| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 2 | | adverbTags | | 0 | "Lucien said softly [softly]" | | 1 | "Lucien replied smoothly [smoothly]" |
| | dialogueSentences | 49 | | tagDensity | 0.245 | | leniency | 0.49 | | rawRatio | 0.167 | | effectiveRatio | 0.082 | |
| 87.69% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1219 | | totalAiIsmAdverbs | 3 | | 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) | |
| 42.58% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1219 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "lilt" | | 1 | "navigating" | | 2 | "measured" | | 3 | "effortless" | | 4 | "weight" | | 5 | "tension" | | 6 | "charm" | | 7 | "sanctuary" | | 8 | "tracing" | | 9 | "grave" | | 10 | "pulse" | | 11 | "clenching" | | 12 | "rhythmic" | | 13 | "stomach" |
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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 | 46 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 46 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 83 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1219 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 72.54% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 710 | | uniqueNames | 10 | | maxNameDensity | 1.55 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Mediterranean | 1 | | Rory | 8 | | Moreau | 1 | | Lucien | 11 | | Eva | 1 | | Parchment | 1 | | Ptolemy | 1 | | Turkish | 1 | | European | 1 | | Evan | 1 |
| | persons | | 0 | "Rory" | | 1 | "Moreau" | | 2 | "Lucien" | | 3 | "Eva" | | 4 | "Parchment" | | 5 | "European" | | 6 | "Evan" |
| | places | (empty) | | globalScore | 0.725 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | 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 | 1219 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 83 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 24.88 | | std | 21.2 | | cv | 0.852 | | sampleLengths | | 0 | 36 | | 1 | 3 | | 2 | 43 | | 3 | 17 | | 4 | 14 | | 5 | 63 | | 6 | 25 | | 7 | 14 | | 8 | 43 | | 9 | 6 | | 10 | 11 | | 11 | 4 | | 12 | 13 | | 13 | 85 | | 14 | 5 | | 15 | 9 | | 16 | 53 | | 17 | 40 | | 18 | 12 | | 19 | 1 | | 20 | 2 | | 21 | 70 | | 22 | 16 | | 23 | 21 | | 24 | 49 | | 25 | 4 | | 26 | 11 | | 27 | 12 | | 28 | 69 | | 29 | 4 | | 30 | 41 | | 31 | 4 | | 32 | 14 | | 33 | 5 | | 34 | 6 | | 35 | 60 | | 36 | 14 | | 37 | 7 | | 38 | 2 | | 39 | 50 | | 40 | 24 | | 41 | 41 | | 42 | 37 | | 43 | 30 | | 44 | 48 | | 45 | 23 | | 46 | 18 | | 47 | 20 | | 48 | 20 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 46 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 114 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 83 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 718 | | adjectiveStacks | 1 | | stackExamples | | 0 | "ancient leather-bound folios" |
| | adverbCount | 14 | | adverbRatio | 0.019498607242339833 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.006963788300835654 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 83 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 83 | | mean | 14.69 | | std | 9.02 | | cv | 0.614 | | sampleLengths | | 0 | 10 | | 1 | 26 | | 2 | 3 | | 3 | 25 | | 4 | 18 | | 5 | 17 | | 6 | 14 | | 7 | 5 | | 8 | 22 | | 9 | 9 | | 10 | 27 | | 11 | 11 | | 12 | 14 | | 13 | 14 | | 14 | 22 | | 15 | 21 | | 16 | 6 | | 17 | 11 | | 18 | 4 | | 19 | 13 | | 20 | 34 | | 21 | 17 | | 22 | 26 | | 23 | 8 | | 24 | 5 | | 25 | 9 | | 26 | 32 | | 27 | 21 | | 28 | 19 | | 29 | 16 | | 30 | 5 | | 31 | 12 | | 32 | 1 | | 33 | 2 | | 34 | 5 | | 35 | 16 | | 36 | 15 | | 37 | 20 | | 38 | 14 | | 39 | 8 | | 40 | 8 | | 41 | 21 | | 42 | 32 | | 43 | 17 | | 44 | 4 | | 45 | 11 | | 46 | 8 | | 47 | 4 | | 48 | 18 | | 49 | 20 |
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| 87.15% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.5301204819277109 | | totalSentences | 83 | | uniqueOpeners | 44 | |
| 74.07% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 45 | | matches | | 0 | "Instead, he turned his hand" |
| | ratio | 0.022 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 11 | | totalSentences | 45 | | matches | | 0 | "She took two paces back" | | 1 | "He pushed the door shut" | | 2 | "He stepped closer, his boots" | | 3 | "He raised his left hand," | | 4 | "His amber eye flared with" | | 5 | "His voice dropped an octave," | | 6 | "He leaned in, close enough" | | 7 | "Her pulse hammered against her" | | 8 | "she whispered, her voice like" | | 9 | "It was not the loose," | | 10 | "She slipped a second, shorter" |
| | ratio | 0.244 | |
| 15.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 40 | | totalSentences | 45 | | matches | | 0 | "The third deadbolt gave a" | | 1 | "Rory yanked the timber door" | | 2 | "Lucien's voice slid into the" | | 3 | "Rory peered through the gap." | | 4 | "Lucien Moreau stood framed by" | | 5 | "The brass chain rattled as" | | 6 | "She took two paces back" | | 7 | "Lucien crossed the threshold with" | | 8 | "He pushed the door shut" | | 9 | "Lucien leaned his weight onto" | | 10 | "Parchment scrolls teetered in precarious" | | 11 | "Rory set the kitchen knife" | | 12 | "He stepped closer, his boots" | | 13 | "Lucien stopped two feet away." | | 14 | "The heat radiating off him" | | 15 | "He raised his left hand," | | 16 | "Rory caught his wrist before" | | 17 | "The small crescent scar on" | | 18 | "His amber eye flared with" | | 19 | "His voice dropped an octave," |
| | ratio | 0.889 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 45 | | matches | (empty) | | ratio | 0 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 2 | | matches | | 0 | "The dangerous familiarity of him struck her like a physical blow, dredging up memories of blood-stained upholstery, hushed arguments in speeding motorcars, and …" | | 1 | "Lucien offered her a sharp, predatory smile that made her stomach twist into knots." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 3 | | matches | | 0 | "He stepped, his boots silent against the frayed Turkish rug" | | 1 | "Lucien said softly, not pulling away from her grip" | | 2 | "dark eye seemed, while the amber burned like molten copper" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 49 | | tagDensity | 0.102 | | leniency | 0.204 | | rawRatio | 0.2 | | effectiveRatio | 0.041 | |