| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 41 | | tagDensity | 0.463 | | leniency | 0.927 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 763 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 60.68% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 763 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "reminder" | | 1 | "familiar" | | 2 | "whisper" | | 3 | "flickered" | | 4 | "trembled" |
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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 | 70 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 70 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 90 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 4 | | totalWords | 756 | | ratio | 0.005 | | matches | | 0 | "tap" | | 1 | "did" | | 2 | "London Bridge" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 571 | | uniqueNames | 5 | | maxNameDensity | 3.5 | | worstName | "Aurora" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 20 | | Eva | 15 | | Two | 1 | | Old | 1 | | Library | 1 |
| | persons | | | places | | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 42 | | 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 | 756 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 90 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 14.54 | | std | 16.05 | | cv | 1.104 | | sampleLengths | | 0 | 13 | | 1 | 95 | | 2 | 11 | | 3 | 40 | | 4 | 5 | | 5 | 4 | | 6 | 55 | | 7 | 3 | | 8 | 9 | | 9 | 13 | | 10 | 4 | | 11 | 18 | | 12 | 16 | | 13 | 21 | | 14 | 13 | | 15 | 14 | | 16 | 17 | | 17 | 1 | | 18 | 19 | | 19 | 48 | | 20 | 7 | | 21 | 20 | | 22 | 27 | | 23 | 5 | | 24 | 27 | | 25 | 8 | | 26 | 5 | | 27 | 20 | | 28 | 4 | | 29 | 35 | | 30 | 5 | | 31 | 20 | | 32 | 7 | | 33 | 12 | | 34 | 6 | | 35 | 6 | | 36 | 6 | | 37 | 6 | | 38 | 18 | | 39 | 11 | | 40 | 8 | | 41 | 3 | | 42 | 2 | | 43 | 18 | | 44 | 4 | | 45 | 8 | | 46 | 19 | | 47 | 3 | | 48 | 4 | | 49 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 70 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 104 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 90 | | ratio | 0.067 | | matches | | 0 | "The scar on her left wrist—a pale crescent from childhood—ached when she flexed her hand, a reminder of the fire that had taken her parents and left her with nothing but a lawyer’s briefcase and a city full of strangers." | | 1 | "Aurora’s pen tapped the ledger once—*tap*—then stilled." | | 2 | "The eyes were the same—hazel, flecked with gold—but the jaw was sharper, the posture straighter." | | 3 | "She remembered—flashes of fire, sirens, the judge’s gavel crashing down." | | 4 | "The jukebox crackled to life—a scratchy rendition of *London Bridge*—and the door chimed." | | 5 | "“Try me.” She pressed something into Aurora’s palm—a photograph, yellowed with age." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 578 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.031141868512110725 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.00865051903114187 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 90 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 90 | | mean | 8.4 | | std | 5.74 | | cv | 0.683 | | sampleLengths | | 0 | 8 | | 1 | 5 | | 2 | 7 | | 3 | 11 | | 4 | 20 | | 5 | 17 | | 6 | 40 | | 7 | 5 | | 8 | 6 | | 9 | 16 | | 10 | 17 | | 11 | 7 | | 12 | 5 | | 13 | 4 | | 14 | 14 | | 15 | 15 | | 16 | 18 | | 17 | 8 | | 18 | 3 | | 19 | 5 | | 20 | 4 | | 21 | 6 | | 22 | 7 | | 23 | 4 | | 24 | 10 | | 25 | 8 | | 26 | 3 | | 27 | 7 | | 28 | 6 | | 29 | 15 | | 30 | 6 | | 31 | 10 | | 32 | 3 | | 33 | 4 | | 34 | 10 | | 35 | 6 | | 36 | 4 | | 37 | 7 | | 38 | 1 | | 39 | 9 | | 40 | 10 | | 41 | 3 | | 42 | 10 | | 43 | 16 | | 44 | 19 | | 45 | 7 | | 46 | 14 | | 47 | 6 | | 48 | 13 | | 49 | 8 |
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| 53.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.36666666666666664 | | totalSentences | 90 | | uniqueOpeners | 33 | |
| 55.56% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 60 | | matches | | 0 | "Somewhere, a clock struck nine." |
| | ratio | 0.017 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 10 | | totalSentences | 60 | | matches | | 0 | "Her pen hovered above the" | | 1 | "She’d been here since dusk," | | 2 | "she said, not turning" | | 3 | "she corrected, voice low" | | 4 | "She closed the ledger with" | | 5 | "She gripped the bar, her" | | 6 | "She remembered—flashes of fire, sirens," | | 7 | "Her father’s blood on her" | | 8 | "She’d been seventeen, amnesiac and" | | 9 | "She pressed something into Aurora’s" |
| | ratio | 0.167 | |
| 10.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 60 | | matches | | 0 | "The bouncer’s hand hovered near" | | 1 | "Aurora didn’t look up from" | | 2 | "Her pen hovered above the" | | 3 | "The bar’s green neon sign" | | 4 | "She’d been here since dusk," | | 5 | "The scar on her left" | | 6 | "she said, not turning" | | 7 | "The woman in the leather" | | 8 | "The collar of her coat" | | 9 | "Aurora’s pen tapped the ledger" | | 10 | "the woman said" | | 11 | "Aurora finally looked up." | | 12 | "The face staring back at" | | 13 | "The eyes were the same—hazel," | | 14 | "The woman’s hair, once a" | | 15 | "A signet ring glinted on" | | 16 | "she corrected, voice low" | | 17 | "The words landed like a" | | 18 | "Aurora’s hand drifted to the" | | 19 | "Eva’s lips curved into something" |
| | ratio | 0.9 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 60 | | matches | (empty) | | ratio | 0 | |
| 67.67% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 19 | | technicalSentenceCount | 2 | | matches | | 0 | "The scar on her left wrist—a pale crescent from childhood—ached when she flexed her hand, a reminder of the fire that had taken her parents and left her with no…" | | 1 | "She’d been seventeen, amnesiac and shaking, with a lawyer’s briefcase full of money and a scar that wouldn’t heal." |
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| 19.74% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 4 | | matches | | 0 | "she said, not turning" | | 1 | "she corrected, voice low" | | 2 | "Eva slid, the wood creaking" | | 3 | "Eva leaned in, her perfume sharp with bergamot and something metallic" |
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| 3.66% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 6 | | fancyTags | | 0 | "Aurora breathed (breathe)" | | 1 | "she corrected (correct)" | | 2 | "She pressed (press)" | | 3 | "Aurora whispered (whisper)" | | 4 | "Eva murmured (murmur)" | | 5 | "Eva breathed (breathe)" |
| | dialogueSentences | 41 | | tagDensity | 0.317 | | leniency | 0.634 | | rawRatio | 0.462 | | effectiveRatio | 0.293 | |