| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 17 | | tagDensity | 0.529 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.04% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1254 | | totalAiIsmAdverbs | 3 | | 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) | |
| 20.26% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1254 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "scanned" | | 1 | "footsteps" | | 2 | "echoed" | | 3 | "treacherous" | | 4 | "otherworldly" | | 5 | "quickened" | | 6 | "racing" | | 7 | "intricate" | | 8 | "flicked" | | 9 | "calculating" | | 10 | "scanning" | | 11 | "pulse" | | 12 | "whisper" | | 13 | "unreadable" | | 14 | "wavering" | | 15 | "glistening" | | 16 | "determined" |
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| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "heart pounded in chest" | | count | 1 |
| | 1 | | label | "eyes widened/narrowed" | | count | 1 |
| | 2 | | label | "air was thick with" | | count | 1 |
|
| | highlights | | 0 | "heart pounded in her chest" | | 1 | "eyes narrowed" | | 2 | "The air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 100 | | matches | | |
| 57.14% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 5 | | narrationSentences | 100 | | filterMatches | | | hedgeMatches | | 0 | "began to" | | 1 | "started to" | | 2 | "seemed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 108 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1251 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 1104 | | uniqueNames | 7 | | maxNameDensity | 1.81 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 20 | | Soho | 1 | | Veil | 1 | | Market | 1 | | Clique | 3 |
| | persons | | | places | | | globalScore | 0.594 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 84 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1251 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 108 | | matches | (empty) | |
| 99.37% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 36.79 | | std | 18.32 | | cv | 0.498 | | sampleLengths | | 0 | 50 | | 1 | 54 | | 2 | 44 | | 3 | 68 | | 4 | 40 | | 5 | 54 | | 6 | 63 | | 7 | 58 | | 8 | 53 | | 9 | 54 | | 10 | 47 | | 11 | 46 | | 12 | 4 | | 13 | 28 | | 14 | 11 | | 15 | 27 | | 16 | 19 | | 17 | 25 | | 18 | 4 | | 19 | 35 | | 20 | 41 | | 21 | 55 | | 22 | 41 | | 23 | 12 | | 24 | 22 | | 25 | 7 | | 26 | 38 | | 27 | 8 | | 28 | 35 | | 29 | 45 | | 30 | 16 | | 31 | 54 | | 32 | 60 | | 33 | 33 |
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| 91.23% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 100 | | matches | | 0 | "was disturbed" | | 1 | "been dragged" | | 2 | "been grafted" | | 3 | "were lined" | | 4 | "was determined" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 182 | | matches | | 0 | "was wearing" | | 1 | "was dealing" |
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| 89.95% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 108 | | ratio | 0.019 | | matches | | 0 | "A faint trace of something unusual caught her nose—something that didn't belong in the natural world." | | 1 | "She had to decide—follow the suspect into the unknown, or turn back and seek reinforcements." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1107 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.02077687443541102 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.009033423667570008 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 108 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 108 | | mean | 11.58 | | std | 5.07 | | cv | 0.438 | | sampleLengths | | 0 | 16 | | 1 | 16 | | 2 | 18 | | 3 | 7 | | 4 | 8 | | 5 | 11 | | 6 | 5 | | 7 | 12 | | 8 | 6 | | 9 | 5 | | 10 | 14 | | 11 | 8 | | 12 | 16 | | 13 | 6 | | 14 | 20 | | 15 | 5 | | 16 | 14 | | 17 | 13 | | 18 | 16 | | 19 | 9 | | 20 | 5 | | 21 | 14 | | 22 | 12 | | 23 | 12 | | 24 | 19 | | 25 | 15 | | 26 | 8 | | 27 | 12 | | 28 | 15 | | 29 | 6 | | 30 | 15 | | 31 | 15 | | 32 | 15 | | 33 | 14 | | 34 | 14 | | 35 | 15 | | 36 | 15 | | 37 | 12 | | 38 | 11 | | 39 | 15 | | 40 | 12 | | 41 | 15 | | 42 | 12 | | 43 | 15 | | 44 | 10 | | 45 | 15 | | 46 | 9 | | 47 | 13 | | 48 | 7 | | 49 | 14 |
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| 45.37% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.25 | | totalSentences | 108 | | uniqueOpeners | 27 | |
| 35.46% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 94 | | matches | | 0 | "Too much was at stake." |
| | ratio | 0.011 | |
| 88.09% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 94 | | matches | | 0 | "She sprinted through the narrow," | | 1 | "Her eyes, sharp and focused," | | 2 | "She had to be careful." | | 3 | "she muttered to herself, her" | | 4 | "She pushed through the rain," | | 5 | "She followed the trail to" | | 6 | "It looked out of place," | | 7 | "Her hand hovered over the" | | 8 | "She moved forward, her senses" | | 9 | "She had to decide—follow the" | | 10 | "She took a deep breath" | | 11 | "Her trained gaze caught a" | | 12 | "She started to follow, her" | | 13 | "She moved through the aisles," | | 14 | "He turned a corner, disappearing" | | 15 | "She rounded the corner and" | | 16 | "He clutched the box protectively" | | 17 | "His voice was a mix" | | 18 | "She raised her weapon slightly," | | 19 | "She recovered quickly, her eyes" |
| | ratio | 0.33 | |
| 18.51% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 83 | | totalSentences | 94 | | matches | | 0 | "The rain came down in" | | 1 | "She sprinted through the narrow," | | 2 | "The suspect, a pale blur" | | 3 | "Quinn's grip tightened on her" | | 4 | "Her eyes, sharp and focused," | | 5 | "The sound of her own" | | 6 | "She had to be careful." | | 7 | "The city at night, especially" | | 8 | "she muttered to herself, her" | | 9 | "She pushed through the rain," | | 10 | "A faint trace of something" | | 11 | "The scent of brimstone and" | | 12 | "The alley opened into a" | | 13 | "Quinn paused, her eyes narrowing." | | 14 | "The ground was disturbed, as" | | 15 | "She followed the trail to" | | 16 | "It looked out of place," | | 17 | "Her hand hovered over the" | | 18 | "This was not her territory." | | 19 | "The air grew colder, and" |
| | ratio | 0.883 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 94 | | matches | (empty) | | ratio | 0 | |
| 94.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 59 | | technicalSentenceCount | 4 | | matches | | 0 | "A faint trace of something unusual caught her nose—something that didn't belong in the natural world." | | 1 | "The alley opened into a small courtyard, the rain pooling in puddles that reflected the flickering lights of the streetlamps." | | 2 | "She turned back to the vendor, who had watched the entire exchange with a unsettling calm." | | 3 | "She started walking, her eyes scanning the area for any sign of her suspect." |
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| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 1 | | matches | | 0 | "she muttered, her voice a low growl" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 7 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she demanded (demand)" | | 2 | "Quinn interrupted (interrupt)" | | 3 | "she warned (warn)" | | 4 | "she muttered (mutter)" | | 5 | "Quinn demanded (demand)" | | 6 | "Quinn insisted (insist)" |
| | dialogueSentences | 17 | | tagDensity | 0.471 | | leniency | 0.941 | | rawRatio | 0.875 | | effectiveRatio | 0.824 | |