| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 30 | | tagDensity | 0.467 | | leniency | 0.933 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 974 | | 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) | |
| 79.47% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 974 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "trembled" | | 1 | "etched" | | 2 | "silence" | | 3 | "shimmered" |
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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 | 0 | | narrationSentences | 64 | | matches | (empty) | |
| 98.21% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 64 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 80 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 99 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 974 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 44 | | wordCount | 561 | | uniqueNames | 10 | | maxNameDensity | 3.21 | | worstName | "Quinn" | | maxWindowNameDensity | 5 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 18 | | Camden | 2 | | Kowalski | 1 | | Tube | 1 | | Veil | 3 | | Market | 1 | | Eva | 14 | | Compass | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Kowalski" | | 3 | "Market" | | 4 | "Eva" |
| | places | (empty) | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 37 | | 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 | 974 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 80 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 32.47 | | std | 25.54 | | cv | 0.787 | | sampleLengths | | 0 | 72 | | 1 | 38 | | 2 | 4 | | 3 | 10 | | 4 | 41 | | 5 | 35 | | 6 | 26 | | 7 | 25 | | 8 | 8 | | 9 | 11 | | 10 | 63 | | 11 | 39 | | 12 | 51 | | 13 | 7 | | 14 | 53 | | 15 | 21 | | 16 | 8 | | 17 | 54 | | 18 | 18 | | 19 | 126 | | 20 | 15 | | 21 | 63 | | 22 | 25 | | 23 | 42 | | 24 | 11 | | 25 | 26 | | 26 | 18 | | 27 | 18 | | 28 | 9 | | 29 | 37 |
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| 99.78% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 64 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 100 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 80 | | ratio | 0.013 | | matches | | 0 | "Salt-and-pepper hair caught the dying bulb-light; her sharp jaw tightened." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 565 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.03893805309734513 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0035398230088495575 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 80 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 80 | | mean | 12.18 | | std | 13.75 | | cv | 1.129 | | sampleLengths | | 0 | 29 | | 1 | 10 | | 2 | 33 | | 3 | 20 | | 4 | 18 | | 5 | 4 | | 6 | 5 | | 7 | 5 | | 8 | 20 | | 9 | 7 | | 10 | 6 | | 11 | 8 | | 12 | 22 | | 13 | 5 | | 14 | 8 | | 15 | 7 | | 16 | 3 | | 17 | 16 | | 18 | 2 | | 19 | 6 | | 20 | 2 | | 21 | 3 | | 22 | 12 | | 23 | 5 | | 24 | 3 | | 25 | 7 | | 26 | 4 | | 27 | 6 | | 28 | 11 | | 29 | 6 | | 30 | 40 | | 31 | 16 | | 32 | 11 | | 33 | 12 | | 34 | 2 | | 35 | 30 | | 36 | 19 | | 37 | 7 | | 38 | 7 | | 39 | 2 | | 40 | 44 | | 41 | 4 | | 42 | 8 | | 43 | 9 | | 44 | 8 | | 45 | 7 | | 46 | 5 | | 47 | 16 | | 48 | 26 | | 49 | 5 |
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| 41.25% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.25 | | totalSentences | 80 | | uniqueOpeners | 20 | |
| 74.07% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 45 | | matches | | 0 | "Only a rust stain shaped" |
| | ratio | 0.022 | |
| 95.56% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 45 | | matches | | 0 | "She wore her worn leather" | | 1 | "She tucked her hair behind" | | 2 | "Her fingers hovered over the" | | 3 | "She drew a small flashlight," | | 4 | "She used the ambient glow" | | 5 | "She noticed the shoes: polished" | | 6 | "She pointed to the wall." | | 7 | "Her breath came in short" | | 8 | "She knelt, picked up the" | | 9 | "She adjusted her glasses with" | | 10 | "She stood, brushed her coat," | | 11 | "She did not turn around." | | 12 | "Her sharp jaw was set." | | 13 | "She held out the broken" |
| | ratio | 0.311 | |
| 4.44% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 41 | | totalSentences | 45 | | matches | | 0 | "The tiles groaned under Detective" | | 1 | "Salt-and-pepper hair caught the dying" | | 2 | "She wore her worn leather" | | 3 | "Eva Kowalski stood at the" | | 4 | "She tucked her hair behind" | | 5 | "Quinn stepped past her, into" | | 6 | "The walls breathed with damp" | | 7 | "The air smelled of ozone" | | 8 | "A body lay slumped beside" | | 9 | "Eva pulled her glasses up" | | 10 | "Her fingers hovered over the" | | 11 | "The skin had the waxy" | | 12 | "Eva’s eyes widened behind the" | | 13 | "She drew a small flashlight," | | 14 | "She used the ambient glow" | | 15 | "Eva tucked her hair behind" | | 16 | "The Veil Compass lay cracked" | | 17 | "The needle was bent, but" | | 18 | "Quinn circled the body." | | 19 | "She noticed the shoes: polished" |
| | ratio | 0.911 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 45 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 19 | | technicalSentenceCount | 4 | | matches | | 0 | "The tiles groaned under Detective Harlow Quinn’s boots as she descended the Camden stairwell, past the triple-locked gate, into the air that had no right to fee…" | | 1 | "She wore her worn leather watch on the left wrist, the strap cracked like old leather, and she moved with that military precision that made every step sound lik…" | | 2 | "The Veil Compass lay cracked three feet away, brass casing dulled by a patina of verdigris, the face etched with protective sigils that had been scraped away by…" | | 3 | "Eva reached, her green eyes fixed on Quinn’s brown ones, and the two women stood in the abandoned station, surrounded by lies that smelled of copper, while the …" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 1 | | fancyTags | | 0 | "Quinn continued (continue)" |
| | dialogueSentences | 30 | | tagDensity | 0.467 | | leniency | 0.933 | | rawRatio | 0.071 | | effectiveRatio | 0.067 | |