| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said finally [finally]" |
| | dialogueSentences | 72 | | tagDensity | 0.319 | | leniency | 0.639 | | rawRatio | 0.043 | | effectiveRatio | 0.028 | |
| 88.49% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1303 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slightly" | | 1 | "slowly" | | 2 | "really" |
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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) | |
| 69.30% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1303 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "familiar" | | 1 | "silence" | | 2 | "trembled" | | 3 | "footsteps" | | 4 | "calculating" |
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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 | 95 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 95 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 143 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 57 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1290 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 693 | | uniqueNames | 7 | | maxNameDensity | 1.59 | | worstName | "Silas" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Evan" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Soho | 1 | | Silas | 11 | | Evan | 9 | | Silence | 2 | | Aurora | 7 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Evan" | | 4 | "Silence" | | 5 | "Aurora" |
| | places | | | globalScore | 0.706 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | 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 | 1290 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 143 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 77 | | mean | 16.75 | | std | 18 | | cv | 1.074 | | sampleLengths | | 0 | 97 | | 1 | 50 | | 2 | 11 | | 3 | 39 | | 4 | 22 | | 5 | 18 | | 6 | 29 | | 7 | 17 | | 8 | 14 | | 9 | 50 | | 10 | 1 | | 11 | 20 | | 12 | 9 | | 13 | 14 | | 14 | 27 | | 15 | 3 | | 16 | 13 | | 17 | 14 | | 18 | 23 | | 19 | 11 | | 20 | 6 | | 21 | 8 | | 22 | 16 | | 23 | 24 | | 24 | 5 | | 25 | 29 | | 26 | 3 | | 27 | 3 | | 28 | 44 | | 29 | 8 | | 30 | 19 | | 31 | 6 | | 32 | 8 | | 33 | 16 | | 34 | 65 | | 35 | 15 | | 36 | 11 | | 37 | 1 | | 38 | 89 | | 39 | 13 | | 40 | 20 | | 41 | 4 | | 42 | 5 | | 43 | 3 | | 44 | 3 | | 45 | 12 | | 46 | 6 | | 47 | 14 | | 48 | 11 | | 49 | 21 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 95 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 130 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 143 | | ratio | 0.063 | | matches | | 0 | "She hadn’t meant to go in—but the lights were on, a rare sight this late, and something tugged at her, a low hum beneath her ribs." | | 1 | "Silas stood behind the bar, polishing a glass with the same slow, deliberate motion he’d had for years—like he was sanding down time itself." | | 2 | "His hazel eyes took her in—her sharp cheekbones slick with rain, the faint shadow under her eyes, the way she held her left wrist instinctively when tired." | | 3 | "But his eyes—pale green, wide-set, always a little too knowing—froze her mid-step." | | 4 | "That made him laugh—short, sharp." | | 5 | "She studied him—the new lines around his eyes, the way his left hand trembled slightly when he set the glass down." | | 6 | "Her fingers brushed the crescent scar on her wrist—old reflex." | | 7 | "He placed a small file on the bar—dark blue cover, no label." | | 8 | "She looked at him—really looked." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 842 | | adjectiveStacks | 1 | | stackExamples | | 0 | "same slow, deliberate motion" |
| | adverbCount | 20 | | adverbRatio | 0.023752969121140142 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.00831353919239905 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 143 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 143 | | mean | 9.02 | | std | 8.89 | | cv | 0.985 | | sampleLengths | | 0 | 25 | | 1 | 18 | | 2 | 28 | | 3 | 26 | | 4 | 5 | | 5 | 21 | | 6 | 24 | | 7 | 9 | | 8 | 2 | | 9 | 3 | | 10 | 27 | | 11 | 5 | | 12 | 4 | | 13 | 15 | | 14 | 7 | | 15 | 12 | | 16 | 6 | | 17 | 29 | | 18 | 15 | | 19 | 2 | | 20 | 14 | | 21 | 8 | | 22 | 16 | | 23 | 14 | | 24 | 12 | | 25 | 1 | | 26 | 2 | | 27 | 2 | | 28 | 2 | | 29 | 1 | | 30 | 1 | | 31 | 12 | | 32 | 9 | | 33 | 8 | | 34 | 6 | | 35 | 8 | | 36 | 19 | | 37 | 3 | | 38 | 10 | | 39 | 3 | | 40 | 5 | | 41 | 9 | | 42 | 2 | | 43 | 15 | | 44 | 6 | | 45 | 11 | | 46 | 5 | | 47 | 1 | | 48 | 4 | | 49 | 4 |
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| 48.02% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.34265734265734266 | | totalSentences | 143 | | uniqueOpeners | 49 | |
| 96.62% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 69 | | matches | | 0 | "Just a twitch at the" | | 1 | "Then at Evan." |
| | ratio | 0.029 | |
| 51.88% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 69 | | matches | | 0 | "She hadn’t meant to go" | | 1 | "She stepped inside, shook the" | | 2 | "His hazel eyes took her" | | 3 | "She unbuttoned her coat, draping" | | 4 | "She managed a smirk, but" | | 5 | "He poured her a ginger" | | 6 | "She turned toward the back" | | 7 | "His hair was shorter, bleached" | | 8 | "Her breath hitched, but her" | | 9 | "He gestured to the seat" | | 10 | "He nodded toward the steaming" | | 11 | "She didn’t move." | | 12 | "Her voice clipped, careful" | | 13 | "He took a sip of" | | 14 | "She turned to Silas." | | 15 | "He gave a single nod," | | 16 | "He rolled the glass between" | | 17 | "She studied him—the new lines" | | 18 | "he said finally" | | 19 | "Her voice stayed low, even" |
| | ratio | 0.42 | |
| 17.97% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 69 | | matches | | 0 | "The green neon of The" | | 1 | "Rain had fallen in steady" | | 2 | "Aurora shoved the heavy oak" | | 3 | "She hadn’t meant to go" | | 4 | "The bar was nearly empty." | | 5 | "A single figure sat near" | | 6 | "Silas stood behind the bar," | | 7 | "She stepped inside, shook the" | | 8 | "Silas glanced up." | | 9 | "His hazel eyes took her" | | 10 | "She unbuttoned her coat, draping" | | 11 | "Silas said, setting the glass" | | 12 | "She managed a smirk, but" | | 13 | "He poured her a ginger" | | 14 | "She turned toward the back" | | 15 | "The man at the corner" | | 16 | "His hair was shorter, bleached" | | 17 | "A jagged scar ran from" | | 18 | "The kind of smile that" | | 19 | "Her breath hitched, but her" |
| | ratio | 0.884 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 69 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 1 | | matches | | 0 | "The kind of smile that knew the exact shape of your silence." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 1 | | matches | | 0 | "Her voice clipped, careful" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 72 | | tagDensity | 0.194 | | leniency | 0.389 | | rawRatio | 0.071 | | effectiveRatio | 0.028 | |