| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 1 | | adverbTags | | 0 | "you turn around [around]" |
| | dialogueSentences | 9 | | tagDensity | 0.556 | | leniency | 1 | | rawRatio | 0.2 | | effectiveRatio | 0.2 | |
| 81.13% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 795 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "really" | | 1 | "suddenly" | | 2 | "very" |
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| 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) | |
| 62.26% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 795 | | totalAiIsms | 6 | | found | | 0 | | | 1 | | | 2 | | | 3 | | word | "down her spine" | | count | 1 |
| | 4 | | | 5 | |
| | highlights | | 0 | "foreboding" | | 1 | "weight" | | 2 | "silence" | | 3 | "down her spine" | | 4 | "could feel" | | 5 | "electric" |
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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 | 23 | | matches | (empty) | |
| 80.75% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 23 | | filterMatches | (empty) | | hedgeMatches | | |
| 75.86% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 25 | | gibberishSentences | 1 | | adjustedGibberishSentences | 1 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 65 | | ratio | 0.04 | | matches | | 0 | "\"But it's the Grove, Rory. The bloody Grove!\" Ev гвардейdon't like this." |
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| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 795 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 690 | | uniqueNames | 11 | | maxNameDensity | 0.58 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Hell" | | discoveredNames | | Rory | 4 | | Ev | 1 | | Which | 1 | | King | 1 | | Hell | 3 | | Grove | 2 | | Hel | 1 | | Devil | 1 | | Christ | 1 | | Melody | 2 | | Carter | 1 |
| | persons | | 0 | "Rory" | | 1 | "Hell" | | 2 | "Christ" | | 3 | "Melody" | | 4 | "Carter" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 20 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 795 | | matches | (empty) | |
| 0.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 25 | | matches | | 0 | "knew that something" | | 1 | "air that she" |
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| 59.20% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 19 | | mean | 41.84 | | std | 14.95 | | cv | 0.357 | | sampleLengths | | 0 | 47 | | 1 | 34 | | 2 | 15 | | 3 | 47 | | 4 | 65 | | 5 | 64 | | 6 | 48 | | 7 | 54 | | 8 | 32 | | 9 | 39 | | 10 | 27 | | 11 | 31 | | 12 | 67 | | 13 | 57 | | 14 | 51 | | 15 | 37 | | 16 | 32 | | 17 | 19 | | 18 | 29 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 23 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 123 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 91 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 2 | | adverbRatio | 0.02197802197802198 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 25 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 25 | | mean | 31.8 | | std | 18.93 | | cv | 0.595 | | sampleLengths | | 0 | 47 | | 1 | 16 | | 2 | 18 | | 3 | 12 | | 4 | 1 | | 5 | 2 | | 6 | 1 | | 7 | 46 | | 8 | 65 | | 9 | 64 | | 10 | 48 | | 11 | 54 | | 12 | 32 | | 13 | 39 | | 14 | 27 | | 15 | 31 | | 16 | 39 | | 17 | 19 | | 18 | 9 | | 19 | 57 | | 20 | 51 | | 21 | 37 | | 22 | 32 | | 23 | 19 | | 24 | 29 |
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| 100.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.6 | | totalSentences | 25 | | uniqueOpeners | 15 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 21 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 5 | | totalSentences | 21 | | matches | | 0 | "she replied, her voice even" | | 1 | "She'd been to this bloody" | | 2 | "she said, her voice even," | | 3 | "I don't want you here," | | 4 | "She tipped her wrist, and" |
| | ratio | 0.238 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 12 | | totalSentences | 21 | | matches | | 0 | "The voice from the other" | | 1 | "she replied, her voice even" | | 2 | "Ev гвардейdon't like this" | | 3 | "She'd been to this bloody" | | 4 | "That said, she'd never actually" | | 5 | "A sound, then. One that" | | 6 | "Rory twirled, but saw nothing." | | 7 | "she said, her voice even," | | 8 | "I don't want you here," | | 9 | "That fear multiplied with the" | | 10 | "She tipped her wrist, and" | | 11 | "Rory Carter did a lot" |
| | ratio | 0.571 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 21 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 15 | | technicalSentenceCount | 4 | | matches | | 0 | "That said, she'd never actually been here before. Her brother had trained her, told her about the power flows, the frenzied magic that erupted from beneath the …" | | 1 | "A sound, then. One that didn't belong. A burst of wind, or was it electricity? She was sure she could smell it, at least, a faint sulfuricity that tickled the b…" | | 2 | "For a moment, there was nothing. Quiet. A moment of silence before the world fucking exploded around her, the air popping with an electrical current that Melody…" | | 3 | "That fear multiplied with the next sound, a roar that emanated from the dead center of the grove, a feral sound that sent chills across Melody's skin. But it wa…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 9 | | tagDensity | 0.222 | | leniency | 0.444 | | rawRatio | 0 | | effectiveRatio | 0 | |