| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 26 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 57 | | tagDensity | 0.456 | | leniency | 0.912 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.45% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1422 | | totalAiIsmAdverbs | 3 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 1 |
| | 2 | |
| | highlights | | 0 | "slowly" | | 1 | "barely above a whisper" | | 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) | |
| 47.26% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1422 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "measured" | | 1 | "tension" | | 2 | "shattered" | | 3 | "tracing" | | 4 | "silence" | | 5 | "calculated" | | 6 | "whisper" | | 7 | "flicker" | | 8 | "weight" | | 9 | "unreadable" | | 10 | "perfect" | | 11 | "unspoken" | | 12 | "echoing" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "the air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 97 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 97 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 124 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1417 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 968 | | uniqueNames | 12 | | maxNameDensity | 0.62 | | worstName | "Silas" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Soho | 2 | | Blackwood | 1 | | Aurora | 1 | | Carter | 1 | | Rory | 3 | | Pre-Law | 1 | | Silas | 6 | | Silence | 1 | | Cardiff | 1 | | London | 1 |
| | persons | | 0 | "Nest" | | 1 | "Blackwood" | | 2 | "Aurora" | | 3 | "Carter" | | 4 | "Rory" | | 5 | "Silas" | | 6 | "Silence" |
| | places | | 0 | "Raven" | | 1 | "Soho" | | 2 | "Cardiff" | | 3 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 1 | | matches | | 0 | "as if seeing through the floorboards to the cramped space above" |
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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 | 1417 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 124 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 30.8 | | std | 21.34 | | cv | 0.693 | | sampleLengths | | 0 | 66 | | 1 | 70 | | 2 | 9 | | 3 | 37 | | 4 | 10 | | 5 | 35 | | 6 | 29 | | 7 | 43 | | 8 | 12 | | 9 | 38 | | 10 | 48 | | 11 | 25 | | 12 | 30 | | 13 | 36 | | 14 | 13 | | 15 | 66 | | 16 | 4 | | 17 | 57 | | 18 | 10 | | 19 | 44 | | 20 | 14 | | 21 | 32 | | 22 | 22 | | 23 | 23 | | 24 | 43 | | 25 | 8 | | 26 | 49 | | 27 | 7 | | 28 | 70 | | 29 | 17 | | 30 | 16 | | 31 | 48 | | 32 | 21 | | 33 | 31 | | 34 | 6 | | 35 | 49 | | 36 | 17 | | 37 | 8 | | 38 | 45 | | 39 | 8 | | 40 | 1 | | 41 | 17 | | 42 | 46 | | 43 | 7 | | 44 | 35 | | 45 | 95 |
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| 98.03% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 97 | | matches | | 0 | "were calloused" | | 1 | "been replaced" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 169 | | matches | | 0 | "was still trying" | | 1 | "was ending" |
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| 50.69% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 124 | | ratio | 0.032 | | matches | | 0 | "Her gaze swept the room—the maps tacked to the walls, the black-and-white photographs of forgotten places, the few shadows hunched over their drinks." | | 1 | "Aurora Carter—Rory—walked to the bar." | | 2 | "He remembered the story—an accident involving a shattered greenhouse pane when she was twelve." | | 3 | "The man in the corner nursing a gin, the couple arguing in whispers by the window—they were currents in a river Silas was still trying to read." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 678 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, crescent-shaped scar" |
| | adverbCount | 18 | | adverbRatio | 0.02654867256637168 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.004424778761061947 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 124 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 124 | | mean | 11.43 | | std | 7.79 | | cv | 0.682 | | sampleLengths | | 0 | 15 | | 1 | 25 | | 2 | 26 | | 3 | 3 | | 4 | 5 | | 5 | 17 | | 6 | 14 | | 7 | 23 | | 8 | 8 | | 9 | 9 | | 10 | 6 | | 11 | 16 | | 12 | 5 | | 13 | 10 | | 14 | 10 | | 15 | 5 | | 16 | 4 | | 17 | 3 | | 18 | 16 | | 19 | 7 | | 20 | 23 | | 21 | 6 | | 22 | 18 | | 23 | 16 | | 24 | 9 | | 25 | 6 | | 26 | 6 | | 27 | 14 | | 28 | 24 | | 29 | 12 | | 30 | 29 | | 31 | 7 | | 32 | 16 | | 33 | 9 | | 34 | 9 | | 35 | 9 | | 36 | 12 | | 37 | 25 | | 38 | 11 | | 39 | 11 | | 40 | 2 | | 41 | 22 | | 42 | 19 | | 43 | 11 | | 44 | 14 | | 45 | 4 | | 46 | 11 | | 47 | 6 | | 48 | 15 | | 49 | 4 |
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| 50.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.3387096774193548 | | totalSentences | 124 | | uniqueOpeners | 42 | |
| 37.88% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 88 | | matches | | 0 | "Then her eyes landed on" |
| | ratio | 0.011 | |
| 1.82% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 48 | | totalSentences | 88 | | matches | | 0 | "He didn’t look up immediately." | | 1 | "She wore a simple, dark" | | 2 | "Her gaze swept the room—the" | | 3 | "It was a professional’s scan," | | 4 | "He set the glass down." | | 5 | "It made a soft, definitive" | | 6 | "His voice was rougher than" | | 7 | "She didn’t sit." | | 8 | "Her voice was low, steady," | | 9 | "He leaned his forearms on" | | 10 | "Her bright blue eyes held" | | 11 | "She finally pulled out a" | | 12 | "He reached for a bottle" | | 13 | "It wasn’t a question" | | 14 | "It was a statement that" | | 15 | "She glanced at the ceiling," | | 16 | "He poured two fingers of" | | 17 | "She picked up the glass" | | 18 | "Her fingers, he noticed, were" | | 19 | "He remembered the story—an accident" |
| | ratio | 0.545 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 82 | | totalSentences | 88 | | matches | | 0 | "The neon sign outside The" | | 1 | "Silas Blackwood polished a glass" | | 2 | "The door chimed." | | 3 | "He didn’t look up immediately." | | 4 | "A figure paused just inside," | | 5 | "She wore a simple, dark" | | 6 | "Her gaze swept the room—the" | | 7 | "It was a professional’s scan," | | 8 | "Silas saw the recognition hit" | | 9 | "A slight straightening of her" | | 10 | "He set the glass down." | | 11 | "It made a soft, definitive" | | 12 | "His voice was rougher than" | | 13 | "Aurora Carter—Rory—walked to the bar." | | 14 | "Each step was measured." | | 15 | "She didn’t sit." | | 16 | "Her voice was low, steady," | | 17 | "He leaned his forearms on" | | 18 | "Her bright blue eyes held" | | 19 | "A muscle twitched in his" |
| | ratio | 0.932 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 88 | | matches | (empty) | | ratio | 0 | |
| 73.73% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 3 | | matches | | 0 | "There was a hardness there that hadn’t existed before, a cool shield over whatever lay beneath." | | 1 | "It was a statement that contained the entire shape of her disappointment." | | 2 | "It was in the vast, silent ocean of time that had passed between them, shaping them into strangers who remembered each other’s shadows." |
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| 9.62% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 26 | | uselessAdditionCount | 6 | | matches | | 0 | "He leaned, the motion revealing the slight tension in his shoulders" | | 1 | "She glanced, as if seeing through the floorboards to the cramped space above" | | 2 | "he corrected, his voice dropping" | | 3 | "He picked up, his thumb tracing the rim" | | 4 | "she asked, her voice barely above a whisper" | | 5 | "He leaned, his voice dropping further" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 2 | | fancyTags | | 0 | "he corrected (correct)" | | 1 | "he admitted (admit)" |
| | dialogueSentences | 57 | | tagDensity | 0.158 | | leniency | 0.316 | | rawRatio | 0.222 | | effectiveRatio | 0.07 | |