| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said quietly [quietly]" |
| | dialogueSentences | 42 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.071 | | effectiveRatio | 0.048 | |
| 89.96% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1494 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | |
| 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) | |
| 43.11% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1494 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "trembled" | | 1 | "glint" | | 2 | "sense of" | | 3 | "echoing" | | 4 | "silence" | | 5 | "lilt" | | 6 | "tension" | | 7 | "warmth" | | 8 | "sanctuary" | | 9 | "palpable" | | 10 | "encounter" | | 11 | "could feel" | | 12 | "stark" | | 13 | "traced" | | 14 | "whisper" | | 15 | "stomach" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 111 | | matches | (empty) | |
| 91.38% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 111 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 138 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1493 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 1190 | | uniqueNames | 10 | | maxNameDensity | 1.09 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Marseille | 1 | | London | 1 | | Cardiff | 1 | | Evan | 1 | | Aurora | 13 | | Lucien | 10 | | Brendan | 1 | | Lane | 1 | | French | 1 | | Ptolemy | 2 |
| | persons | | 0 | "Evan" | | 1 | "Aurora" | | 2 | "Lucien" | | 3 | "Brendan" | | 4 | "Ptolemy" |
| | places | | 0 | "Marseille" | | 1 | "London" | | 2 | "Cardiff" | | 3 | "Lane" |
| | globalScore | 0.954 | | windowScore | 0.833 | |
| 89.02% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 82 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like one" | | 1 | "quite reach his eyes" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.67 | | wordCount | 1493 | | matches | | 0 | "not as a sound, but as a vibration" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 138 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 29.86 | | std | 20.68 | | cv | 0.693 | | sampleLengths | | 0 | 64 | | 1 | 84 | | 2 | 54 | | 3 | 17 | | 4 | 80 | | 5 | 19 | | 6 | 22 | | 7 | 31 | | 8 | 24 | | 9 | 60 | | 10 | 3 | | 11 | 60 | | 12 | 14 | | 13 | 32 | | 14 | 33 | | 15 | 13 | | 16 | 4 | | 17 | 26 | | 18 | 7 | | 19 | 17 | | 20 | 49 | | 21 | 6 | | 22 | 2 | | 23 | 9 | | 24 | 27 | | 25 | 41 | | 26 | 61 | | 27 | 12 | | 28 | 32 | | 29 | 1 | | 30 | 23 | | 31 | 39 | | 32 | 1 | | 33 | 26 | | 34 | 26 | | 35 | 9 | | 36 | 31 | | 37 | 22 | | 38 | 43 | | 39 | 18 | | 40 | 30 | | 41 | 26 | | 42 | 41 | | 43 | 29 | | 44 | 40 | | 45 | 21 | | 46 | 38 | | 47 | 12 | | 48 | 35 | | 49 | 79 |
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| 92.62% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 111 | | matches | | 0 | "was slicked" | | 1 | "was calloused" | | 2 | "was mixed" | | 3 | "was locked" |
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| 35.80% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 203 | | matches | | 0 | "was disorienting" | | 1 | "was drawing" | | 2 | "was thinning" | | 3 | "wasn’t looking" | | 4 | "was still looking" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 138 | | ratio | 0.014 | | matches | | 0 | "He didn’t walk; he glided." | | 1 | "He stopped just inside her personal space, close enough that she could smell him—sandalwood, rain, and something metallic, like ozone before a lightning strike." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1193 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 42 | | adverbRatio | 0.03520536462699078 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.010058675607711651 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 138 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 138 | | mean | 10.82 | | std | 6.03 | | cv | 0.557 | | sampleLengths | | 0 | 25 | | 1 | 10 | | 2 | 4 | | 3 | 12 | | 4 | 4 | | 5 | 9 | | 6 | 15 | | 7 | 10 | | 8 | 13 | | 9 | 7 | | 10 | 12 | | 11 | 2 | | 12 | 3 | | 13 | 22 | | 14 | 5 | | 15 | 21 | | 16 | 10 | | 17 | 4 | | 18 | 14 | | 19 | 13 | | 20 | 4 | | 21 | 6 | | 22 | 22 | | 23 | 25 | | 24 | 10 | | 25 | 17 | | 26 | 3 | | 27 | 16 | | 28 | 5 | | 29 | 5 | | 30 | 12 | | 31 | 16 | | 32 | 15 | | 33 | 10 | | 34 | 14 | | 35 | 2 | | 36 | 22 | | 37 | 13 | | 38 | 2 | | 39 | 4 | | 40 | 17 | | 41 | 3 | | 42 | 16 | | 43 | 5 | | 44 | 24 | | 45 | 15 | | 46 | 5 | | 47 | 9 | | 48 | 16 | | 49 | 12 |
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| 42.03% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.2971014492753623 | | totalSentences | 138 | | uniqueOpeners | 41 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 103 | | matches | (empty) | | ratio | 0 | |
| 21.94% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 51 | | totalSentences | 103 | | matches | | 0 | "She knew the rhythm." | | 1 | "It wasn’t the landlord." | | 2 | "It wasn’t a delivery for" | | 3 | "She set the mug down" | | 4 | "Her hand trembled, just once," | | 5 | "She moved to the door," | | 6 | "She peered through the spyhole." | | 7 | "Her breath hitched, a sharp" | | 8 | "She hadn’t expected him." | | 9 | "She hadn’t expected anyone, really," | | 10 | "She opened the door." | | 11 | "He looked exactly as he" | | 12 | "His hair was slicked back," | | 13 | "His eyes, one amber and" | | 14 | "His voice was low, smooth," | | 15 | "She didn’t step aside" | | 16 | "She didn’t invite him in." | | 17 | "She just stood there, her" | | 18 | "He didn’t care about the" | | 19 | "He didn’t move to enter," |
| | ratio | 0.495 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 96 | | totalSentences | 103 | | matches | | 0 | "The knock came not as" | | 1 | "Aurora froze, the mug of" | | 2 | "She knew the rhythm." | | 3 | "It wasn’t the landlord." | | 4 | "It wasn’t a delivery for" | | 5 | "She set the mug down" | | 6 | "Her hand trembled, just once," | | 7 | "The scar on her left" | | 8 | "A phantom sensation, or perhaps" | | 9 | "She moved to the door," | | 10 | "The metal clicked with satisfying" | | 11 | "She peered through the spyhole." | | 12 | "The hallway light was dim," | | 13 | "Her breath hitched, a sharp" | | 14 | "She hadn’t expected him." | | 15 | "She hadn’t expected anyone, really," | | 16 | "Aurora turned the locks again," | | 17 | "She opened the door." | | 18 | "Lucien stood there, filling the" | | 19 | "He looked exactly as he" |
| | ratio | 0.932 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 103 | | matches | (empty) | | ratio | 0 | |
| 91.84% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 56 | | technicalSentenceCount | 4 | | matches | | 0 | "The knock came not as a sound, but as a vibration that traveled through the floorboards, rattling the stack of encyclopedias teetering on the radiator." | | 1 | "Her breath hitched, a sharp intake that hurt her lungs." | | 2 | "His hair was slicked back, revealing the high, sharp cheekbones that made him look less human and more like a statue carved from cold stone." | | 3 | "They had ended with a silence that had stretched across continents, a mutual agreement to survive by staying apart." |
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| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 2 | | matches | | 0 | "Aurora said, her voice cooler than she felt" | | 1 | "He reached out, his fingers brushing the air near her left wrist" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 42 | | tagDensity | 0.214 | | leniency | 0.429 | | rawRatio | 0 | | effectiveRatio | 0 | |