| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 1 | | adverbTags | | 0 | "Eva said softly [softly]" |
| | dialogueSentences | 47 | | tagDensity | 0.383 | | leniency | 0.766 | | rawRatio | 0.056 | | effectiveRatio | 0.043 | |
| 75.79% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1239 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "carefully" | | 1 | "sharply" | | 2 | "gently" | | 3 | "tightly" | | 4 | "softly" |
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| 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) | |
| 47.54% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1239 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "fractured" | | 1 | "gloom" | | 2 | "pawn" | | 3 | "warmth" | | 4 | "flickered" | | 5 | "flicker" | | 6 | "weight" | | 7 | "echoing" | | 8 | "etched" | | 9 | "glinting" | | 10 | "beacon" | | 11 | "quivered" | | 12 | "silence" |
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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 | 1 | | narrationSentences | 103 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 103 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 132 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 2 | | totalWords | 1225 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 867 | | uniqueNames | 8 | | maxNameDensity | 1.61 | | worstName | "Quinn" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 3 | | Quinn | 14 | | Carl | 1 | | Nye | 7 | | Morris | 4 | | Eva | 3 | | Detective | 1 | | Harlow | 2 |
| | persons | | 0 | "Quinn" | | 1 | "Carl" | | 2 | "Nye" | | 3 | "Morris" | | 4 | "Eva" | | 5 | "Harlow" |
| | places | (empty) | | globalScore | 0.693 | | windowScore | 0 | |
| 53.85% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like ash and soot, etched into the" | | 1 | "something like hope" |
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| 36.73% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.633 | | wordCount | 1225 | | matches | | 0 | "not from lack of sleep, but from being the only one who remembered the patterns" | | 1 | "not north, but toward the dark tunnel beyond the platform" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 132 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 60 | | mean | 20.42 | | std | 22.4 | | cv | 1.097 | | sampleLengths | | 0 | 89 | | 1 | 7 | | 2 | 51 | | 3 | 67 | | 4 | 6 | | 5 | 17 | | 6 | 89 | | 7 | 7 | | 8 | 71 | | 9 | 5 | | 10 | 6 | | 11 | 17 | | 12 | 3 | | 13 | 47 | | 14 | 60 | | 15 | 7 | | 16 | 24 | | 17 | 7 | | 18 | 3 | | 19 | 84 | | 20 | 3 | | 21 | 3 | | 22 | 7 | | 23 | 8 | | 24 | 57 | | 25 | 10 | | 26 | 7 | | 27 | 7 | | 28 | 31 | | 29 | 6 | | 30 | 25 | | 31 | 5 | | 32 | 24 | | 33 | 6 | | 34 | 22 | | 35 | 4 | | 36 | 20 | | 37 | 13 | | 38 | 30 | | 39 | 7 | | 40 | 16 | | 41 | 19 | | 42 | 8 | | 43 | 1 | | 44 | 5 | | 45 | 35 | | 46 | 3 | | 47 | 12 | | 48 | 27 | | 49 | 21 |
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| 95.04% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 103 | | matches | | 0 | "were dilated" | | 1 | "was inflamed" | | 2 | "been erased" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 162 | | matches | | 0 | "was seeing" | | 1 | "was staring" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 132 | | ratio | 0.076 | | matches | | 0 | "The air beneath Camden was thick with mildew and something older—something metallic and wrong, like rusted iron soaked in brine." | | 1 | "She crouched beside the victim—a man in his thirties, wearing a tailored wool coat and shoes too expensive for Camden backstreets." | | 2 | "Behind his left ear, nearly hidden by his collar, was a small, circular mark—like a brand." | | 3 | "Something flickered just at the edge of her peripheral vision—a flicker, then gone." | | 4 | "But the weight of the worn leather watch, ticking silently beneath her cuff, reminded her of Morris—of the way he’d looked at her the last time they’d stood in a tunnel like this, right before the lights went out and the shadows started breathing." | | 5 | "The beam of her flashlight caught something on the wall—faint, almost invisible." | | 6 | "She held a worn leather satchel tightly against her chest, and as Quinn’s flashlight swung her way, she flinched—then tucked a lock of hair behind her left ear." | | 7 | "The way this woman—this stranger—knew things no civilian should." | | 8 | "She reached in—carefully—and pulled out a small, tarnished object." | | 9 | "And this—this was the same trail." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 881 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.03745743473325766 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.014755959137343927 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 132 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 132 | | mean | 9.28 | | std | 7.95 | | cv | 0.856 | | sampleLengths | | 0 | 20 | | 1 | 22 | | 2 | 18 | | 3 | 29 | | 4 | 7 | | 5 | 33 | | 6 | 10 | | 7 | 8 | | 8 | 3 | | 9 | 21 | | 10 | 17 | | 11 | 16 | | 12 | 5 | | 13 | 2 | | 14 | 3 | | 15 | 6 | | 16 | 3 | | 17 | 14 | | 18 | 30 | | 19 | 19 | | 20 | 40 | | 21 | 2 | | 22 | 5 | | 23 | 14 | | 24 | 4 | | 25 | 18 | | 26 | 9 | | 27 | 16 | | 28 | 10 | | 29 | 5 | | 30 | 2 | | 31 | 4 | | 32 | 5 | | 33 | 12 | | 34 | 2 | | 35 | 1 | | 36 | 7 | | 37 | 17 | | 38 | 13 | | 39 | 6 | | 40 | 4 | | 41 | 4 | | 42 | 4 | | 43 | 44 | | 44 | 5 | | 45 | 3 | | 46 | 7 | | 47 | 6 | | 48 | 18 | | 49 | 5 |
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| 51.77% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3560606060606061 | | totalSentences | 132 | | uniqueOpeners | 47 | |
| 76.63% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 87 | | matches | | 0 | "Then, a noise." | | 1 | "Somewhere, deep beneath Camden, stone" |
| | ratio | 0.023 | |
| 91.26% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 87 | | matches | | 0 | "Her breath curled in front" | | 1 | "he said, not looking at" | | 2 | "She crouched beside the victim—a" | | 3 | "He lay sprawled near a" | | 4 | "His mouth was open, eyes" | | 5 | "she replied, her voice low," | | 6 | "She reached into her coat" | | 7 | "She leaned closer, studying the" | | 8 | "She reached out and gently" | | 9 | "It looked old, but the" | | 10 | "she cut in, standing" | | 11 | "She turned her flashlight toward" | | 12 | "She snapped the light toward" | | 13 | "Her left wrist ached." | | 14 | "She’d buried him without answers." | | 15 | "She wasn’t going to do" | | 16 | "She stepped past him, moving" | | 17 | "She recognized one: an inverted" | | 18 | "It was the same mark" | | 19 | "Her breath caught." |
| | ratio | 0.322 | |
| 57.70% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 70 | | totalSentences | 87 | | matches | | 0 | "The air beneath Camden was" | | 1 | "Harlow Quinn stepped carefully over" | | 2 | "Her breath curled in front" | | 3 | "The beam of her flashlight" | | 4 | "DS Carl Nye stood by" | | 5 | "he said, not looking at" | | 6 | "Quinn didn’t answer." | | 7 | "She crouched beside the victim—a" | | 8 | "He lay sprawled near a" | | 9 | "His mouth was open, eyes" | | 10 | "Nye exhaled sharply." | | 11 | "she replied, her voice low," | | 12 | "She reached into her coat" | | 13 | "She leaned closer, studying the" | | 14 | "The pupils were dilated." | | 15 | "Skin had a faint grayish" | | 16 | "She reached out and gently" | | 17 | "It looked old, but the" | | 18 | "she cut in, standing" | | 19 | "She turned her flashlight toward" |
| | ratio | 0.805 | |
| 57.47% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 87 | | matches | | | ratio | 0.011 | |
| 96.77% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 2 | | matches | | 0 | "Harlow Quinn stepped carefully over a fractured tile, her polished brogues crunching on grit and debris that hadn’t seen daylight in decades." | | 1 | "His mouth was open, eyes wide, fixed on the tunnel ceiling as if he'd died mid-scream." |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 3 | | matches | | 0 | "he said, not looking at her" | | 1 | "Quinn said, voice firm" | | 2 | "the woman said, her voice trembling but laced with urgency" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 2 | | fancyTags | | 0 | "the woman whispered (whisper)" | | 1 | "Quinn interrupted (interrupt)" |
| | dialogueSentences | 47 | | tagDensity | 0.319 | | leniency | 0.638 | | rawRatio | 0.133 | | effectiveRatio | 0.085 | |