| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 18 | | tagDensity | 0.389 | | leniency | 0.778 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 702 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 702 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "scanned" | | 1 | "etched" | | 2 | "racing" | | 3 | "scanning" | | 4 | "complex" | | 5 | "sense of" | | 6 | "unravel" | | 7 | "stomach" | | 8 | "trepidation" | | 9 | "delved" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 78.70% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 36 | | matches | | 0 | "a sense of relief" | | 1 | "a sense of determination" |
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| 63.49% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 36 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 47 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 705 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.95% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 517 | | uniqueNames | 8 | | maxNameDensity | 2.32 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 12 | | Tube | 1 | | Camden | 1 | | Detective | 2 | | Davies | 6 | | Eva | 6 | | Kowalski | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Detective" | | 3 | "Davies" | | 4 | "Eva" | | 5 | "Kowalski" |
| | places | (empty) | | globalScore | 0.339 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 31 | | 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 | 705 | | matches | (empty) | |
| 24.82% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 47 | | matches | | 0 | "warning that this" | | 1 | "beginning – that the" |
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| 74.59% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 23 | | mean | 30.65 | | std | 12.6 | | cv | 0.411 | | sampleLengths | | 0 | 56 | | 1 | 16 | | 2 | 29 | | 3 | 38 | | 4 | 47 | | 5 | 16 | | 6 | 17 | | 7 | 43 | | 8 | 21 | | 9 | 33 | | 10 | 50 | | 11 | 36 | | 12 | 8 | | 13 | 42 | | 14 | 15 | | 15 | 40 | | 16 | 38 | | 17 | 32 | | 18 | 30 | | 19 | 34 | | 20 | 14 | | 21 | 21 | | 22 | 29 |
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| 95.52% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 36 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 84 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 47 | | ratio | 0.085 | | matches | | 0 | "The symbols etched into the skin were indeed unusual – a mix of ancient languages and alchemical symbols she'd only seen in obscure texts." | | 1 | "She walked over to the body, taking in the victim's clothing – a long, black coat with a silver pin on the lapel." | | 2 | "The compass's face was etched with protective sigils, and its needle pointed toward the nearest supernatural rift or portal – a tool used by those who dealt with the occult." | | 3 | "Quinn's gut told her that this was just the beginning – that the symbols, the compass, and the unusual location all pointed to something much larger, much darker." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 513 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 13 | | adverbRatio | 0.025341130604288498 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.007797270955165692 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 47 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 47 | | mean | 15 | | std | 8.13 | | cv | 0.542 | | sampleLengths | | 0 | 20 | | 1 | 14 | | 2 | 22 | | 3 | 10 | | 4 | 6 | | 5 | 25 | | 6 | 4 | | 7 | 31 | | 8 | 7 | | 9 | 8 | | 10 | 24 | | 11 | 15 | | 12 | 16 | | 13 | 4 | | 14 | 13 | | 15 | 3 | | 16 | 4 | | 17 | 23 | | 18 | 13 | | 19 | 16 | | 20 | 5 | | 21 | 8 | | 22 | 25 | | 23 | 20 | | 24 | 30 | | 25 | 24 | | 26 | 12 | | 27 | 8 | | 28 | 25 | | 29 | 17 | | 30 | 9 | | 31 | 6 | | 32 | 9 | | 33 | 13 | | 34 | 18 | | 35 | 17 | | 36 | 21 | | 37 | 28 | | 38 | 4 | | 39 | 30 | | 40 | 10 | | 41 | 17 | | 42 | 7 | | 43 | 14 | | 44 | 12 | | 45 | 9 | | 46 | 29 |
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| 81.56% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.48936170212765956 | | totalSentences | 47 | | uniqueOpeners | 23 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 36 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 7 | | totalSentences | 36 | | matches | | 0 | "her colleague, Detective Davies, said," | | 1 | "She tucked the hands back" | | 2 | "she asked, her eyes scanning" | | 3 | "She walked over to the" | | 4 | "She tucked the compass into" | | 5 | "She carried a worn leather" | | 6 | "She turned to Davies." |
| | ratio | 0.194 | |
| 29.44% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 31 | | totalSentences | 36 | | matches | | 0 | "Detective Harlow Quinn stepped into" | | 1 | "A low hum of conversation" | | 2 | "her colleague, Detective Davies, said," | | 3 | "Quinn's eyes scanned the area," | | 4 | "Davies handed Quinn a pair" | | 5 | "Quinn's gaze narrowed as she" | | 6 | "The symbols etched into the" | | 7 | "She tucked the hands back" | | 8 | "she asked, her eyes scanning" | | 9 | "Davies shook his head." | | 10 | "Quinn's instincts prickled." | | 11 | "Something didn't add up." | | 12 | "She walked over to the" | | 13 | "The pin depicted a crescent" | | 14 | "Davies said, following her gaze" | | 15 | "Quinn nodded, her mind still" | | 16 | "The compass's face was etched" | | 17 | "A faint hum began to" | | 18 | "She tucked the compass into" | | 19 | "Davies said, nodding toward the" |
| | ratio | 0.861 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 36 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 1 | | matches | | 0 | "Eva nodded, her eyes scanning the area before focusing on the evidence bag containing the victim's hands." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 3 | | matches | | 0 | "she asked, her eyes scanning the area once more" | | 1 | "Eva said, her voice low and husky" | | 2 | "Quinn said, a sense of determination settling in her stomach" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 18 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |