| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 30 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said gently [gently]" |
| | dialogueSentences | 72 | | tagDensity | 0.417 | | leniency | 0.833 | | rawRatio | 0.033 | | effectiveRatio | 0.028 | |
| 67.14% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1065 | | totalAiIsmAdverbs | 7 | | found | | 0 | | | 1 | | | 2 | | | 3 | | adverb | "barely above a whisper" | | count | 2 |
| | 4 | |
| | highlights | | 0 | "slightly" | | 1 | "softly" | | 2 | "really" | | 3 | "barely above a whisper" | | 4 | "gently" |
| |
| 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 | 1065 | | totalAiIsms | 24 | | found | | 0 | | | 1 | | | 2 | | word | "practiced ease" | | count | 1 |
| | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | |
| | highlights | | 0 | "flickered" | | 1 | "scanning" | | 2 | "practiced ease" | | 3 | "stark" | | 4 | "familiar" | | 5 | "echoing" | | 6 | "unspoken" | | 7 | "tinged" | | 8 | "furrowing" | | 9 | "eyebrow" | | 10 | "weight" | | 11 | "tension" | | 12 | "echoed" | | 13 | "whisper" | | 14 | "reminder" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
| | 1 | | label | "weight of words/silence" | | count | 1 |
|
| | highlights | | 0 | "clenched her fists" | | 1 | "the weight of his words" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 53 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 53 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 95 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1062 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 23 | | unquotedAttributions | 0 | | matches | (empty) | |
| 81.15% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 581 | | uniqueNames | 4 | | maxNameDensity | 1.38 | | worstName | "Silas" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Rory" | | 3 | "Silas" |
| | places | (empty) | | globalScore | 0.812 | | windowScore | 1 | |
| 25.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 40 | | glossingSentenceCount | 2 | | matches | | 0 | "quite reach her eyes" | | 1 | "quite shake off" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1062 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 95 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 23.6 | | std | 12.88 | | cv | 0.546 | | sampleLengths | | 0 | 90 | | 1 | 31 | | 2 | 38 | | 3 | 18 | | 4 | 15 | | 5 | 27 | | 6 | 42 | | 7 | 20 | | 8 | 24 | | 9 | 36 | | 10 | 22 | | 11 | 30 | | 12 | 17 | | 13 | 36 | | 14 | 12 | | 15 | 18 | | 16 | 8 | | 17 | 11 | | 18 | 19 | | 19 | 23 | | 20 | 20 | | 21 | 24 | | 22 | 23 | | 23 | 12 | | 24 | 23 | | 25 | 18 | | 26 | 26 | | 27 | 22 | | 28 | 18 | | 29 | 12 | | 30 | 20 | | 31 | 21 | | 32 | 22 | | 33 | 18 | | 34 | 19 | | 35 | 13 | | 36 | 37 | | 37 | 26 | | 38 | 20 | | 39 | 10 | | 40 | 21 | | 41 | 15 | | 42 | 34 | | 43 | 15 | | 44 | 36 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 53 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 112 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 95 | | ratio | 0 | | matches | (empty) | |
| 93.04% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 584 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 24 | | adverbRatio | 0.0410958904109589 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.011986301369863013 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 95 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 95 | | mean | 11.18 | | std | 5.53 | | cv | 0.494 | | sampleLengths | | 0 | 20 | | 1 | 22 | | 2 | 18 | | 3 | 30 | | 4 | 9 | | 5 | 22 | | 6 | 16 | | 7 | 18 | | 8 | 4 | | 9 | 9 | | 10 | 9 | | 11 | 7 | | 12 | 8 | | 13 | 14 | | 14 | 13 | | 15 | 26 | | 16 | 8 | | 17 | 8 | | 18 | 9 | | 19 | 11 | | 20 | 19 | | 21 | 5 | | 22 | 25 | | 23 | 11 | | 24 | 13 | | 25 | 9 | | 26 | 11 | | 27 | 19 | | 28 | 11 | | 29 | 6 | | 30 | 17 | | 31 | 19 | | 32 | 9 | | 33 | 3 | | 34 | 10 | | 35 | 8 | | 36 | 3 | | 37 | 5 | | 38 | 6 | | 39 | 5 | | 40 | 9 | | 41 | 10 | | 42 | 7 | | 43 | 16 | | 44 | 15 | | 45 | 5 | | 46 | 9 | | 47 | 15 | | 48 | 10 | | 49 | 13 |
| |
| 62.81% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.3894736842105263 | | totalSentences | 95 | | uniqueOpeners | 37 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 53 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 53 | | matches | | 0 | "He caught sight of Rory" | | 1 | "He wiped his hands on" | | 2 | "she replied, a smile tugging" | | 3 | "She stepped closer, the familiar" | | 4 | "he said, his voice low" | | 5 | "she shrugged, glancing around the" | | 6 | "he chuckled, gesturing to the" | | 7 | "She turned back to Silas," | | 8 | "he admitted, his eyes narrowing" | | 9 | "she said, her voice steady" | | 10 | "she shot back, a hint" | | 11 | "He chuckled softly, the sound" | | 12 | "she asked, her brow furrowing" | | 13 | "he replied, his expression shifting" | | 14 | "she said, her voice firm" | | 15 | "he said, his tone softening" | | 16 | "she shot back, her voice" | | 17 | "he replied, his gaze steady" | | 18 | "She turned away, her eyes" | | 19 | "he pressed, leaning closer, his" |
| | ratio | 0.736 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 53 | | matches | | 0 | "The Raven's Nest hummed with" | | 1 | "Silas stood behind the counter," | | 2 | "He caught sight of Rory" | | 3 | "Silas called, a grin breaking" | | 4 | "He wiped his hands on" | | 5 | "she replied, a smile tugging" | | 6 | "She stepped closer, the familiar" | | 7 | "he said, his voice low" | | 8 | "she shrugged, glancing around the" | | 9 | "he chuckled, gesturing to the" | | 10 | "Rory nodded, her gaze drifting" | | 11 | "She turned back to Silas," | | 12 | "he admitted, his eyes narrowing" | | 13 | "she said, her voice steady" | | 14 | "Silas studied her, the way" | | 15 | "she shot back, a hint" | | 16 | "He chuckled softly, the sound" | | 17 | "she asked, her brow furrowing" | | 18 | "he replied, his expression shifting" | | 19 | "she said, her voice firm" |
| | ratio | 0.981 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 53 | | matches | (empty) | | ratio | 0 | |
| 40.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 3 | | matches | | 0 | "Rory nodded, her gaze drifting to a group of men in the corner, their laughter echoing like ghosts of a past she couldn’t quite shake off." | | 1 | "She turned away, her eyes scanning the bar again, avoiding the weight of his words." | | 2 | "She turned to leave, the door swinging shut behind her, leaving Silas standing alone, the weight of their conversation hanging in the air like a ghost." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 30 | | uselessAdditionCount | 22 | | matches | | 0 | "Silas called, a grin breaking across his face" | | 1 | "he said, his voice low and warm" | | 2 | "he admitted, his eyes narrowing slightly" | | 3 | "she shot back, a hint of challenge in her tone" | | 4 | "she asked, her brow furrowing" | | 5 | "he replied, his expression shifting to something more serious" | | 6 | "she said, her voice firm" | | 7 | "he said, his tone softening" | | 8 | "she shot back, her voice rising slightly" | | 9 | "he replied, his gaze steady" | | 10 | "he echoed, his brow furrowing" | | 11 | "she said, her voice barely above a whisper" | | 12 | "he urged, his expression earnest" | | 13 | "she snapped, her frustration bubbling to the surface" | | 14 | "she shot back, her eyes flashing" | | 15 | "he asked, his voice steady" | | 16 | "she replied, her voice softening" | | 17 | "she admitted, her voice barely above a whisper" | | 18 | "he offered, his eyes earnest" | | 19 | "he replied, a hint of sadness in his voice" | | 20 | "he suggested, his tone hopeful" | | 21 | "he said, his voice steady" |
| |
| 38.89% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 24 | | fancyCount | 8 | | fancyTags | | 0 | "he chuckled (chuckle)" | | 1 | "he admitted (admit)" | | 2 | "he pressed (press)" | | 3 | "he urged (urge)" | | 4 | "she snapped (snap)" | | 5 | "she admitted (admit)" | | 6 | "he suggested (suggest)" | | 7 | "she promised (promise)" |
| | dialogueSentences | 72 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.333 | | effectiveRatio | 0.222 | |