| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 1 | | adverbTags | | 0 | "Eva said quietly [quietly]" |
| | dialogueSentences | 24 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0.111 | | effectiveRatio | 0.083 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 821 | | 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) | |
| 57.37% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 821 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "chill" | | 1 | "perfect" | | 2 | "etched" | | 3 | "scanned" | | 4 | "footsteps" | | 5 | "weight" |
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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 | 82 | | matches | (empty) | |
| 73.17% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 1 | | narrationSentences | 82 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 97 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 816 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 661 | | uniqueNames | 8 | | maxNameDensity | 1.82 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 12 | | Tube | 1 | | Kowalski | 1 | | Footsteps | 1 | | Market | 1 | | Morris | 1 | | Eva | 10 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Kowalski" | | 3 | "Footsteps" | | 4 | "Market" | | 5 | "Morris" | | 6 | "Eva" |
| | places | (empty) | | globalScore | 0.592 | | windowScore | 0.333 | |
| 41.30% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | glossingSentenceCount | 2 | | matches | | 0 | "patterns that seemed to shift when she blinked" | | 1 | "seemed thicker now, breathing" |
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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 | 816 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 97 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 26.32 | | std | 19.41 | | cv | 0.737 | | sampleLengths | | 0 | 57 | | 1 | 57 | | 2 | 2 | | 3 | 50 | | 4 | 4 | | 5 | 28 | | 6 | 59 | | 7 | 1 | | 8 | 8 | | 9 | 28 | | 10 | 1 | | 11 | 28 | | 12 | 48 | | 13 | 5 | | 14 | 48 | | 15 | 8 | | 16 | 5 | | 17 | 19 | | 18 | 25 | | 19 | 4 | | 20 | 35 | | 21 | 52 | | 22 | 14 | | 23 | 9 | | 24 | 37 | | 25 | 42 | | 26 | 38 | | 27 | 14 | | 28 | 46 | | 29 | 7 | | 30 | 37 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 82 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 124 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 97 | | ratio | 0.01 | | matches | | 0 | "The face bore etched markings she didn't recognize—geometric patterns that seemed to shift when she blinked." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 666 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.036036036036036036 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.013513513513513514 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 97 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 97 | | mean | 8.41 | | std | 6.44 | | cv | 0.766 | | sampleLengths | | 0 | 9 | | 1 | 20 | | 2 | 10 | | 3 | 4 | | 4 | 14 | | 5 | 5 | | 6 | 13 | | 7 | 9 | | 8 | 9 | | 9 | 16 | | 10 | 3 | | 11 | 2 | | 12 | 2 | | 13 | 2 | | 14 | 20 | | 15 | 11 | | 16 | 17 | | 17 | 4 | | 18 | 11 | | 19 | 9 | | 20 | 8 | | 21 | 6 | | 22 | 9 | | 23 | 17 | | 24 | 4 | | 25 | 13 | | 26 | 8 | | 27 | 2 | | 28 | 1 | | 29 | 4 | | 30 | 4 | | 31 | 2 | | 32 | 5 | | 33 | 4 | | 34 | 3 | | 35 | 14 | | 36 | 1 | | 37 | 4 | | 38 | 9 | | 39 | 15 | | 40 | 2 | | 41 | 6 | | 42 | 4 | | 43 | 17 | | 44 | 6 | | 45 | 13 | | 46 | 5 | | 47 | 3 | | 48 | 14 | | 49 | 16 |
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| 61.17% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.3917525773195876 | | totalSentences | 97 | | uniqueOpeners | 38 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 70 | | matches | (empty) | | ratio | 0 | |
| 71.43% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 70 | | matches | | 0 | "Her leather watch strap creaked" | | 1 | "She spotted the body immediately." | | 2 | "His throat bore bruises in" | | 3 | "His legs dangled toward the" | | 4 | "He hadn't kicked." | | 5 | "She carried that worn leather" | | 6 | "Her round glasses slid down" | | 7 | "Her gaze dropped to the" | | 8 | "His pockets were turned inside" | | 9 | "She crouched, her military bearing" | | 10 | "She stepped closer, her trainers" | | 11 | "Her leather watch caught the" | | 12 | "She scanned the platform." | | 13 | "She walked to the tunnel" | | 14 | "She crouched again." | | 15 | "It pointed toward the tunnel" | | 16 | "She knelt beside Quinn, her" | | 17 | "Her hands shook." | | 18 | "She walked back to the" | | 19 | "She imagined invisible fingers closing" |
| | ratio | 0.371 | |
| 10.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 70 | | matches | | 0 | "Detective Harlow Quinn ducked under" | | 1 | "The abandoned Tube station breathed" | | 2 | "Her leather watch strap creaked" | | 3 | "The platform stretched into darkness," | | 4 | "She spotted the body immediately." | | 5 | "His throat bore bruises in" | | 6 | "His legs dangled toward the" | | 7 | "He hadn't kicked." | | 8 | "Eva Kowalski emerged from the" | | 9 | "She carried that worn leather" | | 10 | "Her round glasses slid down" | | 11 | "Eva tucked a curl behind" | | 12 | "Her gaze dropped to the" | | 13 | "Quinn stepped closer to the" | | 14 | "The man's eyes stared at" | | 15 | "His pockets were turned inside" | | 16 | "Robbery wasn't the motive." | | 17 | "She crouched, her military bearing" | | 18 | "The bruises on his throat" | | 19 | "Eva hugged her satchel." |
| | ratio | 0.9 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 70 | | matches | (empty) | | ratio | 0 | |
| 77.92% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 2 | | matches | | 0 | "She imagined invisible fingers closing around his neck while he clutched at his palms, burning his own flesh with protective sigils that failed." | | 1 | "The abandoned station swallowed the lamplight as they left, and somewhere in the dark, the compass needle spun again, pointing toward secrets that refused to st…" |
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| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 1 | | matches | | 0 | "She knelt, her knee nearly touching the track" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | 0 | "Eva continued (continue)" |
| | dialogueSentences | 24 | | tagDensity | 0.125 | | leniency | 0.25 | | rawRatio | 0.333 | | effectiveRatio | 0.083 | |