| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 42 | | tagDensity | 0.238 | | leniency | 0.476 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 71.33% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 872 | | totalAiIsmAdverbs | 5 | | found | | 0 | | | 1 | | | 2 | | | 3 | | adverb | "barely above a whisper" | | count | 1 |
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| | highlights | | 0 | "slowly" | | 1 | "suddenly" | | 2 | "sharply" | | 3 | "barely above a whisper" |
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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) | |
| 48.39% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 872 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "pulse" | | 1 | "velvet" | | 2 | "electric" | | 3 | "tracing" | | 4 | "stomach" | | 5 | "silence" | | 6 | "charged" | | 7 | "unspoken" | | 8 | "whisper" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "sent a shiver through" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 59 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 59 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 91 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 871 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 667 | | uniqueNames | 5 | | maxNameDensity | 1.65 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 11 | | London | 1 | | Ptolemy | 1 | | Lucien | 11 | | Carter | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Ptolemy" | | 2 | "Lucien" | | 3 | "Carter" |
| | places | | | globalScore | 0.675 | | windowScore | 0.667 | |
| 90.48% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 42 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like a cage, but it was the only o" |
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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 | 871 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 91 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 21.24 | | std | 15.99 | | cv | 0.753 | | sampleLengths | | 0 | 84 | | 1 | 5 | | 2 | 56 | | 3 | 19 | | 4 | 11 | | 5 | 34 | | 6 | 21 | | 7 | 35 | | 8 | 25 | | 9 | 26 | | 10 | 7 | | 11 | 21 | | 12 | 11 | | 13 | 24 | | 14 | 10 | | 15 | 18 | | 16 | 27 | | 17 | 10 | | 18 | 8 | | 19 | 54 | | 20 | 16 | | 21 | 12 | | 22 | 9 | | 23 | 38 | | 24 | 12 | | 25 | 8 | | 26 | 10 | | 27 | 23 | | 28 | 7 | | 29 | 12 | | 30 | 16 | | 31 | 6 | | 32 | 41 | | 33 | 27 | | 34 | 13 | | 35 | 19 | | 36 | 6 | | 37 | 38 | | 38 | 11 | | 39 | 13 | | 40 | 28 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 59 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 116 | | matches | | |
| 80.06% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 91 | | ratio | 0.022 | | matches | | 0 | "The air inside was thick with the scent of old paper and something faintly metallic—like the edge of a blade she’d once left behind." | | 1 | "Aurora turned her head just enough to see the scar on his knuckles—the one she’d given him years ago when they’d fought over something she couldn’t remember." |
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| 93.15% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 669 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.04783258594917788 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.01195814648729447 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 91 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 91 | | mean | 9.57 | | std | 7.14 | | cv | 0.746 | | sampleLengths | | 0 | 13 | | 1 | 24 | | 2 | 25 | | 3 | 22 | | 4 | 5 | | 5 | 24 | | 6 | 20 | | 7 | 12 | | 8 | 12 | | 9 | 7 | | 10 | 3 | | 11 | 3 | | 12 | 5 | | 13 | 14 | | 14 | 20 | | 15 | 17 | | 16 | 4 | | 17 | 27 | | 18 | 3 | | 19 | 5 | | 20 | 23 | | 21 | 2 | | 22 | 5 | | 23 | 16 | | 24 | 5 | | 25 | 3 | | 26 | 4 | | 27 | 17 | | 28 | 4 | | 29 | 9 | | 30 | 2 | | 31 | 18 | | 32 | 6 | | 33 | 3 | | 34 | 7 | | 35 | 13 | | 36 | 5 | | 37 | 13 | | 38 | 10 | | 39 | 4 | | 40 | 6 | | 41 | 4 | | 42 | 6 | | 43 | 2 | | 44 | 26 | | 45 | 28 | | 46 | 16 | | 47 | 5 | | 48 | 7 | | 49 | 3 |
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| 45.60% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.25274725274725274 | | totalSentences | 91 | | uniqueOpeners | 23 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 59 | | matches | | 0 | "Then the door swung inward." | | 1 | "Instead, she reached for the" | | 2 | "Then, slowly, Aurora reached up" | | 3 | "Instead, he leaned in, his" |
| | ratio | 0.068 | |
| 50.51% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 59 | | matches | | 0 | "She didn’t move, just stood" | | 1 | "His heterochromatic eyes locked onto" | | 2 | "He exhaled slowly, as if" | | 3 | "he said, his voice low" | | 4 | "She didn’t flinch." | | 5 | "she admitted, her voice quieter" | | 6 | "She swallowed hard." | | 7 | "He stepped closer, the cane" | | 8 | "She didn’t answer right away." | | 9 | "she said, her voice steady" | | 10 | "He scoffed, but there was" | | 11 | "She turned, walking toward the" | | 12 | "she shot back, her voice" | | 13 | "He reached out, his fingers" | | 14 | "he said, his voice rough" | | 15 | "she asked, her fingers tracing" | | 16 | "he said, his voice low" | | 17 | "She exhaled sharply, her chest" | | 18 | "he said, his voice firm" | | 19 | "She looked away, her fingers" |
| | ratio | 0.424 | |
| 27.80% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 59 | | matches | | 0 | "The door creaked open before" | | 1 | "The air inside was thick" | | 2 | "The flat was dim, the" | | 3 | "She didn’t move, just stood" | | 4 | "Lucien stood there, his tailored" | | 5 | "His heterochromatic eyes locked onto" | | 6 | "He exhaled slowly, as if" | | 7 | "he said, his voice low" | | 8 | "She didn’t flinch." | | 9 | "she admitted, her voice quieter" | | 10 | "The flat felt suddenly too" | | 11 | "Lucien’s lips twisted into something" | | 12 | "Aurora turned her head just" | | 13 | "She swallowed hard." | | 14 | "He stepped closer, the cane" | | 15 | "She didn’t answer right away." | | 16 | "Lucien’s expression darkened." | | 17 | "she said, her voice steady" | | 18 | "He scoffed, but there was" | | 19 | "She turned, walking toward the" |
| | ratio | 0.864 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 59 | | matches | (empty) | | ratio | 0 | |
| 89.95% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 2 | | matches | | 0 | "The flat felt suddenly too small, the air too tight, as if the walls were closing in around them both." | | 1 | "He kissed her then, slow and deep, his hands cradling her face as if he could memorize every inch of her." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 10 | | matches | | 0 | "he said, his voice low and smooth, like velvet over steel" | | 1 | "she admitted, her voice quieter than she meant it to be" | | 2 | "she said, her voice steady despite the way her throat felt raw" | | 3 | "she shot back, her voice rising just a little" | | 4 | "he said, his voice rough" | | 5 | "she asked, her fingers tracing the edge of a leather-bound journal" | | 6 | "he said, his voice low" | | 7 | "he said, his voice firm" | | 8 | "he said, his voice rough" | | 9 | "she said, her voice barely above a whisper" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 42 | | tagDensity | 0.214 | | leniency | 0.429 | | rawRatio | 0.111 | | effectiveRatio | 0.048 | |