| 62.07% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 2 | | adverbTags | | 0 | "Silas said finally [finally]" | | 1 | "Silas said softly [softly]" |
| | dialogueSentences | 29 | | tagDensity | 0.103 | | leniency | 0.207 | | rawRatio | 0.667 | | effectiveRatio | 0.138 | |
| 86.65% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 749 | | 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) | |
| 33.24% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 749 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "pulsed" | | 1 | "stomach" | | 2 | "silence" | | 3 | "weight" | | 4 | "flicked" | | 5 | "unreadable" | | 6 | "jaw clenched" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 56 | | matches | (empty) | |
| 91.84% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 56 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 82 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 740 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 49.83% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 599 | | uniqueNames | 10 | | maxNameDensity | 2 | | worstName | "Silas" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 2 | | London | 1 | | Carter | 2 | | Golden | 1 | | Empress | 1 | | Silas | 12 | | Blackwood | 1 | | Aurora | 11 | | Eva | 3 |
| | persons | | 0 | "Raven" | | 1 | "Carter" | | 2 | "Empress" | | 3 | "Silas" | | 4 | "Blackwood" | | 5 | "Aurora" | | 6 | "Eva" |
| | places | | | globalScore | 0.498 | | windowScore | 0.5 | |
| 76.47% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 34 | | glossingSentenceCount | 1 | | matches | | |
| 64.86% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.351 | | wordCount | 740 | | matches | | 0 | "not from exhaustion, but from the way the air felt thicker here, heavier than usual" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 82 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 20.56 | | std | 19.15 | | cv | 0.932 | | sampleLengths | | 0 | 80 | | 1 | 57 | | 2 | 4 | | 3 | 80 | | 4 | 14 | | 5 | 19 | | 6 | 49 | | 7 | 14 | | 8 | 11 | | 9 | 22 | | 10 | 5 | | 11 | 3 | | 12 | 3 | | 13 | 17 | | 14 | 25 | | 15 | 6 | | 16 | 7 | | 17 | 27 | | 18 | 6 | | 19 | 32 | | 20 | 9 | | 21 | 22 | | 22 | 29 | | 23 | 19 | | 24 | 8 | | 25 | 41 | | 26 | 17 | | 27 | 8 | | 28 | 11 | | 29 | 8 | | 30 | 9 | | 31 | 16 | | 32 | 9 | | 33 | 8 | | 34 | 12 | | 35 | 33 |
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| 99.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 56 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 101 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 82 | | ratio | 0.061 | | matches | | 0 | "The delivery van had just pulled away, leaving her with a quiet ache in her chest—not from exhaustion, but from the way the air felt thicker here, heavier than usual." | | 1 | "Silas Blackwood moved through the bar like a man who hadn’t aged at all—tall, limping slightly, his auburn hair streaked with silver catching the light like polished bronze." | | 2 | "The scar on her wrist—small, crescent-shaped—pulsed faintly under her skin." | | 3 | "The bar’s patrons—blurred figures in the dim light—stirred around them." | | 4 | "Should’ve left him standing there, the way he’d always left her before—unfinished, unfinished." |
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| 80.07% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 608 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, crescent-shaped-pulsed" |
| | adverbCount | 34 | | adverbRatio | 0.05592105263157895 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.009868421052631578 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 82 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 82 | | mean | 9.02 | | std | 7.39 | | cv | 0.819 | | sampleLengths | | 0 | 25 | | 1 | 25 | | 2 | 30 | | 3 | 7 | | 4 | 8 | | 5 | 17 | | 6 | 16 | | 7 | 9 | | 8 | 4 | | 9 | 4 | | 10 | 24 | | 11 | 28 | | 12 | 24 | | 13 | 9 | | 14 | 5 | | 15 | 14 | | 16 | 5 | | 17 | 5 | | 18 | 29 | | 19 | 10 | | 20 | 5 | | 21 | 9 | | 22 | 5 | | 23 | 8 | | 24 | 3 | | 25 | 16 | | 26 | 6 | | 27 | 5 | | 28 | 3 | | 29 | 3 | | 30 | 4 | | 31 | 13 | | 32 | 12 | | 33 | 12 | | 34 | 1 | | 35 | 3 | | 36 | 3 | | 37 | 7 | | 38 | 17 | | 39 | 10 | | 40 | 3 | | 41 | 3 | | 42 | 10 | | 43 | 12 | | 44 | 10 | | 45 | 5 | | 46 | 4 | | 47 | 17 | | 48 | 5 | | 49 | 4 |
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| 42.68% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.24390243902439024 | | totalSentences | 82 | | uniqueOpeners | 20 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 11 | | totalSentences | 54 | | matches | | 0 | "She hadn’t come for the" | | 1 | "She’d seen Silas’s name on" | | 2 | "She knew the moment he" | | 3 | "He wore a dark coat," | | 4 | "he said, voice low, almost" | | 5 | "He just watched her, the" | | 6 | "She didn’t reach for it." | | 7 | "He poured two fingers in" | | 8 | "She took a breath, the" | | 9 | "She should’ve walked away." | | 10 | "He just watched her, his" |
| | ratio | 0.204 | |
| 6.30% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 49 | | totalSentences | 54 | | matches | | 0 | "The neon glow of the" | | 1 | "Aurora Carter wiped her hands" | | 2 | "The delivery van had just" | | 3 | "She hadn’t come for the" | | 4 | "The Nest wasn’t her usual" | | 5 | "She’d seen Silas’s name on" | | 6 | "The door creaked open." | | 7 | "Aurora didn’t look up." | | 8 | "She knew the moment he" | | 9 | "Silas Blackwood moved through the" | | 10 | "He wore a dark coat," | | 11 | "he said, voice low, almost" | | 12 | "Aurora finally turned, her bright" | | 13 | "Silas didn’t answer right away." | | 14 | "He just watched her, the" | | 15 | "The scar on her wrist—small," | | 16 | "She didn’t reach for it." | | 17 | "Silas said finally, his voice" | | 18 | "Aurora exhaled through her nose," | | 19 | "Silas leaned back, his signet" |
| | ratio | 0.907 | |
| 92.59% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 54 | | matches | | 0 | "Now, the thought of him" |
| | ratio | 0.019 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 1 | | matches | | 0 | "Silas Blackwood moved through the bar like a man who hadn’t aged at all—tall, limping slightly, his auburn hair streaked with silver catching the light like pol…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 2 | | matches | | 0 | "he said, voice low, almost a growl" | | 1 | "Silas said finally, his voice rough" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 29 | | tagDensity | 0.103 | | leniency | 0.207 | | rawRatio | 0 | | effectiveRatio | 0 | |