| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 4 | | adverbTags | | 0 | "He gestured vaguely [vaguely]" | | 1 | "he said finally [finally]" | | 2 | "he said eventually [eventually]" | | 3 | "he said quietly [quietly]" |
| | dialogueSentences | 25 | | tagDensity | 0.28 | | leniency | 0.56 | | rawRatio | 0.571 | | effectiveRatio | 0.32 | |
| 92.06% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 630 | | totalAiIsmAdverbs | 1 | | 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) | |
| 52.38% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 630 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "methodical" | | 1 | "silence" | | 2 | "familiar" | | 3 | "traced" | | 4 | "unreadable" | | 5 | "pulse" |
| |
| 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 | 1 | | narrationSentences | 71 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 71 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 95.70% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 89 | | gibberishSentences | 1 | | adjustedGibberishSentences | 1 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 21 | | ratio | 0.011 | | matches | | 0 | "She pushed it toward him with more一切的力气 than necessary." |
| |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 619 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 549 | | uniqueNames | 8 | | maxNameDensity | 1.82 | | worstName | "Evan" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Evan" | | discoveredNames | | Raven | 1 | | Nest | 1 | | London | 1 | | Evan-the-ex | 1 | | Evan-the-abusive-prick | 1 | | Evan | 10 | | Aurora | 6 | | Silas | 6 |
| | persons | | 0 | "Evan-the-ex" | | 1 | "Evan-the-abusive-prick" | | 2 | "Evan" | | 3 | "Aurora" | | 4 | "Silas" |
| | places | | | globalScore | 0.589 | | windowScore | 0.5 | |
| 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 | 619 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 89 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 14.4 | | std | 13.42 | | cv | 0.932 | | sampleLengths | | 0 | 73 | | 1 | 18 | | 2 | 2 | | 3 | 7 | | 4 | 10 | | 5 | 19 | | 6 | 8 | | 7 | 47 | | 8 | 3 | | 9 | 15 | | 10 | 5 | | 11 | 12 | | 12 | 9 | | 13 | 8 | | 14 | 5 | | 15 | 8 | | 16 | 8 | | 17 | 15 | | 18 | 29 | | 19 | 20 | | 20 | 18 | | 21 | 19 | | 22 | 7 | | 23 | 28 | | 24 | 8 | | 25 | 1 | | 26 | 2 | | 27 | 4 | | 28 | 14 | | 29 | 10 | | 30 | 6 | | 31 | 40 | | 32 | 7 | | 33 | 14 | | 34 | 18 | | 35 | 9 | | 36 | 3 | | 37 | 12 | | 38 | 28 | | 39 | 26 | | 40 | 9 | | 41 | 13 | | 42 | 2 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 71 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 109 | | matches | | |
| 14.45% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 89 | | ratio | 0.045 | | matches | | 0 | "The scar was old—almost forgotten—but she’d been thinking about it lately." | | 1 | "She glanced up—habit more than curiosity—and froze." | | 2 | "Aurora poured him a whiskey—neat, because she remembered." | | 3 | "She wanted to ask what he was doing here—how he’d even found her." |
| |
| 94.38% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 560 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.04642857142857143 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.01607142857142857 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 89 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 89 | | mean | 6.96 | | std | 5.1 | | cv | 0.733 | | sampleLengths | | 0 | 17 | | 1 | 14 | | 2 | 21 | | 3 | 11 | | 4 | 10 | | 5 | 9 | | 6 | 9 | | 7 | 2 | | 8 | 7 | | 9 | 8 | | 10 | 2 | | 11 | 12 | | 12 | 7 | | 13 | 8 | | 14 | 2 | | 15 | 2 | | 16 | 1 | | 17 | 1 | | 18 | 1 | | 19 | 4 | | 20 | 20 | | 21 | 16 | | 22 | 3 | | 23 | 7 | | 24 | 3 | | 25 | 5 | | 26 | 4 | | 27 | 1 | | 28 | 7 | | 29 | 5 | | 30 | 6 | | 31 | 1 | | 32 | 2 | | 33 | 7 | | 34 | 1 | | 35 | 3 | | 36 | 2 | | 37 | 8 | | 38 | 8 | | 39 | 12 | | 40 | 3 | | 41 | 5 | | 42 | 9 | | 43 | 15 | | 44 | 20 | | 45 | 12 | | 46 | 6 | | 47 | 8 | | 48 | 9 | | 49 | 2 |
| |
| 79.40% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.48314606741573035 | | totalSentences | 89 | | uniqueOpeners | 43 | |
| 55.56% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 60 | | matches | | 0 | "Instead, she jerked her chin" |
| | ratio | 0.017 | |
| 46.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 60 | | matches | | 0 | "he said without glancing up" | | 1 | "She smirked, tossing the rag" | | 2 | "She glanced up—habit more than" | | 3 | "He wore a navy peacoat," | | 4 | "His hands hovered awkwardly at" | | 5 | "He said nothing." | | 6 | "She was grateful for that." | | 7 | "He gestured vaguely at the" | | 8 | "Her tone was sharper than" | | 9 | "She wanted to say no." | | 10 | "he said finally" | | 11 | "She pushed it toward him" | | 12 | "He laughed, but it was" | | 13 | "They sat in silence while" | | 14 | "She watched the way his" | | 15 | "he said eventually" | | 16 | "he said quietly" | | 17 | "His jaw tightened." | | 18 | "It would never be good" | | 19 | "She wanted to ask what" |
| | ratio | 0.433 | |
| 35.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 60 | | matches | | 0 | "The neon sign buzzed overhead," | | 1 | "Aurora wiped down the bartop," | | 2 | "The scar was old—almost forgotten—but" | | 3 | "Silas shuffled behind her, stacking" | | 4 | "he said without glancing up" | | 5 | "She smirked, tossing the rag" | | 6 | "The door creaked open, letting" | | 7 | "She glanced up—habit more than" | | 8 | "Evan stood there, dripping rainwater" | | 9 | "He wore a navy peacoat," | | 10 | "His hands hovered awkwardly at" | | 11 | "Aurora’s throat tightened." | | 12 | "Silas straightened, his eyes flicking" | | 13 | "He said nothing." | | 14 | "She was grateful for that." | | 15 | "Evan cleared his throat." | | 16 | "The name sounded foreign on" | | 17 | "Nobody called her that anymore." | | 18 | "Silas nudged a glass toward" | | 19 | "Aurora exhaled, forced her fingers" |
| | ratio | 0.85 | |
| 83.33% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 60 | | matches | | | ratio | 0.017 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 25 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.2 | | effectiveRatio | 0.08 | |