| 40.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 2 | | adverbTags | | 0 | "she said softly [softly]" | | 1 | "he said finally [finally]" |
| | dialogueSentences | 25 | | tagDensity | 0.28 | | leniency | 0.56 | | rawRatio | 0.286 | | effectiveRatio | 0.16 | |
| 82.82% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 873 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "softly" | | 1 | "truly" | | 2 | "carefully" |
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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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 873 | | totalAiIsms | 20 | | found | | 0 | | | 1 | | | 2 | | | 3 | | word | "skipped a beat" | | count | 1 |
| | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | |
| | highlights | | 0 | "gleaming" | | 1 | "scanning" | | 2 | "familiar" | | 3 | "skipped a beat" | | 4 | "depths" | | 5 | "pounding" | | 6 | "racing" | | 7 | "tension" | | 8 | "eyebrow" | | 9 | "desire" | | 10 | "flicker" | | 11 | "reminder" | | 12 | "pang" | | 13 | "measured" | | 14 | "echoed" | | 15 | "crystal" |
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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 | "couldn't help but" | | count | 1 |
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| | highlights | | 0 | "eyes widened" | | 1 | "couldn't help but wonder" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 54 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 54 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 72 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 865 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 61.43% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 621 | | uniqueNames | 5 | | maxNameDensity | 1.77 | | worstName | "Silas" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Fabergé | 1 | | Silas | 11 | | Maria | 5 |
| | persons | | | places | (empty) | | globalScore | 0.614 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 44 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 865 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 72 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 28.83 | | std | 14.53 | | cv | 0.504 | | sampleLengths | | 0 | 55 | | 1 | 51 | | 2 | 41 | | 3 | 37 | | 4 | 13 | | 5 | 31 | | 6 | 22 | | 7 | 12 | | 8 | 10 | | 9 | 49 | | 10 | 14 | | 11 | 24 | | 12 | 13 | | 13 | 10 | | 14 | 36 | | 15 | 27 | | 16 | 5 | | 17 | 33 | | 18 | 20 | | 19 | 41 | | 20 | 25 | | 21 | 35 | | 22 | 15 | | 23 | 20 | | 24 | 34 | | 25 | 31 | | 26 | 57 | | 27 | 31 | | 28 | 19 | | 29 | 54 |
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| 85.77% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 54 | | matches | | 0 | "were unchanged" | | 1 | "was gone" | | 2 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 114 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 72 | | ratio | 0.069 | | matches | | 0 | "But her eyes, those piercing blue eyes, were unchanged—full of secrets and hidden depths." | | 1 | "Heaving himself off his barstool—the knee injury still plagued him on damp nights like this—Silas limped towards her table, his heart pounding in his chest." | | 2 | "For a moment, a gamut of emotions flashed across her face—recognition, shock, fear, maybe even longing." | | 3 | "He had imagined this moment so many times over the years—moments of confrontation and recrimination, of accusations and denials." | | 4 | "But one thing was certain—whatever lay in store, he wouldn't face it alone." |
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| 98.77% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 628 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.041401273885350316 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.01592356687898089 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 72 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 72 | | mean | 12.01 | | std | 6.37 | | cv | 0.53 | | sampleLengths | | 0 | 15 | | 1 | 25 | | 2 | 15 | | 3 | 8 | | 4 | 5 | | 5 | 3 | | 6 | 16 | | 7 | 19 | | 8 | 8 | | 9 | 19 | | 10 | 14 | | 11 | 7 | | 12 | 5 | | 13 | 25 | | 14 | 9 | | 15 | 4 | | 16 | 4 | | 17 | 16 | | 18 | 11 | | 19 | 12 | | 20 | 10 | | 21 | 10 | | 22 | 2 | | 23 | 6 | | 24 | 4 | | 25 | 8 | | 26 | 9 | | 27 | 11 | | 28 | 21 | | 29 | 10 | | 30 | 4 | | 31 | 10 | | 32 | 14 | | 33 | 13 | | 34 | 4 | | 35 | 6 | | 36 | 9 | | 37 | 27 | | 38 | 13 | | 39 | 14 | | 40 | 5 | | 41 | 16 | | 42 | 17 | | 43 | 10 | | 44 | 10 | | 45 | 7 | | 46 | 19 | | 47 | 15 | | 48 | 11 | | 49 | 14 |
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| 73.61% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.4583333333333333 | | totalSentences | 72 | | uniqueOpeners | 33 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 51 | | matches | (empty) | | ratio | 0 | |
| 70.98% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 51 | | matches | | 0 | "His heart skipped a beat." | | 1 | "It couldn't be..." | | 2 | "She was even more stunning" | | 3 | "Her auburn hair, once wild" | | 4 | "He couldn't avoid her indefinitely." | | 5 | "he said, his voice steadier" | | 6 | "She looked up, startled." | | 7 | "she replied, her voice as" | | 8 | "He nodded, gesturing to the" | | 9 | "She shrugged, a vague, dismissive" | | 10 | "he offered, hoping to break" | | 11 | "She raised an eyebrow." | | 12 | "She met his gaze, her" | | 13 | "she said softly" | | 14 | "He had imagined this moment" | | 15 | "She was silent for a" | | 16 | "He knew there was no" | | 17 | "he said finally, draining the" | | 18 | "They touched glasses, the crystal" |
| | ratio | 0.373 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 34 | | totalSentences | 51 | | matches | | 0 | "The dimly lit interior of" | | 1 | "The old photographs and maps" | | 2 | "Silas surveyed his domain from" | | 3 | "A flash of familiar auburn" | | 4 | "His heart skipped a beat." | | 5 | "It couldn't be..." | | 6 | "Maria, his former partner and" | | 7 | "She was even more stunning" | | 8 | "Her auburn hair, once wild" | | 9 | "Silas took a deep breath," | | 10 | "He couldn't avoid her indefinitely." | | 11 | "he said, his voice steadier" | | 12 | "She looked up, startled." | | 13 | "she replied, her voice as" | | 14 | "He nodded, gesturing to the" | | 15 | "She shrugged, a vague, dismissive" | | 16 | "Silas settled into the chair," | | 17 | "he offered, hoping to break" | | 18 | "A wry smile tugged at" | | 19 | "She raised an eyebrow." |
| | ratio | 0.667 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 51 | | matches | (empty) | | ratio | 0 | |
| 68.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 3 | | matches | | 0 | "Her auburn hair, once wild and unruly, was now cut in a sharp, fashionable bob that framed her face." | | 1 | "Heaving himself off his barstool—the knee injury still plagued him on damp nights like this—Silas limped towards her table, his heart pounding in his chest." | | 2 | "When she finally spoke, her voice was low and measured, as if carefully considering each word." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 2 | | matches | | 0 | "he said, his voice steadier than he felt" | | 1 | "he offered, hoping to break the tension" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 25 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.2 | | effectiveRatio | 0.08 | |