| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 45 | | tagDensity | 0.156 | | leniency | 0.311 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 84.85% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 660 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 31.82% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 660 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "comforting" | | 1 | "flicked" | | 2 | "warmth" | | 3 | "familiar" | | 4 | "silk" | | 5 | "traced" | | 6 | "silence" | | 7 | "weight" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "sent a shiver through" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 67 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 67 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 104 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 22 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 654 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 51 | | wordCount | 508 | | uniqueNames | 6 | | maxNameDensity | 4.72 | | worstName | "Eva" | | maxWindowNameDensity | 9 | | worstWindowName | "Eva" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Silas | 5 | | Eva | 24 | | Rory | 19 | | London | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Eva" | | 4 | "Rory" |
| | places | | | globalScore | 0 | | windowScore | 0 | |
| 93.18% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 44 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like a stranger" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 654 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 104 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 63 | | mean | 10.38 | | std | 8.5 | | cv | 0.819 | | sampleLengths | | 0 | 52 | | 1 | 31 | | 2 | 8 | | 3 | 9 | | 4 | 15 | | 5 | 18 | | 6 | 20 | | 7 | 13 | | 8 | 11 | | 9 | 14 | | 10 | 3 | | 11 | 1 | | 12 | 35 | | 13 | 4 | | 14 | 15 | | 15 | 13 | | 16 | 12 | | 17 | 17 | | 18 | 6 | | 19 | 2 | | 20 | 3 | | 21 | 8 | | 22 | 6 | | 23 | 7 | | 24 | 11 | | 25 | 13 | | 26 | 6 | | 27 | 2 | | 28 | 20 | | 29 | 4 | | 30 | 9 | | 31 | 10 | | 32 | 2 | | 33 | 13 | | 34 | 6 | | 35 | 20 | | 36 | 16 | | 37 | 2 | | 38 | 11 | | 39 | 16 | | 40 | 3 | | 41 | 3 | | 42 | 13 | | 43 | 12 | | 44 | 11 | | 45 | 4 | | 46 | 2 | | 47 | 1 | | 48 | 8 | | 49 | 15 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 67 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 102 | | matches | (empty) | |
| 32.97% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 104 | | ratio | 0.038 | | matches | | 0 | "The hum of conversation wrapped around her like a thick blanket—somewhere between comforting and suffocating." | | 1 | "Familiar, but rougher—like gravel dragged through silk." | | 2 | "Rory studied Eva’s face—the new lines around her mouth, the way she held herself too still." | | 3 | "Eva leaned in, the scent of her perfume—something expensive and floral—clashing with the bar’s musk." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 514 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.033073929961089495 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.007782101167315175 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 104 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 104 | | mean | 6.29 | | std | 4.35 | | cv | 0.692 | | sampleLengths | | 0 | 22 | | 1 | 15 | | 2 | 15 | | 3 | 17 | | 4 | 14 | | 5 | 8 | | 6 | 5 | | 7 | 4 | | 8 | 15 | | 9 | 9 | | 10 | 9 | | 11 | 5 | | 12 | 15 | | 13 | 13 | | 14 | 11 | | 15 | 7 | | 16 | 7 | | 17 | 3 | | 18 | 1 | | 19 | 7 | | 20 | 13 | | 21 | 15 | | 22 | 4 | | 23 | 6 | | 24 | 9 | | 25 | 8 | | 26 | 5 | | 27 | 7 | | 28 | 5 | | 29 | 4 | | 30 | 13 | | 31 | 3 | | 32 | 3 | | 33 | 2 | | 34 | 3 | | 35 | 6 | | 36 | 2 | | 37 | 3 | | 38 | 3 | | 39 | 7 | | 40 | 11 | | 41 | 9 | | 42 | 4 | | 43 | 6 | | 44 | 2 | | 45 | 16 | | 46 | 4 | | 47 | 3 | | 48 | 1 | | 49 | 5 |
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| 63.78% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.3942307692307692 | | totalSentences | 104 | | uniqueOpeners | 41 | |
| 55.56% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 60 | | matches | | 0 | "Somewhere in the bar, ice" |
| | ratio | 0.017 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 9 | | totalSentences | 60 | | matches | | 0 | "She spotted Silas behind the" | | 1 | "His hazel eyes flicked up" | | 2 | "she said, sliding onto the" | | 3 | "He poured without comment, pushing" | | 4 | "Her childhood friend looked like" | | 5 | "She wore a tailored blazer," | | 6 | "He poured her a double" | | 7 | "She offered Rory a cigarette." | | 8 | "They exhaled in unison, twin" |
| | ratio | 0.15 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 60 | | matches | | 0 | "The Raven's Nest smelled of" | | 1 | "Aurora wiped her damp palms" | | 2 | "The hum of conversation wrapped" | | 3 | "She spotted Silas behind the" | | 4 | "His hazel eyes flicked up" | | 5 | "she said, sliding onto the" | | 6 | "Silas set down the glass." | | 7 | "Rory rotated her left wrist" | | 8 | "He poured without comment, pushing" | | 9 | "The first sip burned, settling" | | 10 | "The door creaked open again." | | 11 | "A draft of cold air" | | 12 | "Rory didn’t look up until" | | 13 | "The voice sent a jolt" | | 14 | "Rory turned slowly." | | 15 | "Her childhood friend looked like" | | 16 | "The soft curves of her" | | 17 | "She wore a tailored blazer," | | 18 | "Eva signaled Silas with two" | | 19 | "He poured her a double" |
| | ratio | 0.967 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 60 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 16 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 1 | | matches | | 0 | "Rory rotated, the crescent scar catching the dim light" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 45 | | tagDensity | 0.067 | | leniency | 0.133 | | rawRatio | 0 | | effectiveRatio | 0 | |