| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 30 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.88% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1213 | | 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) | |
| 83.51% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1213 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "measured" | | 1 | "pulse" | | 2 | "traced" |
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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 | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 54 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 54 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 74 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1206 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 769 | | uniqueNames | 10 | | maxNameDensity | 0.78 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Moreau | 1 | | Rory | 5 | | Marseillais | 1 | | Avaros | 1 | | Oxford | 1 | | Ptolemy | 1 | | Latin | 1 | | Golden | 1 | | Empress | 1 | | Lucien | 6 |
| | persons | | 0 | "Moreau" | | 1 | "Rory" | | 2 | "Avaros" | | 3 | "Ptolemy" | | 4 | "Lucien" |
| | places | | | globalScore | 1 | | 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 | 1206 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 74 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 34.46 | | std | 23.88 | | cv | 0.693 | | sampleLengths | | 0 | 35 | | 1 | 63 | | 2 | 4 | | 3 | 58 | | 4 | 23 | | 5 | 5 | | 6 | 3 | | 7 | 64 | | 8 | 28 | | 9 | 3 | | 10 | 72 | | 11 | 65 | | 12 | 51 | | 13 | 44 | | 14 | 5 | | 15 | 75 | | 16 | 1 | | 17 | 10 | | 18 | 6 | | 19 | 6 | | 20 | 55 | | 21 | 39 | | 22 | 44 | | 23 | 61 | | 24 | 48 | | 25 | 65 | | 26 | 8 | | 27 | 58 | | 28 | 23 | | 29 | 55 | | 30 | 4 | | 31 | 28 | | 32 | 39 | | 33 | 28 | | 34 | 30 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 54 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 114 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 1 | | flaggedSentences | 5 | | totalSentences | 74 | | ratio | 0.068 | | matches | | 0 | "His mismatched eyes—one the colour of burnt sugar, the other a flat, lightless void—dropped from Rory’s face to the crescent-shaped scar on her left wrist, where her fingers gripped the edge of the door." | | 1 | "The carving—a coiled serpent with rubies for eyes—dug into his leather palm." | | 2 | "A dark, viscous drop—too thick for human blood, carrying the faint, ozone tang of Avaros—splashed onto the frayed coir rug beside his polished Oxford shoe." | | 3 | "His hand shot out—the good one, uninjured and fast—and wrapped around her left wrist." | | 4 | "The black eye was a mirror, reflecting the small, cluttered room and the pale oval of her own face; the amber one burned like banked coals." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 784 | | adjectiveStacks | 1 | | stackExamples | | 0 | "single silver-blond strand" |
| | adverbCount | 19 | | adverbRatio | 0.02423469387755102 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.003826530612244898 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 74 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 74 | | mean | 16.3 | | std | 10.79 | | cv | 0.662 | | sampleLengths | | 0 | 4 | | 1 | 4 | | 2 | 27 | | 3 | 5 | | 4 | 24 | | 5 | 34 | | 6 | 4 | | 7 | 12 | | 8 | 16 | | 9 | 30 | | 10 | 11 | | 11 | 12 | | 12 | 5 | | 13 | 3 | | 14 | 6 | | 15 | 30 | | 16 | 28 | | 17 | 3 | | 18 | 25 | | 19 | 3 | | 20 | 16 | | 21 | 10 | | 22 | 28 | | 23 | 18 | | 24 | 12 | | 25 | 16 | | 26 | 37 | | 27 | 7 | | 28 | 11 | | 29 | 24 | | 30 | 5 | | 31 | 4 | | 32 | 13 | | 33 | 31 | | 34 | 5 | | 35 | 27 | | 36 | 5 | | 37 | 43 | | 38 | 1 | | 39 | 10 | | 40 | 6 | | 41 | 6 | | 42 | 17 | | 43 | 18 | | 44 | 20 | | 45 | 13 | | 46 | 26 | | 47 | 13 | | 48 | 6 | | 49 | 25 |
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| 78.38% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.4864864864864865 | | totalSentences | 74 | | uniqueOpeners | 36 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 53 | | matches | | 0 | "Once, twice, three times." | | 1 | "Instead, she grabbed the end" | | 2 | "Instead, his fingers slid up" |
| | ratio | 0.057 | |
| 61.51% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 53 | | matches | | 0 | "His mismatched eyes—one the colour" | | 1 | "She kept her foot wedged" | | 2 | "She stepped aside." | | 3 | "He smelled of wet wool," | | 4 | "She shoved a stack of" | | 5 | "His left arm hung at" | | 6 | "He lowered himself onto the" | | 7 | "She turned, leaning her hip" | | 8 | "Her bright blue eyes narrowed." | | 9 | "he said, his voice dropping" | | 10 | "She didn't reach for his" | | 11 | "she said, standing between his" | | 12 | "His hand shot out—the good" | | 13 | "His thumb pressed directly over" | | 14 | "He pulled her an inch" | | 15 | "His thumb traced the curve" | | 16 | "she said, though the heat" | | 17 | "He didn't let go of" | | 18 | "she asked, her voice barely" | | 19 | "He tilted his head back," |
| | ratio | 0.396 | |
| 35.47% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 45 | | totalSentences | 53 | | matches | | 0 | "Brass scraped against brass." | | 1 | "The final deadbolt clicked back," | | 2 | "Lucien Moreau filled the doorframe." | | 3 | "Rain darkened the shoulders of" | | 4 | "His mismatched eyes—one the colour" | | 5 | "Rory didn't step back" | | 6 | "She kept her foot wedged" | | 7 | "Lucien’s gloved hand tightened on" | | 8 | "The carving—a coiled serpent with" | | 9 | "A muscle feathered in his" | | 10 | "The Marseillais cadence in his" | | 11 | "Rory looked down." | | 12 | "A dark, viscous drop—too thick" | | 13 | "She stepped aside." | | 14 | "Lucien moved past her with" | | 15 | "He smelled of wet wool," | | 16 | "The tabby arched his back," | | 17 | "Rory muttered, crossing the tiny" | | 18 | "She shoved a stack of" | | 19 | "Lucien unbuttoned his overcoat with" |
| | ratio | 0.849 | |
| 94.34% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 53 | | matches | | 0 | "Even through the thin lambskin" |
| | ratio | 0.019 | |
| 73.73% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 3 | | matches | | 0 | "The Marseillais cadence in his voice thickened as his gaze drifted past her shoulder, taking in the towering stacks of yellowed scrolls and leather-bound lexico…" | | 1 | "The kettle began to rumble, a low vibration that rattled the mismatched mugs on the drying rack." | | 2 | "Instead, his fingers slid up her forearm, pushing back the sleeve of her worn cardigan until his glove gave way to bare skin at his wrist, pressing his burning …" |
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| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 1 | | matches | | 0 | "he said, his voice dropping an octave" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | 0 | "Rory muttered (mutter)" |
| | dialogueSentences | 30 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.167 | | effectiveRatio | 0.067 | |