| 94.74% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 2 | | adverbTags | | 0 | "he asked finally [finally]" | | 1 | "He hesitated then [then]" |
| | dialogueSentences | 38 | | tagDensity | 0.316 | | leniency | 0.632 | | rawRatio | 0.167 | | effectiveRatio | 0.105 | |
| 92.82% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 696 | | 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) | |
| 20.98% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 696 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "warmth" | | 1 | "flicked" | | 2 | "pulse" | | 3 | "silence" | | 4 | "traced" | | 5 | "weight" | | 6 | "unspoken" | | 7 | "furrowed" | | 8 | "shattered" | | 9 | "charm" |
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| 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 | 61 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 61 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 87 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 690 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 70.77% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 568 | | uniqueNames | 9 | | maxNameDensity | 1.58 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Rory | 9 | | Silas | 7 | | Cardiff | 1 | | Evan | 7 | | Black | 1 | | Cross | 1 | | Operations | 1 |
| | persons | | 0 | "Rory" | | 1 | "Silas" | | 2 | "Evan" | | 3 | "Black" | | 4 | "Cross" |
| | places | | | globalScore | 0.708 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 40 | | 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 | 690 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 87 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 16.83 | | std | 15.06 | | cv | 0.895 | | sampleLengths | | 0 | 76 | | 1 | 16 | | 2 | 9 | | 3 | 20 | | 4 | 10 | | 5 | 39 | | 6 | 2 | | 7 | 19 | | 8 | 2 | | 9 | 48 | | 10 | 5 | | 11 | 27 | | 12 | 21 | | 13 | 16 | | 14 | 20 | | 15 | 21 | | 16 | 25 | | 17 | 20 | | 18 | 2 | | 19 | 1 | | 20 | 6 | | 21 | 3 | | 22 | 12 | | 23 | 8 | | 24 | 51 | | 25 | 5 | | 26 | 5 | | 27 | 8 | | 28 | 2 | | 29 | 16 | | 30 | 29 | | 31 | 5 | | 32 | 26 | | 33 | 8 | | 34 | 25 | | 35 | 16 | | 36 | 16 | | 37 | 2 | | 38 | 17 | | 39 | 11 | | 40 | 20 |
| |
| 99.51% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 61 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 98 | | matches | (empty) | |
| 11.49% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 87 | | ratio | 0.046 | | matches | | 0 | "Rory didn’t turn—habit—but Silas’s gaze flicked past her shoulder, his expression shifting imperceptibly." | | 1 | "For a heartbeat, his expression was unguarded—surprise, then something darker, sharper." | | 2 | "He leaned against the bar, close enough that she caught the faint scent of his cologne—something expensive, unfamiliar." | | 3 | "The door opened again—a group of tourists, laughing too loud, shaking rain from their coats." |
| |
| 99.88% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 573 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.04013961605584642 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.006980802792321117 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 87 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 87 | | mean | 7.93 | | std | 5.75 | | cv | 0.724 | | sampleLengths | | 0 | 16 | | 1 | 19 | | 2 | 17 | | 3 | 24 | | 4 | 14 | | 5 | 2 | | 6 | 4 | | 7 | 5 | | 8 | 13 | | 9 | 7 | | 10 | 2 | | 11 | 8 | | 12 | 13 | | 13 | 13 | | 14 | 13 | | 15 | 2 | | 16 | 13 | | 17 | 6 | | 18 | 2 | | 19 | 20 | | 20 | 13 | | 21 | 15 | | 22 | 3 | | 23 | 2 | | 24 | 5 | | 25 | 11 | | 26 | 10 | | 27 | 1 | | 28 | 21 | | 29 | 10 | | 30 | 6 | | 31 | 20 | | 32 | 18 | | 33 | 3 | | 34 | 11 | | 35 | 3 | | 36 | 1 | | 37 | 10 | | 38 | 5 | | 39 | 11 | | 40 | 4 | | 41 | 2 | | 42 | 1 | | 43 | 5 | | 44 | 1 | | 45 | 2 | | 46 | 1 | | 47 | 7 | | 48 | 5 | | 49 | 6 |
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| 80.08% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.4942528735632184 | | totalSentences | 87 | | uniqueOpeners | 43 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 54 | | matches | | 0 | "Then it smoothed over, the" | | 1 | "Then he was gone, the" |
| | ratio | 0.037 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 54 | | matches | | 0 | "She slid onto a stool" | | 1 | "He set the glass down" | | 2 | "He hadn’t noticed her yet," | | 3 | "His head snapped toward her." | | 4 | "She kept her voice light," | | 5 | "He leaned against the bar," | | 6 | "He looked better." | | 7 | "He swirled the whiskey in" | | 8 | "She met his gaze" | | 9 | "he asked finally" | | 10 | "His brow furrowed." | | 11 | "His gaze flicked to her" | | 12 | "He hesitated, then reached into" | | 13 | "She didn’t touch it." | | 14 | "He smiled, the old charm" | | 15 | "He tore it in half," |
| | ratio | 0.296 | |
| 24.81% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 54 | | matches | | 0 | "The neon sign buzzed outside" | | 1 | "Rory pushed open the heavy" | | 2 | "The scent of whiskey and" | | 3 | "She slid onto a stool" | | 4 | "Silas glanced up from polishing" | | 5 | "He set the glass down" | | 6 | "Silas opened his mouth to" | | 7 | "A draft curled through the" | | 8 | "Rory didn’t turn—habit—but Silas’s gaze" | | 9 | "The voice was deeper than" | | 10 | "Rory’s fingers stilled against the" | | 11 | "Evan stood three feet away," | | 12 | "The sharp angles of his" | | 13 | "He hadn’t noticed her yet," | | 14 | "Rory exhaled slowly." | | 15 | "His head snapped toward her." | | 16 | "Silas set a glass in" | | 17 | "Evan took a slow sip," | | 18 | "She kept her voice light," | | 19 | "He leaned against the bar," |
| | ratio | 0.87 | |
| 92.59% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 54 | | matches | | 0 | "Now, he sipped his drink" |
| | ratio | 0.019 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 83.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 1 | | matches | | 0 | "She kept, but her pulse hammered in her throat" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 38 | | tagDensity | 0.053 | | leniency | 0.105 | | rawRatio | 0 | | effectiveRatio | 0 | |