| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 1 | | adverbTags | | 0 | "Eva said quietly [quietly]" |
| | dialogueSentences | 43 | | tagDensity | 0.395 | | leniency | 0.791 | | rawRatio | 0.059 | | effectiveRatio | 0.047 | |
| 86.68% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1501 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "softly" | | 1 | "sharply" | | 2 | "slowly" | | 3 | "carefully" |
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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) | |
| 40.04% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1501 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "gloom" | | 1 | "silence" | | 2 | "stomach" | | 3 | "tracing" | | 4 | "standard" | | 5 | "etched" | | 6 | "wavered" | | 7 | "trembled" | | 8 | "raced" | | 9 | "pulsed" | | 10 | "echoes" | | 11 | "pulse" | | 12 | "spectral" | | 13 | "echoing" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 2 |
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| | highlights | | 0 | "eyes narrowed" | | 1 | "eyes widened" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 106 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 106 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 131 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 17 | | markdownWords | 18 | | totalWords | 1494 | | ratio | 0.012 | | matches | | 0 | "under" | | 1 | "unofficially" | | 2 | "standard" | | 3 | "moved" | | 4 | "unnaturally" | | 5 | "click" | | 6 | "thing" | | 7 | "thing" | | 8 | "twitched" | | 9 | "not human" | | 10 | "pulsed" | | 11 | "looking" | | 12 | "feel" | | 13 | "hunt" | | 14 | "stretched" | | 15 | "twitched" | | 16 | "looked" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 20 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 51 | | wordCount | 1114 | | uniqueNames | 10 | | maxNameDensity | 1.89 | | worstName | "Eva" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Eva" | | discoveredNames | | Tube | 1 | | Quinn | 20 | | Camden | 1 | | Veil | 2 | | Market | 2 | | Kowalski | 1 | | British | 1 | | Museum | 1 | | Eva | 21 | | Morris | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Market" | | 2 | "Kowalski" | | 3 | "Museum" | | 4 | "Eva" | | 5 | "Morris" |
| | places | | | globalScore | 0.557 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 1 | | matches | | 0 | "as if reaching for something just beyond the light" |
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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 | 1494 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 131 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 32.48 | | std | 26.12 | | cv | 0.804 | | sampleLengths | | 0 | 112 | | 1 | 16 | | 2 | 1 | | 3 | 104 | | 4 | 35 | | 5 | 7 | | 6 | 62 | | 7 | 23 | | 8 | 87 | | 9 | 24 | | 10 | 11 | | 11 | 7 | | 12 | 77 | | 13 | 10 | | 14 | 60 | | 15 | 11 | | 16 | 25 | | 17 | 60 | | 18 | 13 | | 19 | 42 | | 20 | 23 | | 21 | 26 | | 22 | 49 | | 23 | 54 | | 24 | 18 | | 25 | 6 | | 26 | 48 | | 27 | 14 | | 28 | 46 | | 29 | 8 | | 30 | 15 | | 31 | 51 | | 32 | 13 | | 33 | 47 | | 34 | 12 | | 35 | 13 | | 36 | 44 | | 37 | 15 | | 38 | 40 | | 39 | 29 | | 40 | 48 | | 41 | 7 | | 42 | 21 | | 43 | 42 | | 44 | 12 | | 45 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 106 | | matches | | |
| 13.78% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 179 | | matches | | 0 | "was bulging" | | 1 | "was pulling" | | 2 | "was packing" | | 3 | "were screaming" | | 4 | "wasn’t letting" |
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| 33.81% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 131 | | ratio | 0.038 | | matches | | 0 | "The abandoned Tube station smelled of damp concrete and something older—something that clung to the back of Quinn’s throat like the ghost of a bad memory." | | 1 | "Quinn had called her in as a consultant—*unofficially*—after the first body turned up three weeks ago, its fingers blackened like charred wood, its mouth stretched in a silent scream." | | 2 | "Not like a trick of the light—no, this was deliberate, a slow, creeping shift, as if something beneath the surface of the tiles was pulling at it." | | 3 | "All found in locations tied to the Veil Market—an old church crypt, a derelict theater, now this." | | 4 | "She could almost *feel* it—the hum of something just out of sight, just out of reach." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1120 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 36 | | adverbRatio | 0.03214285714285714 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.005357142857142857 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 131 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 131 | | mean | 11.4 | | std | 7.85 | | cv | 0.688 | | sampleLengths | | 0 | 26 | | 1 | 28 | | 2 | 22 | | 3 | 6 | | 4 | 19 | | 5 | 11 | | 6 | 11 | | 7 | 5 | | 8 | 1 | | 9 | 22 | | 10 | 17 | | 11 | 25 | | 12 | 29 | | 13 | 8 | | 14 | 3 | | 15 | 12 | | 16 | 23 | | 17 | 4 | | 18 | 3 | | 19 | 25 | | 20 | 23 | | 21 | 10 | | 22 | 4 | | 23 | 3 | | 24 | 19 | | 25 | 1 | | 26 | 5 | | 27 | 20 | | 28 | 13 | | 29 | 17 | | 30 | 13 | | 31 | 19 | | 32 | 6 | | 33 | 18 | | 34 | 7 | | 35 | 4 | | 36 | 4 | | 37 | 3 | | 38 | 16 | | 39 | 10 | | 40 | 3 | | 41 | 27 | | 42 | 3 | | 43 | 15 | | 44 | 3 | | 45 | 10 | | 46 | 10 | | 47 | 38 | | 48 | 12 | | 49 | 3 |
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| 44.66% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.2748091603053435 | | totalSentences | 131 | | uniqueOpeners | 36 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 99 | | matches | | 0 | "Just the usual nervous energy," | | 1 | "Instead, she led Quinn past" | | 2 | "Instead, it *moved*." | | 3 | "All found in locations tied" | | 4 | "Instead, she walked to the" | | 5 | "Then she reached into her" | | 6 | "Instead, she stepped over the" |
| | ratio | 0.071 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 99 | | matches | | 0 | "She adjusted the strap of" | | 1 | "She didn’t believe in coincidences." | | 2 | "She hesitated, her fingers twitching" | | 3 | "Her voice dropped" | | 4 | "She didn’t like the way" | | 5 | "His eyes were open, milky" | | 6 | "She crouched beside him, her" | | 7 | "It should have been a" | | 8 | "She’d seen a lot of" | | 9 | "she demanded, her voice low" | | 10 | "She reached into her satchel" | | 11 | "She didn’t like it." | | 12 | "She stood abruptly, her boots" | | 13 | "She gestured to the compass" | | 14 | "She crouched again, this time" | | 15 | "It started at the fingertips" | | 16 | "She reached for a pair" | | 17 | "She set the hand down" | | 18 | "She turned to Eva." | | 19 | "She held up the compass" |
| | ratio | 0.283 | |
| 71.11% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 77 | | totalSentences | 99 | | matches | | 0 | "The abandoned Tube station smelled" | | 1 | "She adjusted the strap of" | | 2 | "The beam of her torch" | | 3 | "This wasn’t just any crime" | | 4 | "This was *under* Camden, beneath" | | 5 | "Quinn exhaled through her nose," | | 6 | "She didn’t believe in coincidences." | | 7 | "The voice came from the" | | 8 | "Eva Kowalski stood with her" | | 9 | "The leather satchel slung over" | | 10 | "Quinn had called her in" | | 11 | "The coroner had ruled it" | | 12 | "Quinn knew better." | | 13 | "Eva said, though there was" | | 14 | "Quinn ignored the comment." | | 15 | "Eva gestured toward the far" | | 16 | "She hesitated, her fingers twitching" | | 17 | "Her voice dropped" | | 18 | "Quinn’s jaw tightened." | | 19 | "She didn’t like the way" |
| | ratio | 0.778 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 99 | | matches | | 0 | "Because she’d been here before." | | 1 | "Because for the first time" |
| | ratio | 0.02 | |
| 55.39% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 6 | | matches | | 0 | "The abandoned Tube station smelled of damp concrete and something older—something that clung to the back of Quinn’s throat like the ghost of a bad memory." | | 1 | "His eyes were open, milky and unseeing, but it was his hands that made Quinn’s stomach clench." | | 2 | "Not like a trick of the light—no, this was deliberate, a slow, creeping shift, as if something beneath the surface of the tiles was pulling at it." | | 3 | "And all of them, according to Eva, with shadows that refused to lie still." | | 4 | "She reached for a pair of latex gloves from her pocket, snapping them on before carefully lifting one of his hands." | | 5 | "She didn’t like the way the victim’s shadow *stretched*, as if reaching for something just beyond the light." |
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| 36.76% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 3 | | matches | | 0 | "She hesitated, her fingers twitching toward her satchel before she caught herself" | | 1 | "she demanded, her voice low" | | 2 | "she said, her voice steady" |
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| 33.72% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 5 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "she demanded (demand)" | | 2 | "Eva corrected (correct)" | | 3 | "she muttered (mutter)" | | 4 | "Eva corrected (correct)" |
| | dialogueSentences | 43 | | tagDensity | 0.233 | | leniency | 0.465 | | rawRatio | 0.5 | | effectiveRatio | 0.233 | |