| 33.33% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 3 | | adverbTags | | 0 | "She glanced around [around]" | | 1 | "He turned back [back]" | | 2 | "he said finally [finally]" |
| | dialogueSentences | 36 | | tagDensity | 0.472 | | leniency | 0.944 | | rawRatio | 0.176 | | effectiveRatio | 0.167 | |
| 94.13% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 852 | | totalAiIsmAdverbs | 1 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 852 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "familiar" | | 1 | "scanned" | | 2 | "sanctuary" | | 3 | "flicker" | | 4 | "tension" | | 5 | "silence" | | 6 | "could feel" | | 7 | "weight" | | 8 | "unspoken" | | 9 | "stomach" | | 10 | "tracing" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "couldn't help but" | | count | 1 |
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| | highlights | | 0 | "couldn't help but wonder" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 47 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 47 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 67 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 851 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 38.89% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 585 | | uniqueNames | 5 | | maxNameDensity | 2.22 | | worstName | "Aurora" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Aurora" | | discoveredNames | | Silas | 11 | | Raven | 1 | | Nest | 1 | | Aurora | 13 | | Unscrewing | 1 |
| | persons | | 0 | "Silas" | | 1 | "Raven" | | 2 | "Aurora" |
| | places | (empty) | | globalScore | 0.389 | | windowScore | 0.5 | |
| 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 | 851 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 67 | | matches | (empty) | |
| 94.56% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 29.34 | | std | 14.11 | | cv | 0.481 | | sampleLengths | | 0 | 51 | | 1 | 7 | | 2 | 33 | | 3 | 4 | | 4 | 32 | | 5 | 48 | | 6 | 15 | | 7 | 23 | | 8 | 49 | | 9 | 4 | | 10 | 9 | | 11 | 25 | | 12 | 34 | | 13 | 29 | | 14 | 34 | | 15 | 45 | | 16 | 21 | | 17 | 31 | | 18 | 40 | | 19 | 34 | | 20 | 15 | | 21 | 45 | | 22 | 12 | | 23 | 29 | | 24 | 19 | | 25 | 44 | | 26 | 36 | | 27 | 32 | | 28 | 51 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 47 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 95 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 67 | | ratio | 0.015 | | matches | | 0 | "Aurora's gaze drifted to the framed photographs on the wall - sepia-toned images of a bygone era, when this place had been the beating heart of the city's underground network." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 487 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 12 | | adverbRatio | 0.024640657084188913 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.004106776180698152 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 67 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 67 | | mean | 12.7 | | std | 6.02 | | cv | 0.474 | | sampleLengths | | 0 | 12 | | 1 | 16 | | 2 | 23 | | 3 | 7 | | 4 | 22 | | 5 | 11 | | 6 | 4 | | 7 | 7 | | 8 | 15 | | 9 | 10 | | 10 | 15 | | 11 | 23 | | 12 | 10 | | 13 | 9 | | 14 | 6 | | 15 | 14 | | 16 | 9 | | 17 | 13 | | 18 | 25 | | 19 | 11 | | 20 | 4 | | 21 | 8 | | 22 | 1 | | 23 | 9 | | 24 | 16 | | 25 | 30 | | 26 | 4 | | 27 | 11 | | 28 | 12 | | 29 | 6 | | 30 | 10 | | 31 | 18 | | 32 | 6 | | 33 | 9 | | 34 | 12 | | 35 | 11 | | 36 | 13 | | 37 | 14 | | 38 | 7 | | 39 | 12 | | 40 | 19 | | 41 | 7 | | 42 | 13 | | 43 | 20 | | 44 | 18 | | 45 | 16 | | 46 | 15 | | 47 | 13 | | 48 | 26 | | 49 | 6 |
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| 89.05% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5522388059701493 | | totalSentences | 67 | | uniqueOpeners | 37 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 47 | | matches | (empty) | | ratio | 0 | |
| 83.83% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 47 | | matches | | 0 | "His jaw tightened at the" | | 1 | "She hadn't stepped foot in" | | 2 | "He gestured to the empty" | | 3 | "She glanced around the bar" | | 4 | "She took a sip, the" | | 5 | "She looked up, offering a" | | 6 | "He paused, taking a sip" | | 7 | "She met his gaze, the" | | 8 | "He reached beneath the bar," | | 9 | "She lifted the glass, taking" | | 10 | "They sat in silence for" | | 11 | "she began, clearing her throat" | | 12 | "He paused, a wry smile" | | 13 | "He turned back to her," | | 14 | "She took a deep breath," | | 15 | "he said finally, refilling her" |
| | ratio | 0.34 | |
| 13.19% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 42 | | totalSentences | 47 | | matches | | 0 | "The familiar creak of hinges" | | 1 | "The bar was quiet at" | | 2 | "His jaw tightened at the" | | 3 | "Aurora's eyes scanned the worn" | | 4 | "She hadn't stepped foot in" | | 5 | "A wry smile tugged at" | | 6 | "He gestured to the empty" | | 7 | "Time had weathered Silas, the" | | 8 | "She glanced around the bar" | | 9 | "Silas poured the amber liquid," | | 10 | "Aurora stared into the glass," | | 11 | "The smell of stale cigarette" | | 12 | "She took a sip, the" | | 13 | "She looked up, offering a" | | 14 | "Silas leaned against the bar," | | 15 | "Aurora's gaze drifted to the" | | 16 | "Silas followed her gaze, a" | | 17 | "He paused, taking a sip" | | 18 | "Aurora's fingers tightened around the" | | 19 | "She met his gaze, the" |
| | ratio | 0.894 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 47 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 1 | | matches | | 0 | "Aurora's eyes scanned the worn leather booths, the dark wood paneling, the scattered knick-knacks that gave The Raven's Nest its distinct character." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 5 | | matches | | 0 | "Aurora could, the weight of unspoken questions hanging in the air" | | 1 | "He paused, a wry smile tugging at his lips" | | 2 | "Silas took, his gaze shifting to the shadows in the corner" | | 3 | "He turned back, his eyes searching her face" | | 4 | "She took, her fingers tracing the rim of her glass" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "Silas chuckled (chuckle)" |
| | dialogueSentences | 36 | | tagDensity | 0.056 | | leniency | 0.111 | | rawRatio | 0.5 | | effectiveRatio | 0.056 | |