| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 25 | | tagDensity | 0.16 | | leniency | 0.32 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 51.57% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 826 | | totalAiIsmAdverbs | 8 | | found | | | highlights | | 0 | "softly" | | 1 | "slightly" | | 2 | "carefully" | | 3 | "suddenly" | | 4 | "slowly" |
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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 | 826 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "chill" | | 1 | "gleaming" | | 2 | "echoing" | | 3 | "flicked" | | 4 | "chaotic" | | 5 | "unreadable" | | 6 | "jaw clenched" | | 7 | "tension" | | 8 | "silence" | | 9 | "etched" | | 10 | "whisper" | | 11 | "weight" | | 12 | "unspoken" | | 13 | "flicker" | | 14 | "trembled" | | 15 | "tracing" | | 16 | "reminder" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 45 | | matches | | |
| 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 | 66 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 814 | | 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 | 11 | | wordCount | 552 | | uniqueNames | 7 | | maxNameDensity | 0.54 | | worstName | "Aurora" | | maxWindowNameDensity | 1 | | worstWindowName | "Aurora" | | discoveredNames | | Carter | 1 | | Moreau | 1 | | London | 1 | | Brick | 1 | | Lane | 1 | | Aurora | 3 | | Lucien | 3 |
| | persons | | 0 | "Carter" | | 1 | "Moreau" | | 2 | "Aurora" | | 3 | "Lucien" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 25.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 40 | | glossingSentenceCount | 2 | | matches | | 0 | "not quite falling" | | 1 | "as if warning her" |
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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 | 814 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 66 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 27.13 | | std | 15.73 | | cv | 0.58 | | sampleLengths | | 0 | 45 | | 1 | 73 | | 2 | 16 | | 3 | 26 | | 4 | 53 | | 5 | 18 | | 6 | 22 | | 7 | 21 | | 8 | 9 | | 9 | 27 | | 10 | 22 | | 11 | 18 | | 12 | 44 | | 13 | 2 | | 14 | 54 | | 15 | 27 | | 16 | 32 | | 17 | 16 | | 18 | 41 | | 19 | 20 | | 20 | 28 | | 21 | 10 | | 22 | 22 | | 23 | 28 | | 24 | 11 | | 25 | 28 | | 26 | 42 | | 27 | 10 | | 28 | 9 | | 29 | 40 |
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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 | 0 | | totalVerbs | 114 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 66 | | ratio | 0.091 | | matches | | 0 | "Those heterochromatic eyes—one amber, one black—studied her as if she was a puzzle he’d yet to solve." | | 1 | "Aurora’s gaze flicked past him, noting the cluttered surfaces of her living room—books stacked haphazardly, notes scrawled across old parchment, a faint scent of spices from her meal still lingering in the air." | | 2 | "Outside, the muffled sounds of Brick Lane hummed on—cars honking, distant chatter from the curry house beneath." | | 3 | "He stopped a few steps away, watching her carefully, his face etched with regret and something deeper—longing, maybe." | | 4 | "The faint flicker of hope or heartbreak—she couldn’t tell which—danced in her eyes." | | 5 | "Her hand trembled as she reached for her wrist, fingers tracing the crescent scar—a reminder of past wounds she still carried, wild hopes she dared not acknowledge." |
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| 74.51% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 560 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 37 | | adverbRatio | 0.06607142857142857 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.023214285714285715 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 66 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 66 | | mean | 12.33 | | std | 6.73 | | cv | 0.546 | | sampleLengths | | 0 | 19 | | 1 | 12 | | 2 | 14 | | 3 | 19 | | 4 | 14 | | 5 | 17 | | 6 | 23 | | 7 | 16 | | 8 | 19 | | 9 | 7 | | 10 | 33 | | 11 | 20 | | 12 | 11 | | 13 | 7 | | 14 | 13 | | 15 | 3 | | 16 | 6 | | 17 | 10 | | 18 | 11 | | 19 | 3 | | 20 | 6 | | 21 | 9 | | 22 | 18 | | 23 | 13 | | 24 | 9 | | 25 | 13 | | 26 | 5 | | 27 | 16 | | 28 | 17 | | 29 | 11 | | 30 | 2 | | 31 | 5 | | 32 | 36 | | 33 | 13 | | 34 | 11 | | 35 | 16 | | 36 | 13 | | 37 | 19 | | 38 | 8 | | 39 | 8 | | 40 | 18 | | 41 | 23 | | 42 | 7 | | 43 | 13 | | 44 | 16 | | 45 | 12 | | 46 | 3 | | 47 | 7 | | 48 | 7 | | 49 | 15 |
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| 75.76% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.45454545454545453 | | totalSentences | 66 | | uniqueOpeners | 30 | |
| 74.07% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 45 | | matches | | 0 | "Then she sighed, shoulders sagging" |
| | ratio | 0.022 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 45 | | matches | | 0 | "Her brow twitched, sharp and" | | 1 | "His platinum blond hair caught" | | 2 | "His tailored charcoal suit looked" | | 3 | "she said, voice flat but" | | 4 | "He stepped inside, cane tapping" | | 5 | "He glanced around, the slightest" | | 6 | "She closed the door behind" | | 7 | "Her shoulders stiffened." | | 8 | "He leaned on his cane," | | 9 | "Her jaw clenched." | | 10 | "He shifted, the heels of" | | 11 | "She crossed her arms, eyes" | | 12 | "His lips curved into a" | | 13 | "He paused, hesitated for just" | | 14 | "Her eyes flicked away, a" | | 15 | "He pushed off the wall," | | 16 | "she cut in, voice trembling" | | 17 | "He stopped a few steps" | | 18 | "Her guard clamped tighter around" | | 19 | "Her breath hitched." |
| | ratio | 0.6 | |
| 15.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 40 | | totalSentences | 45 | | matches | | 0 | "The door swung open with" | | 1 | "Aurora Carter froze, one hand" | | 2 | "Her brow twitched, sharp and" | | 3 | "Lucien Moreau tipped his head" | | 4 | "His platinum blond hair caught" | | 5 | "Those heterochromatic eyes—one amber, one" | | 6 | "His tailored charcoal suit looked" | | 7 | "she said, voice flat but" | | 8 | "He stepped inside, cane tapping" | | 9 | "Aurora’s gaze flicked past him," | | 10 | "Everything about her had changed" | | 11 | "He glanced around, the slightest" | | 12 | "She closed the door behind" | | 13 | "Her shoulders stiffened." | | 14 | "He leaned on his cane," | | 15 | "Her jaw clenched." | | 16 | "He shifted, the heels of" | | 17 | "She crossed her arms, eyes" | | 18 | "His lips curved into a" | | 19 | "The room sizzled with the" |
| | ratio | 0.889 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 45 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 1 | | matches | | 0 | "The door swung open with a quiet protest, hinges creaking softly as if reluctant to reveal what lay beyond." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 3 | | matches | | 0 | "she said, voice flat but edged with something more fragile beneath" | | 1 | "she cut in, voice trembling but firm" | | 2 | "she said, voice cracking," |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 25 | | tagDensity | 0.08 | | leniency | 0.16 | | rawRatio | 0 | | effectiveRatio | 0 | |