| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 37 | | tagDensity | 0.027 | | leniency | 0.054 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.82% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1342 | | totalAiIsmAdverbs | 3 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 1 |
| | 2 | |
| | highlights | | 0 | "carefully" | | 1 | "barely above a whisper" | | 2 | "softly" |
| |
| 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) | |
| 21.76% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1342 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "flickered" | | 1 | "scanned" | | 2 | "glint" | | 3 | "weight" | | 4 | "echoing" | | 5 | "tension" | | 6 | "flicker" | | 7 | "flicked" | | 8 | "whisper" | | 9 | "reminder" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 54 | | matches | (empty) | |
| 89.95% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 54 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 90 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1340 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 759 | | uniqueNames | 4 | | maxNameDensity | 1.32 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Aurora | 10 | | Silas | 7 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Aurora" | | 3 | "Silas" |
| | places | (empty) | | globalScore | 0.841 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 1 | | matches | | 0 | "sound that seemed to scrape the walls" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1340 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 90 | | matches | (empty) | |
| 48.27% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 31.16 | | std | 9.94 | | cv | 0.319 | | sampleLengths | | 0 | 53 | | 1 | 55 | | 2 | 59 | | 3 | 12 | | 4 | 24 | | 5 | 17 | | 6 | 33 | | 7 | 29 | | 8 | 31 | | 9 | 32 | | 10 | 25 | | 11 | 34 | | 12 | 29 | | 13 | 24 | | 14 | 32 | | 15 | 34 | | 16 | 27 | | 17 | 25 | | 18 | 32 | | 19 | 39 | | 20 | 26 | | 21 | 34 | | 22 | 29 | | 23 | 24 | | 24 | 31 | | 25 | 32 | | 26 | 23 | | 27 | 25 | | 28 | 30 | | 29 | 35 | | 30 | 30 | | 31 | 26 | | 32 | 32 | | 33 | 38 | | 34 | 35 | | 35 | 27 | | 36 | 25 | | 37 | 35 | | 38 | 48 | | 39 | 17 | | 40 | 16 | | 41 | 52 | | 42 | 24 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 54 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 119 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 90 | | ratio | 0.011 | | matches | | 0 | "A flicker of something—regret, perhaps—crossed her face." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 761 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.022339027595269383 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.00788436268068331 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 90 | | echoCount | 0 | | echoWords | (empty) | |
| 80.43% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 90 | | mean | 14.89 | | std | 5.23 | | cv | 0.351 | | sampleLengths | | 0 | 14 | | 1 | 19 | | 2 | 20 | | 3 | 8 | | 4 | 20 | | 5 | 27 | | 6 | 27 | | 7 | 17 | | 8 | 15 | | 9 | 12 | | 10 | 16 | | 11 | 8 | | 12 | 11 | | 13 | 6 | | 14 | 3 | | 15 | 18 | | 16 | 12 | | 17 | 10 | | 18 | 19 | | 19 | 8 | | 20 | 23 | | 21 | 16 | | 22 | 16 | | 23 | 7 | | 24 | 18 | | 25 | 17 | | 26 | 17 | | 27 | 19 | | 28 | 10 | | 29 | 9 | | 30 | 15 | | 31 | 15 | | 32 | 17 | | 33 | 13 | | 34 | 21 | | 35 | 15 | | 36 | 12 | | 37 | 6 | | 38 | 19 | | 39 | 10 | | 40 | 22 | | 41 | 11 | | 42 | 28 | | 43 | 9 | | 44 | 17 | | 45 | 9 | | 46 | 25 | | 47 | 15 | | 48 | 14 | | 49 | 10 |
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| 50.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.26666666666666666 | | totalSentences | 90 | | uniqueOpeners | 24 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 20.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 54 | | matches | | 0 | "Her bright blue eyes scanned" | | 1 | "She paused, the scar on" | | 2 | "He was behind the bar," | | 3 | "He turned, his hazel eyes" | | 4 | "he said, voice low, the" | | 5 | "She set down the delivery" | | 6 | "His fingers brushed the ring," | | 7 | "He lifted a glass, the" | | 8 | "She laughed, a sound that" | | 9 | "He leaned forward, elbows resting" | | 10 | "She took a sip of" | | 11 | "He tapped the bar with" | | 12 | "She pressed her palm against" | | 13 | "He reached for a glass," | | 14 | "She laughed again, this time" | | 15 | "He turned his head, the" | | 16 | "His gaze lingered on the" | | 17 | "She stared at the neon" | | 18 | "He poured a measure, the" | | 19 | "She took the glass, the" |
| | ratio | 0.5 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 54 | | matches | | 0 | "The Raven’s Nest breathed out" | | 1 | "A thin wisp of cigarette" | | 2 | "Aurora pushed the door open," | | 3 | "Her bright blue eyes scanned" | | 4 | "She paused, the scar on" | | 5 | "He was behind the bar," | | 6 | "A slight limp shifted his" | | 7 | "He turned, his hazel eyes" | | 8 | "he said, voice low, the" | | 9 | "She set down the delivery" | | 10 | "His fingers brushed the ring," | | 11 | "Aurora’s shoulders tightened." | | 12 | "The years had carved lines" | | 13 | "He lifted a glass, the" | | 14 | "She laughed, a sound that" | | 15 | "Silas placed the glass down," | | 16 | "A flicker of something—regret, perhaps—crossed" | | 17 | "He leaned forward, elbows resting" | | 18 | "Aurora’s eyes flicked to the" | | 19 | "A smile tugged at the" |
| | ratio | 0.981 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 61.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 5 | | matches | | 0 | "He was behind the bar, a tall figure in a worn leather jacket, his hair a mix of auburn and grey streaks that fell to his shoulders." | | 1 | "Silas placed the glass down, his thumb brushing the scar on her wrist without touching it." | | 2 | "He leaned forward, elbows resting on the polished wood, his beard catching a stray droplet of condensation." | | 3 | "Aurora’s gaze lingered on the bookshelf that concealed a door, the wood worn by countless hands." | | 4 | "He leaned back, his limp shifting his weight, his hand resting on the bar, the signet ring catching the neon glow." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 1 | | matches | | 0 | "he said, voice low, the word slipping out like a secret" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 37 | | tagDensity | 0.027 | | leniency | 0.054 | | rawRatio | 0 | | effectiveRatio | 0 | |