| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 31 | | adverbTagCount | 2 | | adverbTags | | 0 | "Silas asked softly [softly]" | | 1 | "I stood too [too]" |
| | dialogueSentences | 85 | | tagDensity | 0.365 | | leniency | 0.729 | | rawRatio | 0.065 | | effectiveRatio | 0.047 | |
| 90.48% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1575 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "perfectly" | | 1 | "softly" | | 2 | "suddenly" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 80.95% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1575 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "crystal" | | 1 | "silk" | | 2 | "unreadable" | | 3 | "charged" | | 4 | "silence" | | 5 | "weight" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 1 | | found | | 0 | | label | "let out a breath" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
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| | highlights | | 0 | "let out a breath" | | 1 | "hung in the air" |
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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 | 0 | | hedgeCount | 0 | | narrationSentences | 106 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 160 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 49 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1572 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 29.86% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 874 | | uniqueNames | 6 | | maxNameDensity | 2.4 | | worstName | "Silas" | | maxWindowNameDensity | 4 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Tuesday | 1 | | Soho | 1 | | Silas | 21 | | Julian | 15 |
| | persons | | 0 | "Raven" | | 1 | "Silas" | | 2 | "Julian" |
| | places | | | globalScore | 0.299 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like what he used to be" |
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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 | 1572 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 160 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 81 | | mean | 19.41 | | std | 16.22 | | cv | 0.836 | | sampleLengths | | 0 | 26 | | 1 | 63 | | 2 | 2 | | 3 | 15 | | 4 | 6 | | 5 | 29 | | 6 | 5 | | 7 | 22 | | 8 | 1 | | 9 | 44 | | 10 | 25 | | 11 | 3 | | 12 | 20 | | 13 | 40 | | 14 | 7 | | 15 | 49 | | 16 | 6 | | 17 | 23 | | 18 | 5 | | 19 | 40 | | 20 | 36 | | 21 | 24 | | 22 | 31 | | 23 | 4 | | 24 | 49 | | 25 | 23 | | 26 | 6 | | 27 | 47 | | 28 | 28 | | 29 | 5 | | 30 | 36 | | 31 | 17 | | 32 | 3 | | 33 | 8 | | 34 | 4 | | 35 | 23 | | 36 | 3 | | 37 | 52 | | 38 | 2 | | 39 | 18 | | 40 | 25 | | 41 | 38 | | 42 | 2 | | 43 | 21 | | 44 | 14 | | 45 | 7 | | 46 | 26 | | 47 | 20 | | 48 | 42 | | 49 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 106 | | matches | (empty) | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 7 | | totalVerbs | 156 | | matches | | 0 | "was suffocating" | | 1 | "was watching" | | 2 | "were shaking" | | 3 | "was standing" | | 4 | "was holding" | | 5 | "was hammering" | | 6 | "was blinking" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 160 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 876 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 35 | | adverbRatio | 0.03995433789954338 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.0136986301369863 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 160 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 160 | | mean | 9.82 | | std | 7.83 | | cv | 0.797 | | sampleLengths | | 0 | 26 | | 1 | 18 | | 2 | 24 | | 3 | 21 | | 4 | 2 | | 5 | 3 | | 6 | 7 | | 7 | 5 | | 8 | 6 | | 9 | 11 | | 10 | 11 | | 11 | 7 | | 12 | 5 | | 13 | 20 | | 14 | 2 | | 15 | 1 | | 16 | 3 | | 17 | 6 | | 18 | 23 | | 19 | 4 | | 20 | 8 | | 21 | 15 | | 22 | 10 | | 23 | 3 | | 24 | 14 | | 25 | 6 | | 26 | 5 | | 27 | 20 | | 28 | 15 | | 29 | 7 | | 30 | 14 | | 31 | 11 | | 32 | 17 | | 33 | 2 | | 34 | 5 | | 35 | 6 | | 36 | 12 | | 37 | 11 | | 38 | 5 | | 39 | 10 | | 40 | 30 | | 41 | 10 | | 42 | 26 | | 43 | 19 | | 44 | 5 | | 45 | 9 | | 46 | 7 | | 47 | 15 | | 48 | 4 | | 49 | 13 |
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| 47.29% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.34375 | | totalSentences | 160 | | uniqueOpeners | 55 | |
| 72.46% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 92 | | matches | | 0 | "Perfectly cut hair, not a" | | 1 | "Then the phone behind the" |
| | ratio | 0.022 | |
| 6.96% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 49 | | totalSentences | 92 | | matches | | 0 | "I kept my eyes fixed" | | 1 | "I didn't turn." | | 2 | "I took a sip of" | | 3 | "It burned, cheap and sharp." | | 4 | "I caught Silas's reflection in" | | 5 | "He hadn't paused, but the" | | 6 | "He sat, his expensive charcoal" | | 7 | "I turned finally." | | 8 | "He looked tired, though." | | 9 | "He gestured at the amber" | | 10 | "He moved with that deceptive," | | 11 | "He placed a bottle of" | | 12 | "He turned back to me," | | 13 | "I swirled the whisky, watching" | | 14 | "He spat the words like" | | 15 | "I thought of the flat" | | 16 | "He leaned closer, invading my" | | 17 | "He reached out, his fingers" | | 18 | "I didn't pull away, but" | | 19 | "He stared at me." |
| | ratio | 0.533 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 88 | | totalSentences | 92 | | matches | | 0 | "I kept my eyes fixed" | | 1 | "The Raven's Nest was quiet" | | 2 | "Silas stood behind the bar," | | 3 | "I didn't turn." | | 4 | "I took a sip of" | | 5 | "It burned, cheap and sharp." | | 6 | "The stool next to mine" | | 7 | "I caught Silas's reflection in" | | 8 | "He hadn't paused, but the" | | 9 | "He sat, his expensive charcoal" | | 10 | "I turned finally." | | 11 | "Julian looked exactly as he" | | 12 | "He looked tired, though." | | 13 | "The kind of tired that" | | 14 | "He gestured at the amber" | | 15 | "Julian signalled to Silas, holding" | | 16 | "Silas set the cloth down." | | 17 | "He moved with that deceptive," | | 18 | "He placed a bottle of" | | 19 | "Julian smiled, but it didn't" |
| | ratio | 0.957 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 92 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 1 | | matches | | 0 | "Perfectly cut hair, not a strand out of place, eyes that had seen the inside of too many courtrooms and not enough sunlight." |
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| 76.61% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 31 | | uselessAdditionCount | 3 | | matches | | 0 | "He reached out, his fingers brushing my arm" | | 1 | "I reached out, a mockery of intimacy" | | 2 | "Silas placed, the golden liquid catching the neon light" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 2 | | fancyTags | | 0 | "He spat (spit)" | | 1 | "I whispered (whisper)" |
| | dialogueSentences | 85 | | tagDensity | 0.082 | | leniency | 0.165 | | rawRatio | 0.286 | | effectiveRatio | 0.047 | |