| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 27 | | adverbTagCount | 1 | | adverbTags | | 0 | "Haines protested weakly [weakly]" |
| | dialogueSentences | 47 | | tagDensity | 0.574 | | leniency | 1 | | rawRatio | 0.037 | | effectiveRatio | 0.037 | |
| 92.18% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1279 | | 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) | |
| 45.27% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1279 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "perfect" | | 1 | "stomach" | | 2 | "vibrated" | | 3 | "etched" | | 4 | "intricate" | | 5 | "quivered" | | 6 | "long shadow" | | 7 | "footsteps" | | 8 | "echoed" | | 9 | "scanning" | | 10 | "magnetic" | | 11 | "raced" | | 12 | "spectral" | | 13 | "unwavering" |
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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 | 94 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 94 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 104 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 65 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1277 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 873 | | uniqueNames | 14 | | maxNameDensity | 1.26 | | worstName | "Harlow" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Harlow" | | discoveredNames | | Tube | 1 | | Harlow | 11 | | Quinn | 2 | | Sergeant | 1 | | Haines | 8 | | Morris | 2 | | Kowalski | 2 | | Eva | 8 | | British | 1 | | Museum | 1 | | Enochian | 1 | | Places | 1 | | Let | 1 | | Shade | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Sergeant" | | 3 | "Haines" | | 4 | "Morris" | | 5 | "Kowalski" | | 6 | "Eva" | | 7 | "Museum" | | 8 | "Let" |
| | places | | | globalScore | 0.87 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.783 | | wordCount | 1277 | | matches | | 0 | "not at the dead man, but at the far tunnel, the one leading deeper into the abandoned" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 104 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 34.51 | | std | 20.99 | | cv | 0.608 | | sampleLengths | | 0 | 84 | | 1 | 23 | | 2 | 28 | | 3 | 34 | | 4 | 44 | | 5 | 61 | | 6 | 73 | | 7 | 7 | | 8 | 15 | | 9 | 55 | | 10 | 2 | | 11 | 7 | | 12 | 52 | | 13 | 41 | | 14 | 14 | | 15 | 69 | | 16 | 10 | | 17 | 28 | | 18 | 38 | | 19 | 33 | | 20 | 37 | | 21 | 65 | | 22 | 7 | | 23 | 14 | | 24 | 32 | | 25 | 14 | | 26 | 44 | | 27 | 45 | | 28 | 34 | | 29 | 7 | | 30 | 46 | | 31 | 44 | | 32 | 47 | | 33 | 13 | | 34 | 60 | | 35 | 14 | | 36 | 36 |
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| 90.33% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 94 | | matches | | 0 | "was etched" | | 1 | "is meant" | | 2 | "been killed" | | 3 | "was lifted" |
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| 75.78% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 161 | | matches | | 0 | "was shooting" | | 1 | "was pointing" | | 2 | "was starting" |
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| 87.91% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 104 | | ratio | 0.019 | | matches | | 0 | "The chalk circle wasn’t just white; it held faint, iridescent specks, like crushed mother-of-pearl." | | 1 | "The composition of the chalk—mixed with salt and something metallic, probably silver dust—is meant to hold a spiritual entity in, or keep one out.” She pointed a trembling finger. “The sigils on the compass…" |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 737 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.028493894165535955 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.010854816824966078 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 104 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 104 | | mean | 12.28 | | std | 13.23 | | cv | 1.077 | | sampleLengths | | 0 | 13 | | 1 | 18 | | 2 | 35 | | 3 | 18 | | 4 | 12 | | 5 | 11 | | 6 | 19 | | 7 | 9 | | 8 | 10 | | 9 | 24 | | 10 | 7 | | 11 | 37 | | 12 | 8 | | 13 | 14 | | 14 | 25 | | 15 | 6 | | 16 | 8 | | 17 | 11 | | 18 | 3 | | 19 | 2 | | 20 | 4 | | 21 | 16 | | 22 | 3 | | 23 | 7 | | 24 | 8 | | 25 | 10 | | 26 | 9 | | 27 | 7 | | 28 | 3 | | 29 | 12 | | 30 | 51 | | 31 | 2 | | 32 | 2 | | 33 | 2 | | 34 | 7 | | 35 | 52 | | 36 | 2 | | 37 | 8 | | 38 | 1 | | 39 | 30 | | 40 | 14 | | 41 | 10 | | 42 | 3 | | 43 | 5 | | 44 | 4 | | 45 | 34 | | 46 | 3 | | 47 | 3 | | 48 | 7 | | 49 | 10 |
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| 60.90% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.4230769230769231 | | totalSentences | 104 | | uniqueOpeners | 44 | |
| 41.15% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 81 | | matches | | 0 | "Instead, it was etched with" |
| | ratio | 0.012 | |
| 81.73% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 81 | | matches | | 0 | "His eyes were open, wide" | | 1 | "Her voice cut through the" | | 2 | "She ignored him, her gaze" | | 3 | "She’d been the only one" | | 4 | "Her eyes snagged on an" | | 5 | "It caught the weak emergency" | | 6 | "She leaned closer." | | 7 | "It quivered, aimed steadily at" | | 8 | "she said, her voice flat" | | 9 | "She stood, her it’s pointing" | | 10 | "I’m Eva Kowalski, from the" | | 11 | "you called about the symbolic" | | 12 | "they’re not decorative." | | 13 | "They’re Enochian variants." | | 14 | "it doesn’t point to magnetic" | | 15 | "It points to…" | | 16 | "it’s not natural." | | 17 | "It’s a presentation." | | 18 | "It’s not a track mark." | | 19 | "It’s a single puncture." |
| | ratio | 0.346 | |
| 52.59% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 81 | | matches | | 0 | "The air in the abandoned" | | 1 | "Detective Harlow Quinn crouched, her" | | 2 | "The deceased, a man in" | | 3 | "His eyes were open, wide" | | 4 | "Her voice cut through the" | | 5 | "Sergeant Haines, a broad man" | | 6 | "Harlow pointed with a pen," | | 7 | "Haines sighed, a sound of" | | 8 | "She ignored him, her gaze" | | 9 | "The chalk circle wasn’t just" | | 10 | "A low hum vibrated in" | | 11 | "That detail wasn’t in any" | | 12 | "She’d been the only one" | | 13 | "Her eyes snagged on an" | | 14 | "A small, brass compass." | | 15 | "It caught the weak emergency" | | 16 | "She leaned closer." | | 17 | "The face wasn’t marked with" | | 18 | "The needle, a sliver of" | | 19 | "It quivered, aimed steadily at" |
| | ratio | 0.815 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 81 | | matches | (empty) | | ratio | 0 | |
| 95.24% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 15 | | technicalSentenceCount | 1 | | matches | | 0 | "The deceased, a man in a bespoke suit now stained with something darker than blood, lay in a perfect circle of white chalk, his limbs arranged with a ritualisti…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 5 | | matches | | 0 | "Harlow pointed, not touching" | | 1 | "she said, her voice flat" | | 2 | "Eva said, her voice dropping" | | 3 | "Eva countered, her green eyes wide behind the lenses" | | 4 | "Harlow said, the pieces slotting together with a cold click" |
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| 86.17% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 3 | | fancyTags | | 0 | "Haines muttered (mutter)" | | 1 | "Haines protested weakly (protest)" | | 2 | "Harlow corrected (correct)" |
| | dialogueSentences | 47 | | tagDensity | 0.213 | | leniency | 0.426 | | rawRatio | 0.3 | | effectiveRatio | 0.128 | |