| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.308 | | leniency | 0.615 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 778 | | 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) | |
| 42.16% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 778 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "flickered" | | 1 | "dancing" | | 2 | "gloom" | | 3 | "traced" | | 4 | "furrowing" | | 5 | "tracing" | | 6 | "etched" | | 7 | "racing" | | 8 | "determined" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 35 | | matches | (empty) | |
| 61.22% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 35 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 44 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 777 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 45.59% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 431 | | uniqueNames | 10 | | maxNameDensity | 2.09 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Eva" | | discoveredNames | | Quinn | 9 | | Crown | 1 | | Vic | 1 | | Camden | 1 | | Town | 1 | | Tube | 1 | | Kowalski | 1 | | Eva | 7 | | Veil | 2 | | Compass | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Crown" | | 2 | "Vic" | | 3 | "Kowalski" | | 4 | "Eva" | | 5 | "Veil" |
| | places | | | globalScore | 0.456 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 32 | | 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 | 777 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 44 | | matches | (empty) | |
| 69.20% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 12 | | mean | 64.75 | | std | 25.39 | | cv | 0.392 | | sampleLengths | | 0 | 95 | | 1 | 112 | | 2 | 52 | | 3 | 92 | | 4 | 46 | | 5 | 79 | | 6 | 40 | | 7 | 40 | | 8 | 44 | | 9 | 55 | | 10 | 35 | | 11 | 87 |
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| 85.21% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 35 | | matches | | 0 | "was designed" | | 1 | "was determined" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 72 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 44 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 432 | | adjectiveStacks | 1 | | stackExamples | | 0 | "illuminating faint, faded sigils." |
| | adverbCount | 9 | | adverbRatio | 0.020833333333333332 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.011574074074074073 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 44 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 44 | | mean | 17.66 | | std | 11.22 | | cv | 0.635 | | sampleLengths | | 0 | 15 | | 1 | 16 | | 2 | 10 | | 3 | 20 | | 4 | 17 | | 5 | 17 | | 6 | 8 | | 7 | 13 | | 8 | 13 | | 9 | 14 | | 10 | 17 | | 11 | 8 | | 12 | 20 | | 13 | 16 | | 14 | 3 | | 15 | 12 | | 16 | 11 | | 17 | 9 | | 18 | 20 | | 19 | 7 | | 20 | 12 | | 21 | 19 | | 22 | 12 | | 23 | 13 | | 24 | 29 | | 25 | 8 | | 26 | 38 | | 27 | 10 | | 28 | 45 | | 29 | 24 | | 30 | 11 | | 31 | 29 | | 32 | 7 | | 33 | 33 | | 34 | 5 | | 35 | 39 | | 36 | 7 | | 37 | 48 | | 38 | 8 | | 39 | 27 | | 40 | 13 | | 41 | 45 | | 42 | 12 | | 43 | 17 |
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| 81.06% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.5 | | totalSentences | 44 | | uniqueOpeners | 22 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 35 | | matches | (empty) | | ratio | 0 | |
| 71.43% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 35 | | matches | | 0 | "She stepped out, her polished" | | 1 | "Her sharp gaze swept the" | | 2 | "Her watch ticked steadily on" | | 3 | "She adjusted her collar, the" | | 4 | "It was unnatural." | | 5 | "She traced the edges with" | | 6 | "she murmured, her voice low" | | 7 | "Her curly red hair escaped" | | 8 | "She held a worn leather" | | 9 | "She flipped open the notebook," | | 10 | "She turned to Eva, her" | | 11 | "She took a step towards" | | 12 | "They held answers, and Quinn" |
| | ratio | 0.371 | |
| 17.14% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 31 | | totalSentences | 35 | | matches | | 0 | "Detective Quinn parked her unmarked" | | 1 | "The air hung thick with" | | 2 | "She stepped out, her polished" | | 3 | "Her sharp gaze swept the" | | 4 | "Her watch ticked steadily on" | | 5 | "She adjusted her collar, the" | | 6 | "Quinn’s flashlight beam cut through" | | 7 | "A body lay sprawled near" | | 8 | "The victim, a man in" | | 9 | "The wounds were clean, almost" | | 10 | "It was unnatural." | | 11 | "Quinn knelt beside the body," | | 12 | "She traced the edges with" | | 13 | "she murmured, her voice low" | | 14 | "A figure emerged from the" | | 15 | "Eva Kowalski, Quinn’s friend and" | | 16 | "Her curly red hair escaped" | | 17 | "She held a worn leather" | | 18 | "Eva said, her voice calm" | | 19 | "Quinn straightened, her sharp eyes" |
| | ratio | 0.886 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 35 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 1 | | matches | | 0 | "Quinn’s flashlight beam cut through the gloom, illuminating a scene that defied logic." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 3 | | matches | | 0 | "she murmured, her voice low" | | 1 | "Eva said, her voice calm but observant" | | 2 | "She flipped, her fingers tracing a diagram" |
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| 73.08% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 13 | | tagDensity | 0.154 | | leniency | 0.308 | | rawRatio | 0.5 | | effectiveRatio | 0.154 | |