| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said softly [softly]" |
| | dialogueSentences | 21 | | tagDensity | 0.095 | | leniency | 0.19 | | rawRatio | 0.5 | | effectiveRatio | 0.095 | |
| 74.09% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 965 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | |
| 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) | |
| 43.01% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 965 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "familiar" | | 1 | "scanned" | | 2 | "tracing" | | 3 | "comforting" | | 4 | "potential" | | 5 | "weight" | | 6 | "sanctuary" | | 7 | "solace" |
| |
| 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 | 1 | | narrationSentences | 35 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 35 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 54 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 958 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 548 | | uniqueNames | 8 | | maxNameDensity | 2.37 | | worstName | "Silas" | | maxWindowNameDensity | 5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Soho | 1 | | Carter | 2 | | Silas | 13 | | Blackwood | 2 | | London | 1 | | Aurora | 13 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Carter" | | 3 | "Silas" | | 4 | "Blackwood" | | 5 | "Aurora" |
| | places | | | globalScore | 0.314 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 32 | | 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 | 958 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 54 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 23 | | mean | 41.65 | | std | 28.24 | | cv | 0.678 | | sampleLengths | | 0 | 92 | | 1 | 89 | | 2 | 59 | | 3 | 21 | | 4 | 34 | | 5 | 16 | | 6 | 28 | | 7 | 39 | | 8 | 37 | | 9 | 27 | | 10 | 54 | | 11 | 21 | | 12 | 54 | | 13 | 25 | | 14 | 19 | | 15 | 35 | | 16 | 26 | | 17 | 11 | | 18 | 40 | | 19 | 61 | | 20 | 25 | | 21 | 16 | | 22 | 129 |
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| 95.24% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 35 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 84 | | matches | (empty) | |
| 89.95% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 54 | | ratio | 0.019 | | matches | | 0 | "Silas chuckled, shaking his head as he grabbed a glass and poured her usual—whiskey, neat." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 555 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.02702702702702703 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.014414414414414415 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 54 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 54 | | mean | 17.74 | | std | 11.9 | | cv | 0.671 | | sampleLengths | | 0 | 23 | | 1 | 35 | | 2 | 34 | | 3 | 22 | | 4 | 16 | | 5 | 34 | | 6 | 17 | | 7 | 16 | | 8 | 10 | | 9 | 9 | | 10 | 9 | | 11 | 15 | | 12 | 12 | | 13 | 9 | | 14 | 15 | | 15 | 14 | | 16 | 5 | | 17 | 12 | | 18 | 4 | | 19 | 8 | | 20 | 20 | | 21 | 12 | | 22 | 27 | | 23 | 5 | | 24 | 32 | | 25 | 10 | | 26 | 17 | | 27 | 8 | | 28 | 46 | | 29 | 14 | | 30 | 7 | | 31 | 7 | | 32 | 47 | | 33 | 11 | | 34 | 14 | | 35 | 6 | | 36 | 13 | | 37 | 10 | | 38 | 25 | | 39 | 5 | | 40 | 21 | | 41 | 10 | | 42 | 1 | | 43 | 40 | | 44 | 18 | | 45 | 43 | | 46 | 6 | | 47 | 19 | | 48 | 10 | | 49 | 6 |
| |
| 69.14% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.42592592592592593 | | totalSentences | 54 | | uniqueOpeners | 23 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 35 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 9 | | totalSentences | 35 | | matches | | 0 | "She scanned the dimly lit" | | 1 | "His grey-streaked auburn hair was" | | 2 | "He wore a dark green" | | 3 | "She slid onto a stool," | | 4 | "He looked up, his laughter" | | 5 | "he said, his voice a" | | 6 | "He slid it across the" | | 7 | "he said softly" | | 8 | "He leaned against the bar," |
| | ratio | 0.257 | |
| 2.86% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 32 | | totalSentences | 35 | | matches | | 0 | "The distinctive green neon sign" | | 1 | "Aurora Carter, her black hair" | | 2 | "She scanned the dimly lit" | | 3 | "Silas stood behind the bar," | | 4 | "His grey-streaked auburn hair was" | | 5 | "He wore a dark green" | | 6 | "A slight limp was evident" | | 7 | "Aurora made her way to" | | 8 | "She slid onto a stool," | | 9 | "He looked up, his laughter" | | 10 | "he said, his voice a" | | 11 | "Aurora smirked, her fingers tracing" | | 12 | "Silas chuckled, shaking his head" | | 13 | "He slid it across the" | | 14 | "he said softly" | | 15 | "Aurora took a sip of" | | 16 | "He leaned against the bar," | | 17 | "Aurora looked down at her" | | 18 | "Silas nodded, his expression serious." | | 19 | "Aurora looked up at him," |
| | ratio | 0.914 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 35 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 1 | | matches | | 0 | "She scanned the dimly lit room, her bright blue eyes adjusting to the low light as she sought out Silas Blackwood, the man who had become her reluctant guardian…" |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 1 | | matches | | 0 | "he said, his voice a low rumble" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 21 | | tagDensity | 0.095 | | leniency | 0.19 | | rawRatio | 0 | | effectiveRatio | 0 | |