| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 34 | | tagDensity | 0.147 | | leniency | 0.294 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1013 | | 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) | |
| 60.51% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1013 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "flickered" | | 1 | "weight" | | 2 | "pulse" | | 3 | "echoed" | | 4 | "flicker" | | 5 | "silence" | | 6 | "rhythmic" |
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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 | 81 | | matches | (empty) | |
| 54.67% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 81 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 110 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1010 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 75.56% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 806 | | uniqueNames | 8 | | maxNameDensity | 1.49 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Tommy | 1 | | Herrera | 1 | | Quinn | 12 | | Tomás | 5 | | Raven | 1 | | Nest | 1 | | London | 1 | | Harlow | 1 |
| | persons | | 0 | "Tommy" | | 1 | "Herrera" | | 2 | "Quinn" | | 3 | "Tomás" | | 4 | "Raven" | | 5 | "Harlow" |
| | places | | | globalScore | 0.756 | | windowScore | 0.833 | |
| 60.71% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 2 | | matches | | 0 | "sounded like grinding stones" | | 1 | "sounded like a banshee screaming in pain" |
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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 | 1010 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 110 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 19.06 | | std | 16.73 | | cv | 0.878 | | sampleLengths | | 0 | 30 | | 1 | 2 | | 2 | 2 | | 3 | 27 | | 4 | 47 | | 5 | 24 | | 6 | 13 | | 7 | 5 | | 8 | 14 | | 9 | 36 | | 10 | 33 | | 11 | 15 | | 12 | 36 | | 13 | 13 | | 14 | 21 | | 15 | 22 | | 16 | 30 | | 17 | 2 | | 18 | 3 | | 19 | 6 | | 20 | 44 | | 21 | 11 | | 22 | 5 | | 23 | 51 | | 24 | 4 | | 25 | 4 | | 26 | 46 | | 27 | 2 | | 28 | 1 | | 29 | 49 | | 30 | 4 | | 31 | 47 | | 32 | 51 | | 33 | 12 | | 34 | 1 | | 35 | 22 | | 36 | 5 | | 37 | 49 | | 38 | 5 | | 39 | 23 | | 40 | 3 | | 41 | 5 | | 42 | 29 | | 43 | 3 | | 44 | 34 | | 45 | 13 | | 46 | 16 | | 47 | 19 | | 48 | 2 | | 49 | 2 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 81 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 136 | | matches | | |
| 90.91% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 110 | | ratio | 0.018 | | matches | | 0 | "Beyond it, the neon sign flickered—a sickly green serpent drinking from a chalice." | | 1 | "The weight on her wrist was a comfort—the worn leather watch ticking against her pulse." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 809 | | adjectiveStacks | 1 | | stackExamples | | 0 | "thick, pressing against her" |
| | adverbCount | 21 | | adverbRatio | 0.02595797280593325 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.004944375772558714 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 110 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 110 | | mean | 9.18 | | std | 5.68 | | cv | 0.619 | | sampleLengths | | 0 | 15 | | 1 | 15 | | 2 | 2 | | 3 | 2 | | 4 | 27 | | 5 | 14 | | 6 | 15 | | 7 | 18 | | 8 | 11 | | 9 | 13 | | 10 | 13 | | 11 | 5 | | 12 | 14 | | 13 | 8 | | 14 | 14 | | 15 | 14 | | 16 | 12 | | 17 | 13 | | 18 | 3 | | 19 | 5 | | 20 | 9 | | 21 | 6 | | 22 | 2 | | 23 | 10 | | 24 | 10 | | 25 | 14 | | 26 | 13 | | 27 | 21 | | 28 | 9 | | 29 | 7 | | 30 | 3 | | 31 | 3 | | 32 | 15 | | 33 | 15 | | 34 | 2 | | 35 | 3 | | 36 | 6 | | 37 | 15 | | 38 | 5 | | 39 | 5 | | 40 | 11 | | 41 | 8 | | 42 | 11 | | 43 | 5 | | 44 | 8 | | 45 | 12 | | 46 | 6 | | 47 | 6 | | 48 | 19 | | 49 | 4 |
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| 54.55% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.38181818181818183 | | totalSentences | 110 | | uniqueOpeners | 42 | |
| 84.39% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 79 | | matches | | 0 | "Just a few paces away." | | 1 | "Then, a sound." |
| | ratio | 0.025 | |
| 93.42% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 79 | | matches | | 0 | "He was sweating, a fine" | | 1 | "he wheezed, eyes wild, darting" | | 2 | "She stumbled back, stumbling, but" | | 3 | "She clipped his ankles, sending" | | 4 | "He was already scrambling up," | | 5 | "He pulled a ragged piece" | | 6 | "He looked back at Quinn," | | 7 | "He spun around, the bone" | | 8 | "Her fingers hit something cold" | | 9 | "She peered into the abyss." | | 10 | "It wasn't just a tunnel." | | 11 | "She didn't reach for the" | | 12 | "She didn't think about the" | | 13 | "She saw the flicker of" | | 14 | "She vaulted the concrete lip," | | 15 | "She stood up, brushing off" | | 16 | "She began to walk." | | 17 | "He held up a hand," | | 18 | "Her boots echoed too loudly" | | 19 | "She spun, weapon raised, but" |
| | ratio | 0.316 | |
| 23.29% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 79 | | matches | | 0 | "Quinn slammed Tommy Herrera against" | | 1 | "Tomás choked, his hands clawing" | | 2 | "He was sweating, a fine" | | 3 | "A red scar snaked along" | | 4 | "he wheezed, eyes wild, darting" | | 5 | "Tomás grunted, his forehead connecting" | | 6 | "She stumbled back, stumbling, but" | | 7 | "She clipped his ankles, sending" | | 8 | "He was already scrambling up," | | 9 | "The Raven's Nest." | | 10 | "Quinn aimed her service weapon" | | 11 | "He pulled a ragged piece" | | 12 | "The surface was worn smooth," | | 13 | "He looked back at Quinn," | | 14 | "He spun around, the bone" | | 15 | "Quinn lunged, plunging her hands" | | 16 | "Her fingers hit something cold" | | 17 | "Fingers hooked into leather, she" | | 18 | "The wind howled down the" | | 19 | "The weight on her wrist" |
| | ratio | 0.873 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 79 | | matches | (empty) | | ratio | 0 | |
| 89.29% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 3 | | matches | | 0 | "Tomás choked, his hands clawing at Quinn's wrists, his nails biting into her skin." | | 1 | "She clipped his ankles, sending him crashing into a pile of soggy cardboard boxes." | | 2 | "He spun around, the bone token slipping between his fingers, vanishing into the darkness of the service grate beneath the alley." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 1 | | matches | | 0 | "he wheezed, eyes wild, darting left and right" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 34 | | tagDensity | 0.059 | | leniency | 0.118 | | rawRatio | 0.5 | | effectiveRatio | 0.059 | |