| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 2 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 87.48% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 799 | | 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 | 799 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "pulsed" | | 1 | "warmth" | | 2 | "chill" | | 3 | "echoing" | | 4 | "trembled" | | 5 | "silence" | | 6 | "pulse" | | 7 | "glinting" | | 8 | "throbbed" | | 9 | "lurched" | | 10 | "stomach" | | 11 | "loomed" | | 12 | "churning" | | 13 | "raced" |
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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 | 1 | | narrationSentences | 92 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 92 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 92 | | 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 | 1 | | markdownWords | 1 | | totalWords | 802 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 99.87% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 10 | | wordCount | 798 | | uniqueNames | 3 | | maxNameDensity | 1 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | | persons | | 0 | "Rory" | | 1 | "November" | | 2 | "Silence" |
| | places | (empty) | | globalScore | 0.999 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 1 | | matches | | 0 | "appeared, ancient guardians wreathed in fog" |
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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 | 802 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 92 | | matches | (empty) | |
| 69.60% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 24 | | mean | 33.42 | | std | 13.15 | | cv | 0.394 | | sampleLengths | | 0 | 44 | | 1 | 41 | | 2 | 34 | | 3 | 32 | | 4 | 50 | | 5 | 42 | | 6 | 29 | | 7 | 26 | | 8 | 4 | | 9 | 17 | | 10 | 36 | | 11 | 22 | | 12 | 46 | | 13 | 26 | | 14 | 18 | | 15 | 28 | | 16 | 34 | | 17 | 26 | | 18 | 30 | | 19 | 30 | | 20 | 54 | | 21 | 48 | | 22 | 64 | | 23 | 21 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 92 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 136 | | matches | (empty) | |
| 80.75% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 92 | | ratio | 0.022 | | matches | | 0 | "A sound — a mutter, or a sigh – froze her in her tracks." | | 1 | "The shadows – they were alive." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 795 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.03018867924528302 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.006289308176100629 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 92 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 92 | | mean | 8.72 | | std | 5.06 | | cv | 0.58 | | sampleLengths | | 0 | 17 | | 1 | 18 | | 2 | 9 | | 3 | 4 | | 4 | 5 | | 5 | 21 | | 6 | 11 | | 7 | 6 | | 8 | 5 | | 9 | 10 | | 10 | 13 | | 11 | 9 | | 12 | 5 | | 13 | 4 | | 14 | 14 | | 15 | 9 | | 16 | 10 | | 17 | 15 | | 18 | 16 | | 19 | 14 | | 20 | 12 | | 21 | 7 | | 22 | 9 | | 23 | 3 | | 24 | 4 | | 25 | 5 | | 26 | 17 | | 27 | 13 | | 28 | 6 | | 29 | 4 | | 30 | 3 | | 31 | 4 | | 32 | 8 | | 33 | 6 | | 34 | 3 | | 35 | 4 | | 36 | 9 | | 37 | 7 | | 38 | 16 | | 39 | 11 | | 40 | 2 | | 41 | 2 | | 42 | 7 | | 43 | 8 | | 44 | 6 | | 45 | 6 | | 46 | 8 | | 47 | 10 | | 48 | 8 | | 49 | 10 |
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| 51.81% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.3695652173913043 | | totalSentences | 92 | | uniqueOpeners | 34 | |
| 77.52% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 86 | | matches | | 0 | "Then she heard it." | | 1 | "Slowly, she turned." |
| | ratio | 0.023 | |
| 99.07% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 86 | | matches | | 0 | "She shouldn't be here." | | 1 | "It thrummed against her chest," | | 2 | "Her voice trembled" | | 3 | "She whirled, but saw only" | | 4 | "It came from everywhere and" | | 5 | "It shuddered with each rapid" | | 6 | "She should leave." | | 7 | "They carried her on, muscles" | | 8 | "It's just her imagination, her" | | 9 | "She was alone." | | 10 | "They glittered like rubies, like" | | 11 | "They regarded her with cold" | | 12 | "He will find you if" | | 13 | "They writhed around the creature's" | | 14 | "It held out a hand," | | 15 | "She stumbled, falling to one" | | 16 | "He will find you." | | 17 | "She staggered, spinning back the" | | 18 | "She could no longer see" | | 19 | "They pressed close, a suffocating" |
| | ratio | 0.302 | |
| 58.84% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 86 | | matches | | 0 | "The pendant around Rory's neck" | | 1 | "Wildflowers bloomed in vivid colors," | | 2 | "She shouldn't be here." | | 3 | "It thrummed against her chest," | | 4 | "Mist snaked around her ankles." | | 5 | "The air smelled of damp" | | 6 | "Rory's heart thudded against her" | | 7 | "A rustling in the shadows" | | 8 | "Her voice trembled" | | 9 | "The back of her neck" | | 10 | "Rory walked on, drawn forward" | | 11 | "A flutter of wings, too" | | 12 | "She whirled, but saw only" | | 13 | "A sound — a mutter," | | 14 | "It came from everywhere and" | | 15 | "The pendant's warmth had become" | | 16 | "It shuddered with each rapid" | | 17 | "She should leave." | | 18 | "Every instinct screamed it." | | 19 | "They carried her on, muscles" |
| | ratio | 0.802 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 86 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 2 | | matches | | 0 | "It rose to an agonized shriek that iced her bones." | | 1 | "Knew with the deep, unshakable certainty that comes with terror, that the pendants were no mere trinkets." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 2 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |