| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 1 | | adverbTags | | 0 | "That landed like [like]" |
| | dialogueSentences | 70 | | tagDensity | 0.314 | | leniency | 0.629 | | rawRatio | 0.045 | | effectiveRatio | 0.029 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2569 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 76.64% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2569 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "flicked" | | 1 | "could feel" | | 2 | "pulse" | | 3 | "chaotic" | | 4 | "weight" | | 5 | "resolve" | | 6 | "measured" | | 7 | "gleaming" | | 8 | "footsteps" |
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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 | 221 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 4 | | hedgeCount | 0 | | narrationSentences | 221 | | filterMatches | | 0 | "know" | | 1 | "think know" | | 2 | "hear" |
| | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 269 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2552 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 31 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 61 | | wordCount | 2011 | | uniqueNames | 12 | | maxNameDensity | 1.04 | | worstName | "You" | | maxWindowNameDensity | 2.5 | | worstWindowName | "You" | | discoveredNames | | Ptolemy | 7 | | Lucien | 7 | | Eva | 10 | | You | 21 | | Thames | 1 | | January | 1 | | Brick | 2 | | Lane | 2 | | Assam | 1 | | London | 1 | | Don | 7 | | Did | 1 |
| | persons | | 0 | "Ptolemy" | | 1 | "Lucien" | | 2 | "Eva" | | 3 | "You" |
| | places | | 0 | "Thames" | | 1 | "Brick" | | 2 | "Lane" | | 3 | "Assam" | | 4 | "London" |
| | globalScore | 0.978 | | windowScore | 0.833 | |
| 76.47% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 136 | | glossingSentenceCount | 4 | | matches | | 0 | "looked like a hole cut from night" | | 1 | "as if stepping into something sacred" | | 2 | "looked like an escape" | | 3 | "felt like apology shaped into touch" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 0.784 | | wordCount | 2552 | | matches | | 0 | "not for my hand but for the space in front of it, testing the reach" | | 1 | "not to claim but to keep himself here" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 269 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 138 | | mean | 18.49 | | std | 19.93 | | cv | 1.078 | | sampleLengths | | 0 | 65 | | 1 | 50 | | 2 | 13 | | 3 | 6 | | 4 | 13 | | 5 | 32 | | 6 | 13 | | 7 | 4 | | 8 | 4 | | 9 | 25 | | 10 | 4 | | 11 | 5 | | 12 | 5 | | 13 | 29 | | 14 | 5 | | 15 | 6 | | 16 | 44 | | 17 | 4 | | 18 | 9 | | 19 | 8 | | 20 | 10 | | 21 | 47 | | 22 | 2 | | 23 | 3 | | 24 | 2 | | 25 | 22 | | 26 | 56 | | 27 | 4 | | 28 | 62 | | 29 | 1 | | 30 | 5 | | 31 | 5 | | 32 | 50 | | 33 | 86 | | 34 | 2 | | 35 | 7 | | 36 | 5 | | 37 | 52 | | 38 | 7 | | 39 | 13 | | 40 | 6 | | 41 | 8 | | 42 | 3 | | 43 | 11 | | 44 | 36 | | 45 | 4 | | 46 | 27 | | 47 | 3 | | 48 | 30 | | 49 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 221 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 379 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 269 | | ratio | 0.011 | | matches | | 0 | "If they followed you—" | | 1 | "I caught the scent under the rain and metal—something faint and wrong, a trace that never washed out of his skin." | | 2 | "He watched the move the way a starving man watches a knife being drawn—fear and hope both." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 2023 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.018783984181908058 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.001977261492832427 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 269 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 269 | | mean | 9.49 | | std | 6.96 | | cv | 0.733 | | sampleLengths | | 0 | 26 | | 1 | 14 | | 2 | 25 | | 3 | 13 | | 4 | 21 | | 5 | 7 | | 6 | 9 | | 7 | 13 | | 8 | 6 | | 9 | 5 | | 10 | 8 | | 11 | 14 | | 12 | 12 | | 13 | 6 | | 14 | 9 | | 15 | 4 | | 16 | 4 | | 17 | 4 | | 18 | 7 | | 19 | 2 | | 20 | 4 | | 21 | 12 | | 22 | 4 | | 23 | 5 | | 24 | 5 | | 25 | 29 | | 26 | 5 | | 27 | 6 | | 28 | 17 | | 29 | 4 | | 30 | 10 | | 31 | 13 | | 32 | 4 | | 33 | 9 | | 34 | 4 | | 35 | 4 | | 36 | 6 | | 37 | 4 | | 38 | 9 | | 39 | 13 | | 40 | 11 | | 41 | 14 | | 42 | 2 | | 43 | 3 | | 44 | 2 | | 45 | 22 | | 46 | 3 | | 47 | 26 | | 48 | 13 | | 49 | 4 |
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| 43.31% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.23048327137546468 | | totalSentences | 269 | | uniqueOpeners | 62 | |
| 69.08% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 193 | | matches | | 0 | "Too even for the hitch" | | 1 | "Then I closed the gap" | | 2 | "Somewhere a lover shouted at" | | 3 | "Then neither of us sleeps." |
| | ratio | 0.021 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 125 | | totalSentences | 193 | | matches | | 0 | "I gripped the edge of" | | 1 | "His hair still held its" | | 2 | "You found the right door," | | 3 | "My voice came out even." | | 4 | "He glanced past me into" | | 5 | "You remember his name." | | 6 | "He didn’t step in." | | 7 | "He waited under the yellow" | | 8 | "You shouldn’t be here." | | 9 | "I unclenched my grip and" | | 10 | "He stood within reach." | | 11 | "It would take a tiny" | | 12 | "You always take care." | | 13 | "His black eye cut to" | | 14 | "I breathed out through my" | | 15 | "I stepped back." | | 16 | "He lifted the cat off" | | 17 | "He didn’t argue." | | 18 | "He draped the wet thing" | | 19 | "He unbuttoned his waistcoat." |
| | ratio | 0.648 | |
| 42.90% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 161 | | totalSentences | 193 | | matches | | 0 | "The door swung wide on" | | 1 | "A tabby tail flicked past" | | 2 | "I gripped the edge of" | | 3 | "Lucien filled the gap in" | | 4 | "His hair still held its" | | 5 | "The other looked like a" | | 6 | "Ptolemy made a curious chirp" | | 7 | "You found the right door," | | 8 | "My voice came out even." | | 9 | "He glanced past me into" | | 10 | "The corners of his mouth" | | 11 | "You remember his name." | | 12 | "The cane tip touched the" | | 13 | "He didn’t step in." | | 14 | "He waited under the yellow" | | 15 | "You shouldn’t be here." | | 16 | "I unclenched my grip and" | | 17 | "He stood within reach." | | 18 | "It would take a tiny" | | 19 | "Years fell away and sat" |
| | ratio | 0.834 | |
| 77.72% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 193 | | matches | | 0 | "If they followed you—" | | 1 | "If I let you in" | | 2 | "If danger’s coming, I want" |
| | ratio | 0.016 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 83 | | technicalSentenceCount | 4 | | matches | | 0 | "He lifted the cat off the mat with both hands and set him just inside, then he crossed the line as if stepping into something sacred." | | 1 | "Steam glazed the window that looked across Brick Lane and its neon bleed." | | 2 | "His mouth took mine with hunger checked by something that felt like apology shaped into touch." | | 3 | "He made a noise into my mouth that belonged in darker rooms." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 2 | | fancyTags | | 0 | "he breathed (breathe)" | | 1 | "he agreed (agree)" |
| | dialogueSentences | 70 | | tagDensity | 0.186 | | leniency | 0.371 | | rawRatio | 0.154 | | effectiveRatio | 0.057 | |