| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 1 | | adverbTags | | 0 | "Eva said finally [finally]" |
| | dialogueSentences | 30 | | tagDensity | 0.433 | | leniency | 0.867 | | rawRatio | 0.077 | | effectiveRatio | 0.067 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1086 | | 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) | |
| 40.15% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1086 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "echoed" | | 1 | "gloom" | | 2 | "etched" | | 3 | "flicker" | | 4 | "chill" | | 5 | "database" | | 6 | "shimmered" | | 7 | "warmth" | | 8 | "tracing" | | 9 | "scanned" | | 10 | "scanning" | | 11 | "echoing" | | 12 | "weight" |
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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 | 84 | | matches | (empty) | |
| 91.84% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 84 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "started to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 99 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 11 | | markdownWords | 18 | | totalWords | 1083 | | ratio | 0.017 | | matches | | 0 | "watching" | | 1 | "what" | | 2 | "glazed" | | 3 | "unmade" | | 4 | "climbing" | | 5 | "toward" | | 6 | "hers" | | 7 | "Until now." | | 8 | "disassembled" | | 9 | "like the water on the corpse’s floor" | | 10 | "growing" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 55 | | wordCount | 734 | | uniqueNames | 9 | | maxNameDensity | 2.59 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Quinn | 19 | | Eva | 12 | | Kowalski | 1 | | Guilt | 1 | | Compass | 10 | | Raj | 7 | | Chopra | 1 | | Market | 3 |
| | persons | | 0 | "Quinn" | | 1 | "Eva" | | 2 | "Kowalski" | | 3 | "Compass" | | 4 | "Raj" | | 5 | "Chopra" | | 6 | "Market" |
| | places | (empty) | | globalScore | 0.206 | | windowScore | 0.167 | |
| 5.77% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like it was *watching*" | | 1 | "as if reflecting starlight" | | 2 | "tunnels that seemed to shift when you weren’t looking" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1083 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 99 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 34.94 | | std | 22.15 | | cv | 0.634 | | sampleLengths | | 0 | 99 | | 1 | 76 | | 2 | 21 | | 3 | 47 | | 4 | 67 | | 5 | 24 | | 6 | 41 | | 7 | 48 | | 8 | 47 | | 9 | 24 | | 10 | 59 | | 11 | 11 | | 12 | 64 | | 13 | 52 | | 14 | 61 | | 15 | 11 | | 16 | 20 | | 17 | 43 | | 18 | 20 | | 19 | 11 | | 20 | 14 | | 21 | 35 | | 22 | 10 | | 23 | 30 | | 24 | 13 | | 25 | 28 | | 26 | 24 | | 27 | 18 | | 28 | 33 | | 29 | 23 | | 30 | 9 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 84 | | matches | | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 139 | | matches | | 0 | "was *watching" | | 1 | "were already working" | | 2 | "was mapping" | | 3 | "weren’t looking" | | 4 | "wasn’t just pooling" | | 5 | "was *climbing" |
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| 27.42% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 99 | | ratio | 0.04 | | matches | | 0 | "Nothing about the corpse moved, but Quinn’s jaw tightened—a corpse in a place like this always felt like it was *watching*." | | 1 | "A flicker of something crossed Eva’s face—disappointment?" | | 2 | "Eva’s hands twitched toward her satchel, fingers brushing the edge of a sealed evidence bag—*hers*, Quinn noted." | | 3 | "Below, the air smelled of ozone and something wet—*like the water on the corpse’s floor*." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 739 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.028416779431664412 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.008119079837618403 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 99 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 99 | | mean | 10.94 | | std | 7.45 | | cv | 0.681 | | sampleLengths | | 0 | 17 | | 1 | 22 | | 2 | 23 | | 3 | 16 | | 4 | 21 | | 5 | 9 | | 6 | 15 | | 7 | 16 | | 8 | 24 | | 9 | 12 | | 10 | 9 | | 11 | 12 | | 12 | 11 | | 13 | 32 | | 14 | 2 | | 15 | 2 | | 16 | 3 | | 17 | 37 | | 18 | 1 | | 19 | 26 | | 20 | 7 | | 21 | 1 | | 22 | 10 | | 23 | 6 | | 24 | 12 | | 25 | 17 | | 26 | 12 | | 27 | 9 | | 28 | 9 | | 29 | 23 | | 30 | 7 | | 31 | 8 | | 32 | 19 | | 33 | 9 | | 34 | 6 | | 35 | 5 | | 36 | 9 | | 37 | 15 | | 38 | 8 | | 39 | 9 | | 40 | 12 | | 41 | 4 | | 42 | 26 | | 43 | 2 | | 44 | 9 | | 45 | 13 | | 46 | 15 | | 47 | 27 | | 48 | 9 | | 49 | 9 |
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| 60.27% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.37373737373737376 | | totalSentences | 99 | | uniqueOpeners | 37 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 75 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 75 | | matches | | 0 | "She adjusted her glasses, the" | | 1 | "She dropped a small brass" | | 2 | "Its needle spun wildly, etched" | | 3 | "Her voice was a mix" | | 4 | "She flipped the Compass over," | | 5 | "He stood at the edge" | | 6 | "His collar was damp with" | | 7 | "He pointed at the water" | | 8 | "It shimmered faintly, as if" | | 9 | "she said, not looking up" | | 10 | "She moved faster now, military" | | 11 | "She scanned the edges of" | | 12 | "She showed Raj the Compass’s" | | 13 | "She laid a dog-eared notebook" | | 14 | "It was mapping something." | | 15 | "She stood, scanning the room." | | 16 | "It was *climbing*, following the" | | 17 | "he muttered to Eva" | | 18 | "She watched as Quinn jogged" | | 19 | "She’d read the reports." |
| | ratio | 0.293 | |
| 33.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 75 | | matches | | 0 | "The air in the abandoned" | | 1 | "Harlow Quinn’s boots echoed on" | | 2 | "The victim was a young" | | 3 | "Nothing about the corpse moved," | | 4 | "Eva Kowalski stepped into the" | | 5 | "She adjusted her glasses, the" | | 6 | "She dropped a small brass" | | 7 | "Its needle spun wildly, etched" | | 8 | "Quinn snatched it up, thumb" | | 9 | "Eva tucked a curl behind" | | 10 | "Her voice was a mix" | | 11 | "Quinn’s eyes narrowed." | | 12 | "She flipped the Compass over," | | 13 | "A flicker of something crossed" | | 14 | "The voice belonged to DS" | | 15 | "He stood at the edge" | | 16 | "The concrete bore a scorch" | | 17 | "Raj said, joining Quinn" | | 18 | "His collar was damp with" | | 19 | "He pointed at the water" |
| | ratio | 0.853 | |
| 66.67% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 75 | | matches | | 0 | "Before she could reply, a" |
| | ratio | 0.013 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 1 | | matches | | 0 | "The Market’s architecture was a warren of impossible angles, tunnels that seemed to shift when you weren’t looking." |
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| 48.08% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 2 | | matches | | 0 | "she said, not looking up" | | 1 | "Eva pulled out, its edges singed" |
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| 83.33% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 2 | | fancyTags | | 0 | "Quinn interrupted (interrupt)" | | 1 | "he muttered (mutter)" |
| | dialogueSentences | 30 | | tagDensity | 0.233 | | leniency | 0.467 | | rawRatio | 0.286 | | effectiveRatio | 0.133 | |