| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 21 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.18% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1309 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 27.43% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1309 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "silence" | | 1 | "pristine" | | 2 | "traced" | | 3 | "echoes" | | 4 | "throb" | | 5 | "perfect" | | 6 | "rhythmic" | | 7 | "etched" | | 8 | "flickered" | | 9 | "dancing" | | 10 | "tension" | | 11 | "measured" | | 12 | "imposing" | | 13 | "pulse" | | 14 | "weight" | | 15 | "whisper" | | 16 | "scanning" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 79 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 79 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 94 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 18 | | totalWords | 1306 | | ratio | 0.014 | | matches | | 0 | "The Market moved. Found a bone token at the Camden station. I need you to translate the geometry." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 98.16% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 1061 | | uniqueNames | 8 | | maxNameDensity | 1.04 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 2 | | Quinn | 11 | | Veil | 1 | | Market | 2 | | Eva | 6 | | Kowalski | 1 | | London | 1 | | Victorian | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Market" | | 2 | "Eva" | | 3 | "Kowalski" |
| | places | | 0 | "Camden" | | 1 | "London" | | 2 | "Victorian" |
| | globalScore | 0.982 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.766 | | wordCount | 1306 | | matches | | 0 | "not the damp walls covered in graffiti, but a shimmering, transient architecture" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 94 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 35.3 | | std | 19.58 | | cv | 0.555 | | sampleLengths | | 0 | 58 | | 1 | 51 | | 2 | 46 | | 3 | 52 | | 4 | 70 | | 5 | 33 | | 6 | 35 | | 7 | 44 | | 8 | 9 | | 9 | 10 | | 10 | 74 | | 11 | 45 | | 12 | 35 | | 13 | 23 | | 14 | 67 | | 15 | 21 | | 16 | 2 | | 17 | 27 | | 18 | 19 | | 19 | 54 | | 20 | 35 | | 21 | 44 | | 22 | 48 | | 23 | 56 | | 24 | 42 | | 25 | 31 | | 26 | 47 | | 27 | 26 | | 28 | 21 | | 29 | 25 | | 30 | 30 | | 31 | 1 | | 32 | 7 | | 33 | 3 | | 34 | 67 | | 35 | 31 | | 36 | 17 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 79 | | matches | | |
| 80.95% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 168 | | matches | | 0 | "was fraying" | | 1 | "were trading" | | 2 | "was already waiting" |
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| 21.28% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 1 | | flaggedSentences | 4 | | totalSentences | 94 | | ratio | 0.043 | | matches | | 0 | "There, half-hidden in the ballast, lay a small, calcified token—a shard of bone, intricately carved with symbols that made her pupils throb." | | 1 | "Her vision splintered, showing her not the damp walls covered in graffiti, but a shimmering, transient architecture—arches built of fog and flickering black flame." | | 2 | "She headed toward the museum, her steps measured, her mind dissecting the scene—the lack of struggle, the pristine clothes, the way the body had been centered between the rails, as if it were an offering." | | 3 | "\"This is a key, Quinn. It’s not just a token; it’s a coordinate.\"" |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1070 | | adjectiveStacks | 2 | | stackExamples | | 0 | "middle-aged, tailor-made suit" | | 1 | "wide behind round glasses," |
| | adverbCount | 22 | | adverbRatio | 0.020560747663551402 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.008411214953271028 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 94 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 94 | | mean | 13.89 | | std | 7.67 | | cv | 0.552 | | sampleLengths | | 0 | 14 | | 1 | 12 | | 2 | 32 | | 3 | 12 | | 4 | 19 | | 5 | 20 | | 6 | 15 | | 7 | 15 | | 8 | 2 | | 9 | 3 | | 10 | 11 | | 11 | 22 | | 12 | 10 | | 13 | 20 | | 14 | 9 | | 15 | 4 | | 16 | 16 | | 17 | 24 | | 18 | 17 | | 19 | 19 | | 20 | 14 | | 21 | 21 | | 22 | 14 | | 23 | 13 | | 24 | 22 | | 25 | 9 | | 26 | 9 | | 27 | 10 | | 28 | 22 | | 29 | 13 | | 30 | 24 | | 31 | 3 | | 32 | 12 | | 33 | 6 | | 34 | 4 | | 35 | 17 | | 36 | 18 | | 37 | 19 | | 38 | 16 | | 39 | 23 | | 40 | 9 | | 41 | 7 | | 42 | 23 | | 43 | 15 | | 44 | 13 | | 45 | 21 | | 46 | 2 | | 47 | 9 | | 48 | 18 | | 49 | 19 |
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| 49.65% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3617021276595745 | | totalSentences | 94 | | uniqueOpeners | 34 | |
| 43.29% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 77 | | matches | | 0 | "Just the stillness of a" |
| | ratio | 0.013 | |
| 58.96% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 77 | | matches | | 0 | "She caught the scent of" | | 1 | "He kept his hands stuffed" | | 2 | "Her brown eyes narrowed." | | 3 | "She reached into her pocket," | | 4 | "She didn't need the compass" | | 5 | "she said, her voice cutting" | | 6 | "It hummed, a low-frequency vibration" | | 7 | "She reached out, ignoring the" | | 8 | "Her vision splintered, showing her" | | 9 | "It had moved, and it" | | 10 | "She pocketed the token." | | 11 | "He didn't see the way" | | 12 | "She walked toward the edge" | | 13 | "She remembered Eva Kowalski, the" | | 14 | "She turned, her coat sweeping" | | 15 | "She left him standing there," | | 16 | "She reached the street level" | | 17 | "I need you to translate" | | 18 | "She looked at her watch." | | 19 | "She headed toward the museum," |
| | ratio | 0.403 | |
| 18.44% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 77 | | matches | | 0 | "The damp air of the" | | 1 | "Quinn stepped onto the platform," | | 2 | "The yellow line had long" | | 3 | "She caught the scent of" | | 4 | "The uniform officers had taped" | | 5 | "Quinn knelt, the leather of" | | 6 | "A man, middle-aged, tailor-made suit" | | 7 | "the duty sergeant remarked, standing" | | 8 | "He kept his hands stuffed" | | 9 | "Quinn traced the dead man’s" | | 10 | "Her brown eyes narrowed." | | 11 | "The skin around the victim’s" | | 12 | "She reached into her pocket," | | 13 | "She didn't need the compass" | | 14 | "she said, her voice cutting" | | 15 | "the sergeant countered, his voice" | | 16 | "Quinn ignored him, her attention" | | 17 | "There, half-hidden in the ballast," | | 18 | "It hummed, a low-frequency vibration" | | 19 | "She reached out, ignoring the" |
| | ratio | 0.883 | |
| 64.94% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 77 | | matches | | 0 | "If anyone could decipher the" |
| | ratio | 0.013 | |
| 65.22% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 5 | | matches | | 0 | "There, half-hidden in the ballast, lay a small, calcified token—a shard of bone, intricately carved with symbols that made her pupils throb." | | 1 | "It hummed, a low-frequency vibration that rattled her teeth." | | 2 | "Upstairs, the rumble of modern London felt fake, a thin veneer stretched over a reality that was jagged and hungry." | | 3 | "She knew they were trading, buying things that shouldn't exist, and dragging the remnants of the old world into the light of the new." | | 4 | "She leaned in, her gaze scanning the indentations as if they were lines of blood." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 3 | | matches | | 0 | "she said, her voice cutting through the hollow echoes of the station" | | 1 | "the sergeant countered, his voice tight" | | 2 | "Eva murmured, her hand tremors visible despite her attempt to steady them" |
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| 54.76% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "Quinn ordered (order)" | | 1 | "Eva murmured (murmur)" |
| | dialogueSentences | 21 | | tagDensity | 0.19 | | leniency | 0.381 | | rawRatio | 0.5 | | effectiveRatio | 0.19 | |