| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 91.83% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1224 | | 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) | |
| 50.98% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1224 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "gloom" | | 1 | "weight" | | 2 | "echoing" | | 3 | "perfect" | | 4 | "etched" | | 5 | "trembled" | | 6 | "familiar" | | 7 | "calculated" | | 8 | "unwavering" | | 9 | "racing" | | 10 | "could feel" |
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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 | 2 | | narrationSentences | 109 | | matches | | 0 | "filled with awe" | | 1 | "d with awe" |
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| 90.43% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 1 | | narrationSentences | 109 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 109 | | 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 | 1223 | | ratio | 0 | | matches | (empty) | |
| 0.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 8 | | matches | | 0 | "It is a binding circle, Eva said, her voice echoing slightly in the tunnel." | | 1 | "Rituals do not bleed like this, Quinn said." | | 2 | "Your compass is broken, Eva said, pushing her glasses up her nose." | | 3 | "He was not killed here, Quinn said, snapping the compass shut." | | 4 | "To send a message, Quinn said." | | 5 | "Wait, Eva called out, hurrying to catch up, her satchel bouncing against her hip." | | 6 | "Stay behind me, Quinn said, her voice low." | | 7 | "I told you, Eva whispered, her voice filled with awe and terror." |
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| 72.32% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 53 | | wordCount | 1223 | | uniqueNames | 15 | | maxNameDensity | 1.55 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | Detective | 1 | | Harlow | 1 | | Quinn | 19 | | Tube | 1 | | Veil | 3 | | Market | 5 | | Metropolitan | 1 | | Police | 1 | | Eva | 12 | | Kowalski | 1 | | Shade | 2 | | Morris | 3 | | Compass | 1 | | Soho | 1 |
| | persons | | 0 | "Camden" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Market" | | 4 | "Eva" | | 5 | "Kowalski" | | 6 | "Morris" | | 7 | "Compass" |
| | places | | 0 | "Detective" | | 1 | "Metropolitan" | | 2 | "Soho" |
| | globalScore | 0.723 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 93 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.818 | | wordCount | 1223 | | matches | | 0 | "not at the body, but at the tunnel entrance behind them" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 109 | | matches | (empty) | |
| 75.60% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 25 | | mean | 48.92 | | std | 20.28 | | cv | 0.415 | | sampleLengths | | 0 | 87 | | 1 | 66 | | 2 | 82 | | 3 | 42 | | 4 | 66 | | 5 | 66 | | 6 | 38 | | 7 | 62 | | 8 | 68 | | 9 | 33 | | 10 | 55 | | 11 | 42 | | 12 | 24 | | 13 | 74 | | 14 | 44 | | 15 | 42 | | 16 | 30 | | 17 | 58 | | 18 | 20 | | 19 | 66 | | 20 | 54 | | 21 | 49 | | 22 | 12 | | 23 | 17 | | 24 | 26 |
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| 76.29% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 9 | | totalSentences | 109 | | matches | | 0 | "was staged" | | 1 | "were drawn" | | 2 | "was etched" | | 3 | "is supposed" | | 4 | "was attuned" | | 5 | "been spent" | | 6 | "been drawn" | | 7 | "was taken" | | 8 | "was placed" | | 9 | "was involved" |
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| 74.80% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 213 | | matches | | 0 | "were harvesting" | | 1 | "was following" | | 2 | "was looking" | | 3 | "was going" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 109 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1224 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.027777777777777776 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.006535947712418301 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 109 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 109 | | mean | 11.22 | | std | 6.08 | | cv | 0.542 | | sampleLengths | | 0 | 22 | | 1 | 28 | | 2 | 25 | | 3 | 12 | | 4 | 10 | | 5 | 1 | | 6 | 20 | | 7 | 11 | | 8 | 24 | | 9 | 7 | | 10 | 14 | | 11 | 34 | | 12 | 27 | | 13 | 14 | | 14 | 12 | | 15 | 4 | | 16 | 7 | | 17 | 5 | | 18 | 8 | | 19 | 23 | | 20 | 25 | | 21 | 10 | | 22 | 8 | | 23 | 13 | | 24 | 21 | | 25 | 10 | | 26 | 14 | | 27 | 14 | | 28 | 7 | | 29 | 10 | | 30 | 7 | | 31 | 7 | | 32 | 6 | | 33 | 8 | | 34 | 8 | | 35 | 10 | | 36 | 13 | | 37 | 6 | | 38 | 4 | | 39 | 11 | | 40 | 14 | | 41 | 13 | | 42 | 12 | | 43 | 18 | | 44 | 12 | | 45 | 8 | | 46 | 13 | | 47 | 4 | | 48 | 9 | | 49 | 21 |
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| 43.52% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.28703703703703703 | | totalSentences | 108 | | uniqueOpeners | 31 | |
| 61.73% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 108 | | matches | | 0 | "Maybe the geometry of the" | | 1 | "Then we find out who" |
| | ratio | 0.019 | |
| 75.56% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 108 | | matches | | 0 | "She stood on the cracked" | | 1 | "She had eighteen years of" | | 2 | "She adjusted the collar of" | | 3 | "Her curly red hair was" | | 4 | "It is a binding circle," | | 5 | "She pointed a trembling finger" | | 6 | "They are consistent with Shade" | | 7 | "She was forty-one, old enough" | | 8 | "She would not make the" | | 9 | "She pulled a latex glove" | | 10 | "She walked the perimeter of" | | 11 | "They were drawn with a" | | 12 | "It was a cleanup." | | 13 | "She reached into her pocket" | | 14 | "It was a small brass" | | 15 | "Your compass is broken, Eva" | | 16 | "It is supposed to point" | | 17 | "It trembled, then swung back" | | 18 | "It had been drawn from" | | 19 | "He was not killed here," |
| | ratio | 0.361 | |
| 66.48% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 85 | | totalSentences | 108 | | matches | | 0 | "The air beneath Camden tasted" | | 1 | "She stood on the cracked" | | 2 | "This was the Veil Market," | | 3 | "Tonight, it was empty, save" | | 4 | "Quinn checked the worn leather" | | 5 | "She had eighteen years of" | | 6 | "The shadows here seemed to" | | 7 | "She adjusted the collar of" | | 8 | "The younger woman was small," | | 9 | "Her curly red hair was" | | 10 | "Eva wore round glasses that" | | 11 | "It is a binding circle," | | 12 | "She pointed a trembling finger" | | 13 | "They are consistent with Shade" | | 14 | "This was a ritual execution." | | 15 | "Quinn crouched beside the body," | | 16 | "She was forty-one, old enough" | | 17 | "Morris had died three years" | | 18 | "She would not make the" | | 19 | "Rituals do not bleed like" |
| | ratio | 0.787 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 9 | | totalSentences | 108 | | matches | | 0 | "If his throat was cut" | | 1 | "If this was a ritual" | | 2 | "If the needle pointed away" | | 3 | "If they were harvesting energy," | | 4 | "To send a message, Quinn" | | 5 | "If you are right, then" | | 6 | "If they are drawing power" | | 7 | "If this is a conduit," | | 8 | "If the clique was involved," |
| | ratio | 0.083 | |
| 58.11% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 59 | | technicalSentenceCount | 7 | | matches | | 0 | "The air beneath Camden tasted of rust and wet concrete, a metallic tang that coated the back of Detective Harlow Quinn's throat." | | 1 | "She stood on the cracked tiles of the abandoned Tube station, the beam of her torch cutting through the gloom to reveal peeling posters from a decade past." | | 2 | "She adjusted the collar of her coat, her movements sharp, possessing a military precision that had survived the transition from army to Metropolitan Police." | | 3 | "Her curly red hair was a vibrant shock against the grey decay, and she kept tucking a stray lock behind her left ear, a nervous tic that had accelerated since t…" | | 4 | "Eva wore round glasses that reflected the torchlight, hiding her green eyes, and clutched a worn leather satchel full of books against her chest like a shield." | | 5 | "Quinn holstered her torch and began walking toward the tunnel entrance, her boots clicking on the tiles." | | 6 | "She glanced back at Eva, who was following close enough to be useful but far enough to be safe." |
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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 | |