| 82.35% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 3 | | adverbTags | | 0 | "he said softly [softly]" | | 1 | "she asked suddenly [suddenly]" | | 2 | "she said softly [softly]" |
| | dialogueSentences | 51 | | tagDensity | 0.294 | | leniency | 0.588 | | rawRatio | 0.2 | | effectiveRatio | 0.118 | |
| 63.46% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 821 | | totalAiIsmAdverbs | 6 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 1 |
| | 2 | | | 3 | | | 4 | |
| | highlights | | 0 | "sharply" | | 1 | "barely above a whisper" | | 2 | "softly" | | 3 | "suddenly" | | 4 | "slightly" |
| |
| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 821 | | totalAiIsms | 26 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | word | "skipped a beat" | | count | 1 |
| | 12 | | | 13 | | | 14 | | | 15 | |
| | highlights | | 0 | "familiar" | | 1 | "weight" | | 2 | "scanned" | | 3 | "wavered" | | 4 | "silence" | | 5 | "unspoken" | | 6 | "echoed" | | 7 | "etched" | | 8 | "tracing" | | 9 | "eyebrow" | | 10 | "whisper" | | 11 | "skipped a beat" | | 12 | "flicked" | | 13 | "comfortable" | | 14 | "warmth" | | 15 | "sense of" |
| |
| 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 | 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 | 100 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 22 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 818 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 1 | | matches | | 0 | "Finally, Aurora spoke." |
| |
| 41.30% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 552 | | uniqueNames | 7 | | maxNameDensity | 2.17 | | worstName | "Aurora" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Aurora" | | discoveredNames | | Carter | 1 | | Raven | 1 | | Nest | 1 | | Silas | 11 | | Blackwood | 1 | | Aurora | 12 | | Finally | 3 |
| | persons | | 0 | "Carter" | | 1 | "Raven" | | 2 | "Silas" | | 3 | "Blackwood" | | 4 | "Aurora" | | 5 | "Finally" |
| | places | (empty) | | globalScore | 0.413 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | 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 | 818 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 100 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 16.69 | | std | 10.38 | | cv | 0.622 | | sampleLengths | | 0 | 4 | | 1 | 56 | | 2 | 11 | | 3 | 30 | | 4 | 13 | | 5 | 6 | | 6 | 22 | | 7 | 5 | | 8 | 31 | | 9 | 10 | | 10 | 43 | | 11 | 14 | | 12 | 26 | | 13 | 6 | | 14 | 10 | | 15 | 11 | | 16 | 6 | | 17 | 11 | | 18 | 27 | | 19 | 20 | | 20 | 8 | | 21 | 30 | | 22 | 17 | | 23 | 12 | | 24 | 14 | | 25 | 16 | | 26 | 11 | | 27 | 17 | | 28 | 10 | | 29 | 11 | | 30 | 14 | | 31 | 27 | | 32 | 11 | | 33 | 24 | | 34 | 4 | | 35 | 8 | | 36 | 20 | | 37 | 15 | | 38 | 10 | | 39 | 15 | | 40 | 26 | | 41 | 29 | | 42 | 13 | | 43 | 9 | | 44 | 10 | | 45 | 28 | | 46 | 8 | | 47 | 12 | | 48 | 27 |
| |
| 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 | 110 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 100 | | ratio | 0.01 | | matches | | 0 | "His hazel eyes, still sharp, bore into hers with a mixture of curiosity and something else—regret, perhaps." |
| |
| 86.55% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 554 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 26 | | adverbRatio | 0.04693140794223827 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.021660649819494584 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 100 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 100 | | mean | 8.18 | | std | 4.62 | | cv | 0.565 | | sampleLengths | | 0 | 4 | | 1 | 8 | | 2 | 13 | | 3 | 22 | | 4 | 13 | | 5 | 11 | | 6 | 13 | | 7 | 17 | | 8 | 8 | | 9 | 5 | | 10 | 4 | | 11 | 2 | | 12 | 11 | | 13 | 6 | | 14 | 5 | | 15 | 4 | | 16 | 1 | | 17 | 12 | | 18 | 12 | | 19 | 4 | | 20 | 3 | | 21 | 10 | | 22 | 12 | | 23 | 17 | | 24 | 14 | | 25 | 7 | | 26 | 7 | | 27 | 11 | | 28 | 15 | | 29 | 4 | | 30 | 2 | | 31 | 10 | | 32 | 7 | | 33 | 4 | | 34 | 5 | | 35 | 1 | | 36 | 8 | | 37 | 3 | | 38 | 7 | | 39 | 9 | | 40 | 11 | | 41 | 9 | | 42 | 11 | | 43 | 6 | | 44 | 2 | | 45 | 15 | | 46 | 5 | | 47 | 10 | | 48 | 9 | | 49 | 8 |
| |
| 64.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.43 | | totalSentences | 100 | | uniqueOpeners | 43 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 62 | | matches | | 0 | "Finally, Silas gestured to the" | | 1 | "Finally, Silas broke the silence." | | 2 | "Finally, Aurora spoke." |
| | ratio | 0.048 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 62 | | matches | | 0 | "She scanned the dimly lit" | | 1 | "Her voice wavered, betraying a" | | 2 | "His hazel eyes, still sharp," | | 3 | "he said, his voice a" | | 4 | "She nodded, swallowing hard." | | 5 | "They stood there, the silence" | | 6 | "They slid into the booth," | | 7 | "He raised his glass." | | 8 | "she echoed, clinking her glass" | | 9 | "They drank in silence, the" | | 10 | "He looked older, more worn," | | 11 | "he began, setting his glass" | | 12 | "she replied, her voice barely" | | 13 | "He nodded, understanding flickering in" | | 14 | "Her heart skipped a beat." | | 15 | "he said, his tone gentle" | | 16 | "She looked away, the memories" | | 17 | "she said, more to convince" | | 18 | "She nodded, grateful for the" | | 19 | "They sat in silence for" |
| | ratio | 0.581 | |
| 0.32% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 62 | | matches | | 0 | "Aurora Carter turned sharply, nearly" | | 1 | "The voice was familiar, yet" | | 2 | "She scanned the dimly lit" | | 3 | "There, by the corner booth," | | 4 | "Her voice wavered, betraying a" | | 5 | "Silas Blackwood, the once formidable" | | 6 | "His hazel eyes, still sharp," | | 7 | "he said, his voice a" | | 8 | "She nodded, swallowing hard." | | 9 | "They stood there, the silence" | | 10 | "Aurora hesitated, then nodded." | | 11 | "They slid into the booth," | | 12 | "Silas signaled to the bartender," | | 13 | "He raised his glass." | | 14 | "she echoed, clinking her glass" | | 15 | "They drank in silence, the" | | 16 | "Aurora studied Silas, noting the" | | 17 | "He looked older, more worn," | | 18 | "he began, setting his glass" | | 19 | "Aurora shrugged, tracing the rim" |
| | ratio | 0.919 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 3 | | matches | | 0 | "he said, his voice a low rumble" | | 1 | "she replied, her voice barely above a whisper" | | 2 | "he said, his tone gentle" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 51 | | tagDensity | 0.196 | | leniency | 0.392 | | rawRatio | 0.1 | | effectiveRatio | 0.039 | |