| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 0 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.07% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 838 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | 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 | 838 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "pulse" | | 1 | "warmth" | | 2 | "loomed" | | 3 | "stomach" | | 4 | "whisper" | | 5 | "racing" | | 6 | "flicker" | | 7 | "predator" | | 8 | "raced" | | 9 | "trembled" | | 10 | "unraveling" | | 11 | "pounding" |
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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 | 96 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 96 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 96 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 6 | | markdownWords | 15 | | totalWords | 830 | | ratio | 0.018 | | matches | | 0 | "This isn’t right." | | 1 | "alive" | | 2 | "Hel’s portal," | | 3 | "hers and theirs." | | 4 | "hungry." | | 5 | "You came for the portal." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 828 | | uniqueNames | 5 | | maxNameDensity | 1.33 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 2 | | Park | 2 | | Carter | 1 | | Heartstone | 4 | | Aurora | 11 |
| | persons | | 0 | "Carter" | | 1 | "Heartstone" | | 2 | "Aurora" |
| | places | | | globalScore | 0.836 | | windowScore | 0.833 | |
| 69.35% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like an eternity, the sky too brig" | | 1 | "felt like a warning" |
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| 79.52% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.205 | | wordCount | 830 | | matches | | 0 | "Not with wind or storm, but with a sudden, unnatural stillness" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 96 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 26.77 | | std | 21.39 | | cv | 0.799 | | sampleLengths | | 0 | 82 | | 1 | 56 | | 2 | 61 | | 3 | 2 | | 4 | 43 | | 5 | 40 | | 6 | 3 | | 7 | 46 | | 8 | 44 | | 9 | 34 | | 10 | 6 | | 11 | 51 | | 12 | 36 | | 13 | 4 | | 14 | 11 | | 15 | 3 | | 16 | 53 | | 17 | 14 | | 18 | 3 | | 19 | 25 | | 20 | 33 | | 21 | 38 | | 22 | 3 | | 23 | 18 | | 24 | 36 | | 25 | 10 | | 26 | 42 | | 27 | 3 | | 28 | 18 | | 29 | 7 | | 30 | 5 |
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| 94.30% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 96 | | matches | | 0 | "was supposed" | | 1 | "was supposed" | | 2 | "was supposed" |
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| 61.11% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 144 | | matches | | 0 | "was happening" | | 1 | "wasn’t coming" | | 2 | "was running" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 96 | | ratio | 0.083 | | matches | | 0 | "But the air here was wrong—too heavy, too *alive*." | | 1 | "The sound came again—closer this time, too precise, too deliberate." | | 2 | "Aurora’s vision blurred for a second—just a flicker, but enough to make her stomach drop." | | 3 | "Its eyes—if they could be called eyes—were too bright, too *hungry.*" | | 4 | "She had to—" | | 5 | "But in something worse—a vibration in her bones, a whisper in her mind." | | 6 | "The thing reached out, its fingers—too many fingers—curling toward her." | | 7 | "She had to—" |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 70 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 2 | | adverbRatio | 0.02857142857142857 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.014285714285714285 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 96 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 96 | | mean | 8.65 | | std | 5.19 | | cv | 0.6 | | sampleLengths | | 0 | 26 | | 1 | 22 | | 2 | 24 | | 3 | 10 | | 4 | 15 | | 5 | 11 | | 6 | 17 | | 7 | 10 | | 8 | 3 | | 9 | 7 | | 10 | 14 | | 11 | 9 | | 12 | 17 | | 13 | 3 | | 14 | 11 | | 15 | 2 | | 16 | 12 | | 17 | 2 | | 18 | 5 | | 19 | 6 | | 20 | 18 | | 21 | 6 | | 22 | 12 | | 23 | 7 | | 24 | 15 | | 25 | 3 | | 26 | 5 | | 27 | 8 | | 28 | 10 | | 29 | 6 | | 30 | 3 | | 31 | 14 | | 32 | 15 | | 33 | 10 | | 34 | 15 | | 35 | 4 | | 36 | 12 | | 37 | 11 | | 38 | 6 | | 39 | 5 | | 40 | 6 | | 41 | 3 | | 42 | 2 | | 43 | 5 | | 44 | 14 | | 45 | 3 | | 46 | 13 | | 47 | 11 | | 48 | 12 | | 49 | 9 |
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| 33.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.16666666666666666 | | totalSentences | 96 | | uniqueOpeners | 16 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 92 | | matches | (empty) | | ratio | 0 | |
| 93.91% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 92 | | matches | | 0 | "She should have known better" | | 1 | "Her breath came shallow, her" | | 2 | "She exhaled sharply, forcing herself" | | 3 | "She’d never been here before," | | 4 | "She turned slowly, her pulse" | | 5 | "Her fingers tightened around the" | | 6 | "She didn’t move, didn’t dare" | | 7 | "Her heart hammered against her" | | 8 | "She was alone." | | 9 | "She had come here for" | | 10 | "She was not alone." | | 11 | "She reached for the pendant" | | 12 | "It was *hers and theirs.*" | | 13 | "It emerged from the shadows," | | 14 | "Its eyes—if they could be" | | 15 | "She didn’t know what was" | | 16 | "She didn’t know what she" | | 17 | "She had to get out." | | 18 | "She had to—" | | 19 | "It was taller than a" |
| | ratio | 0.315 | |
| 30.65% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 79 | | totalSentences | 92 | | matches | | 0 | "The air in Richmond Park" | | 1 | "Aurora Carter adjusted the strap" | | 2 | "The pulse of warmth beneath" | | 3 | "She should have known better" | | 4 | "The standing stones loomed ahead," | | 5 | "The moment she stepped onto" | | 6 | "An hour outside the grove" | | 7 | "Her breath came shallow, her" | | 8 | "*This isn’t right.*" | | 9 | "She exhaled sharply, forcing herself" | | 10 | "The grove was supposed to" | | 11 | "The wildflowers swayed in a" | | 12 | "Aurora’s stomach twisted." | | 13 | "She’d never been here before," | | 14 | "A whisper, just beyond hearing." | | 15 | "She turned slowly, her pulse" | | 16 | "The shadows at the edge" | | 17 | "Her fingers tightened around the" | | 18 | "The warmth beneath her skin" | | 19 | "*Hel’s portal,* she thought, her" |
| | ratio | 0.859 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 92 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 2 | | matches | | 0 | "The air in Richmond Park was thick with the scent of damp earth and something older, something that clung to the trees like a second skin." | | 1 | "She was running through Richmond Park, her lungs burning, her heart pounding." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |