| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 2 | | adverbTags | | 0 | "Quinn finally said [finally]" | | 1 | "Quinn wondered aloud [aloud]" |
| | dialogueSentences | 40 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.1 | | effectiveRatio | 0.1 | |
| 70.34% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1180 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "slightly" | | 1 | "sharply" | | 2 | "nervously" | | 3 | "very" | | 4 | "suddenly" | | 5 | "truly" |
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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) | |
| 2.54% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1180 | | totalAiIsms | 23 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "echoes" | | 1 | "silence" | | 2 | "familiar" | | 3 | "scanning" | | 4 | "gloom" | | 5 | "intrigue" | | 6 | "calculating" | | 7 | "chill" | | 8 | "perfect" | | 9 | "sense of" | | 10 | "unspoken" | | 11 | "footsteps" | | 12 | "shattered" | | 13 | "glinting" | | 14 | "flickered" | | 15 | "oppressive" | | 16 | "intricate" | | 17 | "chilling" | | 18 | "disrupted" | | 19 | "unravel" |
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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 | 0 | | narrationSentences | 75 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 75 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 95 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1172 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 12.39% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 56 | | wordCount | 872 | | uniqueNames | 13 | | maxNameDensity | 2.75 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 3 | | Quinn | 24 | | Tube | 2 | | Camden | 1 | | Veil | 2 | | Market | 2 | | Eva | 15 | | Kowalski | 1 | | Symbols | 1 | | Two | 1 | | Detective | 2 | | Morris | 1 | | London | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Eva" | | 3 | "Kowalski" | | 4 | "Symbols" | | 5 | "Morris" |
| | places | | | globalScore | 0.124 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1172 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 95 | | matches | (empty) | |
| 85.88% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 27.9 | | std | 12.57 | | cv | 0.451 | | sampleLengths | | 0 | 62 | | 1 | 48 | | 2 | 45 | | 3 | 33 | | 4 | 30 | | 5 | 52 | | 6 | 17 | | 7 | 33 | | 8 | 35 | | 9 | 12 | | 10 | 15 | | 11 | 26 | | 12 | 24 | | 13 | 25 | | 14 | 12 | | 15 | 47 | | 16 | 20 | | 17 | 23 | | 18 | 28 | | 19 | 22 | | 20 | 20 | | 21 | 14 | | 22 | 41 | | 23 | 20 | | 24 | 26 | | 25 | 24 | | 26 | 18 | | 27 | 17 | | 28 | 31 | | 29 | 26 | | 30 | 15 | | 31 | 31 | | 32 | 48 | | 33 | 24 | | 34 | 25 | | 35 | 16 | | 36 | 26 | | 37 | 10 | | 38 | 22 | | 39 | 39 | | 40 | 54 | | 41 | 16 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 75 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 154 | | matches | (empty) | |
| 22.56% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 1 | | flaggedSentences | 4 | | totalSentences | 95 | | ratio | 0.042 | | matches | | 0 | "Legends about this abandoned Camden station swirled with dark myths; now it housed an even darker reality." | | 1 | "Quinn huffed slightly—a sound almost resembling a chuckle." | | 2 | "Eva nudged one of the discarded items on the ground with her toe—a bone token, commonly used for entry into the Veil Market." | | 3 | "Quinn’s eyes moved rapidly, scanning the surroundings—and then she saw it." |
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| 99.58% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 878 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.03644646924829157 | | lyAdverbCount | 18 | | lyAdverbRatio | 0.02050113895216401 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 95 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 95 | | mean | 12.34 | | std | 5.51 | | cv | 0.447 | | sampleLengths | | 0 | 20 | | 1 | 9 | | 2 | 16 | | 3 | 17 | | 4 | 9 | | 5 | 19 | | 6 | 20 | | 7 | 23 | | 8 | 12 | | 9 | 10 | | 10 | 21 | | 11 | 12 | | 12 | 30 | | 13 | 8 | | 14 | 18 | | 15 | 13 | | 16 | 13 | | 17 | 10 | | 18 | 7 | | 19 | 16 | | 20 | 4 | | 21 | 13 | | 22 | 14 | | 23 | 8 | | 24 | 5 | | 25 | 8 | | 26 | 12 | | 27 | 10 | | 28 | 5 | | 29 | 9 | | 30 | 17 | | 31 | 7 | | 32 | 13 | | 33 | 4 | | 34 | 21 | | 35 | 4 | | 36 | 4 | | 37 | 8 | | 38 | 16 | | 39 | 18 | | 40 | 13 | | 41 | 20 | | 42 | 8 | | 43 | 15 | | 44 | 23 | | 45 | 5 | | 46 | 13 | | 47 | 9 | | 48 | 20 | | 49 | 14 |
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| 80.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.5052631578947369 | | totalSentences | 95 | | uniqueOpeners | 48 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 72 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 10 | | totalSentences | 72 | | matches | | 0 | "She glanced at her watch," | | 1 | "She stood clutching her leather" | | 2 | "He wore a crisp suit," | | 3 | "She crouched beside the body," | | 4 | "She gestured toward it." | | 5 | "he said, holding up a" | | 6 | "she murmured, noting the symbols" | | 7 | "They stepped over a rusty" | | 8 | "He handed it to Quinn," | | 9 | "Her tone brooked no argument" |
| | ratio | 0.139 | |
| 15.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 72 | | matches | | 0 | "Detective Harlow Quinn stood at" | | 1 | "The distorted echoes of dripping" | | 2 | "She glanced at her watch," | | 3 | "Legends about this abandoned Camden" | | 4 | "The call had come at" | | 5 | "A body had been found" | | 6 | "Quinn had arrived to find" | | 7 | "She stood clutching her leather" | | 8 | "Eva's green eyes held a" | | 9 | "Quinn asked, scrutinizing the awkward" | | 10 | "He wore a crisp suit," | | 11 | "Eva's freckles blended with the" | | 12 | "Quinn huffed slightly—a sound almost" | | 13 | "She crouched beside the body," | | 14 | "A jagged tear marred the" | | 15 | "A clean crime scene suggests" | | 16 | "Eva mused, her voice breaking" | | 17 | "Quinn whispered, her eyes narrowing" | | 18 | "She gestured toward it." | | 19 | "The forensic photographer nodded, the" |
| | ratio | 0.889 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 72 | | matches | (empty) | | ratio | 0 | |
| 86.47% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 3 | | matches | | 0 | "Quinn had arrived to find forensic teams already at work, their torches slicing through the gloom, highlighting the morbid tableau." | | 1 | "Symbols she'd seen during cases that fought constantly against slipping into the inexplicable." | | 2 | "At the center was an intricate, drawn sigil on the floor, still fresh as if hurriedly completed." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 7 | | matches | | 0 | "Eva's freckles blended, a hint of academic fervor in her voice" | | 1 | "She crouched, her fingers deftly moving to examine the wound" | | 2 | "Eva mused, her voice breaking the eerie silence" | | 3 | "Quinn finally said, more to herself than to Eva" | | 4 | "Quinn commanded, torchlight bouncing off the grimy walls as they moved deeper" | | 5 | "Quinn said, crouching to pick up faded pamphlets and a broken vial" | | 6 | "Quinn ordered, the words punctuating the twisted mystery expanding beneath London's streets" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 7 | | fancyTags | | 0 | "Quinn whispered (whisper)" | | 1 | "she murmured (murmur)" | | 2 | "Eva added (add)" | | 3 | "she murmured (murmur)" | | 4 | "Quinn muttered (mutter)" | | 5 | "she whispered (whisper)" | | 6 | "Quinn ordered (order)" |
| | dialogueSentences | 40 | | tagDensity | 0.325 | | leniency | 0.65 | | rawRatio | 0.538 | | effectiveRatio | 0.35 | |