| 51.85% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 2 | | adverbTags | | 0 | "he said simply [simply]" | | 1 | "she said finally [finally]" |
| | dialogueSentences | 27 | | tagDensity | 0.407 | | leniency | 0.815 | | rawRatio | 0.182 | | effectiveRatio | 0.148 | |
| 76.11% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 837 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "lazily" | | 1 | "slightly" | | 2 | "loosely" |
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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) | |
| 28.32% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 837 | | totalAiIsms | 12 | | found | | 0 | | word | "sent shivers down" | | count | 1 |
| | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | |
| | highlights | | 0 | "sent shivers down" | | 1 | "intrigue" | | 2 | "otherworldly" | | 3 | "charm" | | 4 | "encounter" | | 5 | "intriguing" | | 6 | "unreadable" | | 7 | "could feel" | | 8 | "unspoken" | | 9 | "echoing" | | 10 | "fluttered" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 78.70% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 3 | | narrationSentences | 54 | | matches | | 0 | "e with surprise" | | 1 | "w with anger" | | 2 | "was bitter" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 54 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 70 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 835 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 659 | | uniqueNames | 7 | | maxNameDensity | 1.21 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Eva | 3 | | Moreau | 1 | | London | 1 | | Rory | 8 | | Silas | 1 | | Ptolemy | 2 | | Yu-Fei | 1 |
| | persons | | 0 | "Eva" | | 1 | "Moreau" | | 2 | "Rory" | | 3 | "Silas" | | 4 | "Ptolemy" |
| | places | | | globalScore | 0.893 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | 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 | 835 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 70 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 26.09 | | std | 19.92 | | cv | 0.763 | | sampleLengths | | 0 | 76 | | 1 | 9 | | 2 | 1 | | 3 | 26 | | 4 | 37 | | 5 | 28 | | 6 | 34 | | 7 | 51 | | 8 | 30 | | 9 | 12 | | 10 | 45 | | 11 | 13 | | 12 | 27 | | 13 | 3 | | 14 | 12 | | 15 | 18 | | 16 | 7 | | 17 | 16 | | 18 | 32 | | 19 | 7 | | 20 | 5 | | 21 | 43 | | 22 | 15 | | 23 | 22 | | 24 | 63 | | 25 | 8 | | 26 | 34 | | 27 | 19 | | 28 | 13 | | 29 | 74 | | 30 | 6 | | 31 | 49 |
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| 98.77% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 54 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 108 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 70 | | ratio | 0.014 | | matches | | 0 | "Lucien Moreau was not merely a man; he was a fixer, a half-demon with connections to the supernatural underbelly of London." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 661 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.039334341906202726 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.018154311649016642 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 70 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 70 | | mean | 11.93 | | std | 6.06 | | cv | 0.508 | | sampleLengths | | 0 | 12 | | 1 | 11 | | 2 | 9 | | 3 | 27 | | 4 | 17 | | 5 | 9 | | 6 | 1 | | 7 | 17 | | 8 | 9 | | 9 | 16 | | 10 | 21 | | 11 | 19 | | 12 | 9 | | 13 | 19 | | 14 | 15 | | 15 | 10 | | 16 | 11 | | 17 | 21 | | 18 | 9 | | 19 | 14 | | 20 | 9 | | 21 | 7 | | 22 | 8 | | 23 | 4 | | 24 | 10 | | 25 | 20 | | 26 | 15 | | 27 | 8 | | 28 | 5 | | 29 | 8 | | 30 | 19 | | 31 | 2 | | 32 | 1 | | 33 | 12 | | 34 | 10 | | 35 | 8 | | 36 | 7 | | 37 | 4 | | 38 | 12 | | 39 | 21 | | 40 | 11 | | 41 | 7 | | 42 | 5 | | 43 | 7 | | 44 | 19 | | 45 | 17 | | 46 | 9 | | 47 | 6 | | 48 | 18 | | 49 | 4 |
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| 70.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.42857142857142855 | | totalSentences | 70 | | uniqueOpeners | 30 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 51 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 51 | | matches | | 0 | "She flipped each deadbolt with" | | 1 | "Her jaw dropped slightly, blue" | | 2 | "He leaned casually against the" | | 3 | "he drawled, his voice rich" | | 4 | "They gleamed under his thick" | | 5 | "His lips, pale in the" | | 6 | "She'd been right to expect" | | 7 | "she managed, her voice steadier" | | 8 | "She leaned against the door," | | 9 | "he said simply" | | 10 | "It had been in a" | | 11 | "She'd stormed out, leaving him" | | 12 | "she said, her tone wry" | | 13 | "He smiled, a dangerous flash" | | 14 | "Her laugh was bitter." | | 15 | "He took a step closer," | | 16 | "she challenged, her breath quickening" | | 17 | "His words, sincere and heartfelt," | | 18 | "She could feel her walls" | | 19 | "She clutched the book tighter," |
| | ratio | 0.588 | |
| 18.82% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 45 | | totalSentences | 51 | | matches | | 0 | "The doorbell rang, a sharp" | | 1 | "Rory, curled up on Eva's" | | 2 | "Ptolemy, Eva's cat, yawned lazily" | | 3 | "She flipped each deadbolt with" | | 4 | "Her jaw dropped slightly, blue" | | 5 | "He leaned casually against the" | | 6 | "A charcoal coat hung loosely" | | 7 | "he drawled, his voice rich" | | 8 | "A part of her, the" | | 9 | "The front hall light illuminated" | | 10 | "They gleamed under his thick" | | 11 | "His lips, pale in the" | | 12 | "Rory's heart pounded, a mix" | | 13 | "She'd been right to expect" | | 14 | "Lucien Moreau was not merely" | | 15 | "she managed, her voice steadier" | | 16 | "She leaned against the door," | | 17 | "he said simply" | | 18 | "Rory's throat tightened at the" | | 19 | "It had been in a" |
| | ratio | 0.882 | |
| 98.04% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 51 | | matches | | 0 | "But, more than that, she" |
| | ratio | 0.02 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 1 | | matches | | 0 | "A part of her, the part that had once been drawn to him in a whirlwind of attraction and intrigue, stirred." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 5 | | matches | | 0 | "she managed, her voice steadier than she felt" | | 1 | "she said, her tone wry" | | 2 | "she challenged, her breath quickening" | | 3 | "she said, her voice low" | | 4 | "He paused, eyes searching her face" |
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| 75.93% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 2 | | fancyTags | | 0 | "he drawled (drawl)" | | 1 | "she challenged (challenge)" |
| | dialogueSentences | 27 | | tagDensity | 0.296 | | leniency | 0.593 | | rawRatio | 0.25 | | effectiveRatio | 0.148 | |