| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 891 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 891 | | totalAiIsms | 18 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | word | "carried the weight" | | count | 1 |
| | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | |
| | highlights | | 0 | "flickered" | | 1 | "jaw clenched" | | 2 | "footsteps" | | 3 | "echoed" | | 4 | "whisper" | | 5 | "carried the weight" | | 6 | "etched" | | 7 | "silence" | | 8 | "chill" | | 9 | "shattered" | | 10 | "pulsed" | | 11 | "raced" | | 12 | "resolve" | | 13 | "measured" | | 14 | "velvet" | | 15 | "pulse" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 55 | | matches | (empty) | |
| 38.96% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 1 | | narrationSentences | 55 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 55 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 886 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 93.57% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 886 | | uniqueNames | 9 | | maxNameDensity | 1.13 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 10 | | Soho | 1 | | Raven | 1 | | Nest | 1 | | Morris | 2 | | Glock | 2 | | Veil | 1 | | Market | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Nest" | | 3 | "Morris" | | 4 | "Market" |
| | places | | | globalScore | 0.936 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like it could vanish or swallow he" |
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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 | 886 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 55 | | matches | | |
| 8.43% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 9 | | mean | 98.44 | | std | 17.67 | | cv | 0.179 | | sampleLengths | | 0 | 131 | | 1 | 98 | | 2 | 104 | | 3 | 100 | | 4 | 89 | | 5 | 117 | | 6 | 92 | | 7 | 64 | | 8 | 91 |
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| 98.88% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 55 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 151 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 3 | | flaggedSentences | 6 | | totalSentences | 55 | | ratio | 0.109 | | matches | | 0 | "She heard his footsteps ahead—wet slaps that echoed—and she moved, gun drawn low, left hand steady on the wall for balance." | | 1 | "Three years ago she’d lost Morris the same way, chasing a whisper through another forgotten underpass; she still carried the weight of his unexplained absence like a second heartbeat." | | 2 | "Tile walls once advertised long-defunct products; now they bore tags in languages she didn’t recognize and chalk symbols that looked half-burnt." | | 3 | "The air pressure changed; voices rose in a low murmur laced with languages and the clink of coin." | | 4 | "Lanterns swayed from makeshift hooks—antique train signals repurposed into orbs of blue flame." | | 5 | "She’d heard rumors—underground markets that sold off books of power, that traded in favors rather than cash—but evidence had been thin until tonight." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 900 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.03333333333333333 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0033333333333333335 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 55 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 55 | | mean | 16.11 | | std | 7.06 | | cv | 0.438 | | sampleLengths | | 0 | 32 | | 1 | 29 | | 2 | 31 | | 3 | 6 | | 4 | 19 | | 5 | 14 | | 6 | 14 | | 7 | 12 | | 8 | 14 | | 9 | 22 | | 10 | 6 | | 11 | 23 | | 12 | 7 | | 13 | 18 | | 14 | 21 | | 15 | 14 | | 16 | 13 | | 17 | 9 | | 18 | 29 | | 19 | 21 | | 20 | 4 | | 21 | 22 | | 22 | 21 | | 23 | 13 | | 24 | 19 | | 25 | 5 | | 26 | 11 | | 27 | 8 | | 28 | 23 | | 29 | 18 | | 30 | 13 | | 31 | 11 | | 32 | 12 | | 33 | 28 | | 34 | 14 | | 35 | 16 | | 36 | 6 | | 37 | 21 | | 38 | 20 | | 39 | 5 | | 40 | 21 | | 41 | 23 | | 42 | 17 | | 43 | 14 | | 44 | 12 | | 45 | 17 | | 46 | 10 | | 47 | 13 | | 48 | 6 | | 49 | 18 |
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| 61.82% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.38181818181818183 | | totalSentences | 55 | | uniqueOpeners | 21 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 55 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 55 | | matches | | 0 | "Her sharp jaw clenched as" | | 1 | "She tasted iron in the" | | 2 | "She lowered herself into the" | | 3 | "She heard his footsteps ahead—wet" | | 4 | "She counted seconds between steps," | | 5 | "She stepped over it without" | | 6 | "Her military bearing kept her" | | 7 | "She reached the final landing" | | 8 | "She could still pick out" | | 9 | "Her mind raced with protocol." | | 10 | "She’d heard rumors—underground markets that" | | 11 | "She could turn back, radio" | | 12 | "Their eyes met across thirty" | | 13 | "He sprinted toward the downward" | | 14 | "She crossed the concourse at" | | 15 | "She caught the suspect’s trail" |
| | ratio | 0.291 | |
| 14.55% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 49 | | totalSentences | 55 | | matches | | 0 | "Detective Harlow Quinn pressed her" | | 1 | "The man had bolted the" | | 2 | "Neon letters from the Raven’s" | | 3 | "Quinn’s boots slapped the wet" | | 4 | "Her sharp jaw clenched as" | | 5 | "The suspect vaulted a low" | | 6 | "Quinn followed, the salt-and-pepper crop" | | 7 | "She tasted iron in the" | | 8 | "The man glanced back once," | | 9 | "Quinn didn’t pause at the" | | 10 | "She lowered herself into the" | | 11 | "The grate above clanged shut" | | 12 | "She heard his footsteps ahead—wet" | | 13 | "The air thickened with damp" | | 14 | "Quinn’s watch face gleamed each" | | 15 | "She counted seconds between steps," | | 16 | "The tunnel bent left, then" | | 17 | "The suspect vaulted it." | | 18 | "Quinn holstered the Glock long" | | 19 | "A bone token, rib-white and" |
| | ratio | 0.891 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 55 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 9 | | matches | | 0 | "The man had bolted the moment she showed her badge outside the boarded-up warehouse in Soho, and now he ran like someone who knew exactly what he was protecting…" | | 1 | "She lowered herself into the narrow shaft, fingers scraping moss-slick brick, and landed in ankle-deep water that smelled of old piss and diesel." | | 2 | "She heard his footsteps ahead—wet slaps that echoed—and she moved, gun drawn low, left hand steady on the wall for balance." | | 3 | "Tile walls once advertised long-defunct products; now they bore tags in languages she didn’t recognize and chalk symbols that looked half-burnt." | | 4 | "Her military bearing kept her upright despite the ache in her knees and the chill that had crept from leather watchband to bone." | | 5 | "Stalls carved from shipping crates and subway benches displayed jars of viscous liquid, bundles of dried herbs that twitched, blades etched with runes that caug…" | | 6 | "Vendors in long coats negotiated with customers who wore masks of bone and wire." | | 7 | "The suspect reappeared briefly, tossing a coin to a vendor who handed him a small leather pouch." | | 8 | "She crossed the concourse at a measured run, coat shedding rain, past a stall of teeth arranged in velvet trays and another selling maps that whispered routes." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |