| 80.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 25 | | adverbTagCount | 3 | | adverbTags | | 0 | "She turned back [back]" | | 1 | "she said finally [finally]" | | 2 | "Eva hesitated then [then]" |
| | dialogueSentences | 44 | | tagDensity | 0.568 | | leniency | 1 | | rawRatio | 0.12 | | effectiveRatio | 0.12 | |
| 92.11% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1267 | | totalAiIsmAdverbs | 2 | | found | | 0 | | adverb | "barely above a whisper" | | count | 2 |
|
| | highlights | | 0 | "barely above a whisper" |
| |
| 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) | |
| 17.13% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1267 | | totalAiIsms | 21 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | word | "skipped a beat" | | count | 1 |
| | 10 | | | 11 | | | 12 | | | 13 | | word | "down her spine" | | count | 2 |
| | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "pulse" | | 1 | "chill" | | 2 | "glinting" | | 3 | "otherworldly" | | 4 | "ensuring" | | 5 | "could feel" | | 6 | "etched" | | 7 | "scanning" | | 8 | "furrowing" | | 9 | "skipped a beat" | | 10 | "whisper" | | 11 | "echoing" | | 12 | "eyebrow" | | 13 | "down her spine" | | 14 | "navigate" | | 15 | "racing" | | 16 | "grave" | | 17 | "determined" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 96.91% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 3 | | narrationSentences | 89 | | matches | | 0 | "d with excitement" | | 1 | "felt a chill" | | 2 | "felt a shiver" |
| |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 89 | | filterMatches | | | hedgeMatches | (empty) | |
| 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 | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1265 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 54 | | wordCount | 874 | | uniqueNames | 15 | | maxNameDensity | 2.29 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Eva" | | discoveredNames | | London | 1 | | Detective | 3 | | Harlow | 2 | | Quinn | 20 | | Tube | 1 | | Veil | 1 | | Market | 1 | | Sergeant | 1 | | Davies | 7 | | Greek | 1 | | Together | 1 | | Kowalski | 1 | | Aurora | 1 | | Eva | 12 | | Morris | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Market" | | 3 | "Sergeant" | | 4 | "Davies" | | 5 | "Kowalski" | | 6 | "Aurora" | | 7 | "Eva" | | 8 | "Morris" |
| | places | | | globalScore | 0.356 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1265 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 109 | | matches | (empty) | |
| 96.29% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 33.29 | | std | 16.21 | | cv | 0.487 | | sampleLengths | | 0 | 64 | | 1 | 60 | | 2 | 42 | | 3 | 69 | | 4 | 31 | | 5 | 45 | | 6 | 21 | | 7 | 30 | | 8 | 42 | | 9 | 45 | | 10 | 9 | | 11 | 34 | | 12 | 38 | | 13 | 8 | | 14 | 32 | | 15 | 39 | | 16 | 12 | | 17 | 13 | | 18 | 29 | | 19 | 56 | | 20 | 39 | | 21 | 26 | | 22 | 24 | | 23 | 6 | | 24 | 26 | | 25 | 32 | | 26 | 20 | | 27 | 41 | | 28 | 4 | | 29 | 23 | | 30 | 49 | | 31 | 47 | | 32 | 16 | | 33 | 22 | | 34 | 51 | | 35 | 34 | | 36 | 54 | | 37 | 32 |
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| 89.49% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 89 | | matches | | 0 | "was etched" | | 1 | "were reversed" | | 2 | "was, hidden" | | 3 | "was served" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 166 | | matches | | 0 | "were being" | | 1 | "was lurking" |
| |
| 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 | 318 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 10 | | adverbRatio | 0.031446540880503145 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.006289308176100629 | |
| 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 | 11.61 | | std | 6.98 | | cv | 0.601 | | sampleLengths | | 0 | 26 | | 1 | 19 | | 2 | 19 | | 3 | 23 | | 4 | 16 | | 5 | 21 | | 6 | 19 | | 7 | 13 | | 8 | 10 | | 9 | 14 | | 10 | 17 | | 11 | 13 | | 12 | 12 | | 13 | 10 | | 14 | 3 | | 15 | 13 | | 16 | 18 | | 17 | 30 | | 18 | 15 | | 19 | 10 | | 20 | 4 | | 21 | 7 | | 22 | 6 | | 23 | 24 | | 24 | 14 | | 25 | 17 | | 26 | 11 | | 27 | 14 | | 28 | 3 | | 29 | 12 | | 30 | 10 | | 31 | 6 | | 32 | 9 | | 33 | 2 | | 34 | 22 | | 35 | 10 | | 36 | 11 | | 37 | 13 | | 38 | 11 | | 39 | 3 | | 40 | 6 | | 41 | 2 | | 42 | 4 | | 43 | 23 | | 44 | 5 | | 45 | 8 | | 46 | 20 | | 47 | 11 | | 48 | 9 | | 49 | 3 |
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| 65.14% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.41284403669724773 | | totalSentences | 109 | | uniqueOpeners | 45 | |
| 41.15% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 81 | | matches | | 0 | "Instead, she saw a depth" |
| | ratio | 0.012 | |
| 71.85% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 81 | | matches | | 0 | "She'd been here before, but" | | 1 | "Her partner, Detective Sergeant Davies," | | 2 | "He looked up as she" | | 3 | "he nodded, standing to let" | | 4 | "His eyes were open, staring" | | 5 | "It was the brutality of" | | 6 | "She could feel the market's" | | 7 | "Its casing had a patina" | | 8 | "She turned her attention back" | | 9 | "He'd gone down without a" | | 10 | "she asked, looking up at" | | 11 | "He pointed to a series" | | 12 | "They were reversed Greek letters," | | 13 | "She stepped closer to the" | | 14 | "she said, more to herself" | | 15 | "She turned back to the" | | 16 | "she said, her voice barely" | | 17 | "She looked around the market" | | 18 | "she said, her voice barely" | | 19 | "She'd heard whispers of such" |
| | ratio | 0.37 | |
| 21.73% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 71 | | totalSentences | 81 | | matches | | 0 | "The sign read" | | 1 | "The Veil Market had claimed" | | 2 | "Quinn's breath misted in the" | | 3 | "The market was a labyrinth" | | 4 | "She'd been here before, but" | | 5 | "Her partner, Detective Sergeant Davies," | | 6 | "He looked up as she" | | 7 | "he nodded, standing to let" | | 8 | "The victim was a man," | | 9 | "His eyes were open, staring" | | 10 | "A pool of blood spread" | | 11 | "It was the brutality of" | | 12 | "This wasn't a robbery gone" | | 13 | "This was personal." | | 14 | "Quinn asked, pulling on a" | | 15 | "She could feel the market's" | | 16 | "Davies replied, He held up" | | 17 | "Its casing had a patina" | | 18 | "Quinn took the bag, turning" | | 19 | "Quinn glanced around the market," |
| | ratio | 0.877 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 81 | | matches | | 0 | "If Eva was right, then" | | 1 | "No matter what it took." |
| | ratio | 0.025 | |
| 76.41% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 4 | | matches | | 0 | "She'd been here before, but the layout changed with every visit, the market's magic ensuring it remained hidden from prying eyes." | | 1 | "She could feel the market's magic pressing against her, a low hum that set her teeth on edge." | | 2 | "Quinn glanced around the market, her gaze landing on a stall selling enchanted trinkets." | | 3 | "She looked around the market again, her gaze landing on a stall selling rare herbs and potions." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 25 | | uselessAdditionCount | 8 | | matches | | 0 | "he nodded, standing to let her take his place" | | 1 | "she said, more to herself than to Davies" | | 2 | "she said, her voice barely above a whisper" | | 3 | "she said, her voice barely audible over the market's din" | | 4 | "Quinn replied, her gaze flicking to the stall's wares" | | 5 | "she asked, her voice low" | | 6 | "she asked, her voice barely above a whisper" | | 7 | "she said, turning to lead Eva back towards the body" |
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| 36.36% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 20 | | fancyCount | 5 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "Davies suggested (suggest)" | | 2 | "Quinn muttered (mutter)" | | 3 | "Davies suggested (suggest)" | | 4 | "Quinn interrupted (interrupt)" |
| | dialogueSentences | 44 | | tagDensity | 0.455 | | leniency | 0.909 | | rawRatio | 0.25 | | effectiveRatio | 0.227 | |