| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 27 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 70 | | tagDensity | 0.386 | | leniency | 0.771 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.29% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1400 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "very" | | 1 | "slightly" | | 2 | "suddenly" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 78.57% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1400 | | totalAiIsms | 6 | | found | | 0 | | | 1 | | word | "down my spine" | | count | 1 |
| | 2 | | | 3 | | | 4 | | | 5 | |
| | highlights | | 0 | "rhythmic" | | 1 | "down my spine" | | 2 | "silence" | | 3 | "calculating" | | 4 | "stomach" | | 5 | "familiar" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "hung in the air" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 72 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 72 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 115 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1400 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 845 | | uniqueNames | 9 | | maxNameDensity | 2.13 | | worstName | "Gwen" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Gwen" | | discoveredNames | | Italian | 1 | | Cardiff | 2 | | Welsh | 1 | | Gwen | 18 | | French | 1 | | Raven | 1 | | Nest | 1 | | Silas | 7 | | Evan | 2 |
| | persons | | 0 | "Gwen" | | 1 | "Raven" | | 2 | "Nest" | | 3 | "Silas" | | 4 | "Evan" |
| | places | | | globalScore | 0.435 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like a dead world, a damp Welsh me" |
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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 | 1400 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 115 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 67 | | mean | 20.9 | | std | 19.06 | | cv | 0.912 | | sampleLengths | | 0 | 7 | | 1 | 31 | | 2 | 10 | | 3 | 7 | | 4 | 1 | | 5 | 39 | | 6 | 79 | | 7 | 17 | | 8 | 35 | | 9 | 4 | | 10 | 20 | | 11 | 22 | | 12 | 39 | | 13 | 7 | | 14 | 36 | | 15 | 40 | | 16 | 2 | | 17 | 8 | | 18 | 36 | | 19 | 6 | | 20 | 6 | | 21 | 3 | | 22 | 48 | | 23 | 2 | | 24 | 6 | | 25 | 78 | | 26 | 6 | | 27 | 2 | | 28 | 2 | | 29 | 77 | | 30 | 15 | | 31 | 9 | | 32 | 37 | | 33 | 18 | | 34 | 9 | | 35 | 19 | | 36 | 7 | | 37 | 14 | | 38 | 12 | | 39 | 33 | | 40 | 10 | | 41 | 55 | | 42 | 4 | | 43 | 39 | | 44 | 20 | | 45 | 5 | | 46 | 36 | | 47 | 5 | | 48 | 22 | | 49 | 17 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 72 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 132 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 115 | | ratio | 0.009 | | matches | | 0 | "She did not hand it to me; she placed it on the counter, right in the wet ring left by her glass." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 851 | | adjectiveStacks | 2 | | stackExamples | | 0 | "smart long new beige" | | 1 | "small crescent-shaped scar" |
| | adverbCount | 15 | | adverbRatio | 0.01762632197414806 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.004700352526439483 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 115 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 115 | | mean | 12.17 | | std | 7.7 | | cv | 0.632 | | sampleLengths | | 0 | 7 | | 1 | 12 | | 2 | 19 | | 3 | 10 | | 4 | 7 | | 5 | 1 | | 6 | 23 | | 7 | 16 | | 8 | 19 | | 9 | 29 | | 10 | 6 | | 11 | 25 | | 12 | 12 | | 13 | 5 | | 14 | 20 | | 15 | 15 | | 16 | 4 | | 17 | 13 | | 18 | 7 | | 19 | 7 | | 20 | 15 | | 21 | 14 | | 22 | 25 | | 23 | 7 | | 24 | 16 | | 25 | 20 | | 26 | 7 | | 27 | 20 | | 28 | 11 | | 29 | 2 | | 30 | 2 | | 31 | 8 | | 32 | 13 | | 33 | 23 | | 34 | 6 | | 35 | 6 | | 36 | 3 | | 37 | 24 | | 38 | 24 | | 39 | 2 | | 40 | 6 | | 41 | 20 | | 42 | 19 | | 43 | 6 | | 44 | 16 | | 45 | 17 | | 46 | 6 | | 47 | 2 | | 48 | 2 | | 49 | 6 |
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| 54.78% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.3652173913043478 | | totalSentences | 115 | | uniqueOpeners | 42 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 56.07% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 61 | | matches | | 0 | "I did not drop it," | | 1 | "She slid onto the tall" | | 2 | "She had not changed at" | | 3 | "I said, putting the bottle" | | 4 | "Her eyes grazed the room" | | 5 | "She did not look at" | | 6 | "I rubbed my hand against" | | 7 | "She took a cautious sip" | | 8 | "I touched the small crescent-shaped" | | 9 | "I liked the silence of" | | 10 | "It was a safe house" | | 11 | "His grey-streaked auburn hair was" | | 12 | "His low voice carried a" | | 13 | "My stomach clenched." | | 14 | "She reached into her leather" | | 15 | "She did not hand it" | | 16 | "I stared at the envelope." | | 17 | "His voice remained soft, but" | | 18 | "She picked up her bag," | | 19 | "She turned toward the door," |
| | ratio | 0.41 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 61 | | matches | | 0 | "The heavy glass neck of" | | 1 | "I did not drop it," | | 2 | "She slid onto the tall" | | 3 | "Cardiff felt like a dead" | | 4 | "Gwen sat there like a" | | 5 | "She had not changed at" | | 6 | "I said, putting the bottle" | | 7 | "Her eyes grazed the room" | | 8 | "She did not look at" | | 9 | "I rubbed my hand against" | | 10 | "Gwen laughed, a short, sharp" | | 11 | "She took a cautious sip" | | 12 | "A cold shiver ran down" | | 13 | "I touched the small crescent-shaped" | | 14 | "The skin there always felt" | | 15 | "The words dropped like lead" | | 16 | "Gwen continued, her voice dripping" | | 17 | "Gwen leaned closer, the scent" | | 18 | "The green neon sign outside" | | 19 | "The Raven's Nest always smelled" |
| | ratio | 0.951 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 93.60% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 2 | | matches | | 0 | "Same glossy dark bob, same sharp chin, same haughty sniff that made everyone else in the lecture hall feel like dirt beneath her designer boots." | | 1 | "His voice remained soft, but it carried a razor-sharp edge that made Gwen's breath hitch." |
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| 13.89% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 27 | | uselessAdditionCount | 6 | | matches | | 0 | "She took, her lips curling slightly at the burn" | | 1 | "Gwen continued, her voice dripping with artificial sympathy" | | 2 | "Gwen said, her voice sharpening" | | 3 | "Gwen stood up, her coat swinging" | | 4 | "I called out, my voice steady despite the hammer of my chest" | | 5 | "Gwen whispered, her voice suddenly trembling as she shuffled behind him" |
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| 92.86% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 18 | | fancyCount | 4 | | fancyTags | | 0 | "Gwen laughed (laugh)" | | 1 | "Gwen continued (continue)" | | 2 | "I called out (call out)" | | 3 | "Gwen whispered (whisper)" |
| | dialogueSentences | 70 | | tagDensity | 0.257 | | leniency | 0.514 | | rawRatio | 0.222 | | effectiveRatio | 0.114 | |