| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.125 | | leniency | 0.25 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.41% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 863 | | totalAiIsmAdverbs | 2 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 1 |
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| | highlights | | 0 | "utterly" | | 1 | "barely above a whisper" |
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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) | |
| 13.09% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 863 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "scanned" | | 1 | "familiar" | | 2 | "pang" | | 3 | "pounding" | | 4 | "silence" | | 5 | "oppressive" | | 6 | "weight" | | 7 | "unspoken" | | 8 | "tension" | | 9 | "whisper" | | 10 | "depths" | | 11 | "sense of" | | 12 | "trepidation" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 79.95% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 37 | | matches | | 0 | "a pang of sadness" | | 1 | "a sense of trepidation" |
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| 65.64% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 37 | | filterMatches | (empty) | | hedgeMatches | | 0 | "happened to" | | 1 | "begin to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 44 | | 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 | 0 | | markdownWords | 0 | | totalWords | 863 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 1 | | matches | | 0 | "Finally, Eva spoke up, her voice barely above a whisper." |
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| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 46 | | wordCount | 777 | | uniqueNames | 9 | | maxNameDensity | 2.57 | | worstName | "Eva" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Eva" | | discoveredNames | | Golden | 1 | | Empress | 1 | | Raven | 1 | | Nest | 1 | | Rory | 18 | | Eva | 20 | | Jack | 1 | | Guinness | 1 | | Silas | 2 |
| | persons | | 0 | "Rory" | | 1 | "Eva" | | 2 | "Jack" | | 3 | "Silas" |
| | places | | | globalScore | 0.213 | | windowScore | 0.167 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 37 | | glossingSentenceCount | 3 | | matches | | 0 | "seemed dull and lifeless, like two stones worn smooth by the constant buffeting of the sea" | | 1 | "felt like an eternity, the two women si" | | 2 | "felt like she was staring into the face" |
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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 | 863 | | matches | (empty) | |
| 90.91% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 44 | | matches | | |
| 98.24% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 18 | | mean | 47.94 | | std | 23.68 | | cv | 0.494 | | sampleLengths | | 0 | 97 | | 1 | 83 | | 2 | 84 | | 3 | 61 | | 4 | 41 | | 5 | 36 | | 6 | 17 | | 7 | 23 | | 8 | 22 | | 9 | 43 | | 10 | 39 | | 11 | 43 | | 12 | 36 | | 13 | 23 | | 14 | 21 | | 15 | 60 | | 16 | 62 | | 17 | 72 |
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| 95.78% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 37 | | matches | | |
| 43.75% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 128 | | matches | | 0 | "was polishing" | | 1 | "was already drifting" | | 2 | "was staring" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 44 | | ratio | 0 | | matches | (empty) | |
| 96.76% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 778 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.043701799485861184 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.015424164524421594 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 44 | | echoCount | 0 | | echoWords | (empty) | |
| 79.29% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 44 | | mean | 19.61 | | std | 6.83 | | cv | 0.348 | | sampleLengths | | 0 | 21 | | 1 | 30 | | 2 | 22 | | 3 | 24 | | 4 | 23 | | 5 | 19 | | 6 | 18 | | 7 | 23 | | 8 | 24 | | 9 | 27 | | 10 | 33 | | 11 | 29 | | 12 | 32 | | 13 | 16 | | 14 | 25 | | 15 | 20 | | 16 | 16 | | 17 | 13 | | 18 | 4 | | 19 | 13 | | 20 | 10 | | 21 | 13 | | 22 | 9 | | 23 | 16 | | 24 | 27 | | 25 | 24 | | 26 | 15 | | 27 | 25 | | 28 | 18 | | 29 | 10 | | 30 | 26 | | 31 | 12 | | 32 | 11 | | 33 | 11 | | 34 | 10 | | 35 | 21 | | 36 | 23 | | 37 | 16 | | 38 | 18 | | 39 | 19 | | 40 | 25 | | 41 | 17 | | 42 | 27 | | 43 | 28 |
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| 59.85% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.38636363636363635 | | totalSentences | 44 | | uniqueOpeners | 17 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 37 | | matches | | 0 | "Finally, Eva turned, her eyes" | | 1 | "Finally, Eva spoke up, her" |
| | ratio | 0.054 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 7 | | totalSentences | 37 | | matches | | 0 | "She had just finished a" | | 1 | "He nodded in greeting, but" | | 2 | "It was Eva, her childhood" | | 3 | "Her hair, once a wild" | | 4 | "They stood there, frozen in" | | 5 | "She had lost touch with" | | 6 | "She had no idea how" |
| | ratio | 0.189 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 22 | | totalSentences | 37 | | matches | | 0 | "Rory's eyes scanned the dimly" | | 1 | "She had just finished a" | | 2 | "Silas, the owner, was polishing" | | 3 | "He nodded in greeting, but" | | 4 | "It was Eva, her childhood" | | 5 | "Eva's eyes, once a deep," | | 6 | "Her hair, once a wild" | | 7 | "Rory felt a pang of" | | 8 | "The barman, a gruff but" | | 9 | "Rory's heart swelled with emotion" | | 10 | "They stood there, frozen in" | | 11 | "Eva whispered, her voice barely" | | 12 | "Rory nodded, her throat constricting" | | 13 | "Eva's smile faltered, and she" | | 14 | "The silence that followed was" | | 15 | "Rory felt like she was" | | 16 | "Rory nodded, grateful for the" | | 17 | "Rory's hand shot out, covering" | | 18 | "Eva's eyes met hers, a" | | 19 | "The Eva she had once" |
| | ratio | 0.595 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 37 | | matches | (empty) | | ratio | 0 | |
| 3.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 7 | | matches | | 0 | "Silas, the owner, was polishing a mug with a white cloth, his eyes crinkling at the corners as he caught her gaze." | | 1 | "It was Eva, her childhood friend, her confidante, the person who had once known her better than anyone." | | 2 | "But the bright, mischievous spark that had once defined Eva was gone, replaced by a haunted, world-weary look that made Rory's chest ache." | | 3 | "Her hair, once a wild tangle of curly brown locks, was now a neat, mousy bob, framing a face that was both familiar and yet, utterly foreign." | | 4 | "The silence that followed was oppressive, heavy with the weight of unspoken regret and unresolved tension." | | 5 | "Rory's hand shot out, covering Eva's, her eyes welling up with tears." | | 6 | "For their friendship, for the memories they had shared, and for the sake of the Eva who was still in there, somewhere, struggling to find her way back." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 1 | | matches | | 0 | "Eva whispered, her voice barely audible over the pounding of Rory's heart" |
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| 25.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "Eva whispered (whisper)" |
| | dialogueSentences | 8 | | tagDensity | 0.125 | | leniency | 0.25 | | rawRatio | 1 | | effectiveRatio | 0.25 | |