| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 2 | | adverbTags | | 0 | "Eva said finally [finally]" | | 1 | "she said softly [softly]" |
| | dialogueSentences | 72 | | tagDensity | 0.264 | | leniency | 0.528 | | rawRatio | 0.105 | | effectiveRatio | 0.056 | |
| 84.85% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1320 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slowly" | | 1 | "softly" | | 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) | |
| 50.76% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1320 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "flicked" | | 1 | "silence" | | 2 | "familiar" | | 3 | "tension" | | 4 | "methodical" | | 5 | "weight" | | 6 | "jaw clenched" | | 7 | "warmth" | | 8 | "traced" |
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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 | 0 | | narrationSentences | 107 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 107 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 158 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 5 | | markdownWords | 5 | | totalWords | 1316 | | ratio | 0.004 | | matches | | 0 | "him" | | 1 | "my" | | 2 | "him" | | 3 | "you" | | 4 | "you" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 25 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 62 | | wordCount | 669 | | uniqueNames | 5 | | maxNameDensity | 4.93 | | worstName | "Eva" | | maxWindowNameDensity | 7 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 33 | | Ptolemy | 2 | | Aurora | 25 | | Cardiff | 1 | | Soft | 1 |
| | persons | | 0 | "Eva" | | 1 | "Ptolemy" | | 2 | "Aurora" |
| | places | | | globalScore | 0 | | windowScore | 0 | |
| 91.86% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | glossingSentenceCount | 1 | | matches | | 0 | "something between disbelief and dread" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.76 | | wordCount | 1316 | | matches | | 0 | "not just from touch, but from something deeper" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 158 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 87 | | mean | 15.13 | | std | 16.05 | | cv | 1.061 | | sampleLengths | | 0 | 47 | | 1 | 4 | | 2 | 19 | | 3 | 12 | | 4 | 20 | | 5 | 78 | | 6 | 7 | | 7 | 9 | | 8 | 10 | | 9 | 37 | | 10 | 9 | | 11 | 25 | | 12 | 5 | | 13 | 15 | | 14 | 11 | | 15 | 4 | | 16 | 19 | | 17 | 1 | | 18 | 34 | | 19 | 5 | | 20 | 33 | | 21 | 9 | | 22 | 17 | | 23 | 33 | | 24 | 3 | | 25 | 3 | | 26 | 28 | | 27 | 10 | | 28 | 1 | | 29 | 5 | | 30 | 3 | | 31 | 12 | | 32 | 2 | | 33 | 49 | | 34 | 9 | | 35 | 8 | | 36 | 42 | | 37 | 3 | | 38 | 10 | | 39 | 13 | | 40 | 19 | | 41 | 13 | | 42 | 22 | | 43 | 6 | | 44 | 81 | | 45 | 7 | | 46 | 4 | | 47 | 6 | | 48 | 48 | | 49 | 7 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 107 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 135 | | matches | (empty) | |
| 70.52% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 158 | | ratio | 0.025 | | matches | | 0 | "But the way Eva’s breath caught—the sudden stillness in her shoulders—told her everything." | | 1 | "The ritual of it — filling the kettle, pulling down two mismatched mugs — eased the tension by degrees." | | 2 | "Warmth spread up Aurora’s arm, not just from touch, but from something deeper—recognition, maybe." | | 3 | "Not like before—frenzied, desperate, lit by the recklessness of youth." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 673 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.03268945022288262 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.007429420505200594 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 158 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 158 | | mean | 8.33 | | std | 7.99 | | cv | 0.959 | | sampleLengths | | 0 | 11 | | 1 | 18 | | 2 | 18 | | 3 | 4 | | 4 | 6 | | 5 | 13 | | 6 | 12 | | 7 | 7 | | 8 | 6 | | 9 | 7 | | 10 | 3 | | 11 | 2 | | 12 | 2 | | 13 | 2 | | 14 | 23 | | 15 | 14 | | 16 | 21 | | 17 | 11 | | 18 | 7 | | 19 | 5 | | 20 | 4 | | 21 | 6 | | 22 | 4 | | 23 | 3 | | 24 | 9 | | 25 | 5 | | 26 | 20 | | 27 | 9 | | 28 | 10 | | 29 | 15 | | 30 | 5 | | 31 | 5 | | 32 | 10 | | 33 | 2 | | 34 | 9 | | 35 | 4 | | 36 | 2 | | 37 | 17 | | 38 | 1 | | 39 | 34 | | 40 | 5 | | 41 | 8 | | 42 | 25 | | 43 | 9 | | 44 | 17 | | 45 | 3 | | 46 | 9 | | 47 | 15 | | 48 | 6 | | 49 | 3 |
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| 59.49% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.379746835443038 | | totalSentences | 158 | | uniqueOpeners | 60 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 79 | | matches | | 0 | "Then the door stopped." | | 1 | "Then, gently, she turned Aurora’s" | | 2 | "Just an inch." |
| | ratio | 0.038 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 79 | | matches | | 0 | "Her knuckles tightened around the" | | 1 | "Her dark hair was pulled" | | 2 | "Her boots left damp smudges" | | 3 | "She flexed her left wrist," | | 4 | "She turned away, arms folding" | | 5 | "Her and Eva, years ago," | | 6 | "She hadn’t seen it in" | | 7 | "She poured, handed Aurora a" | | 8 | "Their fingers didn’t touch." | | 9 | "They sat on the couch," | | 10 | "It carried weight." | | 11 | "Her voice faltered" | | 12 | "She reached out, slow, and" | | 13 | "Her thumb brushed the crescent-shaped" | | 14 | "she said softly" |
| | ratio | 0.19 | |
| 48.61% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 79 | | matches | | 0 | "The chain on the door" | | 1 | "Aurora froze in the dim" | | 2 | "The moment Eva’s front door" | | 3 | "Aurora hadn’t spoken her name" | | 4 | "Eva’s voice was low, laced" | | 5 | "Her knuckles tightened around the" | | 6 | "Eva studied her." | | 7 | "Her dark hair was pulled" | | 8 | "Books spilled from shelves, scrolls" | | 9 | "The scent of turmeric and" | | 10 | "Eva said finally" | | 11 | "Aurora smiled, small and brittle." | | 12 | "Eva stepped back, releasing the" | | 13 | "The door swung wide." | | 14 | "Aurora stepped in." | | 15 | "Ptolemy circled her ankles, then" | | 16 | "The latch clicked behind her." | | 17 | "Aurora said, nodding at the" | | 18 | "Eva muttered, tossing the scroll" | | 19 | "Eva shot back" |
| | ratio | 0.823 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 79 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 98.68% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 1 | | matches | | 0 | "Eva stepped, voice sharpening" |
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| 94.44% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 4 | | fancyTags | | 0 | "Eva muttered (mutter)" | | 1 | "Her voice faltered (falter)" | | 2 | "Eva whispered (whisper)" | | 3 | "she whispered (whisper)" |
| | dialogueSentences | 72 | | tagDensity | 0.194 | | leniency | 0.389 | | rawRatio | 0.286 | | effectiveRatio | 0.111 | |