| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 1 | | adverbTags | | 0 | "Evan said finally [finally]" |
| | dialogueSentences | 20 | | tagDensity | 0.45 | | leniency | 0.9 | | rawRatio | 0.111 | | effectiveRatio | 0.1 | |
| 82.06% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 836 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "really" | | 1 | "slowly" | | 2 | "softly" |
| |
| 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) | |
| 10.29% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 836 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "warmth" | | 1 | "chill" | | 2 | "familiar" | | 3 | "glinting" | | 4 | "footsteps" | | 5 | "stomach" | | 6 | "silence" | | 7 | "could feel" | | 8 | "unspoken" | | 9 | "weight" | | 10 | "reminder" | | 11 | "unreadable" |
| |
| 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 | 62 | | matches | (empty) | |
| 96.77% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 62 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 73 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 829 | | ratio | 0 | | matches | (empty) | |
| 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 | 28 | | wordCount | 752 | | uniqueNames | 6 | | maxNameDensity | 1.2 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Evan" | | discoveredNames | | Raven | 2 | | Nest | 2 | | London | 1 | | Rory | 9 | | Silas | 5 | | Evan | 9 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Rory" | | 3 | "Silas" | | 4 | "Evan" |
| | places | | | globalScore | 0.902 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 1 | | matches | | 0 | "as if bracing for impact" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 829 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 73 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 24.38 | | std | 19 | | cv | 0.779 | | sampleLengths | | 0 | 101 | | 1 | 45 | | 2 | 10 | | 3 | 11 | | 4 | 43 | | 5 | 30 | | 6 | 1 | | 7 | 21 | | 8 | 65 | | 9 | 17 | | 10 | 16 | | 11 | 31 | | 12 | 28 | | 13 | 25 | | 14 | 11 | | 15 | 3 | | 16 | 35 | | 17 | 7 | | 18 | 31 | | 19 | 12 | | 20 | 6 | | 21 | 21 | | 22 | 28 | | 23 | 24 | | 24 | 8 | | 25 | 37 | | 26 | 14 | | 27 | 17 | | 28 | 19 | | 29 | 37 | | 30 | 9 | | 31 | 17 | | 32 | 33 | | 33 | 16 |
| |
| 93.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 62 | | matches | | 0 | "were shoved" | | 1 | "was gone" |
| |
| 16.09% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 145 | | matches | | 0 | "was watching" | | 1 | "wasn’t looking" | | 2 | "were shaking" | | 3 | "weren’t saying" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 73 | | ratio | 0.055 | | matches | | 0 | "She hadn’t planned on coming here tonight—hadn’t planned on much of anything, really, after another long shift delivering takeaway containers of steaming noodles and dumplings across the city." | | 1 | "Instead, he poured her a finger of whiskey—the good stuff, the kind he kept under the counter for people who mattered—and pushed it toward her." | | 2 | "He looked older—of course he did, it had been years—but it was more than that." | | 3 | "He smiled, just a little, and for a second, she saw the boy she’d known—the one who used to make her laugh until her ribs ached." |
| |
| 99.22% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 758 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 31 | | adverbRatio | 0.040897097625329816 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.009234828496042216 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 73 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 73 | | mean | 11.36 | | std | 7.08 | | cv | 0.623 | | sampleLengths | | 0 | 23 | | 1 | 29 | | 2 | 28 | | 3 | 21 | | 4 | 17 | | 5 | 15 | | 6 | 13 | | 7 | 10 | | 8 | 7 | | 9 | 4 | | 10 | 3 | | 11 | 3 | | 12 | 25 | | 13 | 12 | | 14 | 18 | | 15 | 12 | | 16 | 1 | | 17 | 12 | | 18 | 9 | | 19 | 14 | | 20 | 15 | | 21 | 22 | | 22 | 14 | | 23 | 8 | | 24 | 9 | | 25 | 16 | | 26 | 5 | | 27 | 24 | | 28 | 2 | | 29 | 8 | | 30 | 10 | | 31 | 10 | | 32 | 18 | | 33 | 7 | | 34 | 11 | | 35 | 2 | | 36 | 1 | | 37 | 26 | | 38 | 9 | | 39 | 7 | | 40 | 11 | | 41 | 11 | | 42 | 5 | | 43 | 4 | | 44 | 12 | | 45 | 2 | | 46 | 4 | | 47 | 16 | | 48 | 5 | | 49 | 10 |
| |
| 52.97% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.3424657534246575 | | totalSentences | 73 | | uniqueOpeners | 25 | |
| 56.50% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 59 | | matches | | 0 | "Instead, he poured her a" |
| | ratio | 0.017 | |
| 57.29% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 59 | | matches | | 0 | "She hadn’t planned on coming" | | 1 | "His silver signet ring caught" | | 2 | "He looked up as Rory" | | 3 | "he said, setting the glass" | | 4 | "He never did." | | 5 | "She took it without hesitation," | | 6 | "She turned slowly, her fingers" | | 7 | "He looked older—of course he" | | 8 | "His hands were shoved into" | | 9 | "She glanced at Silas, who" | | 10 | "She wasn’t sure if she" | | 11 | "His fingers tapped restlessly against" | | 12 | "He smiled, just a little," | | 13 | "She took another sip of" | | 14 | "She could feel him waiting," | | 15 | "She hadn’t expected that." | | 16 | "He wasn’t looking at her" | | 17 | "She wanted to laugh, or" | | 18 | "she said, her voice low" | | 19 | "She curled them into fists," |
| | ratio | 0.407 | |
| 36.27% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 50 | | totalSentences | 59 | | matches | | 0 | "The Raven's Nest smelled of" | | 1 | "Rory wiped her damp palms" | | 2 | "She hadn’t planned on coming" | | 3 | "Silas was behind the bar," | | 4 | "His silver signet ring caught" | | 5 | "He looked up as Rory" | | 6 | "he said, setting the glass" | | 7 | "Rory muttered, sliding onto a" | | 8 | "Silas didn’t ask." | | 9 | "He never did." | | 10 | "She took it without hesitation," | | 11 | "The door opened again, letting" | | 12 | "Rory didn’t turn, not until" | | 13 | "The voice was familiar in" | | 14 | "She turned slowly, her fingers" | | 15 | "Evan stood there, his face" | | 16 | "He looked older—of course he" | | 17 | "The sharp edges of his" | | 18 | "His hands were shoved into" | | 19 | "The bar seemed to hold" |
| | ratio | 0.847 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 59 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 1 | | matches | | 0 | "His hands were shoved into his pockets, shoulders hunched as if bracing for impact." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 3 | | matches | | 0 | "Evan said, his voice quieter than she remembered" | | 1 | "Evan said finally, his gaze flickering over her" | | 2 | "she said, her voice low" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | 0 | "Rory muttered (mutter)" |
| | dialogueSentences | 20 | | tagDensity | 0.35 | | leniency | 0.7 | | rawRatio | 0.143 | | effectiveRatio | 0.1 | |