| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 1 | | adverbTags | | 0 | "She desperately wanted to say yes [desperately]" |
| | dialogueSentences | 46 | | tagDensity | 0.457 | | leniency | 0.913 | | rawRatio | 0.048 | | effectiveRatio | 0.043 | |
| 80.51% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1026 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slowly" | | 1 | "very" | | 2 | "perfectly" | | 3 | "really" |
| |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 31.77% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1026 | | totalAiIsms | 14 | | found | | 0 | | word | "cast a warm glow" | | count | 1 |
| | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | |
| | highlights | | 0 | "cast a warm glow" | | 1 | "tracing" | | 2 | "eyebrow" | | 3 | "flicker" | | 4 | "weight" | | 5 | "silence" | | 6 | "unspoken" | | 7 | "crystal" | | 8 | "perfect" | | 9 | "jaw clenched" | | 10 | "simmering" | | 11 | "whisper" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
| | 1 | | label | "flicker of emotion" | | count | 1 |
|
| | highlights | | 0 | "jaw clenched" | | 1 | "a flicker of amusement" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 64 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 64 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 88 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 3 | | totalWords | 1024 | | ratio | 0.003 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 680 | | uniqueNames | 5 | | maxNameDensity | 1.32 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 9 | | Eva | 1 | | Ptolemy | 2 | | Things | 1 | | Lucien | 3 |
| | persons | | 0 | "Rory" | | 1 | "Eva" | | 2 | "Ptolemy" | | 3 | "Lucien" |
| | places | (empty) | | globalScore | 0.838 | | windowScore | 0.833 | |
| 53.85% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a void, swallowing all light" | | 1 | "felt like a lifetime ago" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1024 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 88 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 28.44 | | std | 17.65 | | cv | 0.621 | | sampleLengths | | 0 | 26 | | 1 | 90 | | 2 | 51 | | 3 | 16 | | 4 | 18 | | 5 | 37 | | 6 | 27 | | 7 | 25 | | 8 | 26 | | 9 | 37 | | 10 | 33 | | 11 | 47 | | 12 | 23 | | 13 | 3 | | 14 | 24 | | 15 | 46 | | 16 | 3 | | 17 | 45 | | 18 | 50 | | 19 | 2 | | 20 | 37 | | 21 | 46 | | 22 | 21 | | 23 | 7 | | 24 | 32 | | 25 | 3 | | 26 | 41 | | 27 | 26 | | 28 | 23 | | 29 | 4 | | 30 | 14 | | 31 | 18 | | 32 | 33 | | 33 | 22 | | 34 | 23 | | 35 | 45 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 64 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 122 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 88 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 594 | | adjectiveStacks | 1 | | stackExamples | | 0 | "better left closed, Rory." |
| | adverbCount | 23 | | adverbRatio | 0.03872053872053872 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.016835016835016835 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 88 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 88 | | mean | 11.64 | | std | 6.79 | | cv | 0.584 | | sampleLengths | | 0 | 11 | | 1 | 2 | | 2 | 2 | | 3 | 8 | | 4 | 2 | | 5 | 1 | | 6 | 17 | | 7 | 13 | | 8 | 7 | | 9 | 7 | | 10 | 26 | | 11 | 20 | | 12 | 17 | | 13 | 17 | | 14 | 17 | | 15 | 16 | | 16 | 15 | | 17 | 3 | | 18 | 4 | | 19 | 19 | | 20 | 8 | | 21 | 6 | | 22 | 9 | | 23 | 18 | | 24 | 11 | | 25 | 10 | | 26 | 4 | | 27 | 14 | | 28 | 12 | | 29 | 11 | | 30 | 4 | | 31 | 6 | | 32 | 16 | | 33 | 12 | | 34 | 9 | | 35 | 12 | | 36 | 24 | | 37 | 17 | | 38 | 6 | | 39 | 14 | | 40 | 9 | | 41 | 3 | | 42 | 11 | | 43 | 13 | | 44 | 18 | | 45 | 17 | | 46 | 11 | | 47 | 3 | | 48 | 18 | | 49 | 14 |
| |
| 93.18% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.5795454545454546 | | totalSentences | 88 | | uniqueOpeners | 51 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 60 | | matches | (empty) | | ratio | 0 | |
| 26.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 60 | | matches | | 0 | "She hadn’t expected him to" | | 1 | "She pushed the door open," | | 2 | "He still wore those tailored" | | 3 | "His voice, a low rumble," | | 4 | "He finally turned, slowly." | | 5 | "His fingers tracing that very" | | 6 | "He took a slow sip" | | 7 | "She forced herself to meet" | | 8 | "He raised an eyebrow, a" | | 9 | "She shifted her weight" | | 10 | "He gestured with his glass" | | 11 | "She desperately wanted to say" | | 12 | "He took another sip, watching" | | 13 | "His expression didn't change, but" | | 14 | "He was a master of" | | 15 | "She was a delivery driver," | | 16 | "He walked towards her, and" | | 17 | "He stopped a foot away," | | 18 | "He ran a hand through" | | 19 | "His gaze dropped to her" |
| | ratio | 0.483 | |
| 1.67% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 60 | | matches | | 0 | "The chipped paint on the" | | 1 | "She hadn’t expected him to" | | 2 | "She pushed the door open," | | 3 | "Ptolemy, Eva’s tabby, immediately wound" | | 4 | "The flat was exactly as" | | 5 | "Chaos organized into a semblance" | | 6 | "Stacks of books threatened to" | | 7 | "A single lamp cast a" | | 8 | "Lucien stood near the window," | | 9 | "He still wore those tailored" | | 10 | "His voice, a low rumble," | | 11 | "Rory tucked a strand of" | | 12 | "He finally turned, slowly." | | 13 | "A ghost of a touch" | | 14 | "His fingers tracing that very" | | 15 | "He took a slow sip" | | 16 | "She forced herself to meet" | | 17 | "The black eye felt like" | | 18 | "He raised an eyebrow, a" | | 19 | "Rory glanced down at her" |
| | ratio | 0.917 | |
| 83.33% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 60 | | matches | | 0 | "Even from behind, she registered" |
| | ratio | 0.017 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 1 | | matches | | 0 | "He reached out, his fingers hovering over her arm before dropping back to his side." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 6 | | matches | | 0 | "He raised, a flicker of amusement playing around his lips" | | 1 | "Lucien said, a hint of something softer underlying the sharpness" | | 2 | "Rory crossed, wanting to appear untouchable despite the tremor in her hands" | | 3 | "She trailed, unable to voice the simple truth" | | 4 | "He spoke, his voice barely a whisper" | | 5 | "Rory stepped, her voice rising" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "She desperately wanted to say yes (want say)" | | 1 | "He spoke (speak)" |
| | dialogueSentences | 46 | | tagDensity | 0.065 | | leniency | 0.13 | | rawRatio | 0.667 | | effectiveRatio | 0.087 | |