| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "Aurora said quietly [quietly]" |
| | dialogueSentences | 40 | | tagDensity | 0.3 | | leniency | 0.6 | | rawRatio | 0.083 | | effectiveRatio | 0.05 | |
| 86.86% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1903 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slightly" | | 1 | "softly" | | 2 | "really" | | 3 | "slowly" |
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| 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) | |
| 63.22% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1903 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "vibrated" | | 1 | "familiar" | | 2 | "weight" | | 3 | "traced" | | 4 | "predictable" | | 5 | "tracing" | | 6 | "warmth" | | 7 | "silence" | | 8 | "chill" | | 9 | "unspoken" | | 10 | "echoing" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 85 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 85 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 112 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 73 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1902 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 25 | | unquotedAttributions | 0 | | matches | (empty) | |
| 62.86% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 54 | | wordCount | 1205 | | uniqueNames | 11 | | maxNameDensity | 1.74 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 21 | | Raven | 1 | | Nest | 1 | | Golden | 2 | | Empress | 2 | | Soho | 3 | | Atlantic | 1 | | Cardiff | 1 | | London | 1 | | Silas | 5 | | Eva | 16 |
| | persons | | 0 | "Aurora" | | 1 | "Raven" | | 2 | "Nest" | | 3 | "Silas" | | 4 | "Eva" |
| | places | | 0 | "Golden" | | 1 | "Soho" | | 2 | "Cardiff" | | 3 | "London" |
| | globalScore | 0.629 | | windowScore | 0.667 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 5 | | matches | | 0 | "quite reach her eyes" | | 1 | "felt like a test" | | 2 | "as if bracing against a draft that had long since passed through" | | 3 | "breath that seemed to carry years of swallowed words with it" | | 4 | "sounded like something finally released" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.526 | | wordCount | 1902 | | matches | | 0 | "not in dramatic leaps, but in quiet erosions" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 112 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 48.77 | | std | 31.49 | | cv | 0.646 | | sampleLengths | | 0 | 101 | | 1 | 95 | | 2 | 110 | | 3 | 39 | | 4 | 17 | | 5 | 36 | | 6 | 70 | | 7 | 25 | | 8 | 2 | | 9 | 4 | | 10 | 8 | | 11 | 59 | | 12 | 21 | | 13 | 43 | | 14 | 50 | | 15 | 35 | | 16 | 76 | | 17 | 32 | | 18 | 64 | | 19 | 35 | | 20 | 82 | | 21 | 75 | | 22 | 98 | | 23 | 67 | | 24 | 67 | | 25 | 56 | | 26 | 23 | | 27 | 65 | | 28 | 31 | | 29 | 4 | | 30 | 43 | | 31 | 28 | | 32 | 14 | | 33 | 82 | | 34 | 7 | | 35 | 5 | | 36 | 76 | | 37 | 112 | | 38 | 45 |
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| 97.01% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 85 | | matches | | 0 | "been replaced" | | 1 | "was carried" | | 2 | "was replaced" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 201 | | matches | | 0 | "was listening" | | 1 | "was turning" | | 2 | "was shifting" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 112 | | ratio | 0.009 | | matches | | 0 | "Time had moved around her the way it always did when people stop watching it closely—not in dramatic leaps, but in quiet erosions." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1208 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 40 | | adverbRatio | 0.033112582781456956 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.009933774834437087 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 112 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 112 | | mean | 16.98 | | std | 14.59 | | cv | 0.859 | | sampleLengths | | 0 | 20 | | 1 | 21 | | 2 | 25 | | 3 | 35 | | 4 | 27 | | 5 | 23 | | 6 | 45 | | 7 | 3 | | 8 | 10 | | 9 | 36 | | 10 | 37 | | 11 | 18 | | 12 | 6 | | 13 | 7 | | 14 | 24 | | 15 | 8 | | 16 | 4 | | 17 | 11 | | 18 | 2 | | 19 | 14 | | 20 | 15 | | 21 | 7 | | 22 | 6 | | 23 | 11 | | 24 | 33 | | 25 | 20 | | 26 | 12 | | 27 | 10 | | 28 | 3 | | 29 | 2 | | 30 | 4 | | 31 | 8 | | 32 | 17 | | 33 | 19 | | 34 | 11 | | 35 | 12 | | 36 | 8 | | 37 | 4 | | 38 | 9 | | 39 | 10 | | 40 | 26 | | 41 | 7 | | 42 | 12 | | 43 | 10 | | 44 | 6 | | 45 | 22 | | 46 | 8 | | 47 | 12 | | 48 | 15 | | 49 | 19 |
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| 42.56% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.30357142857142855 | | totalSentences | 112 | | uniqueOpeners | 34 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 79 | | matches | (empty) | | ratio | 0 | |
| 68.10% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 79 | | matches | | 0 | "She pushed through the heavy" | | 1 | "She only meant to slip" | | 2 | "His hazel eyes lifted, took" | | 3 | "He knew better than to" | | 4 | "Her voice was lower than" | | 5 | "She set the paper bag" | | 6 | "She pushed the tumbler slightly" | | 7 | "She kept her hands folded" | | 8 | "She traced the condensation on" | | 9 | "He moved with his characteristic" | | 10 | "He didn’t look at them," | | 11 | "She held it, counted the" | | 12 | "She watched the ice melt," | | 13 | "Her eyes, once so bright" | | 14 | "She hadn’t realized someone had" | | 15 | "She hadn’t realized anyone looked" | | 16 | "She let the warmth of" | | 17 | "It fell onto the table," | | 18 | "He didn’t speak." | | 19 | "He just tapped twice on" |
| | ratio | 0.38 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 79 | | matches | | 0 | "The green neon sign above" | | 1 | "She pushed through the heavy" | | 2 | "The air inside was thick" | | 3 | "She only meant to slip" | | 4 | "Eva sat in the corner" | | 5 | "Time had moved around her" | | 6 | "Aurora’s steps slowed." | | 7 | "The leather of her grip" | | 8 | "Years had carved a quiet" | | 9 | "His hazel eyes lifted, took" | | 10 | "He knew better than to" | | 11 | "Eva said before Aurora could" | | 12 | "Her voice was lower than" | | 13 | "She set the paper bag" | | 14 | "Eva’s mouth twitched, the ghost" | | 15 | "She pushed the tumbler slightly" | | 16 | "Aurora slid into the opposite" | | 17 | "The booth seat sighed under" | | 18 | "She kept her hands folded" | | 19 | "The neon sign threw a" |
| | ratio | 0.924 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 79 | | matches | (empty) | | ratio | 0 | |
| 60.44% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 52 | | technicalSentenceCount | 6 | | matches | | 0 | "The green neon sign above the door sputtered once, then settled into a steady hum that vibrated in Aurora’s molars." | | 1 | "The air inside was thick with the smell of aged oak, citrus peel, and the faint metallic tang of gin that clung to every surface." | | 2 | "Twenty-three and all sharp angles, pre-law textbooks, and impatience with anything that required stillness had been replaced by someone with softer lines, someo…" | | 3 | "But her feet carried her forward anyway, past the shadowed arch of the bar, past Silas, who stood behind the polished wood polishing a glass with a cloth so whi…" | | 4 | "Eva’s mouth twitched, the ghost of a smile that didn’t quite reach her eyes." | | 5 | "Aurora studied the lines around Eva’s mouth, the careful way she held her shoulders as if bracing against a draft that had long since passed through." |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 2 | | matches | | 0 | "Eva said, though the words felt like a test" | | 1 | "Eva said, and the words carried a quiet ache" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 40 | | tagDensity | 0.275 | | leniency | 0.55 | | rawRatio | 0 | | effectiveRatio | 0 | |