| 97.44% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 2 | | adverbTags | | 0 | "He gestured vaguely [vaguely]" | | 1 | "she finally whispered [finally]" |
| | dialogueSentences | 39 | | tagDensity | 0.282 | | leniency | 0.564 | | rawRatio | 0.182 | | effectiveRatio | 0.103 | |
| 90.05% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1005 | | totalAiIsmAdverbs | 2 | | 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) | |
| 30.35% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1005 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "chill" | | 1 | "familiar" | | 2 | "weight" | | 3 | "flicker" | | 4 | "crystal" | | 5 | "warmth" | | 6 | "methodical" | | 7 | "traced" | | 8 | "silence" | | 9 | "unspoken" | | 10 | "unreadable" | | 11 | "unwavering" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "weight of words/silence" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "the weight of his words" | | 1 | "hung in the air" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 48 | | matches | | |
| 83.33% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 48 | | filterMatches | (empty) | | hedgeMatches | | 0 | "appeared to" | | 1 | "began to" |
| |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 74 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 49 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 998 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 546 | | uniqueNames | 7 | | maxNameDensity | 0.92 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | London | 1 | | Carter | 1 | | Blackwood | 1 | | Rory | 5 | | Silas | 4 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Carter" | | 3 | "Blackwood" | | 4 | "Rory" | | 5 | "Silas" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 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 | 998 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 74 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 32.19 | | std | 20.59 | | cv | 0.64 | | sampleLengths | | 0 | 92 | | 1 | 45 | | 2 | 10 | | 3 | 41 | | 4 | 16 | | 5 | 19 | | 6 | 48 | | 7 | 60 | | 8 | 18 | | 9 | 35 | | 10 | 25 | | 11 | 44 | | 12 | 21 | | 13 | 33 | | 14 | 5 | | 15 | 13 | | 16 | 20 | | 17 | 8 | | 18 | 53 | | 19 | 14 | | 20 | 32 | | 21 | 13 | | 22 | 50 | | 23 | 13 | | 24 | 52 | | 25 | 12 | | 26 | 66 | | 27 | 33 | | 28 | 8 | | 29 | 55 | | 30 | 44 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 48 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 82 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 74 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 553 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 16 | | adverbRatio | 0.028933092224231464 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.012658227848101266 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 74 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 74 | | mean | 13.49 | | std | 9.77 | | cv | 0.725 | | sampleLengths | | 0 | 26 | | 1 | 11 | | 2 | 21 | | 3 | 22 | | 4 | 12 | | 5 | 17 | | 6 | 15 | | 7 | 13 | | 8 | 8 | | 9 | 2 | | 10 | 3 | | 11 | 20 | | 12 | 18 | | 13 | 12 | | 14 | 4 | | 15 | 13 | | 16 | 6 | | 17 | 16 | | 18 | 11 | | 19 | 21 | | 20 | 8 | | 21 | 31 | | 22 | 21 | | 23 | 14 | | 24 | 4 | | 25 | 16 | | 26 | 13 | | 27 | 6 | | 28 | 13 | | 29 | 12 | | 30 | 6 | | 31 | 16 | | 32 | 10 | | 33 | 12 | | 34 | 14 | | 35 | 6 | | 36 | 1 | | 37 | 13 | | 38 | 3 | | 39 | 11 | | 40 | 6 | | 41 | 5 | | 42 | 12 | | 43 | 1 | | 44 | 5 | | 45 | 15 | | 46 | 8 | | 47 | 31 | | 48 | 14 | | 49 | 8 |
| |
| 71.62% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.44594594594594594 | | totalSentences | 74 | | uniqueOpeners | 33 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 48 | | matches | (empty) | | ratio | 0 | |
| 20.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 48 | | matches | | 0 | "She moved towards the bar," | | 1 | "His shoulders were broader than" | | 2 | "He leaned slightly on his" | | 3 | "she said, her voice a" | | 4 | "His hazel eyes, crinkled at" | | 5 | "She slid onto a stool," | | 6 | "He placed the heavy crystal" | | 7 | "She took a sip of" | | 8 | "she agreed, her gaze drifting" | | 9 | "She traced the rim of" | | 10 | "He set the glass down" | | 11 | "She rested her hand on" | | 12 | "She simply took another drink" | | 13 | "She pushed her empty glass" | | 14 | "He refilled it without question." | | 15 | "He leaned forward, his forearms" | | 16 | "She held his stare, her" | | 17 | "He gestured vaguely with his" | | 18 | "His voice was a low," | | 19 | "Her breath hitched, a tiny," |
| | ratio | 0.5 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 46 | | totalSentences | 48 | | matches | | 0 | "The door of The Raven's" | | 1 | "Aurora Carter stepped inside, shaking" | | 2 | "The bar was quiet, a" | | 3 | "She moved towards the bar," | | 4 | "A man stood there, his" | | 5 | "His shoulders were broader than" | | 6 | "He leaned slightly on his" | | 7 | "she said, her voice a" | | 8 | "The man turned." | | 9 | "His hazel eyes, crinkled at" | | 10 | "The silver signet ring on" | | 11 | "Silas Blackwood’s voice was a" | | 12 | "She slid onto a stool," | | 13 | "He placed the heavy crystal" | | 14 | "The scent of peat and" | | 15 | "A ghost of a smile" | | 16 | "She took a sip of" | | 17 | "Silas polished a glass with" | | 18 | "she agreed, her gaze drifting" | | 19 | "She traced the rim of" |
| | ratio | 0.958 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 48 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 4 | | matches | | 0 | "she said, her voice a low request" | | 1 | "She slid, the worn leather cool against her thighs" | | 2 | "He leaned, his forearms resting on the bar" | | 3 | "she finally whispered, the word barely audible" |
| |
| 98.72% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "she agreed (agree)" | | 1 | "she finally whispered (whisper)" |
| | dialogueSentences | 39 | | tagDensity | 0.077 | | leniency | 0.154 | | rawRatio | 0.667 | | effectiveRatio | 0.103 | |