| 46.15% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 4 | | adverbTags | | 0 | "He leaned back [back]" | | 1 | "Silas said suddenly [suddenly]" | | 2 | "He gestured vaguely [vaguely]" | | 3 | "Silas countered softly [softly]" |
| | dialogueSentences | 52 | | tagDensity | 0.346 | | leniency | 0.692 | | rawRatio | 0.222 | | effectiveRatio | 0.154 | |
| 80.56% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1543 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "loosely" | | 1 | "slightly" | | 2 | "suddenly" | | 3 | "softly" |
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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) | |
| 54.63% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1543 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "chill" | | 1 | "weight" | | 2 | "pulsed" | | 3 | "scanned" | | 4 | "gloom" | | 5 | "crystal" | | 6 | "silence" | | 7 | "tracing" | | 8 | "warmth" | | 9 | "pulse" | | 10 | "tension" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "knuckles turned white" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
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| | highlights | | 0 | "knuckles turned white" | | 1 | "hung in the air" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 85 | | matches | (empty) | |
| 58.82% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 5 | | narrationSentences | 85 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "try to" | | 2 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 119 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1533 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 1082 | | uniqueNames | 7 | | maxNameDensity | 1.29 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Yu-Fei | 1 | | London | 1 | | Rory | 14 | | Silas | 13 | | Evan | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Yu-Fei" | | 3 | "Rory" | | 4 | "Silas" | | 5 | "Evan" |
| | places | | | globalScore | 0.853 | | windowScore | 0.833 | |
| 39.71% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | glossingSentenceCount | 3 | | matches | | 0 | "photographs that seemed to stare back from the gloom" | | 1 | "felt like a fracture in the pavement sh" | | 2 | "felt like it cracked her ribs" |
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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 | 1533 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 119 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 28.92 | | std | 25.08 | | cv | 0.867 | | sampleLengths | | 0 | 65 | | 1 | 76 | | 2 | 53 | | 3 | 51 | | 4 | 1 | | 5 | 66 | | 6 | 22 | | 7 | 23 | | 8 | 20 | | 9 | 1 | | 10 | 1 | | 11 | 36 | | 12 | 8 | | 13 | 24 | | 14 | 2 | | 15 | 6 | | 16 | 34 | | 17 | 1 | | 18 | 6 | | 19 | 71 | | 20 | 78 | | 21 | 20 | | 22 | 2 | | 23 | 21 | | 24 | 26 | | 25 | 6 | | 26 | 3 | | 27 | 44 | | 28 | 3 | | 29 | 58 | | 30 | 16 | | 31 | 42 | | 32 | 3 | | 33 | 9 | | 34 | 10 | | 35 | 90 | | 36 | 19 | | 37 | 42 | | 38 | 5 | | 39 | 45 | | 40 | 92 | | 41 | 9 | | 42 | 50 | | 43 | 35 | | 44 | 44 | | 45 | 21 | | 46 | 1 | | 47 | 28 | | 48 | 31 | | 49 | 21 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 85 | | matches | (empty) | |
| 87.01% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 177 | | matches | | 0 | "was nursing" | | 1 | "was walking" | | 2 | "was sitting" |
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| 70.83% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 119 | | ratio | 0.025 | | matches | | 0 | "The Raven’s Nest smelled the same as it always had—oak polish, stale tobacco, and the distinct, sharp aroma of a gin press." | | 1 | "It was the way her shoulders sat—hunched just a fraction, defensive even when she was sitting still." | | 2 | "But as she looked at the ring on Silas’s finger—the symbol of a life she had never touched—and the maps on the walls that charted the borders of nations she had never crossed, the lie died in her throat." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1092 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 37 | | adverbRatio | 0.03388278388278388 | | lyAdverbCount | 19 | | lyAdverbRatio | 0.0173992673992674 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 119 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 119 | | mean | 12.88 | | std | 9.62 | | cv | 0.747 | | sampleLengths | | 0 | 17 | | 1 | 15 | | 2 | 33 | | 3 | 22 | | 4 | 19 | | 5 | 13 | | 6 | 22 | | 7 | 26 | | 8 | 27 | | 9 | 11 | | 10 | 24 | | 11 | 16 | | 12 | 1 | | 13 | 3 | | 14 | 3 | | 15 | 14 | | 16 | 21 | | 17 | 25 | | 18 | 3 | | 19 | 3 | | 20 | 16 | | 21 | 23 | | 22 | 12 | | 23 | 8 | | 24 | 1 | | 25 | 1 | | 26 | 13 | | 27 | 8 | | 28 | 8 | | 29 | 7 | | 30 | 8 | | 31 | 22 | | 32 | 2 | | 33 | 2 | | 34 | 6 | | 35 | 10 | | 36 | 20 | | 37 | 4 | | 38 | 1 | | 39 | 6 | | 40 | 34 | | 41 | 6 | | 42 | 3 | | 43 | 8 | | 44 | 20 | | 45 | 21 | | 46 | 34 | | 47 | 23 | | 48 | 13 | | 49 | 7 |
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| 36.55% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.2605042016806723 | | totalSentences | 119 | | uniqueOpeners | 31 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 79 | | matches | (empty) | | ratio | 0 | |
| 47.85% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 79 | | matches | | 0 | "She was twenty minutes late," | | 1 | "She weaved through the knot" | | 2 | "He was nursing a single" | | 3 | "She knew him." | | 4 | "She knew his silhouette better" | | 5 | "He looked up then, his" | | 6 | "He didn’t wave." | | 7 | "He didn’t smile." | | 8 | "He simply set the glass" | | 9 | "He slid it across the" | | 10 | "He leaned back, his leg" | | 11 | "It was ordinary." | | 12 | "It was the mundane she" | | 13 | "He paused, his thumb tracing" | | 14 | "She didn't drink often." | | 15 | "It wasn't about the hair" | | 16 | "It was the way her" | | 17 | "she said, not looking at" | | 18 | "She remained silent, staring into" | | 19 | "He tilted his head, studying" |
| | ratio | 0.43 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 79 | | matches | | 0 | "Rory pulled the collar of" | | 1 | "The heavy brass handle of" | | 2 | "The Raven’s Nest smelled the" | | 3 | "The green neon sign casting" | | 4 | "Rory paused, shaking a damp" | | 5 | "She was twenty minutes late," | | 6 | "The room was a cavern" | | 7 | "She weaved through the knot" | | 8 | "A figure sat in the" | | 9 | "He was nursing a single" | | 10 | "The signet ring on his" | | 11 | "Rory’s steps faltered." | | 12 | "She knew him." | | 13 | "She knew his silhouette better" | | 14 | "He looked up then, his" | | 15 | "Recognition dawned in the crinkles" | | 16 | "He didn’t wave." | | 17 | "He didn’t smile." | | 18 | "He simply set the glass" | | 19 | "Silas said, his voice a" |
| | ratio | 0.937 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 79 | | matches | (empty) | | ratio | 0 | |
| 74.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 4 | | matches | | 0 | "The room was a cavern of dark mahogany walls hung with old maps of London and black-and-white photographs that seemed to stare back from the gloom." | | 1 | "He was nursing a single scotch, his grey-streaked auburn hair pulled back loosely from his face, revealing a beard that had thickened with age." | | 2 | "Recognition dawned in the crinkles at the corners of his eyes, followed by a slow, heavy weight that settled into the lines of his forehead." | | 3 | "Rory exhaled, a long, shuddering breath that felt like it cracked her ribs." |
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| 13.89% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 4 | | matches | | 0 | "Silas said suddenly, his gaze dropping to the box in her hand" | | 1 | "He paused, his thumb tracing the rim of his own glass" | | 2 | "she said, not looking at him" | | 3 | "she said, her voice steady, her eyes finally meeting his" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 2 | | fancyTags | | 0 | "Silas continued (continue)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 52 | | tagDensity | 0.173 | | leniency | 0.346 | | rawRatio | 0.222 | | effectiveRatio | 0.077 | |