| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 1 | | adverbTags | | 0 | "The word tasted like [like]" |
| | dialogueSentences | 42 | | tagDensity | 0.262 | | leniency | 0.524 | | rawRatio | 0.091 | | effectiveRatio | 0.048 | |
| 88.83% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1343 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "quickly" | | 1 | "completely" | | 2 | "really" |
| |
| 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) | |
| 47.88% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1343 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "tracing" | | 1 | "chill" | | 2 | "silk" | | 3 | "weight" | | 4 | "scanning" | | 5 | "unravel" | | 6 | "flicked" | | 7 | "flicker" | | 8 | "stomach" | | 9 | "eyebrow" | | 10 | "unspoken" | | 11 | "unreadable" | | 12 | "silence" |
| |
| 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 | 119 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 119 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 151 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 4 | | totalWords | 1332 | | ratio | 0.003 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 1162 | | uniqueNames | 10 | | maxNameDensity | 1.03 | | worstName | "Evan" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Evan" | | discoveredNames | | Raven | 1 | | Nest | 3 | | Golden | 1 | | Empress | 1 | | London | 1 | | Low | 1 | | Rory | 10 | | Evan | 12 | | Silas | 4 | | Cardiff | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Rory" | | 3 | "Evan" | | 4 | "Silas" |
| | places | | 0 | "Golden" | | 1 | "London" | | 2 | "Cardiff" |
| | globalScore | 0.984 | | windowScore | 0.833 | |
| 45.83% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 3 | | matches | | 0 | "something like surprise, quickly smothered" | | 1 | "looked like a man who had been hollowed o" | | 2 | "as if waiting for her to ask with what" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.751 | | wordCount | 1332 | | matches | | 0 | "Not all at once, but in patches, like a wave receding" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 151 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 25.13 | | std | 25.19 | | cv | 1.002 | | sampleLengths | | 0 | 125 | | 1 | 76 | | 2 | 4 | | 3 | 1 | | 4 | 102 | | 5 | 61 | | 6 | 4 | | 7 | 31 | | 8 | 43 | | 9 | 12 | | 10 | 31 | | 11 | 29 | | 12 | 52 | | 13 | 19 | | 14 | 4 | | 15 | 36 | | 16 | 5 | | 17 | 7 | | 18 | 24 | | 19 | 32 | | 20 | 36 | | 21 | 14 | | 22 | 20 | | 23 | 1 | | 24 | 5 | | 25 | 4 | | 26 | 23 | | 27 | 6 | | 28 | 39 | | 29 | 2 | | 30 | 15 | | 31 | 30 | | 32 | 63 | | 33 | 10 | | 34 | 12 | | 35 | 27 | | 36 | 9 | | 37 | 9 | | 38 | 5 | | 39 | 2 | | 40 | 4 | | 41 | 19 | | 42 | 7 | | 43 | 36 | | 44 | 10 | | 45 | 5 | | 46 | 50 | | 47 | 22 | | 48 | 13 | | 49 | 17 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 119 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 211 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 151 | | ratio | 0.06 | | matches | | 0 | "But the Nest had a way of holding onto people, like a spider’s silk—soft, almost unnoticeable, until you tried to leave." | | 1 | "She hadn’t seen him in—what?" | | 2 | "His eyes, though—those hadn’t changed." | | 3 | "Evan’s eyes flicked toward the bar, and then—there it was." | | 4 | "“Not that small.” He slid onto the stool beside her, close enough that she could smell the rain on his coat, the faintest hint of cologne—something woody, expensive." | | 5 | "And his hands—she couldn’t help but notice—were steady." | | 6 | "“It is.” He studied her, his gaze lingering on the crescent-shaped scar on her wrist—the one he’d given her, though neither of them would ever say it out loud." | | 7 | "Then the door to the back room—the one behind the bookshelf, the one she wasn’t supposed to know about—creaked open, and Silas stepped out." | | 8 | "That was the thing about Silas—he knew when to talk and when to listen." |
| |
| 89.89% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 895 | | adjectiveStacks | 1 | | stackExamples | | 0 | "same unsettling green, like" |
| | adverbCount | 40 | | adverbRatio | 0.0446927374301676 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.00558659217877095 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 151 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 151 | | mean | 8.82 | | std | 7.06 | | cv | 0.8 | | sampleLengths | | 0 | 28 | | 1 | 17 | | 2 | 24 | | 3 | 7 | | 4 | 28 | | 5 | 21 | | 6 | 18 | | 7 | 4 | | 8 | 23 | | 9 | 5 | | 10 | 11 | | 11 | 2 | | 12 | 8 | | 13 | 5 | | 14 | 4 | | 15 | 1 | | 16 | 3 | | 17 | 3 | | 18 | 2 | | 19 | 2 | | 20 | 5 | | 21 | 2 | | 22 | 1 | | 23 | 17 | | 24 | 26 | | 25 | 3 | | 26 | 1 | | 27 | 19 | | 28 | 5 | | 29 | 13 | | 30 | 5 | | 31 | 35 | | 32 | 6 | | 33 | 3 | | 34 | 1 | | 35 | 4 | | 36 | 7 | | 37 | 4 | | 38 | 10 | | 39 | 1 | | 40 | 8 | | 41 | 12 | | 42 | 10 | | 43 | 1 | | 44 | 4 | | 45 | 22 | | 46 | 6 | | 47 | 8 | | 48 | 4 | | 49 | 28 |
| |
| 54.75% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.3841059602649007 | | totalSentences | 151 | | uniqueOpeners | 58 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 104 | | matches | | 0 | "Just a quick drink after" | | 1 | "Then the bar went quiet." | | 2 | "Instead, she took a sip," | | 3 | "Of course he was." | | 4 | "Then the door to the" | | 5 | "Then he nodded, once, and" |
| | ratio | 0.058 | |
| 66.15% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 104 | | matches | | 0 | "She hadn’t meant to stay" | | 1 | "She was too busy watching" | | 2 | "Her breath hitched." | | 3 | "It wasn’t possible." | | 4 | "She hadn’t seen him in—what?" | | 5 | "He stood just inside the" | | 6 | "He looked different." | | 7 | "His eyes, though—those hadn’t changed." | | 8 | "He hadn’t noticed her yet." | | 9 | "He was too busy scanning" | | 10 | "She should leave." | | 11 | "He hesitated, just for a" | | 12 | "he said, and his voice" | | 13 | "She forced a smile, sharp" | | 14 | "He slid onto the stool" | | 15 | "She wanted to laugh." | | 16 | "She wanted to throw her" | | 17 | "He didn’t look good." | | 18 | "He looked like a man" | | 19 | "She didn’t pull away." |
| | ratio | 0.385 | |
| 89.81% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 77 | | totalSentences | 104 | | matches | | 0 | "The Raven’s Nest hummed with" | | 1 | "The green neon sign outside" | | 2 | "Rory leaned against the bar," | | 3 | "She hadn’t meant to stay" | | 4 | "The door swung open, letting" | | 5 | "Rory didn’t look up." | | 6 | "She was too busy watching" | | 7 | "Rory finally lifted her gaze." | | 8 | "Her breath hitched." | | 9 | "It wasn’t possible." | | 10 | "She hadn’t seen him in—what?" | | 11 | "Time had a way of" | | 12 | "He stood just inside the" | | 13 | "He looked different." | | 14 | "The sharp angles of his" | | 15 | "His eyes, though—those hadn’t changed." | | 16 | "He hadn’t noticed her yet." | | 17 | "He was too busy scanning" | | 18 | "Rory’s fingers tightened around her" | | 19 | "She should leave." |
| | ratio | 0.74 | |
| 96.15% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 104 | | matches | | 0 | "Before he saw her." | | 1 | "Before this became something she" |
| | ratio | 0.019 | |
| 96.27% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 3 | | matches | | 0 | "The Raven’s Nest hummed with the low murmur of conversation and the clink of glasses, the kind of sound that settled into the bones like a second heartbeat." | | 1 | "The kind of voice that had once made her stomach flip, back when she still believed in the things he told her." | | 2 | "Or if some part of her would always be looking over her shoulder, waiting for him to come back." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 3 | | matches | | 0 | "he said, and his voice was the same too" | | 1 | "He paused, as if waiting for her to ask with what" | | 2 | "Silas asked, his voice deceptively mild" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 42 | | tagDensity | 0.095 | | leniency | 0.19 | | rawRatio | 0 | | effectiveRatio | 0 | |