| 18.18% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 4 | | adverbTags | | 0 | "She glanced around [around]" | | 1 | "Eva asked suddenly [suddenly]" | | 2 | "He leaned back [back]" | | 3 | "Silas spoke quietly [quietly]" |
| | dialogueSentences | 44 | | tagDensity | 0.341 | | leniency | 0.682 | | rawRatio | 0.267 | | effectiveRatio | 0.182 | |
| 93.95% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 826 | | 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) | |
| 3.15% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 826 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "echoing" | | 1 | "scanning" | | 2 | "flickered" | | 3 | "silence" | | 4 | "weight" | | 5 | "traced" | | 6 | "flicked" | | 7 | "unspoken" | | 8 | "flicker" | | 9 | "measured" | | 10 | "tracing" | | 11 | "unreadable" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 65 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 65 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 93 | | 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 | 0 | | markdownWords | 0 | | totalWords | 823 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 74.75% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 598 | | uniqueNames | 7 | | maxNameDensity | 1.51 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Carter | 1 | | Aurora | 9 | | Blackwood | 1 | | Silas | 8 | | Eva | 5 |
| | persons | | 0 | "Nest" | | 1 | "Carter" | | 2 | "Aurora" | | 3 | "Blackwood" | | 4 | "Silas" | | 5 | "Eva" |
| | places | | | globalScore | 0.747 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 78.49% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.215 | | wordCount | 823 | | matches | | 0 | "not with grand declarations, but with the quiet truth of scars, of missed chances, of lives l" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 93 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 20.07 | | std | 14.29 | | cv | 0.712 | | sampleLengths | | 0 | 78 | | 1 | 7 | | 2 | 41 | | 3 | 18 | | 4 | 17 | | 5 | 26 | | 6 | 25 | | 7 | 15 | | 8 | 27 | | 9 | 45 | | 10 | 16 | | 11 | 17 | | 12 | 10 | | 13 | 15 | | 14 | 21 | | 15 | 16 | | 16 | 16 | | 17 | 10 | | 18 | 31 | | 19 | 14 | | 20 | 3 | | 21 | 35 | | 22 | 11 | | 23 | 9 | | 24 | 13 | | 25 | 17 | | 26 | 10 | | 27 | 23 | | 28 | 16 | | 29 | 9 | | 30 | 20 | | 31 | 14 | | 32 | 45 | | 33 | 11 | | 34 | 12 | | 35 | 11 | | 36 | 10 | | 37 | 51 | | 38 | 13 | | 39 | 7 | | 40 | 18 |
| |
| 99.87% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 65 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 110 | | matches | (empty) | |
| 50.69% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 93 | | ratio | 0.032 | | matches | | 0 | "Aurora’s gaze flicked to her own hands—still steady, still marked by the small crescent scar on her wrist." | | 1 | "A flicker of something crossed her face—regret, perhaps, or recognition." | | 2 | "Inside, the conversation began—not with grand declarations, but with the quiet truth of scars, of missed chances, of lives lived in the spaces between what was said and what was meant." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 604 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.029801324503311258 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.008278145695364239 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 93 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 93 | | mean | 8.85 | | std | 5.36 | | cv | 0.605 | | sampleLengths | | 0 | 17 | | 1 | 15 | | 2 | 7 | | 3 | 22 | | 4 | 17 | | 5 | 7 | | 6 | 4 | | 7 | 22 | | 8 | 11 | | 9 | 4 | | 10 | 10 | | 11 | 8 | | 12 | 7 | | 13 | 7 | | 14 | 3 | | 15 | 5 | | 16 | 14 | | 17 | 7 | | 18 | 18 | | 19 | 7 | | 20 | 12 | | 21 | 3 | | 22 | 18 | | 23 | 9 | | 24 | 13 | | 25 | 17 | | 26 | 15 | | 27 | 10 | | 28 | 6 | | 29 | 3 | | 30 | 13 | | 31 | 1 | | 32 | 6 | | 33 | 4 | | 34 | 10 | | 35 | 5 | | 36 | 11 | | 37 | 10 | | 38 | 7 | | 39 | 4 | | 40 | 5 | | 41 | 8 | | 42 | 8 | | 43 | 2 | | 44 | 8 | | 45 | 7 | | 46 | 18 | | 47 | 6 | | 48 | 14 | | 49 | 2 |
| |
| 73.48% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.44086021505376344 | | totalSentences | 93 | | uniqueOpeners | 41 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 75.74% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 61 | | matches | | 0 | "She paused, scanning the dimly" | | 1 | "Her eyes landed on a" | | 2 | "His hair, once a wild" | | 3 | "he said, voice deeper, roughened" | | 4 | "She slid onto the stool" | | 5 | "He chuckled, a dry sound." | | 6 | "His fingers traced the rim" | | 7 | "She glanced around, noting the" | | 8 | "He leaned forward, elbows on" | | 9 | "He’d seen this before: the" | | 10 | "Her jaw tightened." | | 11 | "She met his gaze" | | 12 | "He shrugged, the motion slow," | | 13 | "She didn’t touch it." | | 14 | "His name hung between them" | | 15 | "He took a sip, then" | | 16 | "He leaned back, studying her" | | 17 | "Her eyes dropped to her" | | 18 | "He reached into his pocket," | | 19 | "She took it, tracing the" |
| | ratio | 0.361 | |
| 0.98% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 61 | | matches | | 0 | "The air inside The Raven’s" | | 1 | "Aurora Carter pushed open the" | | 2 | "She paused, scanning the dimly" | | 3 | "The green neon sign flickered" | | 4 | "Her eyes landed on a" | | 5 | "Aurora’s voice cut through the" | | 6 | "The man looked up." | | 7 | "His hair, once a wild" | | 8 | "Hazel eyes narrowed, assessing." | | 9 | "he said, voice deeper, roughened" | | 10 | "She slid onto the stool" | | 11 | "The bar stools groaned under" | | 12 | "He chuckled, a dry sound." | | 13 | "His fingers traced the rim" | | 14 | "She glanced around, noting the" | | 15 | "He leaned forward, elbows on" | | 16 | "Aurora’s gaze flicked to her" | | 17 | "Silas Blackwood watched from behind" | | 18 | "The old mentor’s fingers drummed" | | 19 | "He’d seen this before: the" |
| | ratio | 0.918 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 1 | | matches | | 0 | "The neon sign outside flickered once more, casting green shadows that lingered long after the lights went out." |
| |
| 58.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 2 | | matches | | 0 | "he said, voice deeper, roughened by years of silence" | | 1 | "Silas called, his voice calm but edged with curiosity" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | 0 | "Silas spoke quietly (speak)" |
| | dialogueSentences | 44 | | tagDensity | 0.136 | | leniency | 0.273 | | rawRatio | 0.167 | | effectiveRatio | 0.045 | |