| 60.47% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 3 | | adverbTags | | 0 | "Her fingers wrapped around [around]" | | 1 | "She looked away [away]" | | 2 | "he finally said [finally]" |
| | dialogueSentences | 43 | | tagDensity | 0.326 | | leniency | 0.651 | | rawRatio | 0.214 | | effectiveRatio | 0.14 | |
| 71.46% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1051 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "gently" | | 1 | "really" | | 2 | "slightly" | | 3 | "slowly" |
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| 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 | 1051 | | totalAiIsms | 23 | | found | | | highlights | | 0 | "pulsed" | | 1 | "otherworldly" | | 2 | "scanned" | | 3 | "familiar" | | 4 | "intensity" | | 5 | "flickered" | | 6 | "complex" | | 7 | "measured" | | 8 | "unspoken" | | 9 | "tension" | | 10 | "palpable" | | 11 | "weight" | | 12 | "silence" | | 13 | "eyebrow" | | 14 | "restrained" | | 15 | "echoes" | | 16 | "warmth" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
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| | highlights | | 0 | "eyes narrowed" | | 1 | "hung in the air" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 75 | | matches | (empty) | |
| 85.71% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 75 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 101 | | 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 | 1043 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 99.43% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 791 | | uniqueNames | 6 | | maxNameDensity | 1.01 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Aurora | 1 | | Rory | 8 | | Silas | 8 | | Evan | 4 |
| | persons | | 0 | "Raven" | | 1 | "Aurora" | | 2 | "Rory" | | 3 | "Silas" | | 4 | "Evan" |
| | places | (empty) | | globalScore | 0.994 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 4 | | matches | | 0 | "appeared broader than she remembered" | | 1 | "as if re-mapping familiar territory with an unfamiliar guide" | | 2 | "as if wanting to reach out but restrained" | | 3 | "as if preparing to continue, but Rory held up a hand" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1043 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 101 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 51 | | mean | 20.45 | | std | 12.38 | | cv | 0.605 | | sampleLengths | | 0 | 71 | | 1 | 63 | | 2 | 11 | | 3 | 9 | | 4 | 12 | | 5 | 51 | | 6 | 42 | | 7 | 6 | | 8 | 27 | | 9 | 27 | | 10 | 11 | | 11 | 23 | | 12 | 27 | | 13 | 16 | | 14 | 13 | | 15 | 23 | | 16 | 24 | | 17 | 20 | | 18 | 13 | | 19 | 13 | | 20 | 30 | | 21 | 7 | | 22 | 16 | | 23 | 19 | | 24 | 20 | | 25 | 13 | | 26 | 16 | | 27 | 16 | | 28 | 26 | | 29 | 10 | | 30 | 22 | | 31 | 10 | | 32 | 17 | | 33 | 26 | | 34 | 13 | | 35 | 12 | | 36 | 20 | | 37 | 19 | | 38 | 16 | | 39 | 24 | | 40 | 15 | | 41 | 14 | | 42 | 16 | | 43 | 13 | | 44 | 20 | | 45 | 22 | | 46 | 21 | | 47 | 16 | | 48 | 16 | | 49 | 24 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 75 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 146 | | matches | | |
| 86.28% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 101 | | ratio | 0.02 | | matches | | 0 | "The green neon sign above the entrance buzzed gently, casting an otherworldly glow as Aurora—Rory, as she preferred—angled her way inside." | | 1 | "Silence fell once more, but it was different now—filled with the echoes of their shared past, the memories that still linked them despite everything." |
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| 94.38% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 797 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 37 | | adverbRatio | 0.04642409033877039 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.013801756587202008 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 101 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 101 | | mean | 10.33 | | std | 5.36 | | cv | 0.519 | | sampleLengths | | 0 | 16 | | 1 | 21 | | 2 | 14 | | 3 | 20 | | 4 | 6 | | 5 | 18 | | 6 | 10 | | 7 | 18 | | 8 | 11 | | 9 | 11 | | 10 | 7 | | 11 | 2 | | 12 | 9 | | 13 | 3 | | 14 | 19 | | 15 | 6 | | 16 | 5 | | 17 | 21 | | 18 | 11 | | 19 | 13 | | 20 | 18 | | 21 | 6 | | 22 | 12 | | 23 | 15 | | 24 | 5 | | 25 | 15 | | 26 | 7 | | 27 | 11 | | 28 | 3 | | 29 | 20 | | 30 | 11 | | 31 | 16 | | 32 | 16 | | 33 | 10 | | 34 | 3 | | 35 | 16 | | 36 | 7 | | 37 | 20 | | 38 | 4 | | 39 | 7 | | 40 | 13 | | 41 | 10 | | 42 | 3 | | 43 | 8 | | 44 | 5 | | 45 | 19 | | 46 | 11 | | 47 | 5 | | 48 | 2 | | 49 | 4 |
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| 69.97% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.42574257425742573 | | totalSentences | 101 | | uniqueOpeners | 43 | |
| 45.66% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 73 | | matches | | 0 | "Instead, his eyes roamed over" |
| | ratio | 0.014 | |
| 0.82% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 73 | | matches | | 0 | "She favored the bar after" | | 1 | "He leaned against the bar" | | 2 | "she called with a half-smile," | | 3 | "She nodded, sliding into the" | | 4 | "He was tall, with shoulders" | | 5 | "His face was sharper, more" | | 6 | "she murmured, almost to herself" | | 7 | "He met her gaze, and" | | 8 | "He walked over, his steps" | | 9 | "His voice was deeper, carrying" | | 10 | "She didn't stand." | | 11 | "Her fingers wrapped around the" | | 12 | "He took the stool beside" | | 13 | "His voice was softer now," | | 14 | "She sipped her drink, watching" | | 15 | "She looked away, focusing on" | | 16 | "His shoulders seemed to tense" | | 17 | "His eyes held hers again," | | 18 | "She let out a soft," | | 19 | "He leaned back, a shadow" |
| | ratio | 0.548 | |
| 1.10% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 67 | | totalSentences | 73 | | matches | | 0 | "The Raven's Nest pulsed with" | | 1 | "The green neon sign above" | | 2 | "She favored the bar after" | | 3 | "Silas always kept a corner" | | 4 | "Tonight, the room seemed no" | | 5 | "The dim lighting reflected off" | | 6 | "Rory's bright blue eyes scanned" | | 7 | "He leaned against the bar" | | 8 | "The silver signet ring on" | | 9 | "she called with a half-smile," | | 10 | "A lift of his eyebrows" | | 11 | "She nodded, sliding into the" | | 12 | "Rory glanced over, not expecting" | | 13 | "The man standing there, pausing" | | 14 | "He was tall, with shoulders" | | 15 | "His face was sharper, more" | | 16 | "she murmured, almost to herself" | | 17 | "Silas cast a quick glance" | | 18 | "He met her gaze, and" | | 19 | "Evan’s eyes landed on her." |
| | ratio | 0.918 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 73 | | matches | (empty) | | ratio | 0 | |
| 75.89% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 3 | | matches | | 0 | "He was tall, with shoulders that appeared broader than she remembered." | | 1 | "There was an intensity in his eyes, a seriousness that belied the youthful energy of his past self." | | 2 | "Instead, his eyes roamed over her face, as if re-mapping familiar territory with an unfamiliar guide." |
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| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 2 | | matches | | 0 | "she murmured, almost to herself" | | 1 | "She couldn't, needing to know" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 43 | | tagDensity | 0.093 | | leniency | 0.186 | | rawRatio | 0.25 | | effectiveRatio | 0.047 | |