| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 522 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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 | 522 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "flickered" | | 1 | "stomach" | | 2 | "weight" | | 3 | "familiar" | | 4 | "pulsed" | | 5 | "pulse" | | 6 | "whisper" | | 7 | "silence" | | 8 | "unreadable" | | 9 | "echoed" |
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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 | 51 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 51 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 59 | | 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 | 5 | | markdownWords | 5 | | totalWords | 513 | | ratio | 0.01 | | matches | | 0 | "wrong" | | 1 | "longer" | | 2 | "real" | | 3 | "hungry" | | 4 | "mine" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 74.89% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 466 | | uniqueNames | 7 | | maxNameDensity | 1.5 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Carter | 1 | | Rory | 7 | | Golden | 1 | | Empress | 1 | | Silas | 5 | | Aurora | 3 | | Heartstone | 1 |
| | persons | | 0 | "Carter" | | 1 | "Rory" | | 2 | "Silas" | | 3 | "Aurora" |
| | places | | | globalScore | 0.749 | | windowScore | 0.833 | |
| 71.88% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 32 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 513 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 59 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 22 | | mean | 23.32 | | std | 19.12 | | cv | 0.82 | | sampleLengths | | 0 | 74 | | 1 | 59 | | 2 | 13 | | 3 | 42 | | 4 | 11 | | 5 | 18 | | 6 | 55 | | 7 | 13 | | 8 | 11 | | 9 | 14 | | 10 | 29 | | 11 | 4 | | 12 | 12 | | 13 | 43 | | 14 | 11 | | 15 | 28 | | 16 | 8 | | 17 | 29 | | 18 | 14 | | 19 | 16 | | 20 | 3 | | 21 | 6 |
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| 77.74% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 51 | | matches | | 0 | "been unlocked" | | 1 | "been left" | | 2 | "been given" | | 3 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 82 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 59 | | ratio | 0.068 | | matches | | 0 | "Aurora Carter—Rory, to her friends—hadn’t meant to come here." | | 1 | "The face was familiar—too familiar—but she couldn’t place it." | | 2 | "But his eyes—his *real* eyes—were wrong." | | 3 | "Silas smirked, and for a moment, Rory thought she saw something in his gaze—something familiar." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 475 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.035789473684210524 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.008421052631578947 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 59 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 59 | | mean | 8.69 | | std | 5.97 | | cv | 0.687 | | sampleLengths | | 0 | 19 | | 1 | 9 | | 2 | 24 | | 3 | 14 | | 4 | 8 | | 5 | 17 | | 6 | 23 | | 7 | 19 | | 8 | 13 | | 9 | 2 | | 10 | 7 | | 11 | 9 | | 12 | 4 | | 13 | 2 | | 14 | 2 | | 15 | 16 | | 16 | 11 | | 17 | 4 | | 18 | 10 | | 19 | 4 | | 20 | 19 | | 21 | 2 | | 22 | 17 | | 23 | 17 | | 24 | 10 | | 25 | 3 | | 26 | 6 | | 27 | 5 | | 28 | 8 | | 29 | 6 | | 30 | 5 | | 31 | 8 | | 32 | 4 | | 33 | 2 | | 34 | 10 | | 35 | 4 | | 36 | 9 | | 37 | 3 | | 38 | 11 | | 39 | 5 | | 40 | 9 | | 41 | 18 | | 42 | 9 | | 43 | 2 | | 44 | 2 | | 45 | 16 | | 46 | 6 | | 47 | 2 | | 48 | 2 | | 49 | 8 |
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| 37.29% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.3050847457627119 | | totalSentences | 59 | | uniqueOpeners | 18 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 41 | | matches | | 0 | "Instead, they leaned in, their" | | 1 | "Then it was gone, replaced" |
| | ratio | 0.049 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 7 | | totalSentences | 41 | | matches | | 0 | "She’d only stopped for a" | | 1 | "She stepped inside, the air" | | 2 | "She’d been given it by" | | 3 | "She pulled it free, the" | | 4 | "She spun, her heart slamming" | | 5 | "she asked, voice trembling" | | 6 | "he echoed the stranger’s words" |
| | ratio | 0.171 | |
| 8.78% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 37 | | totalSentences | 41 | | matches | | 0 | "The neon sign of the" | | 1 | "Aurora Carter—Rory, to her friends—hadn’t" | | 2 | "She’d only stopped for a" | | 3 | "The key had been left" | | 4 | "She stepped inside, the air" | | 5 | "The bar was empty except" | | 6 | "The light from the single" | | 7 | "the voice said, smooth and" | | 8 | "The stranger turned, and her" | | 9 | "The face was familiar—too familiar—but" | | 10 | "The eyes were wrong." | | 11 | "The irises pulsed like veins," | | 12 | "Rory demanded, her voice steadier" | | 13 | "The stranger didn’t answer." | | 14 | "Aurora’s fingers twitched toward the" | | 15 | "She’d been given it by" | | 16 | "She pulled it free, the" | | 17 | "The stranger’s grip tightened around" | | 18 | "Rory’s pulse hammered in her" | | 19 | "The figure’s head tilted, as" |
| | ratio | 0.902 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 41 | | matches | (empty) | | ratio | 0 | |
| 40.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 3 | | matches | | 0 | "She’d only stopped for a drink after delivering a late-night order from Golden Empress, her stomach rumbling with the weight of too much takeaway." | | 1 | "The pendant burned against her skin, its glow intensifying, the crimson light bleeding into the room like blood." | | 2 | "Then it was gone, replaced by something darker, something that made her skin crawl." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 2 | | matches | | 0 | "Rory demanded, her voice steadier than she felt" | | 1 | "she asked, voice trembling" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 3 | | fancyTags | | 0 | "Rory demanded (demand)" | | 1 | "she whispered (whisper)" | | 2 | "she whispered (whisper)" |
| | dialogueSentences | 14 | | tagDensity | 0.357 | | leniency | 0.714 | | rawRatio | 0.6 | | effectiveRatio | 0.429 | |