| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "Quinn could just [just]" |
| | dialogueSentences | 24 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.083 | | effectiveRatio | 0.083 | |
| 74.15% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 967 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "tightly" | | 1 | "gently" | | 2 | "slightly" | | 3 | "slowly" | | 4 | "really" |
| |
| 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) | |
| 84.49% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 967 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "navigated" | | 1 | "echoing" | | 2 | "silence" |
| |
| 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 | 45 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 45 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 91.35% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 57 | | gibberishSentences | 1 | | adjustedGibberishSentences | 1 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0.018 | | matches | | 0 | "\"하고 The witness called it in, didn't they? Overt encroachment on the commonwealth.\"" |
| |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 31 | | totalWords | 966 | | ratio | 0.032 | | matches | | 0 | "The bloody thing would jitter all night and die two minutes from the scene," | | 1 | "Look at you, old lady. Still playing dress up instead of finding a scapegoat." | | 2 | "They're getting careless," |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 1.49% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 606 | | uniqueNames | 9 | | maxNameDensity | 2.97 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 18 | | Covent | 1 | | Garden | 1 | | Davis | 11 | | Damn | 1 | | Line | 1 | | God | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Davis" | | 3 | "Line" |
| | places | | 0 | "Detective" | | 1 | "Covent" | | 2 | "Garden" |
| | globalScore | 0.015 | | windowScore | 0.333 | |
| 25.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 40 | | glossingSentenceCount | 2 | | matches | | 0 | "as if counting" | | 1 | "looked like she was going to argue, but i" |
| |
| 96.48% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.035 | | wordCount | 966 | | matches | | 0 | "not revisiting her old saved numbers, but adding one" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 57 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 21 | | mean | 46 | | std | 24.8 | | cv | 0.539 | | sampleLengths | | 0 | 128 | | 1 | 38 | | 2 | 40 | | 3 | 30 | | 4 | 55 | | 5 | 3 | | 6 | 53 | | 7 | 8 | | 8 | 63 | | 9 | 60 | | 10 | 37 | | 11 | 39 | | 12 | 49 | | 13 | 21 | | 14 | 57 | | 15 | 33 | | 16 | 40 | | 17 | 66 | | 18 | 34 | | 19 | 63 | | 20 | 49 |
| |
| 89.67% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 45 | | matches | | 0 | "was allowed" | | 1 | "was tempted" |
| |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 109 | | matches | | 0 | "was already pulling" | | 1 | "was practically standing" | | 2 | "was looking" | | 3 | "was watching" |
| |
| 92.73% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 57 | | ratio | 0.018 | | matches | | 0 | "Damn her to hell, she knew the drill, and Quinn knew she knew; the last dregs of her patience had just drained away as Davis spoke, her tone impassive." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 389 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 14 | | adverbRatio | 0.03598971722365039 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.012853470437017995 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 57 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 57 | | mean | 16.95 | | std | 9.89 | | cv | 0.583 | | sampleLengths | | 0 | 20 | | 1 | 11 | | 2 | 19 | | 3 | 23 | | 4 | 15 | | 5 | 26 | | 6 | 5 | | 7 | 9 | | 8 | 20 | | 9 | 10 | | 10 | 8 | | 11 | 22 | | 12 | 18 | | 13 | 17 | | 14 | 13 | | 15 | 36 | | 16 | 19 | | 17 | 3 | | 18 | 4 | | 19 | 12 | | 20 | 37 | | 21 | 6 | | 22 | 2 | | 23 | 27 | | 24 | 11 | | 25 | 8 | | 26 | 17 | | 27 | 14 | | 28 | 46 | | 29 | 8 | | 30 | 29 | | 31 | 33 | | 32 | 6 | | 33 | 11 | | 34 | 33 | | 35 | 5 | | 36 | 21 | | 37 | 23 | | 38 | 9 | | 39 | 21 | | 40 | 4 | | 41 | 12 | | 42 | 21 | | 43 | 30 | | 44 | 10 | | 45 | 18 | | 46 | 20 | | 47 | 4 | | 48 | 24 | | 49 | 34 |
| |
| 85.38% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.543859649122807 | | totalSentences | 57 | | uniqueOpeners | 31 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 45 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 10 | | totalSentences | 45 | | matches | | 0 | "They rounded the corner, and" | | 1 | "*They're getting careless,* Quinn noted," | | 2 | "She pointed to the wet" | | 3 | "She turned to Davis, who" | | 4 | "She let the sentence trail" | | 5 | "Her voice was low, but" | | 6 | "Her hand went instinctively to" | | 7 | "She shook it off." | | 8 | "She hit the call button" | | 9 | "She closed her eyes, the" |
| | ratio | 0.222 | |
| 60.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 36 | | totalSentences | 45 | | matches | | 0 | "The brass compass swung wildly" | | 1 | "The faded apothecary sign overhead" | | 2 | "Dawn cast its weak glow" | | 3 | "*The bloody thing would jitter" | | 4 | "Patricia Davis followed closely behind," | | 5 | "Quinn could just make out" | | 6 | "They rounded the corner, and" | | 7 | "*They're getting careless,* Quinn noted," | | 8 | "The victim lay slumped against" | | 9 | "Quinn breathed as she stepped" | | 10 | "Davis said, peering down at" | | 11 | "Quinn held up a finger" | | 12 | "Quinn cut her off." | | 13 | "She pointed to the wet" | | 14 | "Davis frowned, squinting through her" | | 15 | "Quinn rolled her eyes as" | | 16 | "A single tread mark, partially" | | 17 | "Quinn scraped at it gently" | | 18 | "She turned to Davis, who" | | 19 | "Davis said, holding up a" |
| | ratio | 0.8 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 45 | | matches | | 0 | "When God was watching her." |
| | ratio | 0.022 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 83.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 1 | | matches | | 0 | "She let, sympathy creeping into her eyes" |
| |
| 25.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 3 | | fancyTags | | 0 | "Quinn breathed (breathe)" | | 1 | "Quinn breathed (breathe)" | | 2 | "Quinn muttered (mutter)" |
| | dialogueSentences | 24 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.5 | | effectiveRatio | 0.25 | |