| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 16 | | tagDensity | 0.438 | | leniency | 0.875 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.26% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 646 | | totalAiIsmAdverbs | 1 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 646 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "amidst" | | 1 | "navigated" | | 2 | "intrigue" | | 3 | "dancing" | | 4 | "depths" | | 5 | "etched" | | 6 | "echoing" | | 7 | "coded" | | 8 | "furrowed" | | 9 | "determined" | | 10 | "racing" | | 11 | "whisper" | | 12 | "sinister" | | 13 | "unraveling" |
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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 | | |
| 97.22% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 30 | | matches | | |
| 0.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 3 | | narrationSentences | 30 | | filterMatches | | | hedgeMatches | | |
| 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 | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 20 | | totalWords | 646 | | ratio | 0.031 | | matches | | 0 | "Chapter 3: Discordant Clues" | | 1 | "This is just the beginning. The darkness beneath is far more sinister than anyone can imagine." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 8.82% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 425 | | uniqueNames | 9 | | maxNameDensity | 2.82 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Discordant | 1 | | Detective | 1 | | Harlow | 1 | | Quinn | 12 | | Tube | 2 | | Davies | 6 | | Veil | 1 | | Market | 1 | | Morris | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Tube" | | 3 | "Davies" | | 4 | "Morris" |
| | places | (empty) | | globalScore | 0.088 | | windowScore | 0.5 | |
| 53.85% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 26 | | glossingSentenceCount | 1 | | matches | | 0 | "nto the walls, seemingly a mix of arcane scr" |
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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 | 646 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 38 | | matches | (empty) | |
| 53.96% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 19 | | mean | 34 | | std | 11.52 | | cv | 0.339 | | sampleLengths | | 0 | 4 | | 1 | 51 | | 2 | 20 | | 3 | 35 | | 4 | 24 | | 5 | 43 | | 6 | 42 | | 7 | 43 | | 8 | 25 | | 9 | 33 | | 10 | 42 | | 11 | 25 | | 12 | 17 | | 13 | 36 | | 14 | 42 | | 15 | 37 | | 16 | 44 | | 17 | 43 | | 18 | 40 |
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| 93.57% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 30 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 67 | | 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 | "The game, as always, was afoot – and she was determined to uncover the hidden harmony beneath the chaos." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 424 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 8 | | adverbRatio | 0.018867924528301886 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.007075471698113208 | |
| 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 | 17 | | std | 8.39 | | cv | 0.494 | | sampleLengths | | 0 | 4 | | 1 | 13 | | 2 | 9 | | 3 | 17 | | 4 | 12 | | 5 | 20 | | 6 | 13 | | 7 | 22 | | 8 | 12 | | 9 | 12 | | 10 | 43 | | 11 | 4 | | 12 | 18 | | 13 | 20 | | 14 | 27 | | 15 | 11 | | 16 | 5 | | 17 | 25 | | 18 | 12 | | 19 | 21 | | 20 | 18 | | 21 | 24 | | 22 | 6 | | 23 | 19 | | 24 | 6 | | 25 | 11 | | 26 | 10 | | 27 | 26 | | 28 | 23 | | 29 | 19 | | 30 | 18 | | 31 | 19 | | 32 | 14 | | 33 | 30 | | 34 | 32 | | 35 | 11 | | 36 | 13 | | 37 | 27 |
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| 97.37% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.6052631578947368 | | totalSentences | 38 | | uniqueOpeners | 23 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 29 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 4 | | totalSentences | 29 | | matches | | 0 | "He nodded toward the victim's" | | 1 | "She had been tracking their" | | 2 | "she murmured, echoing Davies's earlier" | | 3 | "She knelt beside the victim," |
| | ratio | 0.138 | |
| 46.21% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 24 | | totalSentences | 29 | | matches | | 0 | "**Chapter 3: Discordant Clues**" | | 1 | "Detective Harlow Quinn's eyes narrowed" | | 2 | "The air reeked of stale" | | 3 | "A makeshift workstation, cluttered with" | | 4 | "Quinn asked, her voice low" | | 5 | "Davies replied, crouched beside a" | | 6 | "He nodded toward the victim's" | | 7 | "Quinn's gaze lingered on the" | | 8 | "Davies's eyes met Quinn's, a" | | 9 | "Quinn's sharp jawline tensed." | | 10 | "The Veil Market, an underground" | | 11 | "She had been tracking their" | | 12 | "she murmured, echoing Davies's earlier" | | 13 | "Quinn's eyes roved the workspace," | | 14 | "She knelt beside the victim," | | 15 | "A small, hidden pocket in" | | 16 | "Quinn repeated, her voice thoughtful" | | 17 | "Davies scribbled notes, his brow" | | 18 | "Quinn stood, her military precision" | | 19 | "The game, as always, was" |
| | ratio | 0.828 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 29 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 18 | | technicalSentenceCount | 1 | | matches | | 0 | "Quinn's eyes locked onto the flickering fluorescent tube, her mind racing with the implications." |
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| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 1 | | matches | | 0 | "Quinn repeated, her voice thoughtful" |
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| 25.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "Quinn repeated (repeat)" |
| | dialogueSentences | 16 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.5 | | effectiveRatio | 0.25 | |