| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.231 | | leniency | 0.462 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 85.04% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1003 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "carefully" | | 1 | "sharply" | | 2 | "really" |
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| 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) | |
| 40.18% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1003 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "chill" | | 1 | "flicker" | | 2 | "cascading" | | 3 | "pounding" | | 4 | "pulse" | | 5 | "echoed" | | 6 | "flicked" | | 7 | "velvet" | | 8 | "electric" | | 9 | "reverberated" |
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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 | 60 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 60 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 70 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 990 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 81.03% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 870 | | uniqueNames | 10 | | maxNameDensity | 1.38 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 12 | | Raven | 1 | | Nest | 1 | | London | 1 | | Veil | 1 | | Market | 2 | | Camden | 1 | | Tomás | 2 | | Herrera | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Market" | | 4 | "Tomás" | | 5 | "Herrera" |
| | places | | | globalScore | 0.81 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 990 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 70 | | matches | (empty) | |
| 93.37% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 27 | | mean | 36.67 | | std | 17.48 | | cv | 0.477 | | sampleLengths | | 0 | 58 | | 1 | 52 | | 2 | 75 | | 3 | 51 | | 4 | 62 | | 5 | 52 | | 6 | 43 | | 7 | 52 | | 8 | 43 | | 9 | 61 | | 10 | 42 | | 11 | 15 | | 12 | 28 | | 13 | 37 | | 14 | 11 | | 15 | 31 | | 16 | 43 | | 17 | 18 | | 18 | 7 | | 19 | 27 | | 20 | 31 | | 21 | 10 | | 22 | 43 | | 23 | 28 | | 24 | 30 | | 25 | 17 | | 26 | 23 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 60 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 149 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 1 | | flaggedSentences | 9 | | totalSentences | 70 | | ratio | 0.129 | | matches | | 0 | "She narrowed her eyes against the downpour, catching the flicker of movement up ahead—a blur in a soaked trench coat darting past trash bins and splintered doorways." | | 1 | "Quinn’s worn leather watch caught the green glare of a neon sign momentarily—The Raven’s Nest." | | 2 | "The man lunged for a door—metal and rusted—but it wouldn’t budge." | | 3 | "At the base of the stairwell, the suspect reached out and pulled a small jagged token from inside his coat—a bone fragment, perhaps—and pressed it against an ancient metal plate inset in the wall." | | 4 | "This place, she knew, belonged to another world beneath the city—a dark, shifting realm where laws bent and menace thrived." | | 5 | "Her mind flicked to the stories about the Market—its vendors trading charms that whispered evil, potions steeped in sin, and secrets buried deeper than the pavement above." | | 6 | "The faint murmur grew louder—a low hum of frantic bargains, laughter that scraped the soul, the clink of coins with unnatural gleam." | | 7 | "Streaks of electric blue and molten gold sparkled from alchemical contraptions; bones twisted into necklaces, serpents frozen mid-strike in glass jars." | | 8 | "The space beyond smelled of damp earth and burning resin, lit by a handful of weak lanterns revealing outlines of a subterranean cavern—one she knew only too well." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 882 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.024943310657596373 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.01020408163265306 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 70 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 70 | | mean | 14.14 | | std | 7.63 | | cv | 0.539 | | sampleLengths | | 0 | 16 | | 1 | 15 | | 2 | 27 | | 3 | 19 | | 4 | 14 | | 5 | 15 | | 6 | 4 | | 7 | 13 | | 8 | 4 | | 9 | 6 | | 10 | 22 | | 11 | 11 | | 12 | 19 | | 13 | 4 | | 14 | 23 | | 15 | 8 | | 16 | 16 | | 17 | 34 | | 18 | 28 | | 19 | 19 | | 20 | 10 | | 21 | 20 | | 22 | 3 | | 23 | 17 | | 24 | 11 | | 25 | 15 | | 26 | 27 | | 27 | 25 | | 28 | 22 | | 29 | 7 | | 30 | 14 | | 31 | 17 | | 32 | 23 | | 33 | 21 | | 34 | 21 | | 35 | 11 | | 36 | 10 | | 37 | 7 | | 38 | 8 | | 39 | 3 | | 40 | 25 | | 41 | 19 | | 42 | 18 | | 43 | 7 | | 44 | 4 | | 45 | 9 | | 46 | 22 | | 47 | 5 | | 48 | 13 | | 49 | 17 |
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| 62.38% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4 | | totalSentences | 70 | | uniqueOpeners | 28 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 60 | | matches | (empty) | | ratio | 0 | |
| 93.33% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 60 | | matches | | 0 | "She narrowed her eyes against" | | 1 | "she barked, muscles tensing as" | | 2 | "He wasn’t fast, but the" | | 3 | "Her pace didn’t waver." | | 4 | "She could smell the mud" | | 5 | "He spun and darted toward" | | 6 | "Her fingers brushed the damp" | | 7 | "She hesitated only for a" | | 8 | "Her gloved fingers brushed against" | | 9 | "Her mind flicked to the" | | 10 | "She twisted and met the" | | 11 | "he said, voice low but" | | 12 | "She swallowed the lump tightening" | | 13 | "He glanced once down the" | | 14 | "She passed booths where candles" | | 15 | "She tensed, waiting for the" | | 16 | "Her boots reverberated against ancient" | | 17 | "he said, breath ragged" | | 18 | "She cocked her head, the" |
| | ratio | 0.317 | |
| 1.67% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 60 | | matches | | 0 | "The rain had hammered the" | | 1 | "Detective Harlow Quinn’s boots slapped" | | 2 | "She narrowed her eyes against" | | 3 | "she barked, muscles tensing as" | | 4 | "He wasn’t fast, but the" | | 5 | "Quinn’s worn leather watch caught" | | 6 | "Her pace didn’t waver." | | 7 | "The suspect glanced back over" | | 8 | "That was his mistake." | | 9 | "Quinn closed the gap, feet" | | 10 | "She could smell the mud" | | 11 | "The man lunged for a" | | 12 | "He spun and darted toward" | | 13 | "Quinn followed without hesitation." | | 14 | "Her fingers brushed the damp" | | 15 | "Rain drummed on the pavement," | | 16 | "The cracked concrete walls narrowed" | | 17 | "The stone echoed against the" | | 18 | "She hesitated only for a" | | 19 | "The suspect slipped inside the" |
| | ratio | 0.917 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 60 | | matches | (empty) | | ratio | 0 | |
| 91.84% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 3 | | matches | | 0 | "The kind of place that had swallowed her partner three years ago, swallowed him whole with nothing left to show but shadows in her nightmares." | | 1 | "The faint murmur grew louder—a low hum of frantic bargains, laughter that scraped the soul, the clink of coins with unnatural gleam." | | 2 | "The door whispered shut behind her, the world narrowing to the dim amber glow and the thief’s eyes locking hers." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 1 | | matches | | 0 | "he said, voice low but steady" |
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| 73.08% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 13 | | tagDensity | 0.231 | | leniency | 0.462 | | rawRatio | 0.333 | | effectiveRatio | 0.154 | |