| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 48 | | tagDensity | 0.396 | | leniency | 0.792 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.43% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1401 | | 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) | |
| 50.04% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1401 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "echoing" | | 1 | "familiar" | | 2 | "weight" | | 3 | "measured" | | 4 | "scanned" | | 5 | "eyebrow" | | 6 | "perfect" | | 7 | "scanning" | | 8 | "electric" | | 9 | "shimmered" | | 10 | "raced" | | 11 | "comforting" | | 12 | "apprehension" | | 13 | "determined" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 70 | | matches | | |
| 61.22% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 70 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 99 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1389 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 20 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 62 | | wordCount | 878 | | uniqueNames | 11 | | maxNameDensity | 3.19 | | worstName | "Quinn" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 2 | | Quinn | 28 | | Tube | 1 | | Camden | 1 | | Victorian | 1 | | Veil | 4 | | Compass | 4 | | Morris | 1 | | Eva | 17 | | Kowalski | 1 | | Detective | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Compass" | | 3 | "Morris" | | 4 | "Eva" | | 5 | "Kowalski" |
| | places | (empty) | | globalScore | 0 | | windowScore | 0 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 6 | | matches | | 0 | "looked like expensive but outdated clothi" | | 1 | "seemed almost holographic in the dim light" | | 2 | "seemed confused" | | 3 | "looked like blood" | | 4 | "crack that seemed to shimmer with unnatural energy" | | 5 | "symbols that seemed to writhe in the presence of the flashlight" |
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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 | 1389 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 99 | | matches | (empty) | |
| 95.66% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 31.57 | | std | 15.31 | | cv | 0.485 | | sampleLengths | | 0 | 62 | | 1 | 24 | | 2 | 21 | | 3 | 37 | | 4 | 52 | | 5 | 20 | | 6 | 26 | | 7 | 68 | | 8 | 11 | | 9 | 51 | | 10 | 13 | | 11 | 39 | | 12 | 15 | | 13 | 40 | | 14 | 32 | | 15 | 25 | | 16 | 13 | | 17 | 20 | | 18 | 27 | | 19 | 20 | | 20 | 5 | | 21 | 33 | | 22 | 35 | | 23 | 20 | | 24 | 36 | | 25 | 7 | | 26 | 29 | | 27 | 32 | | 28 | 43 | | 29 | 28 | | 30 | 33 | | 31 | 38 | | 32 | 57 | | 33 | 27 | | 34 | 24 | | 35 | 34 | | 36 | 32 | | 37 | 28 | | 38 | 22 | | 39 | 47 | | 40 | 25 | | 41 | 31 | | 42 | 28 | | 43 | 79 |
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| 65.16% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 8 | | totalSentences | 70 | | matches | | 0 | "was dressed" | | 1 | "being flung" | | 2 | "were covered" | | 3 | "was pulled" | | 4 | "was replaced" | | 5 | "been cleaned" | | 6 | "been placed" | | 7 | "was determined" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 155 | | matches | | 0 | "was twitching" | | 1 | "wasn't behaving" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 99 | | ratio | 0.101 | | matches | | 0 | "The air smelled of mildew and something else—something metallic and ancient that made the hairs on her arms stand up." | | 1 | "The victim was dressed in what looked like expensive but outdated clothing—Victorian-era style with a pocket watch chain dangling from his waistcoat." | | 2 | "It wasn't something she recognized—a series of interconnected lines forming a geometric pattern that seemed almost holographic in the dim light." | | 3 | "She pulled out her notebook, her fingers brushing against the verdigris patina of her Veil Compass in her pocket—something she always carried since the Morris case." | | 4 | "It wasn't behaving like it normally did around supernatural energy—instead of pointing to a consistent source, it seemed confused." | | 5 | "The graffiti wasn't just random vandalism—it was a map of sorts, showing symbols that corresponded to different areas of the station." | | 6 | "The air grew colder as they approached, and the smell of mildew was replaced by something else—something metallic and electric, like ozone after a storm." | | 7 | "The inconsistent evidence, the strange symbol, the Veil Compass's erratic behavior—it all pointed to something beyond ordinary police work." | | 8 | "The Veil Compass in her hand finally settled, pointing toward a small crack in the wall near the altar—a crack that seemed to shimmer with unnatural energy." | | 9 | "The evidence didn't add up because it wasn't meant to—this was a crime scene from a world that operated by different rules, and Detective Harlow Quinn was determined to uncover the truth, no matter how supernatural it might be." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 889 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.02924634420697413 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.008998875140607425 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 99 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 99 | | mean | 14.03 | | std | 6.84 | | cv | 0.487 | | sampleLengths | | 0 | 19 | | 1 | 20 | | 2 | 23 | | 3 | 15 | | 4 | 9 | | 5 | 11 | | 6 | 10 | | 7 | 12 | | 8 | 25 | | 9 | 12 | | 10 | 22 | | 11 | 18 | | 12 | 12 | | 13 | 8 | | 14 | 7 | | 15 | 19 | | 16 | 13 | | 17 | 19 | | 18 | 15 | | 19 | 21 | | 20 | 3 | | 21 | 8 | | 22 | 7 | | 23 | 18 | | 24 | 26 | | 25 | 7 | | 26 | 6 | | 27 | 17 | | 28 | 22 | | 29 | 10 | | 30 | 5 | | 31 | 19 | | 32 | 9 | | 33 | 12 | | 34 | 8 | | 35 | 15 | | 36 | 9 | | 37 | 11 | | 38 | 14 | | 39 | 4 | | 40 | 9 | | 41 | 9 | | 42 | 11 | | 43 | 7 | | 44 | 20 | | 45 | 2 | | 46 | 18 | | 47 | 5 | | 48 | 15 | | 49 | 18 |
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| 67.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.41414141414141414 | | totalSentences | 99 | | uniqueOpeners | 41 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 10 | | totalSentences | 65 | | matches | | 0 | "She adjusted her worn leather" | | 1 | "His eyes were wide open," | | 2 | "she added, pointing to a" | | 3 | "It wasn't something she recognized—a" | | 4 | "She pulled out her notebook," | | 5 | "Her green eyes scanned the" | | 6 | "She examined the symbol on" | | 7 | "It wasn't behaving like it" | | 8 | "They made their way toward" | | 9 | "They entered the service tunnel" |
| | ratio | 0.154 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 65 | | matches | | 0 | "Detective Harlow Quinn arrived at" | | 1 | "The air smelled of mildew" | | 2 | "She adjusted her worn leather" | | 3 | "Quinn nodded, her sharp jawline" | | 4 | "The uniformed officer gestured toward" | | 5 | "Quinn approached the body, her" | | 6 | "The victim was dressed in" | | 7 | "His eyes were wide open," | | 8 | "Quinn said, kneeling beside the" | | 9 | "the officer confirmed" | | 10 | "Quinn's eyes narrowed as she" | | 11 | "The droplets were perfectly circular," | | 12 | "she added, pointing to a" | | 13 | "It wasn't something she recognized—a" | | 14 | "The officer shrugged." | | 15 | "Quinn's gaze drifted around the" | | 16 | "The walls were covered in" | | 17 | "She pulled out her notebook," | | 18 | "a voice called from behind" | | 19 | "Quinn turned to see Eva" |
| | ratio | 0.938 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 7 | | matches | | 0 | "His eyes were wide open, staring at the ceiling as if he'd seen something terrifying before his death." | | 1 | "The droplets were perfectly circular, as if they'd fallen straight down rather than being flung in a violent struggle." | | 2 | "It wasn't something she recognized—a series of interconnected lines forming a geometric pattern that seemed almost holographic in the dim light." | | 3 | "The graffiti wasn't just random vandalism—it was a map of sorts, showing symbols that corresponded to different areas of the station." | | 4 | "The Veil Compass in her hand finally settled, pointing toward a small crack in the wall near the altar—a crack that seemed to shimmer with unnatural energy." | | 5 | "The beam of light cut through the darkness, illuminating symbols that seemed to writhe in the presence of the flashlight." | | 6 | "The evidence didn't add up because it wasn't meant to—this was a crime scene from a world that operated by different rules, and Detective Harlow Quinn was deter…" |
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| 19.74% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 4 | | matches | | 0 | "Eva said, her voice low and serious" | | 1 | "Quinn asked, her interest piqued" | | 2 | "Eva said, kneeling to examine the residue" | | 3 | "Eva said, her voice grim" |
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| 45.83% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 17 | | fancyCount | 5 | | fancyTags | | 0 | "the officer confirmed (confirm)" | | 1 | "she added (add)" | | 2 | "Eva agreed (agree)" | | 3 | "Eva explained (explain)" | | 4 | "Quinn murmured (murmur)" |
| | dialogueSentences | 48 | | tagDensity | 0.354 | | leniency | 0.708 | | rawRatio | 0.294 | | effectiveRatio | 0.208 | |