| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 2 | | adverbTags | | 0 | "he said quietly [quietly]" | | 1 | "he whispered fiercely [fiercely]" |
| | dialogueSentences | 48 | | tagDensity | 0.458 | | leniency | 0.917 | | rawRatio | 0.091 | | effectiveRatio | 0.083 | |
| 84.11% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 944 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "gently" | | 1 | "lightly" | | 2 | "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) | |
| 9.96% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 944 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "quickened" | | 1 | "whisper" | | 2 | "imposing" | | 3 | "magnetic" | | 4 | "encounter" | | 5 | "echoed" | | 6 | "eyebrow" | | 7 | "comforting" | | 8 | "flicker" | | 9 | "stomach" | | 10 | "churn" | | 11 | "facade" | | 12 | "tension" | | 13 | "reminder" | | 14 | "normalcy" | | 15 | "warmth" | | 16 | "unspoken" |
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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 | 1 | | narrationSentences | 61 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 61 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 88 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 23 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 940 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 1 | | matches | | 0 | "Despite everything, she laughed." |
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| 96.65% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 656 | | uniqueNames | 6 | | maxNameDensity | 1.07 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Silas | 1 | | Moreau | 1 | | Lucien | 7 | | Aurora | 3 | | Placing | 1 | | Despite | 1 |
| | persons | | 0 | "Silas" | | 1 | "Moreau" | | 2 | "Lucien" | | 3 | "Aurora" |
| | places | (empty) | | globalScore | 0.966 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 940 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 88 | | matches | (empty) | |
| 90.23% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 24.74 | | std | 11.52 | | cv | 0.466 | | sampleLengths | | 0 | 59 | | 1 | 22 | | 2 | 43 | | 3 | 63 | | 4 | 14 | | 5 | 38 | | 6 | 30 | | 7 | 16 | | 8 | 17 | | 9 | 29 | | 10 | 18 | | 11 | 23 | | 12 | 26 | | 13 | 27 | | 14 | 13 | | 15 | 22 | | 16 | 24 | | 17 | 27 | | 18 | 31 | | 19 | 17 | | 20 | 27 | | 21 | 29 | | 22 | 20 | | 23 | 17 | | 24 | 17 | | 25 | 17 | | 26 | 21 | | 27 | 13 | | 28 | 25 | | 29 | 31 | | 30 | 19 | | 31 | 28 | | 32 | 12 | | 33 | 26 | | 34 | 16 | | 35 | 10 | | 36 | 13 | | 37 | 40 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 61 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 121 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 88 | | ratio | 0.011 | | matches | | 0 | "He looked at her with those heterochromatic eyes—one amber, one black—like twin embers burning with old secrets and a world-weary wisdom." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 409 | | adjectiveStacks | 1 | | stackExamples | | 0 | "same intense, magnetic energy" |
| | adverbCount | 15 | | adverbRatio | 0.03667481662591687 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.009779951100244499 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 88 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 88 | | mean | 10.68 | | std | 5.35 | | cv | 0.501 | | sampleLengths | | 0 | 18 | | 1 | 16 | | 2 | 7 | | 3 | 13 | | 4 | 5 | | 5 | 22 | | 6 | 5 | | 7 | 3 | | 8 | 9 | | 9 | 8 | | 10 | 18 | | 11 | 16 | | 12 | 11 | | 13 | 21 | | 14 | 15 | | 15 | 14 | | 16 | 8 | | 17 | 13 | | 18 | 12 | | 19 | 5 | | 20 | 21 | | 21 | 9 | | 22 | 10 | | 23 | 6 | | 24 | 11 | | 25 | 6 | | 26 | 15 | | 27 | 14 | | 28 | 10 | | 29 | 8 | | 30 | 15 | | 31 | 8 | | 32 | 19 | | 33 | 7 | | 34 | 10 | | 35 | 15 | | 36 | 2 | | 37 | 10 | | 38 | 3 | | 39 | 12 | | 40 | 4 | | 41 | 6 | | 42 | 19 | | 43 | 5 | | 44 | 8 | | 45 | 19 | | 46 | 8 | | 47 | 23 | | 48 | 14 | | 49 | 3 |
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| 84.09% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.5113636363636364 | | totalSentences | 88 | | uniqueOpeners | 45 | |
| 54.64% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 61 | | matches | | 0 | "Maybe it was Silas, needing" |
| | ratio | 0.016 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 37 | | totalSentences | 61 | | matches | | 0 | "She froze, soap suds clinging" | | 1 | "It was a bit late" | | 2 | "Her heartbeat quickened." | | 3 | "She activated each of the" | | 4 | "His presence exuded the same" | | 5 | "He looked at her with" | | 6 | "His tailored charcoal suit was" | | 7 | "he greeted, his voice smooth," | | 8 | "she replied, struggling to keep" | | 9 | "It had been six months" | | 10 | "She leaned against the doorframe," | | 11 | "He turned to face her," | | 12 | "She moved to the tiny" | | 13 | "His laughter echoed in the" | | 14 | "She raised an eyebrow, feeling" | | 15 | "she said, resigning herself to" | | 16 | "She sank into the worn" | | 17 | "He remained standing, a flicker" | | 18 | "Her voice tightened" | | 19 | "she insisted, though her voice" |
| | ratio | 0.607 | |
| 17.38% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 61 | | matches | | 0 | "Aurora stood in her kitchen," | | 1 | "She froze, soap suds clinging" | | 2 | "It was a bit late" | | 3 | "Ptolemy, lounging on the window" | | 4 | "The cat's curiosity mirrored hers." | | 5 | "Another knock, three sharp raps." | | 6 | "Her heartbeat quickened." | | 7 | "She activated each of the" | | 8 | "Lucien Moreau filled the doorway," | | 9 | "His presence exuded the same" | | 10 | "He looked at her with" | | 11 | "His tailored charcoal suit was" | | 12 | "he greeted, his voice smooth," | | 13 | "she replied, struggling to keep" | | 14 | "It had been six months" | | 15 | "She leaned against the doorframe," | | 16 | "He turned to face her," | | 17 | "She moved to the tiny" | | 18 | "His laughter echoed in the" | | 19 | "She raised an eyebrow, feeling" |
| | ratio | 0.885 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 1 | | matches | | 0 | "Lucien walked over, the subtle tap of his cane on the floorboards a rhythm that had once been comforting." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 7 | | matches | | 0 | "he greeted, his voice smooth, cultured, with just a trace of fatigue" | | 1 | "she replied, struggling to keep her composure" | | 2 | "she insisted, though her voice betrayed the fear lurking within" | | 3 | "he replied, a hint of admiration in his tone" | | 4 | "Her voice cracked, the hurt resurfacing" | | 5 | "he argued, his facade slipping just a touch" | | 6 | "She looked up, unsure but willing to try" |
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| 25.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 6 | | fancyTags | | 0 | "she insisted (insist)" | | 1 | "she muttered (mutter)" | | 2 | "he argued (argue)" | | 3 | "she admitted (admit)" | | 4 | "he whispered fiercely (whisper)" | | 5 | "she warned (warn)" |
| | dialogueSentences | 48 | | tagDensity | 0.271 | | leniency | 0.542 | | rawRatio | 0.462 | | effectiveRatio | 0.25 | |