| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 1 | | adverbTags | | 0 | "She gestured around [around]" |
| | dialogueSentences | 30 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.1 | | effectiveRatio | 0.067 | |
| 83.77% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 924 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "tightly" | | 1 | "carefully" | | 2 | "gently" |
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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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 924 | | totalAiIsms | 19 | | found | | 0 | | word | "skipped a beat" | | count | 1 |
| | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "skipped a beat" | | 1 | "familiar" | | 2 | "echoed" | | 3 | "eyebrow" | | 4 | "fluttered" | | 5 | "implication" | | 6 | "ensuring" | | 7 | "unreadable" | | 8 | "charm" | | 9 | "stark" | | 10 | "unspoken" | | 11 | "desire" | | 12 | "could feel" | | 13 | "resolve" | | 14 | "whisper" | | 15 | "raced" | | 16 | "grappling" | | 17 | "intensity" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "heart pounded in chest" | | count | 1 |
| | 1 | | label | "eyes widened/narrowed" | | count | 1 |
|
| | highlights | | 0 | "heart hammered in her chest" | | 1 | "eyes narrowed" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 45 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 45 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 65 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 921 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 55.17% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 580 | | uniqueNames | 2 | | maxNameDensity | 1.9 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 0.552 | | 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 | 921 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 65 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 27 | | mean | 34.11 | | std | 17.73 | | cv | 0.52 | | sampleLengths | | 0 | 97 | | 1 | 33 | | 2 | 20 | | 3 | 53 | | 4 | 48 | | 5 | 38 | | 6 | 47 | | 7 | 41 | | 8 | 23 | | 9 | 34 | | 10 | 29 | | 11 | 37 | | 12 | 27 | | 13 | 62 | | 14 | 31 | | 15 | 16 | | 16 | 26 | | 17 | 34 | | 18 | 8 | | 19 | 29 | | 20 | 20 | | 21 | 25 | | 22 | 34 | | 23 | 25 | | 24 | 20 | | 25 | 11 | | 26 | 53 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 45 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 101 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 65 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 580 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.027586206896551724 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.010344827586206896 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 65 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 65 | | mean | 14.17 | | std | 6.9 | | cv | 0.487 | | sampleLengths | | 0 | 18 | | 1 | 10 | | 2 | 15 | | 3 | 23 | | 4 | 15 | | 5 | 16 | | 6 | 10 | | 7 | 7 | | 8 | 16 | | 9 | 20 | | 10 | 10 | | 11 | 12 | | 12 | 12 | | 13 | 19 | | 14 | 11 | | 15 | 15 | | 16 | 6 | | 17 | 16 | | 18 | 12 | | 19 | 26 | | 20 | 13 | | 21 | 14 | | 22 | 8 | | 23 | 12 | | 24 | 12 | | 25 | 29 | | 26 | 20 | | 27 | 3 | | 28 | 21 | | 29 | 13 | | 30 | 29 | | 31 | 17 | | 32 | 20 | | 33 | 16 | | 34 | 11 | | 35 | 38 | | 36 | 24 | | 37 | 14 | | 38 | 17 | | 39 | 10 | | 40 | 6 | | 41 | 8 | | 42 | 18 | | 43 | 11 | | 44 | 10 | | 45 | 13 | | 46 | 7 | | 47 | 1 | | 48 | 12 | | 49 | 17 |
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| 68.72% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.4307692307692308 | | totalSentences | 65 | | uniqueOpeners | 28 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 45 | | matches | (empty) | | ratio | 0 | |
| 6.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 45 | | matches | | 0 | "She hadn't expected to see" | | 1 | "His deep voice echoed through" | | 2 | "She had to remind herself" | | 3 | "Her voice came out sharper" | | 4 | "He stepped into the flat," | | 5 | "It had been a whirlwind" | | 6 | "She stepped aside, allowing him" | | 7 | "He chuckled, his gaze taking" | | 8 | "Her heart fluttered at the" | | 9 | "She turned to face him," | | 10 | "He pulled out a slim" | | 11 | "He lit his own cigarette" | | 12 | "She gestured around the modest" | | 13 | "He exhaled a stream of" | | 14 | "He took a step closer," | | 15 | "She caught his hand in" | | 16 | "He leaned in, his breath" | | 17 | "She released his hand and" | | 18 | "She shook her head, her" | | 19 | "He took a deep drag" |
| | ratio | 0.533 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 42 | | totalSentences | 45 | | matches | | 0 | "The door swung open and" | | 1 | "Aurora's heart skipped a beat" | | 2 | "She hadn't expected to see" | | 3 | "The scent of his cologne" | | 4 | "His deep voice echoed through" | | 5 | "Aurora's hand gripped the doorknob" | | 6 | "She had to remind herself" | | 7 | "Her voice came out sharper" | | 8 | "Lucien raised an eyebrow at" | | 9 | "He stepped into the flat," | | 10 | "Ptolemy, her tabby cat, rubbed" | | 11 | "Aurora bit her lip, remembering" | | 12 | "It had been a whirlwind" | | 13 | "She stepped aside, allowing him" | | 14 | "He chuckled, his gaze taking" | | 15 | "Her heart fluttered at the" | | 16 | "Aurora shut the door, ensuring" | | 17 | "She turned to face him," | | 18 | "Lucien sauntered towards her, his" | | 19 | "He pulled out a slim" |
| | ratio | 0.933 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 45 | | matches | | 0 | "Before she could finish, Lucien" |
| | ratio | 0.022 | |
| 91.84% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 2 | | matches | | 0 | "She could feel her resolve weakening, the memories of their past pulling at her like a gravitational force." | | 1 | "Aurora's arms slid around his neck, and she surrendered to the moment, to the rush of emotions that consumed her." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 3 | | matches | | 0 | "He lit, the flame reflecting in his eyes" | | 1 | "He exhaled, his gaze turning smoky" | | 2 | "He took, his proximity making her aware of her rapid heartbeat" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |