| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said softly [softly]" |
| | dialogueSentences | 50 | | tagDensity | 0.22 | | leniency | 0.44 | | rawRatio | 0.091 | | effectiveRatio | 0.04 | |
| 85.47% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1032 | | totalAiIsmAdverbs | 3 | | 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) | |
| 70.93% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1032 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "flicker" | | 1 | "unreadable" | | 2 | "tension" | | 3 | "charged" | | 4 | "pulse" | | 5 | "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 | 76 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 76 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 114 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 7 | | totalWords | 1023 | | ratio | 0.007 | | matches | | 0 | "This isn’t a life for you." | | 1 | "clink" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 53.98% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 729 | | uniqueNames | 4 | | maxNameDensity | 1.92 | | worstName | "Lucien" | | maxWindowNameDensity | 3 | | worstWindowName | "Lucien" | | discoveredNames | | Rory | 10 | | Lucien | 14 | | Moreau | 1 | | Evan | 1 |
| | persons | | 0 | "Rory" | | 1 | "Lucien" | | 2 | "Moreau" | | 3 | "Evan" |
| | places | (empty) | | globalScore | 0.54 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like no time had passed at all" |
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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 | 1023 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 114 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 19.67 | | std | 16.6 | | cv | 0.844 | | sampleLengths | | 0 | 64 | | 1 | 11 | | 2 | 23 | | 3 | 25 | | 4 | 53 | | 5 | 9 | | 6 | 14 | | 7 | 23 | | 8 | 10 | | 9 | 52 | | 10 | 6 | | 11 | 29 | | 12 | 32 | | 13 | 5 | | 14 | 4 | | 15 | 9 | | 16 | 3 | | 17 | 70 | | 18 | 4 | | 19 | 27 | | 20 | 1 | | 21 | 5 | | 22 | 37 | | 23 | 6 | | 24 | 20 | | 25 | 3 | | 26 | 3 | | 27 | 19 | | 28 | 5 | | 29 | 4 | | 30 | 26 | | 31 | 36 | | 32 | 3 | | 33 | 36 | | 34 | 15 | | 35 | 14 | | 36 | 7 | | 37 | 25 | | 38 | 8 | | 39 | 12 | | 40 | 25 | | 41 | 5 | | 42 | 37 | | 43 | 30 | | 44 | 1 | | 45 | 13 | | 46 | 25 | | 47 | 49 | | 48 | 14 | | 49 | 6 |
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| 96.03% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 76 | | matches | | 0 | "was slicked" | | 1 | "being poured" |
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| 65.77% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 149 | | matches | | 0 | "was already weaving" | | 1 | "was drowning" | | 2 | "was trying" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 114 | | ratio | 0.061 | | matches | | 0 | "The door swung open before Rory could knock a second time, and there he stood—Lucien Moreau, leaning against the frame like he’d been expecting her." | | 1 | "His platinum hair was slicked back, just as she remembered, but his heterochromatic eyes—one amber, one black—held a flicker of something unreadable." | | 2 | "The flat was exactly as she remembered—cluttered, lived-in, every surface buried under books and scrolls." | | 3 | "That word—rescue—hung between them, heavy with history." | | 4 | "Not when she looked at him like this—like she was drowning and he was the only one who could throw her a line." | | 5 | "She stepped closer, close enough to see the faint scar along his collarbone—old, but not as old as the ones she couldn’t see." | | 6 | "It had been so long—too long—and yet it felt like no time had passed at all." |
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| 89.07% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 743 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 39 | | adverbRatio | 0.052489905787348586 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.010767160161507403 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 114 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 114 | | mean | 8.97 | | std | 5.8 | | cv | 0.646 | | sampleLengths | | 0 | 25 | | 1 | 22 | | 2 | 2 | | 3 | 2 | | 4 | 13 | | 5 | 8 | | 6 | 3 | | 7 | 10 | | 8 | 13 | | 9 | 13 | | 10 | 12 | | 11 | 15 | | 12 | 10 | | 13 | 15 | | 14 | 13 | | 15 | 5 | | 16 | 4 | | 17 | 11 | | 18 | 3 | | 19 | 9 | | 20 | 14 | | 21 | 7 | | 22 | 3 | | 23 | 2 | | 24 | 7 | | 25 | 18 | | 26 | 13 | | 27 | 4 | | 28 | 8 | | 29 | 6 | | 30 | 13 | | 31 | 16 | | 32 | 15 | | 33 | 12 | | 34 | 5 | | 35 | 5 | | 36 | 4 | | 37 | 5 | | 38 | 4 | | 39 | 3 | | 40 | 2 | | 41 | 10 | | 42 | 4 | | 43 | 18 | | 44 | 13 | | 45 | 23 | | 46 | 4 | | 47 | 6 | | 48 | 8 | | 49 | 12 |
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| 56.73% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.3508771929824561 | | totalSentences | 114 | | uniqueOpeners | 40 | |
| 99.50% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 67 | | matches | | 0 | "then he’d walked away." | | 1 | "Instead, he set his glass" |
| | ratio | 0.03 | |
| 88.66% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 67 | | matches | | 0 | "His platinum hair was slicked" | | 1 | "he said, voice smooth as" | | 2 | "She swallowed, gripping the strap" | | 3 | "She turned to face him." | | 4 | "he cut in, voice low" | | 5 | "she said, sharper than she" | | 6 | "He was a fixer, a" | | 7 | "she said softly" | | 8 | "He turned away, moving to" | | 9 | "She watched as he downed" | | 10 | "His voice was dangerously calm" | | 11 | "She stepped closer, close enough" | | 12 | "His fingers twitched, like he" | | 13 | "She didn’t need his pity." | | 14 | "She needed his help." | | 15 | "He stepped closer, close enough" | | 16 | "She could smell the whiskey" | | 17 | "His hand cupped her jaw," | | 18 | "His lips were warm when" | | 19 | "It had been so long—too" |
| | ratio | 0.328 | |
| 49.55% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 67 | | matches | | 0 | "The door swung open before" | | 1 | "His platinum hair was slicked" | | 2 | "The scent of sandalwood and" | | 3 | "he said, voice smooth as" | | 4 | "She swallowed, gripping the strap" | | 5 | "Lucien exhaled through his nose," | | 6 | "The tabby in question was" | | 7 | "Rory stepped inside, her boots" | | 8 | "The flat was exactly as" | | 9 | "A half-empty cup of tea" | | 10 | "She turned to face him." | | 11 | "Lucien arched a brow, shutting" | | 12 | "Rory crossed her arms" | | 13 | "he cut in, voice low" | | 14 | "That word—rescue—hung between them, heavy" | | 15 | "The last time she’d seen" | | 16 | "Lucien had patched her up," | | 17 | "*This isn’t a life for" | | 18 | "she said, sharper than she" | | 19 | "Lucien studied her for a" |
| | ratio | 0.821 | |
| 74.63% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 67 | | matches | | 0 | "Because some part of her" |
| | ratio | 0.015 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 4 | | matches | | 0 | "he said, voice smooth as aged whiskey" | | 1 | "he cut in, voice low" | | 2 | "Lucien finished, voice flat" | | 3 | "His hand slid, fingers tracing the scar there" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 50 | | tagDensity | 0.08 | | leniency | 0.16 | | rawRatio | 0.25 | | effectiveRatio | 0.04 | |