| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 1 | | adverbTags | | 0 | "She stopped again [again]" |
| | dialogueSentences | 63 | | tagDensity | 0.381 | | leniency | 0.762 | | rawRatio | 0.042 | | effectiveRatio | 0.032 | |
| 87.85% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1646 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slowly" | | 1 | "very" | | 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) | |
| 90.89% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1646 | | totalAiIsms | 3 | | found | | | highlights | | |
| 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 | 113 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 113 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 152 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 2 | | totalWords | 1629 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 27 | | unquotedAttributions | 0 | | matches | (empty) | |
| 75.04% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 43 | | wordCount | 1134 | | uniqueNames | 9 | | maxNameDensity | 1.5 | | worstName | "Silas" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Tuesday | 1 | | Coke | 3 | | Silas | 17 | | Aurora | 16 | | Prague | 2 | | Took | 1 | | Swallowed | 1 |
| | persons | | 0 | "Raven" | | 1 | "Coke" | | 2 | "Silas" | | 3 | "Aurora" |
| | places | | | globalScore | 0.75 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed obscene in the silence that followed" |
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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 | 1629 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 152 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 74 | | mean | 22.01 | | std | 18.08 | | cv | 0.821 | | sampleLengths | | 0 | 70 | | 1 | 27 | | 2 | 15 | | 3 | 78 | | 4 | 29 | | 5 | 19 | | 6 | 5 | | 7 | 49 | | 8 | 32 | | 9 | 15 | | 10 | 1 | | 11 | 1 | | 12 | 50 | | 13 | 39 | | 14 | 4 | | 15 | 5 | | 16 | 13 | | 17 | 12 | | 18 | 15 | | 19 | 76 | | 20 | 30 | | 21 | 10 | | 22 | 23 | | 23 | 20 | | 24 | 9 | | 25 | 32 | | 26 | 3 | | 27 | 4 | | 28 | 2 | | 29 | 16 | | 30 | 24 | | 31 | 8 | | 32 | 22 | | 33 | 5 | | 34 | 28 | | 35 | 49 | | 36 | 3 | | 37 | 47 | | 38 | 4 | | 39 | 1 | | 40 | 27 | | 41 | 51 | | 42 | 22 | | 43 | 9 | | 44 | 13 | | 45 | 13 | | 46 | 30 | | 47 | 43 | | 48 | 11 | | 49 | 25 |
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| 89.74% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 113 | | matches | | 0 | "been taught" | | 1 | "been taken" | | 2 | "passed" | | 3 | "were wrapped" | | 4 | "was pinned" | | 5 | "caught" |
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| 15.67% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 217 | | matches | | 0 | "was nursing" | | 1 | "was polishing" | | 2 | "wasn't listening" | | 3 | "was resting" | | 4 | "was offering" | | 5 | "was still learning" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 17 | | semicolonCount | 0 | | flaggedSentences | 14 | | totalSentences | 152 | | ratio | 0.092 | | matches | | 0 | "Aurora clocked the woman immediately—the way you do when someone enters a room with intent." | | 1 | "Her voice was low, roughened by something—age, or smoke, or both." | | 2 | "Aurora felt the air change—the way it does before a storm, that pressure drop you feel in your teeth." | | 3 | "Silas reached for a bottle of whiskey—the good one, the one he kept on the top shelf for people he didn't like—and poured two glasses without asking." | | 4 | "Not from Silas—Silas didn't talk about Prague." | | 5 | "But looking at the woman now—at the way her fingers were wrapped around the glass, at the careful blankness of her face—Aurora thought she understood something about the word *wrong*." | | 6 | "Aurora shifted on her stool, and the woman's eyes flicked to her—a quick, assessing glance, the kind that catalogued and dismissed in the same breath." | | 7 | "\"Si.\" Her voice cracked on the syllable—just barely, just for a second, but Aurora heard it." | | 8 | "It was small—a tightening around the eyes, a breath caught and held—but it was there." | | 9 | "Her coat swung open, and Aurora caught a glimpse of something at her waist—a shape too angular to be anything but a holster." | | 10 | "Then she laughed—a short, bitter sound that had nothing to do with humor." | | 11 | "\"Now I don't think about it at all.\" She looked at him—really looked, for the first time since she'd walked in." | | 12 | "He looked at it for a moment—at the inch of whiskey still in the bottom, at the faint smudge of lipstick on the rim." | | 13 | "She thought about the way Silas had said *friend*—like it was a word he was still learning to use." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1153 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 41 | | adverbRatio | 0.03555941023417172 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.005203816131830009 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 152 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 152 | | mean | 10.72 | | std | 8.22 | | cv | 0.767 | | sampleLengths | | 0 | 34 | | 1 | 36 | | 2 | 15 | | 3 | 12 | | 4 | 15 | | 5 | 5 | | 6 | 15 | | 7 | 9 | | 8 | 6 | | 9 | 13 | | 10 | 30 | | 11 | 4 | | 12 | 25 | | 13 | 4 | | 14 | 11 | | 15 | 4 | | 16 | 5 | | 17 | 7 | | 18 | 17 | | 19 | 25 | | 20 | 7 | | 21 | 18 | | 22 | 7 | | 23 | 7 | | 24 | 8 | | 25 | 1 | | 26 | 1 | | 27 | 4 | | 28 | 19 | | 29 | 27 | | 30 | 27 | | 31 | 6 | | 32 | 6 | | 33 | 4 | | 34 | 5 | | 35 | 10 | | 36 | 3 | | 37 | 10 | | 38 | 2 | | 39 | 4 | | 40 | 11 | | 41 | 5 | | 42 | 7 | | 43 | 24 | | 44 | 3 | | 45 | 5 | | 46 | 9 | | 47 | 23 | | 48 | 30 | | 49 | 5 |
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| 41.45% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.27631578947368424 | | totalSentences | 152 | | uniqueOpeners | 42 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 102 | | matches | | 0 | "Then back to Silas." | | 1 | "Then she laughed—a short, bitter" | | 2 | "Then he poured it into" | | 3 | "Somewhere upstairs, Aurora's phone buzzed" |
| | ratio | 0.039 | |
| 63.14% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 102 | | matches | | 0 | "he'd said, not looking up" | | 1 | "she'd said, which was a" | | 2 | "She was tall, or maybe" | | 3 | "She stood in the doorway" | | 4 | "Her voice was low, roughened" | | 5 | "She moved like someone who" | | 6 | "She took the stool two" | | 7 | "He just stood there, one" | | 8 | "She picked up her Coke" | | 9 | "He slid one across the" | | 10 | "She smiled at that, but" | | 11 | "He raised his glass" | | 12 | "She didn't raise hers." | | 13 | "It sounded like an accusation." | | 14 | "She turned the glass in" | | 15 | "Her voice cracked on the" | | 16 | "she went on" | | 17 | "she said, quieter now" | | 18 | "She broke off, pressed a" | | 19 | "She shook her head" |
| | ratio | 0.392 | |
| 28.63% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 88 | | totalSentences | 102 | | matches | | 0 | "The Raven's Nest was quiet" | | 1 | "Aurora had claimed the stool" | | 2 | "he'd said, not looking up" | | 3 | "she'd said, which was a" | | 4 | "The door opened at 9:47." | | 5 | "Aurora clocked the woman immediately—the" | | 6 | "She was tall, or maybe" | | 7 | "A dark coat that cost" | | 8 | "She stood in the doorway" | | 9 | "Silas's hand stopped mid-polish." | | 10 | "The glass caught the green" | | 11 | "the woman said" | | 12 | "Her voice was low, roughened" | | 13 | "Aurora watched the woman cross" | | 14 | "She moved like someone who" | | 15 | "She took the stool two" | | 16 | "Silas didn't move to pour" | | 17 | "He just stood there, one" | | 18 | "The silver signet ring caught" | | 19 | "the woman said" |
| | ratio | 0.863 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 102 | | matches | (empty) | | ratio | 0 | |
| 51.28% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 5 | | matches | | 0 | "The Raven's Nest was quiet for a Tuesday, which meant the usual three drunks at the far end and a couple in the corner who hadn't stopped arguing since they'd o…" | | 1 | "The glass caught the green light from the sign outside, held it, and then he set it down with a care that was almost theatrical." | | 2 | "Aurora shifted on her stool, and the woman's eyes flicked to her—a quick, assessing glance, the kind that catalogued and dismissed in the same breath." | | 3 | "The bell above it chimed, a small, cheerful sound that seemed obscene in the silence that followed." | | 4 | "She sat there for a long time, holding her Coke, watching the door." |
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| 83.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 2 | | matches | | 0 | "Silas said, and the word landed like a door closing" | | 1 | "he said, without looking at her" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 2 | | fancyTags | | 0 | "he'd (would)" | | 1 | "she'd (would)" |
| | dialogueSentences | 63 | | tagDensity | 0.19 | | leniency | 0.381 | | rawRatio | 0.167 | | effectiveRatio | 0.063 | |