| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 48 | | adverbTagCount | 2 | | adverbTags | | 0 | "Quinn turned back [back]" | | 1 | "Quinn read aloud [aloud]" |
| | dialogueSentences | 123 | | tagDensity | 0.39 | | leniency | 0.78 | | rawRatio | 0.042 | | effectiveRatio | 0.033 | |
| 94.68% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1879 | | totalAiIsmAdverbs | 2 | | 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) | |
| 44.12% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1879 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "gleaming" | | 1 | "gloom" | | 2 | "scanned" | | 3 | "silence" | | 4 | "measured" | | 5 | "pristine" | | 6 | "marble" | | 7 | "vibrated" | | 8 | "etched" | | 9 | "pulsed" | | 10 | "standard" | | 11 | "etching" | | 12 | "electric" | | 13 | "echoed" | | 14 | "velvet" | | 15 | "flickered" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 243 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 243 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 318 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 19 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1879 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 42 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 85 | | wordCount | 1368 | | uniqueNames | 4 | | maxNameDensity | 4.68 | | worstName | "Quinn" | | maxWindowNameDensity | 8 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | Quinn | 64 | | Halloway | 19 | | Shade | 1 |
| | persons | | 0 | "Camden" | | 1 | "Quinn" | | 2 | "Halloway" |
| | places | (empty) | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 105 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.532 | | wordCount | 1879 | | matches | | 0 | "not north, but directly at the tunnel mouth" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 318 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 163 | | mean | 11.53 | | std | 10.9 | | cv | 0.946 | | sampleLengths | | 0 | 77 | | 1 | 22 | | 2 | 26 | | 3 | 6 | | 4 | 29 | | 5 | 41 | | 6 | 3 | | 7 | 11 | | 8 | 26 | | 9 | 3 | | 10 | 2 | | 11 | 27 | | 12 | 10 | | 13 | 41 | | 14 | 20 | | 15 | 12 | | 16 | 30 | | 17 | 24 | | 18 | 7 | | 19 | 29 | | 20 | 13 | | 21 | 41 | | 22 | 5 | | 23 | 16 | | 24 | 7 | | 25 | 34 | | 26 | 7 | | 27 | 25 | | 28 | 4 | | 29 | 2 | | 30 | 44 | | 31 | 7 | | 32 | 4 | | 33 | 27 | | 34 | 37 | | 35 | 4 | | 36 | 4 | | 37 | 7 | | 38 | 16 | | 39 | 35 | | 40 | 4 | | 41 | 1 | | 42 | 1 | | 43 | 16 | | 44 | 19 | | 45 | 11 | | 46 | 8 | | 47 | 31 | | 48 | 37 | | 49 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 243 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 272 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 318 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1368 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.024853801169590642 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.006578947368421052 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 318 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 318 | | mean | 5.91 | | std | 3.3 | | cv | 0.559 | | sampleLengths | | 0 | 11 | | 1 | 19 | | 2 | 19 | | 3 | 13 | | 4 | 15 | | 5 | 9 | | 6 | 13 | | 7 | 5 | | 8 | 4 | | 9 | 8 | | 10 | 9 | | 11 | 6 | | 12 | 8 | | 13 | 13 | | 14 | 8 | | 15 | 9 | | 16 | 5 | | 17 | 19 | | 18 | 4 | | 19 | 2 | | 20 | 2 | | 21 | 3 | | 22 | 11 | | 23 | 3 | | 24 | 7 | | 25 | 11 | | 26 | 2 | | 27 | 3 | | 28 | 3 | | 29 | 2 | | 30 | 2 | | 31 | 10 | | 32 | 15 | | 33 | 6 | | 34 | 4 | | 35 | 8 | | 36 | 5 | | 37 | 9 | | 38 | 10 | | 39 | 9 | | 40 | 9 | | 41 | 5 | | 42 | 6 | | 43 | 4 | | 44 | 8 | | 45 | 6 | | 46 | 7 | | 47 | 6 | | 48 | 11 | | 49 | 13 |
| |
| 39.94% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 32 | | diversityRatio | 0.29559748427672955 | | totalSentences | 318 | | uniqueOpeners | 94 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 189 | | matches | (empty) | | ratio | 0 | |
| 97.25% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 58 | | totalSentences | 189 | | matches | | 0 | "She adjusted the collar of" | | 1 | "Her left wrist caught the" | | 2 | "He stood with his hands" | | 3 | "She scanned the perimeter." | | 4 | "He gestured toward the center" | | 5 | "She crouched beside the body." | | 6 | "She reached out, her gloved" | | 7 | "She turned her attention to" | | 8 | "She walked toward the tracks." | | 9 | "She ignored the sensation and" | | 10 | "She ran a hand over" | | 11 | "She pulled a penlight from" | | 12 | "She knelt again, inspecting the" | | 13 | "She moved to his hands." | | 14 | "She pried the fingers open." | | 15 | "She flipped the device over." | | 16 | "She knew the symbol from" | | 17 | "She looked down into the" | | 18 | "She checked her watch." | | 19 | "She pointed to the bone" |
| | ratio | 0.307 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 182 | | totalSentences | 189 | | matches | | 0 | "The air beneath Camden tasted" | | 1 | "Harlow Quinn stepped over the" | | 2 | "She adjusted the collar of" | | 3 | "Her left wrist caught the" | | 4 | "Sergeant Halloway waited near the" | | 5 | "He stood with his hands" | | 6 | "Quinn stopped ten feet away." | | 7 | "She scanned the perimeter." | | 8 | "The air remained still, trapped" | | 9 | "He gestured toward the center" | | 10 | "Quinn moved past him, her" | | 11 | "She crouched beside the body." | | 12 | "A man in his forties," | | 13 | "The fabric remained pristine." | | 14 | "Quinn leaned closer." | | 15 | "The skin looked waxy, pale" | | 16 | "She reached out, her gloved" | | 17 | "She turned her attention to" | | 18 | "A fine layer of grey" | | 19 | "She walked toward the tracks." |
| | ratio | 0.963 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 189 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 1 | | matches | | 0 | "Fluorescent tubes buzzed overhead, flickering in a rhythm that made the shadows stretch and contract along the curved walls." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 48 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 42 | | fancyCount | 1 | | fancyTags | | 0 | "Halloway suggested (suggest)" |
| | dialogueSentences | 123 | | tagDensity | 0.341 | | leniency | 0.683 | | rawRatio | 0.024 | | effectiveRatio | 0.016 | |