| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 2 | | adverbTags | | 0 | "charm mattered more [more]" | | 1 | "Carys’s mouth quirked like [like]" |
| | dialogueSentences | 160 | | tagDensity | 0.1 | | leniency | 0.2 | | rawRatio | 0.125 | | effectiveRatio | 0.025 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2771 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 83.76% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2771 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "flicked" | | 1 | "familiar" | | 2 | "eyebrow" | | 3 | "traced" | | 4 | "charm" | | 5 | "silence" |
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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 | 122 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 122 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 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 | 49 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2763 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 42 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 67 | | wordCount | 1434 | | uniqueNames | 7 | | maxNameDensity | 2.02 | | worstName | "Rory" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Cardiff | 1 | | Carys | 27 | | Rory | 29 | | Silas | 7 | | Negroni | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Carys" | | 3 | "Rory" | | 4 | "Silas" |
| | places | | | globalScore | 0.489 | | windowScore | 0.167 | |
| 95.65% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 92 | | glossingSentenceCount | 2 | | matches | | 0 | "not quite a warning, not quite a greeting sent through the air between them" | | 1 | "not quite a greeting sent through the air between them" | | 2 | "felt like armour" |
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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 | 2763 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 266 | | matches | | 0 | "wore that Rory" | | 1 | "feeling that everything" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 178 | | mean | 15.52 | | std | 19.02 | | cv | 1.226 | | sampleLengths | | 0 | 62 | | 1 | 93 | | 2 | 53 | | 3 | 37 | | 4 | 8 | | 5 | 96 | | 6 | 17 | | 7 | 6 | | 8 | 33 | | 9 | 46 | | 10 | 5 | | 11 | 4 | | 12 | 7 | | 13 | 4 | | 14 | 10 | | 15 | 9 | | 16 | 30 | | 17 | 29 | | 18 | 4 | | 19 | 9 | | 20 | 2 | | 21 | 14 | | 22 | 4 | | 23 | 13 | | 24 | 2 | | 25 | 9 | | 26 | 3 | | 27 | 23 | | 28 | 6 | | 29 | 7 | | 30 | 4 | | 31 | 3 | | 32 | 4 | | 33 | 3 | | 34 | 60 | | 35 | 4 | | 36 | 3 | | 37 | 2 | | 38 | 2 | | 39 | 5 | | 40 | 57 | | 41 | 3 | | 42 | 6 | | 43 | 3 | | 44 | 7 | | 45 | 3 | | 46 | 5 | | 47 | 5 | | 48 | 46 | | 49 | 65 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 122 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 248 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 266 | | ratio | 0.004 | | matches | | 0 | "\"—as if charm mattered more than your voice.\"" |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1498 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 55 | | adverbRatio | 0.036715620827770364 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0020026702269692926 | |
| 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 | 10.39 | | std | 8.76 | | cv | 0.844 | | sampleLengths | | 0 | 21 | | 1 | 21 | | 2 | 7 | | 3 | 4 | | 4 | 9 | | 5 | 21 | | 6 | 9 | | 7 | 18 | | 8 | 23 | | 9 | 11 | | 10 | 11 | | 11 | 28 | | 12 | 9 | | 13 | 16 | | 14 | 7 | | 15 | 7 | | 16 | 23 | | 17 | 8 | | 18 | 11 | | 19 | 5 | | 20 | 19 | | 21 | 12 | | 22 | 7 | | 23 | 11 | | 24 | 2 | | 25 | 11 | | 26 | 18 | | 27 | 12 | | 28 | 5 | | 29 | 6 | | 30 | 7 | | 31 | 26 | | 32 | 5 | | 33 | 3 | | 34 | 18 | | 35 | 5 | | 36 | 3 | | 37 | 12 | | 38 | 5 | | 39 | 4 | | 40 | 7 | | 41 | 4 | | 42 | 10 | | 43 | 9 | | 44 | 20 | | 45 | 10 | | 46 | 21 | | 47 | 8 | | 48 | 4 | | 49 | 9 |
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| 35.71% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 38 | | diversityRatio | 0.21804511278195488 | | totalSentences | 266 | | uniqueOpeners | 58 | |
| 30.86% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 108 | | matches | | 0 | "Then she turned toward the" |
| | ratio | 0.009 | |
| 86.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 108 | | matches | | 0 | "It caught the edges of" | | 1 | "Her hair clung in dark" | | 2 | "She rubbed the crescent scar" | | 3 | "His signet ring flashed each" | | 4 | "He gave her that small" | | 5 | "He placed a mug of" | | 6 | "His hazel eyes flicked past" | | 7 | "She wrapped her fingers around" | | 8 | "Her name slid across the" | | 9 | "She turned on the stool." | | 10 | "Her face had sharpened at" | | 11 | "He drifted away and let" | | 12 | "She crossed the few steps" | | 13 | "She didn’t reach for it." | | 14 | "It anchored her tongue to" | | 15 | "She caught Carys watching her" | | 16 | "She took another sip of" | | 17 | "It reached for the scar," | | 18 | "It touched all of that" | | 19 | "It slicked Carys’s hand." |
| | ratio | 0.333 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 105 | | totalSentences | 108 | | matches | | 0 | "The green neon of the" | | 1 | "It caught the edges of" | | 2 | "The Raven’s Nest hummed low" | | 3 | "Ice ticked against glass." | | 4 | "A taxi horn called from" | | 5 | "Rory shrugged off a damp" | | 6 | "Her hair clung in dark" | | 7 | "She rubbed the crescent scar" | | 8 | "Silas moved along the bar" | | 9 | "His signet ring flashed each" | | 10 | "He gave her that small" | | 11 | "He placed a mug of" | | 12 | "His hazel eyes flicked past" | | 13 | "A nod, not quite a" | | 14 | "She wrapped her fingers around" | | 15 | "The steam blurred everything for" | | 16 | "Her name slid across the" | | 17 | "She turned on the stool." | | 18 | "The woman by the end" | | 19 | "Carys had shaved her hair" |
| | ratio | 0.972 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 108 | | matches | (empty) | | ratio | 0 | |
| 85.25% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 62 | | technicalSentenceCount | 5 | | matches | | 0 | "It caught the edges of old maps on the walls and the frames of black-and-white photographs that had yellowed like teeth." | | 1 | "Carys tilted her head, clocked Silas’s retreat, the way he moved like someone who had learned to count exits without counting." | | 2 | "Across the room, a man squinted at an old photograph of a street market and told his date a story about his grandfather that contained too many heroes and not e…" | | 3 | "Carys tapped the bar twice with her knuckles, an old habit, a private superstition that acknowledged and thanked and made sure the room didn't swallow her whole…" | | 4 | "Rory caught it and tucked it somewhere beside her heart where she kept the things that kept her moving." |
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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 | 13 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 160 | | tagDensity | 0.081 | | leniency | 0.163 | | rawRatio | 0 | | effectiveRatio | 0 | |