| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.714 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 58.51% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 723 | | totalAiIsmAdverbs | 6 | | found | | 0 | | | 1 | | | 2 | | adverb | "reluctantly" | | count | 1 |
| | 3 | | | 4 | |
| | highlights | | 0 | "carefully" | | 1 | "gently" | | 2 | "reluctantly" | | 3 | "quickly" | | 4 | "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) | |
| 17.01% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 723 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "echoing" | | 1 | "navigated" | | 2 | "tapestry" | | 3 | "scanning" | | 4 | "potential" | | 5 | "pulse" | | 6 | "furrowed" | | 7 | "etched" | | 8 | "wavered" | | 9 | "intensity" | | 10 | "unravel" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 99.75% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 33 | | matches | | |
| 0.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 33 | | filterMatches | | | hedgeMatches | | 0 | "appeared to" | | 1 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 38 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 719 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 1.19% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 504 | | uniqueNames | 10 | | maxNameDensity | 2.98 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 2 | | Quinn | 15 | | Camden | 1 | | Tube | 1 | | Veil | 2 | | Market | 2 | | Detective | 2 | | Inspector | 1 | | Tom | 1 | | Bradley | 6 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Market" | | 3 | "Inspector" | | 4 | "Tom" | | 5 | "Bradley" |
| | places | (empty) | | globalScore | 0.012 | | windowScore | 0.167 | |
| 69.35% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 31 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like charred human skin" |
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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 | 719 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 38 | | matches | (empty) | |
| 89.43% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 19 | | mean | 37.84 | | std | 17.52 | | cv | 0.463 | | sampleLengths | | 0 | 82 | | 1 | 11 | | 2 | 54 | | 3 | 48 | | 4 | 20 | | 5 | 57 | | 6 | 51 | | 7 | 22 | | 8 | 27 | | 9 | 53 | | 10 | 27 | | 11 | 24 | | 12 | 26 | | 13 | 52 | | 14 | 40 | | 15 | 32 | | 16 | 47 | | 17 | 31 | | 18 | 15 |
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| 94.63% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 33 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 87 | | matches | (empty) | |
| 67.67% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 38 | | ratio | 0.026 | | matches | | 0 | "She gently rotated the wrist, and the dim light from the market danced across the symbol etched into the skin – a sigil, one she'd seen before in her research on the supernatural." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 236 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 7 | | adverbRatio | 0.029661016949152543 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.01694915254237288 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 38 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 38 | | mean | 18.92 | | std | 9.17 | | cv | 0.485 | | sampleLengths | | 0 | 30 | | 1 | 5 | | 2 | 28 | | 3 | 13 | | 4 | 6 | | 5 | 11 | | 6 | 30 | | 7 | 24 | | 8 | 29 | | 9 | 19 | | 10 | 20 | | 11 | 30 | | 12 | 27 | | 13 | 6 | | 14 | 12 | | 15 | 10 | | 16 | 23 | | 17 | 22 | | 18 | 27 | | 19 | 7 | | 20 | 13 | | 21 | 33 | | 22 | 27 | | 23 | 4 | | 24 | 20 | | 25 | 7 | | 26 | 19 | | 27 | 21 | | 28 | 18 | | 29 | 13 | | 30 | 40 | | 31 | 18 | | 32 | 14 | | 33 | 11 | | 34 | 36 | | 35 | 16 | | 36 | 15 | | 37 | 15 |
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| 83.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.5 | | totalSentences | 38 | | uniqueOpeners | 19 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 33 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 6 | | totalSentences | 33 | | matches | | 0 | "She navigated through the crowded" | | 1 | "Her worn leather watch caught" | | 2 | "he nodded toward the timepiece" | | 3 | "She crouched beside the body," | | 4 | "She gently rotated the wrist," | | 5 | "She rose, smoothing her closely" |
| | ratio | 0.182 | |
| 5.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 30 | | totalSentences | 33 | | matches | | 0 | "Detective Harlow Quinn stepped off" | | 1 | "The Veil Market's temporary residence." | | 2 | "A makeshift banner, crafted from" | | 3 | "Quinn's gaze swept the area," | | 4 | "This was no ordinary crime" | | 5 | "a voice called, echoing off" | | 6 | "She navigated through the crowded" | | 7 | "Her worn leather watch caught" | | 8 | "A bone token, the market's" | | 9 | "Quinn asked, approaching the scene" | | 10 | "Bradley replied, his voice laced" | | 11 | "he nodded toward the timepiece" | | 12 | "Quinn's gaze locked onto the" | | 13 | "The victim's eyes were frozen" | | 14 | "A faint, bluish glow emanated" | | 15 | "She crouched beside the body," | | 16 | "Quinn asked, her brow furrowed," | | 17 | "Bradley shifted, his eyes darting" | | 18 | "Quinn's attention snapped back to" | | 19 | "A small, almost imperceptible line" |
| | ratio | 0.909 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 33 | | matches | (empty) | | ratio | 0 | |
| 58.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 17 | | technicalSentenceCount | 2 | | matches | | 0 | "She crouched beside the body, her fingers instinctively hovering above the victim's wrist, seeking a pulse, though she knew she wouldn't find one." | | 1 | "The vendor from the timepiece stall watched her, an intensity behind his eyes that made Quinn's instincts twitch." |
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| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 1 | | matches | | 0 | "Bradley shifted, his eyes darting toward the stall owner before responding," |
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| 7.14% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 2 | | fancyTags | | 0 | "Quinn stated (state)" | | 1 | "Bradley suggested (suggest)" |
| | dialogueSentences | 14 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0.333 | | effectiveRatio | 0.286 | |