| 23.53% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 3 | | adverbTags | | 0 | "He chuckled dryly [dryly]" | | 1 | "The cat Ptolemy stroked around [around]" | | 2 | "he said quietly [quietly]" |
| | dialogueSentences | 34 | | tagDensity | 0.471 | | leniency | 0.941 | | rawRatio | 0.188 | | effectiveRatio | 0.176 | |
| 66.32% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1336 | | totalAiIsmAdverbs | 9 | | found | | | highlights | | 0 | "really" | | 1 | "slightly" | | 2 | "suddenly" | | 3 | "very" | | 4 | "truly" |
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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) | |
| 58.83% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1336 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "resolving" | | 1 | "glint" | | 2 | "eyebrow" | | 3 | "flicked" | | 4 | "silence" | | 5 | "sense of" | | 6 | "simmering" | | 7 | "radiant" | | 8 | "tracing" |
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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 | 53 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 53 | | filterMatches | (empty) | | hedgeMatches | | |
| 93.73% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 71 | | gibberishSentences | 1 | | adjustedGibberishSentences | 1 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 87 | | ratio | 0.014 | | matches | | 0 | "Then, she reached for her bag and zipped it shut, turning back to务 the stack of books that remained." |
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| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1341 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 85.69% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 622 | | uniqueNames | 4 | | maxNameDensity | 1.29 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 8 | | Lucien | 4 | | Ptolemy | 1 | | French | 1 |
| | persons | | 0 | "Rory" | | 1 | "Lucien" | | 2 | "Ptolemy" |
| | places | | | globalScore | 0.857 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 50.86% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.491 | | wordCount | 1341 | | matches | | 0 | "not sorry, but I'm aware" | | 1 | "not the gentle touch of someone cherishing them, but a firm grip designed to hold her in place" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 71 | | matches | (empty) | |
| 95.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 37.25 | | std | 17.97 | | cv | 0.482 | | sampleLengths | | 0 | 22 | | 1 | 20 | | 2 | 29 | | 3 | 23 | | 4 | 48 | | 5 | 41 | | 6 | 22 | | 7 | 50 | | 8 | 73 | | 9 | 23 | | 10 | 4 | | 11 | 71 | | 12 | 87 | | 13 | 42 | | 14 | 18 | | 15 | 36 | | 16 | 50 | | 17 | 50 | | 18 | 33 | | 19 | 50 | | 20 | 25 | | 21 | 55 | | 22 | 19 | | 23 | 31 | | 24 | 20 | | 25 | 47 | | 26 | 33 | | 27 | 24 | | 28 | 37 | | 29 | 72 | | 30 | 36 | | 31 | 35 | | 32 | 29 | | 33 | 20 | | 34 | 42 | | 35 | 24 |
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| 92.02% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 53 | | matches | | 0 | "been switched" | | 1 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 115 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 71 | | ratio | 0.014 | | matches | | 0 | "Then, abruptly, Lucien reached out and cupped her face in his hands — not the gentle touch of someone cherishing them, but a firm grip designed to hold her in place." |
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| 78.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 625 | | adjectiveStacks | 1 | | stackExamples | | 0 | "black against heterochromatic eyes," |
| | adverbCount | 35 | | adverbRatio | 0.056 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.0224 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 71 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 71 | | mean | 18.89 | | std | 14.75 | | cv | 0.781 | | sampleLengths | | 0 | 16 | | 1 | 6 | | 2 | 20 | | 3 | 22 | | 4 | 7 | | 5 | 23 | | 6 | 16 | | 7 | 15 | | 8 | 17 | | 9 | 41 | | 10 | 4 | | 11 | 18 | | 12 | 7 | | 13 | 43 | | 14 | 28 | | 15 | 45 | | 16 | 23 | | 17 | 4 | | 18 | 19 | | 19 | 52 | | 20 | 87 | | 21 | 13 | | 22 | 29 | | 23 | 6 | | 24 | 12 | | 25 | 9 | | 26 | 27 | | 27 | 12 | | 28 | 31 | | 29 | 7 | | 30 | 50 | | 31 | 22 | | 32 | 11 | | 33 | 22 | | 34 | 20 | | 35 | 8 | | 36 | 12 | | 37 | 13 | | 38 | 8 | | 39 | 10 | | 40 | 37 | | 41 | 11 | | 42 | 8 | | 43 | 6 | | 44 | 25 | | 45 | 20 | | 46 | 15 | | 47 | 32 | | 48 | 33 | | 49 | 21 |
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| 71.83% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.4647887323943662 | | totalSentences | 71 | | uniqueOpeners | 33 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 52 | | matches | | 0 | "Then, abruptly, Lucien reached out" | | 1 | "Finally, frustration tightened in Rory's" | | 2 | "Then, abruptly, he released her," | | 3 | "Then, she reached for her" |
| | ratio | 0.077 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 52 | | matches | | 0 | "She trailed off as the" | | 1 | "He smiled, a glint of" | | 2 | "He hung up his coat" | | 3 | "She hauled a large duffel" | | 4 | "She whirled to face him," | | 5 | "He chuckled dryly, but his" | | 6 | "he interrupted, voice sharp" | | 7 | "He was suddenly very close" | | 8 | "she floundered, unable to meet" | | 9 | "His breath was warm on" | | 10 | "He drew closer until his" | | 11 | "She couldn't stop herself from" | | 12 | "It was like a flip" | | 13 | "she murmured in a half-acusing" | | 14 | "he said quietly" | | 15 | "He brushed his lips over" | | 16 | "She pushed past him, gaze" | | 17 | "He grasped her arms and" | | 18 | "She arched an eyebrow" | | 19 | "His grip tightened, and for" |
| | ratio | 0.558 | |
| 65.77% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 41 | | totalSentences | 52 | | matches | | 0 | "The door clicked open, and" | | 1 | "She trailed off as the" | | 2 | "He smiled, a glint of" | | 3 | "Rory sighed and opened the" | | 4 | "Lucien stepped over the threshold," | | 5 | "Eva's cramped flat, crammed with" | | 6 | "He hung up his coat" | | 7 | "She hauled a large duffel" | | 8 | "Lucien raised an eyebrow." | | 9 | "She whirled to face him," | | 10 | "He chuckled dryly, but his" | | 11 | "The cat, Ptolemy, stroked around" | | 12 | "Rory crossed her arms, clutching" | | 13 | "Rory narrowed her eyes" | | 14 | "he interrupted, voice sharp" | | 15 | "He was suddenly very close" | | 16 | "she floundered, unable to meet" | | 17 | "The sentence died on her" | | 18 | "His breath was warm on" | | 19 | "He drew closer until his" |
| | ratio | 0.788 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 52 | | matches | (empty) | | ratio | 0 | |
| 85.71% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 2 | | matches | | 0 | "Rory crossed her arms, clutching to her sides as if she could physically hold herself together in his presence." | | 1 | "He drew closer until his forehead settled against hers, until she could smell the smoky, ancient musk that clung to his skin." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 6 | | matches | | 0 | "He smiled, a glint of amusement and wistfulness in his heterochromatic eyes" | | 1 | "She hauled, hands shaking slightly" | | 2 | "He chuckled dryly, but his gaze flicked away, flickering behind him" | | 3 | "he interrupted, voice sharp" | | 4 | "she floundered, unable to meet his eyes" | | 5 | "She pushed, gaze hardening" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 6 | | fancyTags | | 0 | "Rory sighed (sigh)" | | 1 | "He chuckled dryly (chuckle)" | | 2 | "Lucien muttered (mutter)" | | 3 | "he interrupted (interrupt)" | | 4 | "she murmured (murmur)" | | 5 | "she muttered (mutter)" |
| | dialogueSentences | 34 | | tagDensity | 0.206 | | leniency | 0.412 | | rawRatio | 0.857 | | effectiveRatio | 0.353 | |