| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 1 | | adverbTags | | 0 | "Aurora said softly [softly]" |
| | dialogueSentences | 30 | | tagDensity | 0.433 | | leniency | 0.867 | | rawRatio | 0.077 | | effectiveRatio | 0.067 | |
| 78.24% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 919 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "very" | | 1 | "softly" | | 2 | "slightly" | | 3 | "carefully" |
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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) | |
| 34.71% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 919 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "chill" | | 1 | "flickered" | | 2 | "weight" | | 3 | "echoed" | | 4 | "tension" | | 5 | "silence" | | 6 | "velvet" | | 7 | "navigating" | | 8 | "unspoken" | | 9 | "warmth" | | 10 | "racing" |
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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 | 57 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 57 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 75 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 919 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 9.74% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 606 | | uniqueNames | 8 | | maxNameDensity | 2.81 | | worstName | "Aurora" | | maxWindowNameDensity | 4 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 17 | | December | 1 | | Eva | 12 | | Ptolemy | 2 | | Evan | 1 | | Silas | 1 | | Yu-Fei | 1 | | London | 2 |
| | persons | | 0 | "Aurora" | | 1 | "Eva" | | 2 | "Ptolemy" | | 3 | "Evan" | | 4 | "Silas" |
| | places | | | globalScore | 0.097 | | windowScore | 0.333 | |
| 36.36% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 44 | | glossingSentenceCount | 2 | | matches | | 0 | "as if expecting someone else to appear" | | 1 | "felt like a weight pressing against her" |
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| 91.19% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.088 | | wordCount | 919 | | matches | | 0 | "not just recognition, but something deeper, more complicated" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 75 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 27.03 | | std | 14.37 | | cv | 0.532 | | sampleLengths | | 0 | 37 | | 1 | 57 | | 2 | 11 | | 3 | 21 | | 4 | 23 | | 5 | 39 | | 6 | 1 | | 7 | 28 | | 8 | 17 | | 9 | 20 | | 10 | 36 | | 11 | 22 | | 12 | 13 | | 13 | 16 | | 14 | 48 | | 15 | 17 | | 16 | 59 | | 17 | 15 | | 18 | 57 | | 19 | 28 | | 20 | 28 | | 21 | 32 | | 22 | 7 | | 23 | 23 | | 24 | 39 | | 25 | 34 | | 26 | 29 | | 27 | 8 | | 28 | 19 | | 29 | 39 | | 30 | 33 | | 31 | 10 | | 32 | 17 | | 33 | 36 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 57 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 105 | | matches | | |
| 28.57% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 75 | | ratio | 0.04 | | matches | | 0 | "Her eyes landed on Aurora — not just recognition, but something deeper, more complicated." | | 1 | "Aurora did — sparing nothing." | | 2 | "Aurora swallowed, her mind racing with images of that night—how she’d shown up at Silas' bar in tears, begging for help." |
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| 94.66% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 564 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.04609929078014184 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.008865248226950355 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 75 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 75 | | mean | 12.25 | | std | 7.29 | | cv | 0.595 | | sampleLengths | | 0 | 18 | | 1 | 19 | | 2 | 29 | | 3 | 14 | | 4 | 14 | | 5 | 11 | | 6 | 21 | | 7 | 9 | | 8 | 14 | | 9 | 9 | | 10 | 4 | | 11 | 26 | | 12 | 1 | | 13 | 9 | | 14 | 19 | | 15 | 17 | | 16 | 20 | | 17 | 4 | | 18 | 32 | | 19 | 8 | | 20 | 14 | | 21 | 13 | | 22 | 2 | | 23 | 14 | | 24 | 22 | | 25 | 17 | | 26 | 9 | | 27 | 11 | | 28 | 6 | | 29 | 8 | | 30 | 20 | | 31 | 14 | | 32 | 17 | | 33 | 12 | | 34 | 3 | | 35 | 5 | | 36 | 31 | | 37 | 21 | | 38 | 8 | | 39 | 12 | | 40 | 8 | | 41 | 16 | | 42 | 12 | | 43 | 16 | | 44 | 16 | | 45 | 7 | | 46 | 11 | | 47 | 12 | | 48 | 8 | | 49 | 11 |
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| 77.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.48 | | totalSentences | 75 | | uniqueOpeners | 36 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 52 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 9 | | totalSentences | 52 | | matches | | 0 | "Her eyes landed on Aurora" | | 1 | "She took a breath." | | 2 | "Her voice softened just a" | | 3 | "They both turned toward the" | | 4 | "He yowled once, his tail" | | 5 | "It was home, but the" | | 6 | "She spoke of the night" | | 7 | "Their history stretched between them," | | 8 | "Their fingers touched, hesitant at" |
| | ratio | 0.173 | |
| 36.92% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 44 | | totalSentences | 52 | | matches | | 0 | "The door to the one-bedroom" | | 1 | "The scent of cardamom and" | | 2 | "Eva stood in the doorway," | | 3 | "Her eyes landed on Aurora" | | 4 | "A shadow of hurt flickered" | | 5 | "Aurora began, holding up her" | | 6 | "Eva crossed her arms, blocking" | | 7 | "Aurora bristled at the memory," | | 8 | "She took a breath." | | 9 | "Her voice softened just a" | | 10 | "Aurora stepped closer, close enough" | | 11 | "Eva looked past her shoulder" | | 12 | "Aurora shook her head." | | 13 | "Eva leaned against the doorframe," | | 14 | "Aurora said softly" | | 15 | "The truth of it, spoken" | | 16 | "Eva’s lips parted slightly, but" | | 17 | "They both turned toward the" | | 18 | "He yowled once, his tail" | | 19 | "Eva gave a dry chuckle," |
| | ratio | 0.846 | |
| 96.15% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 52 | | matches | | 0 | "Now, it was different." |
| | ratio | 0.019 | |
| 45.45% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 3 | | matches | | 0 | "Eva stood in the doorway, barefoot and wrapped in a threadbare quilt, her black hair a wild halo of curls around a face that was both wary and curious." | | 1 | "They both turned toward the source, Ptolemy the tabby cat appearing as if summoned by their tension." | | 2 | "Apologies, explanations, confessions that had never made it beyond the fire." |
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| 86.54% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 1 | | matches | | 0 | "Aurora admitted, her voice steady despite the storm inside her" |
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| 50.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 3 | | fancyTags | | 0 | "Eva pressed (press)" | | 1 | "Aurora admitted (admit)" | | 2 | "Aurora whispered (whisper)" |
| | dialogueSentences | 30 | | tagDensity | 0.267 | | leniency | 0.533 | | rawRatio | 0.375 | | effectiveRatio | 0.2 | |