| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | 0 | "Tomás said softly [softly]" |
| | dialogueSentences | 40 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0.067 | | effectiveRatio | 0.05 | |
| 86.79% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1892 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slowly" | | 1 | "really" | | 2 | "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) | |
| 44.50% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1892 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "weight" | | 1 | "familiar" | | 2 | "silence" | | 3 | "footsteps" | | 4 | "echoing" | | 5 | "chill" | | 6 | "echo" | | 7 | "shimmered" | | 8 | "gloom" | | 9 | "flickered" | | 10 | "cacophony" | | 11 | "tapestry" | | 12 | "porcelain" | | 13 | "scanned" | | 14 | "velvet" | | 15 | "flicked" | | 16 | "eyebrow" |
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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 | 242 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 242 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 266 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 7 | | totalWords | 1891 | | ratio | 0.004 | | matches | | 0 | "Click. Click. Click." | | 1 | "Scrape. Thud. Scrape. Thud." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 1649 | | uniqueNames | 17 | | maxNameDensity | 0.18 | | worstName | "Tomás" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Tomás" | | discoveredNames | | Chinese | 1 | | Olympian | 1 | | Camden | 1 | | Town | 1 | | Spain | 1 | | London | 1 | | Glock | 2 | | Footsteps | 1 | | Veil | 1 | | Market | 1 | | Victorian | 1 | | Soho | 1 | | Saint | 1 | | Christopher | 1 | | Tomás | 3 | | Laughter | 1 | | Morris | 1 |
| | persons | | 0 | "Glock" | | 1 | "Saint" | | 2 | "Christopher" | | 3 | "Tomás" | | 4 | "Laughter" | | 5 | "Morris" |
| | places | | 0 | "Camden" | | 1 | "Town" | | 2 | "Spain" | | 3 | "London" | | 4 | "Soho" |
| | globalScore | 1 | | windowScore | 1 | |
| 88.52% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 122 | | glossingSentenceCount | 3 | | matches | | 0 | "sounded like hard bone striking stone" | | 1 | "looked like a child made of shadow wove t" | | 2 | "looked like a disappointed grandfather" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.529 | | wordCount | 1891 | | matches | | 0 | "Not the terror of a victim, but the thrill of a hunt" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 266 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 107 | | mean | 17.67 | | std | 11.35 | | cv | 0.642 | | sampleLengths | | 0 | 12 | | 1 | 36 | | 2 | 3 | | 3 | 18 | | 4 | 41 | | 5 | 29 | | 6 | 20 | | 7 | 35 | | 8 | 16 | | 9 | 21 | | 10 | 7 | | 11 | 38 | | 12 | 18 | | 13 | 21 | | 14 | 2 | | 15 | 22 | | 16 | 39 | | 17 | 38 | | 18 | 3 | | 19 | 17 | | 20 | 25 | | 21 | 7 | | 22 | 3 | | 23 | 28 | | 24 | 16 | | 25 | 31 | | 26 | 5 | | 27 | 7 | | 28 | 16 | | 29 | 24 | | 30 | 22 | | 31 | 19 | | 32 | 7 | | 33 | 36 | | 34 | 16 | | 35 | 12 | | 36 | 10 | | 37 | 34 | | 38 | 3 | | 39 | 27 | | 40 | 13 | | 41 | 6 | | 42 | 17 | | 43 | 17 | | 44 | 36 | | 45 | 10 | | 46 | 28 | | 47 | 26 | | 48 | 8 | | 49 | 24 |
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| 99.46% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 242 | | matches | | 0 | "were tiled" | | 1 | "was made" | | 2 | "was gone" | | 3 | "were stacked" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 301 | | matches | | 0 | "was walking" | | 1 | "was talking" | | 2 | "was looking" | | 3 | "were walking" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 266 | | ratio | 0 | | matches | (empty) | |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1650 | | adjectiveStacks | 2 | | stackExamples | | 0 | "faint, sickly green light." | | 1 | "immense, pressing against my" |
| | adverbCount | 32 | | adverbRatio | 0.019393939393939394 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.0048484848484848485 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 266 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 266 | | mean | 7.11 | | std | 4.62 | | cv | 0.65 | | sampleLengths | | 0 | 12 | | 1 | 4 | | 2 | 12 | | 3 | 13 | | 4 | 3 | | 5 | 4 | | 6 | 3 | | 7 | 13 | | 8 | 5 | | 9 | 10 | | 10 | 12 | | 11 | 4 | | 12 | 2 | | 13 | 13 | | 14 | 10 | | 15 | 9 | | 16 | 10 | | 17 | 5 | | 18 | 9 | | 19 | 6 | | 20 | 6 | | 21 | 16 | | 22 | 13 | | 23 | 16 | | 24 | 8 | | 25 | 13 | | 26 | 5 | | 27 | 1 | | 28 | 1 | | 29 | 17 | | 30 | 4 | | 31 | 17 | | 32 | 4 | | 33 | 14 | | 34 | 4 | | 35 | 17 | | 36 | 2 | | 37 | 8 | | 38 | 5 | | 39 | 9 | | 40 | 4 | | 41 | 15 | | 42 | 15 | | 43 | 5 | | 44 | 10 | | 45 | 17 | | 46 | 11 | | 47 | 1 | | 48 | 1 | | 49 | 1 |
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| 41.10% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 34 | | diversityRatio | 0.3233082706766917 | | totalSentences | 266 | | uniqueOpeners | 86 | |
| 32.68% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 204 | | matches | | 0 | "All fixed on me." | | 1 | "Then, a sound from the" |
| | ratio | 0.01 | |
| 25.88% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 99 | | totalSentences | 204 | | matches | | 0 | "He vaulted the rusted bollard," | | 1 | "I didn't break stride." | | 2 | "My boots slammed into the" | | 3 | "I ignored it." | | 4 | "My voice cracked through the" | | 5 | "He didn't even look back." | | 6 | "We cut through the narrow" | | 7 | "He hurdled a stack of" | | 8 | "I scrambled over, scraping my" | | 9 | "I checked my stride, keeping" | | 10 | "We burst onto the high" | | 11 | "He landed in a roll" | | 12 | "I raised my radio, thumbing" | | 13 | "I skidded around the corner," | | 14 | "He hurdled the barrier, tore" | | 15 | "I holstered my weapon and" | | 16 | "It swallowed the neon light" | | 17 | "My eyes adjusted slowly." | | 18 | "I drew my Glock, holding" | | 19 | "My leather watch strap dug" |
| | ratio | 0.485 | |
| 16.37% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 181 | | totalSentences | 204 | | matches | | 0 | "He vaulted the rusted bollard," | | 1 | "I didn't break stride." | | 2 | "My boots slammed into the" | | 3 | "The rain hissed against the" | | 4 | "I ignored it." | | 5 | "My voice cracked through the" | | 6 | "He didn't even look back." | | 7 | "We cut through the narrow" | | 8 | "Grease and stale beer mingled" | | 9 | "The suspect was fast." | | 10 | "He hurdled a stack of" | | 11 | "I scrambled over, scraping my" | | 12 | "A sharp sting registered, then" | | 13 | "I checked my stride, keeping" | | 14 | "This wasn't a normal runner." | | 15 | "This guy was just warming" | | 16 | "We burst onto the high" | | 17 | "Traffic lights swung in the" | | 18 | "A taxi blared its horn," | | 19 | "He landed in a roll" |
| | ratio | 0.887 | |
| 73.53% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 204 | | matches | | 0 | "If I walked away now," | | 1 | "If I went in there" | | 2 | "If I went in as" |
| | ratio | 0.015 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 60 | | technicalSentenceCount | 2 | | matches | | 0 | "Rumours of a shadow economy for the things that go bump in the night." | | 1 | "Below me lay a cavernous space, lit by hundreds of glowing lanterns that floated in the air like jellyfish." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 75.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 3 | | fancyTags | | 0 | "I whispered (whisper)" | | 1 | "I demanded (demand)" | | 2 | "someone shrieked (shriek)" |
| | dialogueSentences | 40 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.375 | | effectiveRatio | 0.15 | |