1 | "looked like the ribcage of some titanic b" | | 2 | "seemed smaller now, swallowed by the sheer architectural impossibility of his surroundings" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.892 | | wordCount | 1121 | | matches | | 0 | "not men in coats, but shapes" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 78 | | matches | (empty) | |
| 99.37% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 43.12 | | std | 21.46 | | cv | 0.498 | | sampleLengths | | 0 | 57 | | 1 | 61 | | 2 | 77 | | 3 | 59 | | 4 | 12 | | 5 | 51 | | 6 | 16 | | 7 | 63 | | 8 | 66 | | 9 | 11 | | 10 | 43 | | 11 | 16 | | 12 | 60 | | 13 | 63 | | 14 | 19 | | 15 | 54 | | 16 | 14 | | 17 | 49 | | 18 | 48 | | 19 | 12 | | 20 | 67 | | 21 | 49 | | 22 | 11 | | 23 | 61 | | 24 | 27 | | 25 | 55 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 70 | | matches | (empty) | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 7 | | totalVerbs | 153 | | matches | | 0 | "was heading" | | 1 | "wasn't just running" | | 2 | "were exhaling" | | 3 | "was hiding" | | 4 | "wasn't hiding" | | 5 | "was chasing" | | 6 | "wasn't chasing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 5 | | flaggedSentences | 9 | | totalSentences | 78 | | ratio | 0.115 | | matches | | 0 | "He wasn't just running; he was heading for the veins of the city, the places where the light failed and the rules of the Metropolitan Police gathered dust." | | 1 | "He pulled a small, calcified fragment from his pocket—a bone token, yellowed and etched with jagged runes." | | 2 | "The heavy metal didn't creak; it sighed." | | 3 | "Shadows moved—not men in coats, but shapes that rippled like oil on water, trading secrets for scraps of soul." | | 4 | "It reached for her, a cold draft that carried the scent of Morris’s cologne—the same scent that had vanished along with his body three years ago." | | 5 | "Someone in the back—a vendor with too many joints in his fingers—leaned forward, holding up a small, pulsating heart preserved in amber." | | 6 | "The Market wasn't just a place; it was a hungry gut." | | 7 | "He wasn't hiding from the law anymore; he was hiding from something far more predatory that lurked within the stalls." | | 8 | "She wasn't chasing a criminal; she was chasing a witness." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1018 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.0206286836935167 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.003929273084479371 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 78 | | echoCount | 0 | | echoWords | (empty) | |
| 98.21% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 78 | | mean | 14.37 | | std | 5.68 | | cv | 0.396 | | sampleLengths | | 0 | 13 | | 1 | 17 | | 2 | 8 | | 3 | 19 | | 4 | 10 | | 5 | 21 | | 6 | 30 | | 7 | 16 | | 8 | 12 | | 9 | 21 | | 10 | 28 | | 11 | 14 | | 12 | 13 | | 13 | 15 | | 14 | 17 | | 15 | 12 | | 16 | 12 | | 17 | 14 | | 18 | 25 | | 19 | 16 | | 20 | 17 | | 21 | 10 | | 22 | 7 | | 23 | 14 | | 24 | 15 | | 25 | 15 | | 26 | 11 | | 27 | 14 | | 28 | 7 | | 29 | 19 | | 30 | 11 | | 31 | 16 | | 32 | 15 | | 33 | 12 | | 34 | 16 | | 35 | 23 | | 36 | 17 | | 37 | 20 | | 38 | 8 | | 39 | 18 | | 40 | 9 | | 41 | 17 | | 42 | 11 | | 43 | 19 | | 44 | 8 | | 45 | 7 | | 46 | 26 | | 47 | 13 | | 48 | 14 | | 49 | 3 |
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| 49.57% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.358974358974359 | | totalSentences | 78 | | uniqueOpeners | 28 | |
| 47.62% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 70 | | matches | | 0 | "Instead, she let the ambient" |
| | ratio | 0.014 | |
| 71.43% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 70 | | matches | | 0 | "His coat whipped in the" | | 1 | "She adjusted her grip on" | | 2 | "He dived into a narrow" | | 3 | "She caught the flash of" | | 4 | "He wasn't just running; he" | | 5 | "He fumbled with the chain," | | 6 | "He pulled a small, calcified" | | 7 | "He slammed it into a" | | 8 | "He stood in the center" | | 9 | "He held his ground, the" | | 10 | "Her military training screamed for" | | 11 | "She balanced on the edge" | | 12 | "It reached for her, a" | | 13 | "Her hand trembled against her" | | 14 | "Her pulse quickened, but she" | | 15 | "She didn't look up to" | | 16 | "She tightened her grip on" | | 17 | "It wanted her in." | | 18 | "She leaned into the darkness," | | 19 | "He seemed smaller now, swallowed" |
| | ratio | 0.371 | |
| 17.14% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 70 | | matches | | 0 | "Rain drummed against the pavement," | | 1 | "Harlow Quinn pushed her stride," | | 2 | "His coat whipped in the" | | 3 | "Harlow tapped the worn leather" | | 4 | "The glass held a hairline" | | 5 | "She adjusted her grip on" | | 6 | "He dived into a narrow" | | 7 | "Harlow pivoted, her sharp jaw" | | 8 | "She caught the flash of" | | 9 | "He wasn't just running; he" | | 10 | "The entrance to the Camden" | | 11 | "The air here shifted, thickening" | | 12 | "Dust motes danced in the" | | 13 | "Tomás slammed his hand against" | | 14 | "He fumbled with the chain," | | 15 | "He pulled a small, calcified" | | 16 | "He slammed it into a" | | 17 | "The heavy metal didn't creak;" | | 18 | "A low, vibrating hum resonated" | | 19 | "The massive structure groaned, the" |
| | ratio | 0.886 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 70 | | matches | (empty) | | ratio | 0 | |
| 92.73% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 57 | | technicalSentenceCount | 4 | | matches | | 0 | "She adjusted her grip on the iron railing of a basement stairwell as she banked a corner, her lungs burning with the sharp, metallic tang of ozone and city grim…" | | 1 | "The massive structure groaned, the walls peeling back as if the station itself were exhaling." | | 2 | "He held his ground, the scar on his arm pulsing as if reacting to the proximity of the supernatural goods." | | 3 | "But the image of her partner’s empty desk hovered behind her eyes, a splinter that would never stop stinging." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |