| 91.18% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 3 | | adverbTags | | 0 | "Marcus said finally [finally]" | | 1 | "Rory said quickly [quickly]" | | 2 | "he asked mildly [mildly]" |
| | dialogueSentences | 51 | | tagDensity | 0.412 | | leniency | 0.824 | | rawRatio | 0.143 | | effectiveRatio | 0.118 | |
| 89.43% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1419 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | |
| 60.00% | 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) | |
| 61.24% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1419 | | totalAiIsms | 11 | | found | | 0 | | word | "practiced ease" | | count | 1 |
| | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | |
| | highlights | | 0 | "practiced ease" | | 1 | "familiar" | | 2 | "comfortable" | | 3 | "silence" | | 4 | "measured" | | 5 | "weight" | | 6 | "pulse" | | 7 | "depths" | | 8 | "gleaming" | | 9 | "navigate" |
| |
| 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 | 81 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 81 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 111 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1406 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 22 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 49 | | wordCount | 1084 | | uniqueNames | 19 | | maxNameDensity | 0.92 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Carter | 1 | | Silas | 8 | | Jameson | 2 | | Istanbul | 1 | | Hong | 1 | | Kong | 1 | | Rory | 10 | | Marcus | 7 | | Chen | 1 | | London | 4 | | Smart | 1 | | Chinese | 1 | | Cardiff | 2 | | Evan | 1 | | Eva | 2 | | Yu-Fei | 1 | | Mandarin | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Carter" | | 3 | "Silas" | | 4 | "Jameson" | | 5 | "Rory" | | 6 | "Marcus" | | 7 | "Chen" | | 8 | "Evan" | | 9 | "Eva" | | 10 | "Yu-Fei" |
| | places | | 0 | "Istanbul" | | 1 | "Hong" | | 2 | "Kong" | | 3 | "London" | | 4 | "Chinese" | | 5 | "Cardiff" |
| | globalScore | 1 | | windowScore | 0.833 | |
| 47.26% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 73 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like he'd stepped out of a boardro" | | 1 | "felt like judgment" | | 2 | "felt like coming home" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1406 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 111 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 26.04 | | std | 19.49 | | cv | 0.749 | | sampleLengths | | 0 | 62 | | 1 | 36 | | 2 | 32 | | 3 | 5 | | 4 | 53 | | 5 | 10 | | 6 | 39 | | 7 | 32 | | 8 | 3 | | 9 | 72 | | 10 | 2 | | 11 | 50 | | 12 | 13 | | 13 | 35 | | 14 | 32 | | 15 | 8 | | 16 | 3 | | 17 | 36 | | 18 | 53 | | 19 | 21 | | 20 | 10 | | 21 | 27 | | 22 | 14 | | 23 | 47 | | 24 | 16 | | 25 | 6 | | 26 | 2 | | 27 | 67 | | 28 | 23 | | 29 | 7 | | 30 | 38 | | 31 | 9 | | 32 | 69 | | 33 | 4 | | 34 | 35 | | 35 | 12 | | 36 | 15 | | 37 | 69 | | 38 | 24 | | 39 | 32 | | 40 | 8 | | 41 | 3 | | 42 | 20 | | 43 | 14 | | 44 | 10 | | 45 | 21 | | 46 | 29 | | 47 | 9 | | 48 | 3 | | 49 | 27 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 81 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 194 | | matches | (empty) | |
| 39.90% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 111 | | ratio | 0.036 | | matches | | 0 | "Prague, Istanbul, Hong Kong—cities that held Silas's secrets, though he never spoke of them directly." | | 1 | "He looked like he'd stepped out of a boardroom rather than her memories—expensive coat, leather shoes that probably cost more than her monthly rent, the kind of watch that whispered rather than shouted its price." | | 2 | "She'd imagined this moment countless times—usually while delivering takeaway through London's maze of streets, her mind wandering to what she'd say if she ever saw him again." | | 3 | "They danced around the deeper currents—her father's disappointment, his mother's death two years ago—but even the careful conversation felt like coming home." |
| |
| 89.37% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1093 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 57 | | adverbRatio | 0.05215004574565416 | | lyAdverbCount | 19 | | lyAdverbRatio | 0.01738334858188472 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 111 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 111 | | mean | 12.67 | | std | 7.68 | | cv | 0.606 | | sampleLengths | | 0 | 28 | | 1 | 30 | | 2 | 4 | | 3 | 11 | | 4 | 20 | | 5 | 5 | | 6 | 17 | | 7 | 10 | | 8 | 5 | | 9 | 5 | | 10 | 18 | | 11 | 23 | | 12 | 12 | | 13 | 10 | | 14 | 18 | | 15 | 15 | | 16 | 6 | | 17 | 20 | | 18 | 12 | | 19 | 3 | | 20 | 15 | | 21 | 22 | | 22 | 35 | | 23 | 2 | | 24 | 13 | | 25 | 27 | | 26 | 10 | | 27 | 8 | | 28 | 5 | | 29 | 21 | | 30 | 2 | | 31 | 12 | | 32 | 2 | | 33 | 17 | | 34 | 13 | | 35 | 8 | | 36 | 3 | | 37 | 18 | | 38 | 18 | | 39 | 14 | | 40 | 30 | | 41 | 9 | | 42 | 8 | | 43 | 13 | | 44 | 10 | | 45 | 13 | | 46 | 7 | | 47 | 7 | | 48 | 8 | | 49 | 6 |
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| 82.28% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5045045045045045 | | totalSentences | 111 | | uniqueOpeners | 56 | |
| 87.72% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 76 | | matches | | 0 | "Instead, there was only relief" | | 1 | "Especially between old friends." |
| | ratio | 0.026 | |
| 83.16% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 76 | | matches | | 0 | "She needed the distraction." | | 1 | "His silver signet ring caught" | | 2 | "She moved behind the bar" | | 3 | "They drank in comfortable silence," | | 4 | "He looked like he'd stepped" | | 5 | "She'd imagined this moment countless" | | 6 | "He approached the bar slowly," | | 7 | "he said, answering her unasked" | | 8 | "He accepted the glass, their" | | 9 | "She pulled back too quickly," | | 10 | "They both knew it was" | | 11 | "He'd been there the night" | | 12 | "She'd rebuilt herself piece by" | | 13 | "she said, the words coming" | | 14 | "She'd expected pity or disappointment," | | 15 | "He turned the glass in" | | 16 | "He shrugged, a ghost of" | | 17 | "He smiled, and for a" | | 18 | "His marriage to a colleague" | | 19 | "Her discovery that she actually" |
| | ratio | 0.342 | |
| 45.53% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 76 | | matches | | 0 | "The rain drumming against The" | | 1 | "Aurora Carter fell into neither" | | 2 | "She needed the distraction." | | 3 | "Silas said without looking up" | | 4 | "His silver signet ring caught" | | 5 | "Rory slid onto a barstool," | | 6 | "The habit annoyed her, but" | | 7 | "She moved behind the bar" | | 8 | "The familiar ritual of pouring" | | 9 | "Silas said, setting the clean" | | 10 | "They drank in comfortable silence," | | 11 | "Prague, Istanbul, Hong Kong—cities that" | | 12 | "Rory had learned not to" | | 13 | "The bell above the door" | | 14 | "Silas barely glanced up, but" | | 15 | "Marcus Chen stood in the" | | 16 | "He looked like he'd stepped" | | 17 | "The way he said her" | | 18 | "She'd imagined this moment countless" | | 19 | "The name felt foreign on" |
| | ratio | 0.829 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 76 | | matches | | 0 | "Now, faced with the reality," | | 1 | "Even now, their worlds couldn't" |
| | ratio | 0.026 | |
| 45.45% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 6 | | matches | | 0 | "Prague, Istanbul, Hong Kong—cities that held Silas's secrets, though he never spoke of them directly." | | 1 | "He looked like he'd stepped out of a boardroom rather than her memories—expensive coat, leather shoes that probably cost more than her monthly rent, the kind of…" | | 2 | "She'd imagined this moment countless times—usually while delivering takeaway through London's maze of streets, her mind wandering to what she'd say if she ever …" | | 3 | "Silas had vanished into the back room with the practiced discretion of someone who'd spent decades reading situations." | | 4 | "The boy who'd shared her lecture halls at Cardiff had been all nervous energy and grand plans, sketching business ideas on napkins and staying up until dawn deb…" | | 5 | "She'd expected pity or disappointment, the kind of well-meaning concern that felt like judgment." |
| |
| 5.95% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 5 | | matches | | 0 | "Rory slid, her fingers automatically finding the crescent scar on her wrist" | | 1 | "He approached, as if she might bolt" | | 2 | "He accepted, their fingers brushing" | | 3 | "she said, the words coming out like a challenge" | | 4 | "He shrugged, a ghost of his old self in the gesture" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 1 | | fancyTags | | 0 | "she breathed (breathe)" |
| | dialogueSentences | 51 | | tagDensity | 0.196 | | leniency | 0.392 | | rawRatio | 0.1 | | effectiveRatio | 0.039 | |