| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 2 | | adverbTags | | 0 | "he said quietly [quietly]" | | 1 | "she said quietly [quietly]" |
| | dialogueSentences | 44 | | tagDensity | 0.295 | | leniency | 0.591 | | rawRatio | 0.154 | | effectiveRatio | 0.091 | |
| 95.92% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1224 | | 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) | |
| 59.15% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1224 | | totalAiIsms | 10 | | found | | 0 | | word | "practiced ease" | | count | 1 |
| | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | |
| | highlights | | 0 | "practiced ease" | | 1 | "traced" | | 2 | "scanning" | | 3 | "tension" | | 4 | "calculated" | | 5 | "tinged" | | 6 | "silence" | | 7 | "fractured" |
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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 | 71 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 71 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 102 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1211 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 852 | | uniqueNames | 8 | | maxNameDensity | 0.82 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Rory | 5 | | Moreau | 1 | | Lucien | 7 | | Eva | 3 | | Demon | 1 | | London | 1 | | Ptolemy | 3 | | Evan | 1 |
| | persons | | 0 | "Rory" | | 1 | "Moreau" | | 2 | "Lucien" | | 3 | "Eva" | | 4 | "Demon" | | 5 | "Ptolemy" | | 6 | "Evan" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 4 | | matches | | 0 | "quite name" | | 1 | "looked like a man standing at the edge of" | | 2 | "seemed almost absurd given the tension in the room" | | 3 | "as if officiating over the fragile truce" |
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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 | 1211 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 102 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 23.29 | | std | 20.24 | | cv | 0.869 | | sampleLengths | | 0 | 67 | | 1 | 4 | | 2 | 65 | | 3 | 20 | | 4 | 10 | | 5 | 13 | | 6 | 4 | | 7 | 52 | | 8 | 32 | | 9 | 2 | | 10 | 59 | | 11 | 75 | | 12 | 6 | | 13 | 2 | | 14 | 6 | | 15 | 21 | | 16 | 36 | | 17 | 4 | | 18 | 31 | | 19 | 9 | | 20 | 4 | | 21 | 15 | | 22 | 33 | | 23 | 38 | | 24 | 5 | | 25 | 5 | | 26 | 20 | | 27 | 58 | | 28 | 4 | | 29 | 3 | | 30 | 4 | | 31 | 54 | | 32 | 10 | | 33 | 2 | | 34 | 19 | | 35 | 10 | | 36 | 31 | | 37 | 17 | | 38 | 39 | | 39 | 8 | | 40 | 6 | | 41 | 10 | | 42 | 38 | | 43 | 10 | | 44 | 25 | | 45 | 30 | | 46 | 67 | | 47 | 14 | | 48 | 37 | | 49 | 36 |
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| 90.44% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 71 | | matches | | 0 | "been denied" | | 1 | "being stacked" | | 2 | "been warned" |
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| 63.01% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 146 | | matches | | 0 | "was already surveying" | | 1 | "was closing" | | 2 | "was memorizing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 102 | | ratio | 0.078 | | matches | | 0 | "She could smell him—that particular blend of sandalwood and something darker underneath, like ozone before a storm." | | 1 | "His ivory-handled cane caught the dim light from the stairwell's single bulb, and his heterochromatic eyes—one amber, one black—traced her face with an expression she couldn't quite name." | | 2 | "When she turned, he was already surveying the chaos of the flat—books stacked on every surface, scrolls pinned to the walls, notes in her handwriting covering the kitchen table." | | 3 | "Rory laughed—a short, bitter sound." | | 4 | "\"No.\" He moved to the window, keeping his back to her—a calculated vulnerability." | | 5 | "The word hung between them—loved—too large for the cramped room, too heavy for the silence that followed." | | 6 | "The demon looked down, startled, and the cat meowed once—a demand for attention that seemed almost absurd given the tension in the room." | | 7 | "\"Sit down. Start from the beginning. And this time—\" she met his eyes, \"—you're not leaving anything out.\"" |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 510 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.03333333333333333 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.00196078431372549 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 102 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 102 | | mean | 11.87 | | std | 8.92 | | cv | 0.752 | | sampleLengths | | 0 | 16 | | 1 | 22 | | 2 | 17 | | 3 | 6 | | 4 | 6 | | 5 | 4 | | 6 | 29 | | 7 | 28 | | 8 | 2 | | 9 | 6 | | 10 | 17 | | 11 | 3 | | 12 | 5 | | 13 | 5 | | 14 | 13 | | 15 | 4 | | 16 | 26 | | 17 | 26 | | 18 | 8 | | 19 | 5 | | 20 | 3 | | 21 | 16 | | 22 | 2 | | 23 | 19 | | 24 | 25 | | 25 | 15 | | 26 | 14 | | 27 | 29 | | 28 | 15 | | 29 | 17 | | 30 | 6 | | 31 | 2 | | 32 | 6 | | 33 | 12 | | 34 | 9 | | 35 | 12 | | 36 | 16 | | 37 | 8 | | 38 | 4 | | 39 | 5 | | 40 | 26 | | 41 | 9 | | 42 | 4 | | 43 | 13 | | 44 | 2 | | 45 | 9 | | 46 | 17 | | 47 | 7 | | 48 | 7 | | 49 | 31 |
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| 68.30% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.45098039215686275 | | totalSentences | 102 | | uniqueOpeners | 46 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 63 | | matches | (empty) | | ratio | 0 | |
| 42.22% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 63 | | matches | | 0 | "She could smell him—that particular" | | 1 | "He'd always worn that same" | | 2 | "His ivory-handled cane caught the" | | 3 | "Her name in his accent" | | 4 | "She did not step aside." | | 5 | "He smiled, and it was" | | 6 | "She glanced past him, scanning" | | 7 | "She stepped back, and he" | | 8 | "His gaze lingered on a" | | 9 | "Her and Eva, arms around" | | 10 | "he said quietly" | | 11 | "She crossed her arms, positioning" | | 12 | "He turned to face her," | | 13 | "She saw exhaustion in the" | | 14 | "He moved to the window," | | 15 | "She could hear the clatter" | | 16 | "She exhaled, forcing her voice" | | 17 | "His gaze held hers" | | 18 | "He stepped closer, and she" | | 19 | "she said quietly" |
| | ratio | 0.444 | |
| 55.24% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 63 | | matches | | 0 | "The first deadbolt turned with" | | 1 | "She could smell him—that particular" | | 2 | "He'd always worn that same" | | 3 | "The door swung inward." | | 4 | "Lucien Moreau leaned against the" | | 5 | "His ivory-handled cane caught the" | | 6 | "Her name in his accent" | | 7 | "She did not step aside." | | 8 | "He smiled, and it was" | | 9 | "She glanced past him, scanning" | | 10 | "Nothing seemed out of place." | | 11 | "She stepped back, and he" | | 12 | "Ptolemy, Eva's ancient tabby, lifted" | | 13 | "Lucien ignored him with the" | | 14 | "Rory closed the door behind" | | 15 | "His gaze lingered on a" | | 16 | "Her and Eva, arms around" | | 17 | "he said quietly" | | 18 | "She crossed her arms, positioning" | | 19 | "He turned to face her," |
| | ratio | 0.81 | |
| 79.37% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 63 | | matches | | 0 | "By the time the second" |
| | ratio | 0.016 | |
| 8.93% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 6 | | matches | | 0 | "The first deadbolt turned with a metallic grind that sounded too loud in the narrow stairwell." | | 1 | "Lucien Moreau leaned against the doorframe with the practiced ease of a man who had never been denied entry anywhere, though he made no move to cross the thresh…" | | 2 | "The word hung between them—loved—too large for the cramped room, too heavy for the silence that followed." | | 3 | "For a moment, he looked nothing like the polished fixer who commanded London's supernatural underworld." | | 4 | "But she thought of the nights she'd spent wondering, the questions that had kept her awake long after she should have been sleeping." | | 5 | "Ptolemy leaped onto the table and settled between them, as if officiating over the fragile truce." |
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| 48.08% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 2 | | matches | | 0 | "She held, refusing to look away" | | 1 | "His voice dropped, rough" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | 0 | "that she refused (refuse)" |
| | dialogueSentences | 44 | | tagDensity | 0.091 | | leniency | 0.182 | | rawRatio | 0.25 | | effectiveRatio | 0.045 | |