| 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 | |
| 73.93% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 959 | | 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) | |
| 42.65% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 959 | | 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 |
|
| | 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) | |
| 65.13% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 54 | | gibberishSentences | 3 | | adjustedGibberishSentences | 3 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 3 | | maxSentenceWordsSeen | 47 | | ratio | 0.056 | | matches | | 0 | "\"That's not for you to decide, Rory. That's for you to earn. And I believe in you. I believe in your strength, in your intelligence, in your heart. I believe in the girl I met all …" | | 1 | "\"Promise me you'll be honest with me. Promise me you'll trust me. Promise me you'll let me in, let me help you. Promise me you'll fight, Rory. Promise me you'll fight for your rede…" | | 2 | "\"I promise, Silas. I promise I'll be honest with you. I promise I'll trust you. I promise I'll let you in, let you help me. I promise I'll fight, Silas. I promise I'll fight for my…" |
| |
| 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 |
| |
| 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." |
| |
| 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" |
| |
| 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 | |