| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 38 | | tagDensity | 0.211 | | leniency | 0.421 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 775 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 9.68% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 775 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "pulsed" | | 1 | "tracing" | | 2 | "intensity" | | 3 | "stomach" | | 4 | "familiar" | | 5 | "weight" | | 6 | "charged" | | 7 | "silence" | | 8 | "tension" | | 9 | "pulse" | | 10 | "depths" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "knuckles turned white" | | count | 1 |
|
| | highlights | | |
| 92.32% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 51 | | matches | | 0 | "was afraid" | | 1 | "was bitter" |
| |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 51 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 78 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 3 | | totalWords | 766 | | ratio | 0.004 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 44.55% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 569 | | uniqueNames | 9 | | maxNameDensity | 2.11 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Soho | 1 | | Carter | 2 | | Rory | 12 | | Blackwood | 1 | | Si | 1 | | Evan | 1 | | Silas | 9 | | Eva | 5 |
| | persons | | 0 | "Raven" | | 1 | "Carter" | | 2 | "Rory" | | 3 | "Blackwood" | | 4 | "Si" | | 5 | "Evan" | | 6 | "Silas" | | 7 | "Eva" |
| | places | | | globalScore | 0.446 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 34 | | 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 | 766 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 78 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 22.53 | | std | 19.26 | | cv | 0.855 | | sampleLengths | | 0 | 84 | | 1 | 71 | | 2 | 13 | | 3 | 19 | | 4 | 15 | | 5 | 38 | | 6 | 10 | | 7 | 35 | | 8 | 5 | | 9 | 52 | | 10 | 21 | | 11 | 10 | | 12 | 5 | | 13 | 9 | | 14 | 11 | | 15 | 14 | | 16 | 13 | | 17 | 17 | | 18 | 7 | | 19 | 13 | | 20 | 27 | | 21 | 31 | | 22 | 17 | | 23 | 15 | | 24 | 15 | | 25 | 25 | | 26 | 7 | | 27 | 22 | | 28 | 8 | | 29 | 12 | | 30 | 69 | | 31 | 10 | | 32 | 32 | | 33 | 14 |
| |
| 98.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 51 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 93 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 78 | | ratio | 0.064 | | matches | | 0 | "Aurora Carter—Rory, to those who knew her—leaned against the bar, her fingers tracing the rim of a glass half-full of something dark and bitter." | | 1 | "Silas Blackwood—Si, to those who still called him that—turned from the counter, his hazel eyes flicking over her with the kind of quiet intensity that always made Rory’s stomach twist." | | 2 | "It was the memory of what she’d left behind—Evan, the abuse, the way her life had unraveled like a thread." | | 3 | "Then, from the back of the bar, a voice cut through the tension—low, amused." | | 4 | "The air between them crackled, heavy with something that wasn’t just anger—it was the weight of secrets, of lies, of a life that had been built on something that wasn’t real." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 578 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.03806228373702422 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0034602076124567475 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 78 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 78 | | mean | 9.82 | | std | 6.85 | | cv | 0.698 | | sampleLengths | | 0 | 25 | | 1 | 24 | | 2 | 16 | | 3 | 7 | | 4 | 12 | | 5 | 30 | | 6 | 19 | | 7 | 22 | | 8 | 13 | | 9 | 11 | | 10 | 8 | | 11 | 12 | | 12 | 3 | | 13 | 3 | | 14 | 21 | | 15 | 14 | | 16 | 3 | | 17 | 7 | | 18 | 13 | | 19 | 13 | | 20 | 9 | | 21 | 5 | | 22 | 15 | | 23 | 12 | | 24 | 20 | | 25 | 5 | | 26 | 15 | | 27 | 6 | | 28 | 6 | | 29 | 4 | | 30 | 3 | | 31 | 2 | | 32 | 9 | | 33 | 5 | | 34 | 6 | | 35 | 7 | | 36 | 3 | | 37 | 4 | | 38 | 9 | | 39 | 4 | | 40 | 12 | | 41 | 5 | | 42 | 3 | | 43 | 4 | | 44 | 5 | | 45 | 8 | | 46 | 4 | | 47 | 14 | | 48 | 9 | | 49 | 18 |
| |
| 55.13% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.34615384615384615 | | totalSentences | 78 | | uniqueOpeners | 27 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 49 | | matches | | 0 | "Instead, she slid off the" | | 1 | "Then, from the back of" |
| | ratio | 0.041 | |
| 73.06% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 49 | | matches | | 0 | "She hadn’t come here for" | | 1 | "She’d come for the man" | | 2 | "He was taller now, broader," | | 3 | "he said, voice low, like" | | 4 | "His voice dropped, rougher than" | | 5 | "She didn’t answer." | | 6 | "She turned away, her back" | | 7 | "It was the memory of" | | 8 | "His voice was steady, but" | | 9 | "She didn’t look at him" | | 10 | "He didn’t answer right away." | | 11 | "His voice was softer now," | | 12 | "She turned back to face" | | 13 | "Her dark eyes were sharp," | | 14 | "She cut him off, her" | | 15 | "she said, turning to Rory" | | 16 | "She looked at Silas, at" | | 17 | "She knew what she had" |
| | ratio | 0.367 | |
| 0.82% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 45 | | totalSentences | 49 | | matches | | 0 | "The neon glow of *The" | | 1 | "Aurora Carter—Rory, to those who" | | 2 | "The scent of aged whiskey" | | 3 | "She hadn’t come here for" | | 4 | "She’d come for the man" | | 5 | "Silas Blackwood—Si, to those who" | | 6 | "He was taller now, broader," | | 7 | "The bar’s dim light caught" | | 8 | "he said, voice low, like" | | 9 | "Rory exhaled through her nose," | | 10 | "His voice dropped, rougher than" | | 11 | "She didn’t answer." | | 12 | "Silas didn’t flinch." | | 13 | "The air between them thickened," | | 14 | "Rory’s fingers tightened around the" | | 15 | "She turned away, her back" | | 16 | "The whiskey burned, but it" | | 17 | "It was the memory of" | | 18 | "His voice was steady, but" | | 19 | "She didn’t look at him" |
| | ratio | 0.918 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 49 | | matches | (empty) | | ratio | 0 | |
| 83.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 2 | | matches | | 0 | "He was taller now, broader, his grey-streaked auburn hair longer, the kind of change that didn’t just happen overnight." | | 1 | "The air between them crackled, heavy with something that wasn’t just anger—it was the weight of secrets, of lies, of a life that had been built on something tha…" |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 2 | | matches | | 0 | "She cut, her voice cutting through the tension like a blade" | | 1 | "Silas said, his voice rough" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 38 | | tagDensity | 0.132 | | leniency | 0.263 | | rawRatio | 0.2 | | effectiveRatio | 0.053 | |