| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 29 | | tagDensity | 0.414 | | leniency | 0.828 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1049 | | 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) | |
| 9.44% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1049 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "etched" | | 2 | "weight" | | 3 | "standard" | | 4 | "synthetic" | | 5 | "shimmered" | | 6 | "silence" | | 7 | "pulsed" | | 8 | "gloom" | | 9 | "maw" | | 10 | "pulse" | | 11 | "echoed" | | 12 | "intensity" | | 13 | "familiar" | | 14 | "could feel" |
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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 | 1 | | narrationSentences | 76 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 76 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 92 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1046 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 47.17% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 778 | | uniqueNames | 7 | | maxNameDensity | 2.06 | | worstName | "Harlow" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Harlow" | | discoveredNames | | Quinn | 1 | | Veil | 2 | | Compass | 2 | | Camden | 1 | | Underground | 1 | | Miller | 9 | | Harlow | 16 |
| | persons | | 0 | "Quinn" | | 1 | "Miller" | | 2 | "Harlow" |
| | places | (empty) | | globalScore | 0.472 | | windowScore | 0.833 | |
| 62.28% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 2 | | matches | | 0 | "shadows that seemed to pulse in time with the compass" | | 1 | "sounded like a choir of thousands, all sin" | | 2 | "felt like jagged glass in her ears" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.956 | | wordCount | 1046 | | matches | | 0 | "Not in terror, but in a strange, hollow sort of wonder" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 92 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 29.06 | | std | 14.66 | | cv | 0.505 | | sampleLengths | | 0 | 48 | | 1 | 25 | | 2 | 3 | | 3 | 34 | | 4 | 19 | | 5 | 27 | | 6 | 39 | | 7 | 22 | | 8 | 35 | | 9 | 4 | | 10 | 38 | | 11 | 29 | | 12 | 28 | | 13 | 53 | | 14 | 10 | | 15 | 47 | | 16 | 31 | | 17 | 38 | | 18 | 6 | | 19 | 42 | | 20 | 18 | | 21 | 48 | | 22 | 22 | | 23 | 48 | | 24 | 38 | | 25 | 54 | | 26 | 15 | | 27 | 33 | | 28 | 42 | | 29 | 24 | | 30 | 7 | | 31 | 28 | | 32 | 17 | | 33 | 8 | | 34 | 49 | | 35 | 17 |
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| 91.41% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 76 | | matches | | 0 | "was fused" | | 1 | "were lined" | | 2 | "were clenched" |
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| 46.15% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 130 | | matches | | 0 | "was vibrating" | | 1 | "weren't breathing" | | 2 | "were watching" |
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| 80.75% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 92 | | ratio | 0.022 | | matches | | 0 | "A sudden, sharp draft whipped her hair, smelling of lavender and old, rotting parchment—an impossible scent for a sewer-damp station." | | 1 | "A heavy, wet sound filled the air—the sloughing of something massive and formless shifting through the gloom." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 785 | | adjectiveStacks | 2 | | stackExamples | | 0 | "tiny, precise, jagged markings." | | 1 | "blinding, white-hot intensity" |
| | adverbCount | 11 | | adverbRatio | 0.014012738853503185 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.005095541401273885 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 92 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 92 | | mean | 11.37 | | std | 6.35 | | cv | 0.559 | | sampleLengths | | 0 | 15 | | 1 | 19 | | 2 | 3 | | 3 | 11 | | 4 | 16 | | 5 | 9 | | 6 | 3 | | 7 | 18 | | 8 | 16 | | 9 | 8 | | 10 | 7 | | 11 | 4 | | 12 | 27 | | 13 | 5 | | 14 | 14 | | 15 | 9 | | 16 | 11 | | 17 | 18 | | 18 | 4 | | 19 | 6 | | 20 | 11 | | 21 | 18 | | 22 | 4 | | 23 | 10 | | 24 | 5 | | 25 | 6 | | 26 | 17 | | 27 | 5 | | 28 | 16 | | 29 | 8 | | 30 | 5 | | 31 | 9 | | 32 | 14 | | 33 | 7 | | 34 | 19 | | 35 | 5 | | 36 | 14 | | 37 | 3 | | 38 | 5 | | 39 | 6 | | 40 | 4 | | 41 | 9 | | 42 | 38 | | 43 | 18 | | 44 | 13 | | 45 | 6 | | 46 | 20 | | 47 | 12 | | 48 | 6 | | 49 | 12 |
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| 45.29% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.33695652173913043 | | totalSentences | 92 | | uniqueOpeners | 31 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 68 | | matches | (empty) | | ratio | 0 | |
| 78.82% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 68 | | matches | | 0 | "It was vibrating." | | 1 | "He didn't look up from" | | 2 | "She stepped over a discarded," | | 3 | "His eyes were wide, fixed" | | 4 | "He stepped closer, the heels" | | 5 | "It wasn't a knife wound." | | 6 | "It wasn't a blunt force" | | 7 | "He reached out to touch" | | 8 | "She stood up, her joints" | | 9 | "She turned her attention to" | | 10 | "They weren't graffiti." | | 11 | "They were patterns, repeating, hungry." | | 12 | "She walked toward the wall," | | 13 | "It flowed in concentric circles" | | 14 | "They were clenched tight, the" | | 15 | "She pried the fingers back," | | 16 | "It was warm." | | 17 | "It pulsed with a dull," | | 18 | "He drew his service weapon," | | 19 | "It sounded like a choir" |
| | ratio | 0.353 | |
| 4.12% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 68 | | matches | | 0 | "The brass needle spun, a" | | 1 | "Harlow Quinn shoved the Veil" | | 2 | "It was vibrating." | | 3 | "A low, subterranean thrum that" | | 4 | "The air tasted of ozone" | | 5 | "Detective Miller stood over the" | | 6 | "He didn't look up from" | | 7 | "She stepped over a discarded," | | 8 | "Harlow knelt by the body." | | 9 | "The man was young, pale," | | 10 | "His eyes were wide, fixed" | | 11 | "Harlow leaned in, the raw," | | 12 | "Miller sighed, a sharp, impatient" | | 13 | "He stepped closer, the heels" | | 14 | "Harlow pointed to a hairline" | | 15 | "It wasn't a knife wound." | | 16 | "It wasn't a blunt force" | | 17 | "The skin was fused, sealed" | | 18 | "Miller crouched, his face tightening." | | 19 | "He reached out to touch" |
| | ratio | 0.912 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 68 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 9 | | matches | | 0 | "A low, subterranean thrum that rattled the marrow of her teeth." | | 1 | "The man was young, pale, wearing a heavy, synthetic parka that looked brand new." | | 2 | "The skin was fused, sealed with an unnatural, glass-like sheen that shimmered with an oily, iridescent hue." | | 3 | "He drew his service weapon, his eyes darting toward the shadows that seemed to pulse in time with the compass." | | 4 | "The shadows on the wall began to elongate, detaching from the bricks, stretching into spindly, elongated fingers that reached toward the light." | | 5 | "She could feel the presence now, a vast, cold pressure that pushed against her mind like a rising tide." | | 6 | "The bone token in Harlow's pocket turned ice-cold, a sharp, freezing ache that spread up her hip." | | 7 | "The ground beneath them shuddered, a deep vibration that threatened to buckle the floorboards." | | 8 | "The darkness shifted, coalescing into a single, towering mass of shifting, impossible geometry that blocked the only exit." |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 2 | | matches | | 0 | "Miller whispered, his voice losing its professional edge" | | 1 | "Harlow ordered, her voice steady despite the adrenaline spiking in her blood" |
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| 12.07% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 4 | | fancyTags | | 0 | "Harlow muttered (mutter)" | | 1 | "Harlow snapped (snap)" | | 2 | "Miller whispered (whisper)" | | 3 | "Harlow ordered (order)" |
| | dialogueSentences | 29 | | tagDensity | 0.31 | | leniency | 0.621 | | rawRatio | 0.444 | | effectiveRatio | 0.276 | |