| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 34 | | tagDensity | 0.206 | | leniency | 0.412 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.34% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1073 | | 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) | |
| 58.06% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1073 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "echoing" | | 1 | "whisper" | | 2 | "familiar" | | 3 | "weight" | | 4 | "could feel" | | 5 | "electric" | | 6 | "calculating" | | 7 | "charged" | | 8 | "silence" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 63 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 63 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 89 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 6 | | totalWords | 1068 | | ratio | 0.006 | | matches | | 0 | "him" | | 1 | "not" | | 2 | "The wrong footage." | | 3 | "Snap." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 5 | | wordCount | 756 | | uniqueNames | 3 | | maxNameDensity | 0.4 | | worstName | "Eva" | | maxWindowNameDensity | 0.5 | | worstWindowName | "Eva" | | discoveredNames | | | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | 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 | 1068 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 89 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 24.27 | | std | 16.24 | | cv | 0.669 | | sampleLengths | | 0 | 58 | | 1 | 1 | | 2 | 21 | | 3 | 55 | | 4 | 14 | | 5 | 48 | | 6 | 18 | | 7 | 22 | | 8 | 47 | | 9 | 3 | | 10 | 46 | | 11 | 32 | | 12 | 55 | | 13 | 35 | | 14 | 11 | | 15 | 4 | | 16 | 15 | | 17 | 40 | | 18 | 40 | | 19 | 20 | | 20 | 22 | | 21 | 1 | | 22 | 6 | | 23 | 40 | | 24 | 11 | | 25 | 4 | | 26 | 41 | | 27 | 13 | | 28 | 23 | | 29 | 7 | | 30 | 29 | | 31 | 12 | | 32 | 41 | | 33 | 34 | | 34 | 6 | | 35 | 15 | | 36 | 28 | | 37 | 46 | | 38 | 21 | | 39 | 24 | | 40 | 20 | | 41 | 2 | | 42 | 14 | | 43 | 23 |
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| 99.69% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 63 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 128 | | matches | (empty) | |
| 78.65% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 89 | | ratio | 0.022 | | matches | | 0 | "The heterochromatic gaze locked onto mine—one amber eye blazing, the other void black." | | 1 | "The scent of him hit me—a mix of sandalwood and ozone, a distinctly demonic thing he couldn't hide no matter how much French cologne he wore." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 758 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.030343007915567283 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.009234828496042216 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 89 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 89 | | mean | 12 | | std | 7.67 | | cv | 0.639 | | sampleLengths | | 0 | 8 | | 1 | 18 | | 2 | 13 | | 3 | 19 | | 4 | 1 | | 5 | 21 | | 6 | 7 | | 7 | 29 | | 8 | 19 | | 9 | 14 | | 10 | 26 | | 11 | 9 | | 12 | 13 | | 13 | 18 | | 14 | 13 | | 15 | 9 | | 16 | 15 | | 17 | 3 | | 18 | 16 | | 19 | 13 | | 20 | 3 | | 21 | 5 | | 22 | 4 | | 23 | 2 | | 24 | 32 | | 25 | 3 | | 26 | 12 | | 27 | 20 | | 28 | 26 | | 29 | 13 | | 30 | 16 | | 31 | 21 | | 32 | 4 | | 33 | 10 | | 34 | 11 | | 35 | 4 | | 36 | 6 | | 37 | 9 | | 38 | 25 | | 39 | 15 | | 40 | 6 | | 41 | 26 | | 42 | 4 | | 43 | 4 | | 44 | 16 | | 45 | 4 | | 46 | 15 | | 47 | 7 | | 48 | 1 | | 49 | 3 |
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| 32.21% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.3146067415730337 | | totalSentences | 89 | | uniqueOpeners | 28 | |
| 54.64% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 61 | | matches | | 0 | "Instead, he stepped over the" |
| | ratio | 0.016 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 37 | | totalSentences | 61 | | matches | | 0 | "I held the door frame," | | 1 | "I should have known better" | | 2 | "He closed the door behind" | | 3 | "His voice was smooth, dipping" | | 4 | "He stood there, framed by" | | 5 | "I forced my shoulders back," | | 6 | "He looked impeccable." | | 7 | "He checked his pocket watch" | | 8 | "He took a step forward." | | 9 | "I didn't back away." | | 10 | "I was cornered." | | 11 | "I crossed my arms, trying" | | 12 | "He closed the distance, invading" | | 13 | "He reached out, his long" | | 14 | "He didn't take it." | | 15 | "He simply gripped it, hard" | | 16 | "His thumb grazed the leather" | | 17 | "He leaned in, closer this" | | 18 | "It tasted like trouble." | | 19 | "It tasted like home." |
| | ratio | 0.607 | |
| 0.98% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 61 | | matches | | 0 | "The deadbolt retracted with a" | | 1 | "The security chain slid back" | | 2 | "I held the door frame," | | 3 | "I should have known better" | | 4 | "The name left my lips" | | 5 | "The figure in the hall" | | 6 | "He closed the door behind" | | 7 | "His voice was smooth, dipping" | | 8 | "He stood there, framed by" | | 9 | "The smell of rain and" | | 10 | "I forced my shoulders back," | | 11 | "Lucien ran a hand through" | | 12 | "He looked impeccable." | | 13 | "He checked his pocket watch" | | 14 | "He took a step forward." | | 15 | "I didn't back away." | | 16 | "The flat was small, filled" | | 17 | "I was cornered." | | 18 | "I crossed my arms, trying" | | 19 | "He closed the distance, invading" |
| | ratio | 0.918 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 61 | | matches | | 0 | "If she came out, she'd" | | 1 | "If she didn't, I was" |
| | ratio | 0.033 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 3 | | matches | | 0 | "His voice was smooth, dipping into that lower register that used to make my knees weak before I knew the fire that lived underneath the skin." | | 1 | "The way his lips curled into a smile that promised violence and pleasure in equal measure." | | 2 | "He straightened his lapels, looking down his nose at me, the arrogance of a royal, even a demonic one, shining through." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 3 | | matches | | 0 | "I crossed, trying to create a barrier" | | 1 | "I whispered, the coldness I usually wore like armour slipping a fraction" | | 2 | "I yanked, a flush of heat rising up my neck" |
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| 91.18% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "I whispered (whisper)" | | 1 | "He laughed (laugh)" |
| | dialogueSentences | 34 | | tagDensity | 0.059 | | leniency | 0.118 | | rawRatio | 1 | | effectiveRatio | 0.118 | |