| 64.41% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 4 | | adverbTags | | 0 | "He glanced around [around]" | | 1 | "Silas said finally [finally]" | | 2 | "He gestured around [around]" | | 3 | "he said finally [finally]" |
| | dialogueSentences | 59 | | tagDensity | 0.271 | | leniency | 0.542 | | rawRatio | 0.25 | | effectiveRatio | 0.136 | |
| 89.24% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1394 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 42.61% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1394 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "familiar" | | 1 | "weight" | | 2 | "silence" | | 3 | "etched" | | 4 | "crystal" | | 5 | "newfound" | | 6 | "affection" | | 7 | "perfect" | | 8 | "normalcy" | | 9 | "unspoken" | | 10 | "measured" | | 11 | "throbbed" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "weight of words/silence" | | count | 1 |
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| | highlights | | 0 | "The weight of the silence" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 116 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 116 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 159 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1387 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 49 | | wordCount | 988 | | uniqueNames | 13 | | maxNameDensity | 2.33 | | worstName | "Declan" | | maxWindowNameDensity | 5 | | worstWindowName | "Declan" | | discoveredNames | | Friday | 1 | | Soho | 1 | | Tuesday | 1 | | Italian | 1 | | Silas | 15 | | Vaughn | 1 | | Declan | 23 | | Moscow | 1 | | Berlin | 1 | | Charles | 1 | | Bridge | 1 | | Manchester | 1 | | Prague | 1 |
| | persons | | | places | | 0 | "Soho" | | 1 | "Vaughn" | | 2 | "Moscow" | | 3 | "Berlin" | | 4 | "Charles" | | 5 | "Bridge" | | 6 | "Manchester" | | 7 | "Prague" |
| | globalScore | 0.336 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.721 | | wordCount | 1387 | | matches | | 0 | "not in time but in orbit" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 159 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 70 | | mean | 19.81 | | std | 17.37 | | cv | 0.877 | | sampleLengths | | 0 | 69 | | 1 | 6 | | 2 | 17 | | 3 | 19 | | 4 | 27 | | 5 | 54 | | 6 | 8 | | 7 | 12 | | 8 | 7 | | 9 | 37 | | 10 | 15 | | 11 | 54 | | 12 | 8 | | 13 | 2 | | 14 | 46 | | 15 | 10 | | 16 | 56 | | 17 | 7 | | 18 | 22 | | 19 | 19 | | 20 | 5 | | 21 | 3 | | 22 | 35 | | 23 | 5 | | 24 | 44 | | 25 | 4 | | 26 | 20 | | 27 | 14 | | 28 | 15 | | 29 | 10 | | 30 | 26 | | 31 | 4 | | 32 | 34 | | 33 | 8 | | 34 | 46 | | 35 | 36 | | 36 | 20 | | 37 | 7 | | 38 | 16 | | 39 | 5 | | 40 | 3 | | 41 | 23 | | 42 | 1 | | 43 | 1 | | 44 | 20 | | 45 | 37 | | 46 | 4 | | 47 | 41 | | 48 | 3 | | 49 | 25 |
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| 99.21% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 116 | | matches | | 0 | "was dressed" | | 1 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 157 | | matches | | |
| 88.95% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 159 | | ratio | 0.019 | | matches | | 0 | "Familiar, yet altogether wrong—like hearing a favourite song played on a broken instrument." | | 1 | "He stopped at one—a grainy shot of two men outside Charles Bridge." | | 2 | "Silas felt it then—the distance of years measured not in time but in orbit." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 994 | | adjectiveStacks | 1 | | stackExamples | | 0 | "untouched leather-bound books." |
| | adverbCount | 35 | | adverbRatio | 0.035211267605633804 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.012072434607645875 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 159 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 159 | | mean | 8.72 | | std | 6.5 | | cv | 0.745 | | sampleLengths | | 0 | 18 | | 1 | 18 | | 2 | 21 | | 3 | 8 | | 4 | 2 | | 5 | 2 | | 6 | 6 | | 7 | 4 | | 8 | 4 | | 9 | 5 | | 10 | 4 | | 11 | 19 | | 12 | 10 | | 13 | 13 | | 14 | 4 | | 15 | 15 | | 16 | 10 | | 17 | 16 | | 18 | 13 | | 19 | 8 | | 20 | 5 | | 21 | 4 | | 22 | 3 | | 23 | 7 | | 24 | 3 | | 25 | 5 | | 26 | 26 | | 27 | 3 | | 28 | 15 | | 29 | 15 | | 30 | 3 | | 31 | 14 | | 32 | 3 | | 33 | 4 | | 34 | 15 | | 35 | 8 | | 36 | 2 | | 37 | 4 | | 38 | 1 | | 39 | 6 | | 40 | 28 | | 41 | 7 | | 42 | 10 | | 43 | 16 | | 44 | 15 | | 45 | 12 | | 46 | 3 | | 47 | 10 | | 48 | 7 | | 49 | 18 |
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| 63.73% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4088050314465409 | | totalSentences | 159 | | uniqueOpeners | 65 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 108 | | matches | | 0 | "Probably a lost tourist." | | 1 | "Then he was gone, the" | | 2 | "Then he picked up the" | | 3 | "Only memory remained." |
| | ratio | 0.037 | |
| 94.07% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 108 | | matches | | 0 | "He squinted at the morning's" | | 1 | "His knee ached a warning" | | 2 | "He didn't look up." | | 3 | "He lifted his head." | | 4 | "His hair was shorter than" | | 5 | "It wasn't a happy thing." | | 6 | "He pushed off the frame" | | 7 | "He poured two fingers into" | | 8 | "He let it sit there," | | 9 | "He glanced around, taking in" | | 10 | "He stopped at one—a grainy" | | 11 | "He raised it slightly, in" | | 12 | "His movements were precise." | | 13 | "He studied Silas, the appraisal" | | 14 | "He wandered toward the photograph" | | 15 | "His hand drifted toward a" | | 16 | "It was money." | | 17 | "He lifted it, finally, and" | | 18 | "He wiped the already clean" | | 19 | "He gestured around the bar," |
| | ratio | 0.315 | |
| 38.70% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 91 | | totalSentences | 108 | | matches | | 0 | "Silas rotated the register, his" | | 1 | "The bar was quiet, just" | | 2 | "He squinted at the morning's" | | 3 | "His knee ached a warning" | | 4 | "The bell above the door" | | 5 | "He didn't look up." | | 6 | "Delivery boys came yesterday." | | 7 | "Inventory wasn't due until Friday." | | 8 | "The voice bloomed a cold," | | 9 | "He lifted his head." | | 10 | "The man leaning against the" | | 11 | "His hair was shorter than" | | 12 | "Silas closed the register drawer." | | 13 | "The sound was deliberate." | | 14 | "A full stop." | | 15 | "Declan Vaughn smiled." | | 16 | "It wasn't a happy thing." | | 17 | "He pushed off the frame" | | 18 | "The weight of the silence" | | 19 | "Silas moved without waiting for" |
| | ratio | 0.843 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 108 | | matches | (empty) | | ratio | 0 | |
| 81.63% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 3 | | matches | | 0 | "A far cry from the man who'd once taught Silas how to pick a lock using a credit card and sheer, unadulterated nerve." | | 1 | "Silas watched the other man's back, the perfect drape of the wool across shoulders that were broader than he recalled." | | 2 | "The boy from Manchester who'd climbed out of grammar school on nothing but wit." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 59 | | tagDensity | 0.051 | | leniency | 0.102 | | rawRatio | 0 | | effectiveRatio | 0 | |