| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 1 | | adverbTags | | 0 | "She stepped back [back]" |
| | dialogueSentences | 39 | | tagDensity | 0.487 | | leniency | 0.974 | | rawRatio | 0.053 | | effectiveRatio | 0.051 | |
| 91.92% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1237 | | 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) | |
| 63.62% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1237 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "glinting" | | 1 | "quivered" | | 2 | "etched" | | 3 | "furrowing" | | 4 | "tracing" | | 5 | "familiar" | | 6 | "gloom" | | 7 | "structure" | | 8 | "pulsed" |
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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 | 1 | | narrationSentences | 58 | | matches | | |
| 44.33% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 58 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 78 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1229 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 63.22% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 749 | | uniqueNames | 8 | | maxNameDensity | 1.74 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 13 | | Tube | 1 | | Kowalski | 1 | | Eva | 11 | | Veil | 2 | | Market | 2 | | London | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Kowalski" | | 3 | "Eva" | | 4 | "Market" |
| | places | | | globalScore | 0.632 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like dried blood had been dragged" |
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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 | 1229 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 78 | | matches | (empty) | |
| 51.77% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 23 | | mean | 53.43 | | std | 17.7 | | cv | 0.331 | | sampleLengths | | 0 | 92 | | 1 | 32 | | 2 | 68 | | 3 | 35 | | 4 | 65 | | 5 | 50 | | 6 | 85 | | 7 | 22 | | 8 | 70 | | 9 | 63 | | 10 | 44 | | 11 | 72 | | 12 | 56 | | 13 | 60 | | 14 | 43 | | 15 | 69 | | 16 | 21 | | 17 | 45 | | 18 | 42 | | 19 | 45 | | 20 | 49 | | 21 | 53 | | 22 | 48 |
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| 99.21% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 58 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 130 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 78 | | ratio | 0.064 | | matches | | 0 | "The abandoned Tube station reeked of mildew and something else—something sharp, like ozone after lightning." | | 1 | "They were crude, but unmistakably deliberate—runes that seemed to writhe in the flickering light." | | 2 | "At the tunnel’s end, the floor gave way to a sudden drop, but a rusted ladder descended into something that might have been a basement—or a portal." | | 3 | "She saw shapes moving just beyond the light—flickering shadows that didn’t belong to the tunnel’s structure." | | 4 | "The rift pulsed, and Quinn saw shapes within—figures in long coats, faces blurred but unmistakably human." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 757 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.02774108322324967 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.015852047556142668 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 78 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 78 | | mean | 15.76 | | std | 8.6 | | cv | 0.546 | | sampleLengths | | 0 | 31 | | 1 | 15 | | 2 | 26 | | 3 | 20 | | 4 | 14 | | 5 | 18 | | 6 | 8 | | 7 | 22 | | 8 | 16 | | 9 | 17 | | 10 | 5 | | 11 | 16 | | 12 | 10 | | 13 | 9 | | 14 | 12 | | 15 | 14 | | 16 | 25 | | 17 | 14 | | 18 | 13 | | 19 | 27 | | 20 | 10 | | 21 | 12 | | 22 | 43 | | 23 | 30 | | 24 | 5 | | 25 | 17 | | 26 | 10 | | 27 | 41 | | 28 | 19 | | 29 | 11 | | 30 | 14 | | 31 | 7 | | 32 | 27 | | 33 | 4 | | 34 | 8 | | 35 | 24 | | 36 | 12 | | 37 | 11 | | 38 | 31 | | 39 | 30 | | 40 | 12 | | 41 | 32 | | 42 | 12 | | 43 | 7 | | 44 | 11 | | 45 | 11 | | 46 | 14 | | 47 | 6 | | 48 | 11 | | 49 | 14 |
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| 68.38% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.44871794871794873 | | totalSentences | 78 | | uniqueOpeners | 35 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 57 | | matches | (empty) | | ratio | 0 | |
| 79.65% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 57 | | matches | | 0 | "She adjusted the collar of" | | 1 | "she murmured to the voice" | | 2 | "She clutched a leather satchel" | | 3 | "She stopped, taking in the" | | 4 | "Its needle quivered, trembling like" | | 5 | "She turned it over, her" | | 6 | "She glanced at the body" | | 7 | "She pulled a thick notebook" | | 8 | "She gestured to the wall" | | 9 | "They were crude, but unmistakably" | | 10 | "Her breath fogged in the" | | 11 | "She glanced at the compass," | | 12 | "She stepped back, her gaze" | | 13 | "She turned to Eva, her" | | 14 | "She paused, her freckles standing" | | 15 | "She kicked it gently, and" | | 16 | "She saw shapes moving just" | | 17 | "she said, her hand on" | | 18 | "she said, her voice tight" | | 19 | "Its needle settled, pointing back" |
| | ratio | 0.351 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 57 | | matches | | 0 | "Detective Harlow Quinn stepped through" | | 1 | "The abandoned Tube station reeked" | | 2 | "She adjusted the collar of" | | 3 | "The victim’s head rested against" | | 4 | "she murmured to the voice" | | 5 | "A rustle from the shadows" | | 6 | "Eva Kowalski emerged from the" | | 7 | "She clutched a leather satchel" | | 8 | "She stopped, taking in the" | | 9 | "Quinn said, nodding toward the" | | 10 | "Its needle quivered, trembling like" | | 11 | "Eva crouched beside her, her" | | 12 | "The etched sigils on its" | | 13 | "She turned it over, her" | | 14 | "Quinn stood, her military bearing" | | 15 | "She glanced at the body" | | 16 | "Eva said, her voice low" | | 17 | "She pulled a thick notebook" | | 18 | "Quinn frowned, her brow furrowing." | | 19 | "Eva said, tapping her notebook" |
| | ratio | 0.965 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 57 | | matches | (empty) | | ratio | 0 | |
| 96.77% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 2 | | matches | | 0 | "Detective Harlow Quinn stepped through the rusted fire door and into the bowels of the city, her worn leather watch glinting under the flickering bulb that dang…" | | 1 | "She saw shapes moving just beyond the light—flickering shadows that didn’t belong to the tunnel’s structure." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 9 | | matches | | 0 | "She turned, her gloved hand trembling slightly" | | 1 | "Eva said, her voice low and urgent" | | 2 | "She stepped back, her gaze sweeping the station" | | 3 | "She turned, her green eyes narrowing" | | 4 | "Eva said, her voice rising with excitement" | | 5 | "She paused, her freckles standing out in the dim light" | | 6 | "Eva whispered, her voice barely audible over the drip of water" | | 7 | "Eva grabbed, her glasses slipping down her nose" | | 8 | "she said, her voice tight with realization" |
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| 98.72% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 2 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "Eva whispered (whisper)" |
| | dialogueSentences | 39 | | tagDensity | 0.231 | | leniency | 0.462 | | rawRatio | 0.222 | | effectiveRatio | 0.103 | |