| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 23 | | tagDensity | 0.13 | | leniency | 0.261 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.11% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 726 | | totalAiIsmAdverbs | 1 | | 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) | |
| 31.13% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 726 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "pulsed" | | 1 | "silence" | | 2 | "unspoken" | | 3 | "tension" | | 4 | "stomach" | | 5 | "flickered" | | 6 | "weight" |
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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 | 62 | | matches | (empty) | |
| 96.77% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 62 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 81 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 718 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 59.54% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 608 | | uniqueNames | 8 | | maxNameDensity | 1.81 | | worstName | "Silas" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Carter | 1 | | Rory | 8 | | Evan | 1 | | Cardiff | 1 | | Silas | 11 | | Camden | 1 |
| | persons | | 0 | "Raven" | | 1 | "Carter" | | 2 | "Rory" | | 3 | "Evan" | | 4 | "Silas" |
| | places | | | globalScore | 0.595 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 37 | | 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 | 718 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 81 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 21.12 | | std | 19.64 | | cv | 0.93 | | sampleLengths | | 0 | 70 | | 1 | 75 | | 2 | 6 | | 3 | 13 | | 4 | 1 | | 5 | 21 | | 6 | 13 | | 7 | 27 | | 8 | 21 | | 9 | 11 | | 10 | 7 | | 11 | 8 | | 12 | 12 | | 13 | 12 | | 14 | 3 | | 15 | 65 | | 16 | 35 | | 17 | 15 | | 18 | 6 | | 19 | 10 | | 20 | 34 | | 21 | 5 | | 22 | 38 | | 23 | 5 | | 24 | 11 | | 25 | 41 | | 26 | 52 | | 27 | 35 | | 28 | 4 | | 29 | 6 | | 30 | 11 | | 31 | 7 | | 32 | 26 | | 33 | 12 |
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| 88.29% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 62 | | matches | | 0 | "were buried" | | 1 | "was gone" | | 2 | "been left" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 103 | | matches | | |
| 37.04% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 81 | | ratio | 0.037 | | matches | | 0 | "The air smelled of aged whiskey and something faintly metallic—old blood, maybe, or the scent of a man who’d spent too many nights nursing wounds he didn’t want to name." | | 1 | "Aurora Carter—Rory, as she preferred—stood just inside the door, her boots scuffing against the worn tiles." | | 2 | "The bar’s walls—painted with old maps and black-and-white photos of men in suits and women in dresses—seemed to breathe." |
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| 92.32% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 615 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.04878048780487805 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.013008130081300813 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 81 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 81 | | mean | 8.86 | | std | 7.57 | | cv | 0.854 | | sampleLengths | | 0 | 21 | | 1 | 19 | | 2 | 30 | | 3 | 16 | | 4 | 6 | | 5 | 28 | | 6 | 25 | | 7 | 4 | | 8 | 2 | | 9 | 12 | | 10 | 1 | | 11 | 1 | | 12 | 5 | | 13 | 8 | | 14 | 8 | | 15 | 10 | | 16 | 3 | | 17 | 16 | | 18 | 11 | | 19 | 13 | | 20 | 8 | | 21 | 6 | | 22 | 5 | | 23 | 2 | | 24 | 5 | | 25 | 4 | | 26 | 4 | | 27 | 9 | | 28 | 3 | | 29 | 4 | | 30 | 8 | | 31 | 3 | | 32 | 19 | | 33 | 21 | | 34 | 6 | | 35 | 19 | | 36 | 13 | | 37 | 8 | | 38 | 14 | | 39 | 11 | | 40 | 4 | | 41 | 3 | | 42 | 3 | | 43 | 3 | | 44 | 7 | | 45 | 13 | | 46 | 4 | | 47 | 2 | | 48 | 2 | | 49 | 2 |
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| 48.15% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3333333333333333 | | totalSentences | 81 | | uniqueOpeners | 27 | |
| 58.48% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 57 | | matches | | 0 | "All that remained was the" |
| | ratio | 0.018 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 57 | | matches | | 0 | "She hadn’t come for the" | | 1 | "She’d come for the man" | | 2 | "She exhaled through her nose," | | 3 | "He slid it across the" | | 4 | "Her name, scrawled in ink" | | 5 | "He just watched her, his" | | 6 | "She unfolded the paper, the" | | 7 | "Her stomach twisted." | | 8 | "she breathed, the name a" | | 9 | "He just waited." | | 10 | "It hit the bar with" | | 11 | "His fingers brushed hers." | | 12 | "She swallowed hard." |
| | ratio | 0.228 | |
| 12.63% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 57 | | matches | | 0 | "The neon glow of the" | | 1 | "Silas leaned against the bar," | | 2 | "The air smelled of aged" | | 3 | "Aurora Carter—Rory, as she preferred—stood" | | 4 | "She hadn’t come for the" | | 5 | "She’d come for the man" | | 6 | "The one who’d let her" | | 7 | "Silas didn’t look up." | | 8 | "She exhaled through her nose," | | 9 | "The words were a punch." | | 10 | "Rory had forgotten how sharp" | | 11 | "Silas finally turned, his hazel" | | 12 | "A silence settled between them," | | 13 | "The kind of silence that" | | 14 | "Rory said, her voice quieter" | | 15 | "Silas tilted his head, studying" | | 16 | "A beat of silence." | | 17 | "Rory’s fingers tightened around the" | | 18 | "Silas didn’t deny it." | | 19 | "The bar’s walls—painted with old" |
| | ratio | 0.895 | |
| 87.72% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 57 | | matches | | 0 | "Now, here she was, standing" |
| | ratio | 0.018 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 1 | | matches | | 0 | "The air smelled of aged whiskey and something faintly metallic—old blood, maybe, or the scent of a man who’d spent too many nights nursing wounds he didn’t want…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 3 | | matches | | 0 | "Rory said, her voice quieter than she intended" | | 1 | "Silas cut, his voice low" | | 2 | "she breathed, the name a prayer" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "she breathed (breathe)" |
| | dialogueSentences | 23 | | tagDensity | 0.087 | | leniency | 0.174 | | rawRatio | 0.5 | | effectiveRatio | 0.087 | |