| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 33 | | tagDensity | 0.091 | | leniency | 0.182 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.03% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1255 | | totalAiIsmAdverbs | 2 | | 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) | |
| 4.38% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1255 | | totalAiIsms | 24 | | found | | | highlights | | 0 | "flickered" | | 1 | "echo" | | 2 | "scanned" | | 3 | "weight" | | 4 | "etched" | | 5 | "reminder" | | 6 | "flicker" | | 7 | "silence" | | 8 | "glinting" | | 9 | "traced" | | 10 | "unspoken" | | 11 | "navigate" | | 12 | "pulse" | | 13 | "footsteps" |
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| 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 | "flicker of emotion" | | count | 1 |
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| | highlights | | 0 | "clenched her jaw" | | 1 | "A flicker of recognition" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 61 | | matches | (empty) | |
| 72.60% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 61 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 91 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1253 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 94.31% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 9 | | wordCount | 808 | | uniqueNames | 1 | | maxNameDensity | 1.11 | | worstName | "Silas" | | maxWindowNameDensity | 2 | | worstWindowName | "Silas" | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 0.943 | | windowScore | 1 | |
| 27.05% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 3 | | matches | | 0 | "half‑note that seemed to echo in the low hum of conversation" | | 1 | "as if measuring the distance between them" | | 2 | "sound that seemed to come from somewhere deep in his throat" |
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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 | 1253 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 91 | | matches | (empty) | |
| 82.83% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 29.83 | | std | 13.12 | | cv | 0.44 | | sampleLengths | | 0 | 57 | | 1 | 76 | | 2 | 51 | | 3 | 44 | | 4 | 11 | | 5 | 24 | | 6 | 10 | | 7 | 39 | | 8 | 21 | | 9 | 33 | | 10 | 35 | | 11 | 23 | | 12 | 27 | | 13 | 23 | | 14 | 33 | | 15 | 34 | | 16 | 49 | | 17 | 19 | | 18 | 25 | | 19 | 26 | | 20 | 28 | | 21 | 14 | | 22 | 27 | | 23 | 27 | | 24 | 37 | | 25 | 17 | | 26 | 26 | | 27 | 30 | | 28 | 36 | | 29 | 26 | | 30 | 24 | | 31 | 20 | | 32 | 29 | | 33 | 21 | | 34 | 21 | | 35 | 35 | | 36 | 26 | | 37 | 25 | | 38 | 16 | | 39 | 22 | | 40 | 26 | | 41 | 60 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 61 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 132 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 91 | | ratio | 0.011 | | matches | | 0 | "She paused at the threshold, the weight of the scar on her left wrist—a crescent moon etched into skin—pressing against the inside of her palm." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 810 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 9 | | adverbRatio | 0.011111111111111112 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0024691358024691358 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 91 | | echoCount | 0 | | echoWords | (empty) | |
| 90.62% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 91 | | mean | 13.77 | | std | 5.18 | | cv | 0.377 | | sampleLengths | | 0 | 15 | | 1 | 14 | | 2 | 13 | | 3 | 15 | | 4 | 20 | | 5 | 22 | | 6 | 16 | | 7 | 18 | | 8 | 25 | | 9 | 26 | | 10 | 12 | | 11 | 15 | | 12 | 17 | | 13 | 11 | | 14 | 10 | | 15 | 14 | | 16 | 9 | | 17 | 1 | | 18 | 7 | | 19 | 17 | | 20 | 15 | | 21 | 21 | | 22 | 14 | | 23 | 19 | | 24 | 17 | | 25 | 18 | | 26 | 10 | | 27 | 13 | | 28 | 13 | | 29 | 14 | | 30 | 15 | | 31 | 8 | | 32 | 14 | | 33 | 19 | | 34 | 16 | | 35 | 18 | | 36 | 15 | | 37 | 34 | | 38 | 7 | | 39 | 12 | | 40 | 10 | | 41 | 15 | | 42 | 6 | | 43 | 20 | | 44 | 14 | | 45 | 14 | | 46 | 10 | | 47 | 4 | | 48 | 12 | | 49 | 15 |
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| 48.90% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.21978021978021978 | | totalSentences | 91 | | uniqueOpeners | 20 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 61 | | matches | | 0 | "Her bright blue eyes scanned" | | 1 | "He lifted his left leg," | | 2 | "She paused at the threshold," | | 3 | "He wiped a glass with" | | 4 | "he said, the name slipping" | | 5 | "She stepped forward, the wooden" | | 6 | "she replied, the syllable tasting" | | 7 | "He gestured to the empty" | | 8 | "She lowered herself, the leather" | | 9 | "She brushed a strand of" | | 10 | "she asked, her voice low," | | 11 | "She stared at the photographs," | | 12 | "He lifted his glass, the" | | 13 | "She glanced at his left" | | 14 | "She traced the scar on" | | 15 | "He leaned forward, his elbows" | | 16 | "She clenched her jaw, the" | | 17 | "He smiled, a thin line" | | 18 | "She laughed, a short, breathless" | | 19 | "She turned her head, the" |
| | ratio | 0.574 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 61 | | matches | | 0 | "The green neon flickered above" | | 1 | "Aurora pushed the door open," | | 2 | "Her bright blue eyes scanned" | | 3 | "He lifted his left leg," | | 4 | "A silver signet ring caught" | | 5 | "She paused at the threshold," | | 6 | "The scar had been a" | | 7 | "Silas turned his head, his" | | 8 | "A flicker of recognition crossed" | | 9 | "He wiped a glass with" | | 10 | "he said, the name slipping" | | 11 | "She stepped forward, the wooden" | | 12 | "she replied, the syllable tasting" | | 13 | "He gestured to the empty" | | 14 | "She lowered herself, the leather" | | 15 | "The scar on her wrist" | | 16 | "She brushed a strand of" | | 17 | "she asked, her voice low," | | 18 | "Silas chuckled, a sound that" | | 19 | "She stared at the photographs," |
| | ratio | 0.951 | |
| 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 | 49 | | technicalSentenceCount | 2 | | matches | | 0 | "Aurora pushed the door open, the bell tinkling a half‑note that seemed to echo in the low hum of conversation." | | 1 | "He leaned forward, his elbows resting on the polished wood, the ring catching the light." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 1 | | matches | | 0 | "he said, the name slipping out like a practiced code" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 33 | | tagDensity | 0.091 | | leniency | 0.182 | | rawRatio | 0 | | effectiveRatio | 0 | |