| 79.52% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 38 | | adverbTagCount | 5 | | adverbTags | | 0 | "Silas leaned back [back]" | | 1 | "She pulled back [back]" | | 2 | "Silas gestured around [around]" | | 3 | "He leaned back [back]" | | 4 | "She looked away [away]" |
| | dialogueSentences | 83 | | tagDensity | 0.458 | | leniency | 0.916 | | rawRatio | 0.132 | | effectiveRatio | 0.12 | |
| 95.82% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1195 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1195 | | totalAiIsms | 24 | | found | | | highlights | | 0 | "flickered" | | 1 | "scanning" | | 2 | "familiar" | | 3 | "weight" | | 4 | "eyebrow" | | 5 | "dancing" | | 6 | "facade" | | 7 | "tension" | | 8 | "potential" | | 9 | "unwavering" | | 10 | "etched" | | 11 | "raced" | | 12 | "reminder" | | 13 | "warmth" |
| |
| 0.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 6 | | maxInWindow | 4 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
| | 1 | | label | "weight of words/silence" | | count | 2 |
| | 2 | | label | "hung in the air" | | count | 2 |
| | 3 | | label | "flicker of emotion" | | count | 1 |
|
| | highlights | | 0 | "clenched her jaw" | | 1 | "the weight of her words" | | 2 | "the weight of his words" | | 3 | "hung in the air" | | 4 | "a glimmer of hope" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 63 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 63 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 108 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1192 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 60.71% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 672 | | uniqueNames | 5 | | maxNameDensity | 1.79 | | worstName | "Silas" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Silas | 12 | | Evan | 1 | | Rory | 8 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Evan" | | 4 | "Rory" |
| | places | (empty) | | globalScore | 0.607 | | windowScore | 0.833 | |
| 63.79% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a refuge, a place where she c" | | 1 | "quite mask the tension in his shoulders" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1192 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 108 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 22.92 | | std | 12.6 | | cv | 0.55 | | sampleLengths | | 0 | 72 | | 1 | 73 | | 2 | 30 | | 3 | 36 | | 4 | 29 | | 5 | 26 | | 6 | 15 | | 7 | 12 | | 8 | 16 | | 9 | 19 | | 10 | 20 | | 11 | 31 | | 12 | 21 | | 13 | 19 | | 14 | 17 | | 15 | 21 | | 16 | 30 | | 17 | 19 | | 18 | 23 | | 19 | 14 | | 20 | 18 | | 21 | 8 | | 22 | 30 | | 23 | 21 | | 24 | 17 | | 25 | 23 | | 26 | 29 | | 27 | 16 | | 28 | 17 | | 29 | 18 | | 30 | 18 | | 31 | 25 | | 32 | 19 | | 33 | 15 | | 34 | 23 | | 35 | 16 | | 36 | 23 | | 37 | 17 | | 38 | 20 | | 39 | 28 | | 40 | 19 | | 41 | 22 | | 42 | 16 | | 43 | 22 | | 44 | 24 | | 45 | 18 | | 46 | 14 | | 47 | 54 | | 48 | 8 | | 49 | 1 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 63 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 120 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 108 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 675 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.02666666666666667 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.002962962962962963 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 108 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 108 | | mean | 11.04 | | std | 5.24 | | cv | 0.474 | | sampleLengths | | 0 | 20 | | 1 | 18 | | 2 | 18 | | 3 | 16 | | 4 | 22 | | 5 | 16 | | 6 | 18 | | 7 | 17 | | 8 | 8 | | 9 | 16 | | 10 | 6 | | 11 | 6 | | 12 | 25 | | 13 | 5 | | 14 | 20 | | 15 | 9 | | 16 | 21 | | 17 | 5 | | 18 | 10 | | 19 | 5 | | 20 | 7 | | 21 | 5 | | 22 | 13 | | 23 | 3 | | 24 | 14 | | 25 | 5 | | 26 | 8 | | 27 | 12 | | 28 | 14 | | 29 | 5 | | 30 | 12 | | 31 | 7 | | 32 | 14 | | 33 | 13 | | 34 | 6 | | 35 | 12 | | 36 | 5 | | 37 | 11 | | 38 | 10 | | 39 | 14 | | 40 | 16 | | 41 | 8 | | 42 | 11 | | 43 | 15 | | 44 | 8 | | 45 | 11 | | 46 | 3 | | 47 | 8 | | 48 | 10 | | 49 | 3 |
| |
| 71.30% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4444444444444444 | | totalSentences | 108 | | uniqueOpeners | 48 | |
| 52.91% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 63 | | matches | | 0 | "Instead, she changed the subject." |
| | ratio | 0.016 | |
| 4.13% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 63 | | matches | | 0 | "She paused, taking in the" | | 1 | "She spotted Silas, his grey-streaked" | | 2 | "He set the glass down" | | 3 | "she replied, stepping closer" | | 4 | "He gestured to the patrons," | | 5 | "She shrugged, trying to sound" | | 6 | "He leaned in, lowering his" | | 7 | "She hesitated, the memories of" | | 8 | "She appreciated the offer, but" | | 9 | "He chuckled, the sound rich" | | 10 | "She raised an eyebrow, a" | | 11 | "he replied, his tone light" | | 12 | "He paused, his expression shifting" | | 13 | "He laughed, but the sound" | | 14 | "He studied her, his eyes" | | 15 | "She shot back, her voice" | | 16 | "He raised an eyebrow, a" | | 17 | "She leaned in, lowering her" | | 18 | "She rolled her eyes, but" | | 19 | "His gaze pierced through her" |
| | ratio | 0.54 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 63 | | matches | | 0 | "The Raven's Nest hummed with" | | 1 | "Silas stood behind the counter," | | 2 | "The walls, adorned with old" | | 3 | "Rory pushed through the heavy" | | 4 | "She paused, taking in the" | | 5 | "The bar felt like a" | | 6 | "She spotted Silas, his grey-streaked" | | 7 | "Silas called, his voice warm" | | 8 | "He set the glass down" | | 9 | "she replied, stepping closer" | | 10 | "The years melted away as" | | 11 | "He gestured to the patrons," | | 12 | "She shrugged, trying to sound" | | 13 | "Silas studied her, his expression" | | 14 | "Rory chuckled, but the sound" | | 15 | "He leaned in, lowering his" | | 16 | "She hesitated, the memories of" | | 17 | "Silas nodded, but his eyes" | | 18 | "She appreciated the offer, but" | | 19 | "He chuckled, the sound rich" |
| | ratio | 0.937 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 63 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 19 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 38 | | uselessAdditionCount | 17 | | matches | | 0 | "Silas called, his voice warm and inviting" | | 1 | "He gestured, a mix of locals and tourists" | | 2 | "Silas nodded, but his eyes betrayed concern" | | 3 | "He paused, his expression shifting" | | 4 | "He studied, his eyes searching" | | 5 | "She shot back, her voice sharper than intended" | | 6 | "He raised, a hint of amusement in his eyes" | | 7 | "He leaned, his voice low" | | 8 | "She pulled back, frustration bubbling beneath the surface" | | 9 | "Silas’s tone softened, but the challenge lingered" | | 10 | "She shot back, her voice rising" | | 11 | "He leaned back, his expression softening" | | 12 | "She looked away, the vulnerability creeping in" | | 13 | "Silas chuckled, but the laughter faded" | | 14 | "He leaned, his voice low" | | 15 | "Silas smiled, a glimmer of hope in his eyes" | | 16 | "She nodded, the words feeling inadequate" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 3 | | fancyTags | | 0 | "He laughed (laugh)" | | 1 | "She laughed (laugh)" | | 2 | "Silas chuckled (chuckle)" |
| | dialogueSentences | 83 | | tagDensity | 0.072 | | leniency | 0.145 | | rawRatio | 0.5 | | effectiveRatio | 0.072 | |