| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 2 | | adverbTags | | 0 | "She gestured vaguely [vaguely]" | | 1 | "Eva’s gaze flicked away [away]" |
| | dialogueSentences | 43 | | tagDensity | 0.302 | | leniency | 0.605 | | rawRatio | 0.154 | | effectiveRatio | 0.093 | |
| 90.55% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1058 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 57.47% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1058 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "traced" | | 1 | "familiar" | | 2 | "silence" | | 3 | "flicked" | | 4 | "pulse" | | 5 | "unspoken" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "clenched jaw/fists" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "clenched into fists" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 74 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 74 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 104 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 14 | | totalWords | 1052 | | ratio | 0.013 | | matches | | 0 | "mysterious" | | 1 | "Just for a little while. Just until I figure things out." | | 2 | "responsibility" | | 3 | "left" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 59 | | wordCount | 793 | | uniqueNames | 7 | | maxNameDensity | 3.28 | | worstName | "Rory" | | maxWindowNameDensity | 6.5 | | worstWindowName | "Eva" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Silas | 6 | | Rory | 26 | | Eva | 23 | | Edinburgh | 1 | | Cardiff | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Rory" | | 4 | "Eva" |
| | places | | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1052 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 104 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 21.92 | | std | 18.64 | | cv | 0.851 | | sampleLengths | | 0 | 74 | | 1 | 32 | | 2 | 28 | | 3 | 34 | | 4 | 45 | | 5 | 18 | | 6 | 32 | | 7 | 3 | | 8 | 68 | | 9 | 12 | | 10 | 11 | | 11 | 27 | | 12 | 53 | | 13 | 9 | | 14 | 12 | | 15 | 32 | | 16 | 15 | | 17 | 21 | | 18 | 7 | | 19 | 7 | | 20 | 92 | | 21 | 21 | | 22 | 15 | | 23 | 22 | | 24 | 3 | | 25 | 10 | | 26 | 12 | | 27 | 3 | | 28 | 37 | | 29 | 3 | | 30 | 12 | | 31 | 12 | | 32 | 13 | | 33 | 11 | | 34 | 23 | | 35 | 15 | | 36 | 25 | | 37 | 6 | | 38 | 24 | | 39 | 17 | | 40 | 5 | | 41 | 16 | | 42 | 33 | | 43 | 12 | | 44 | 4 | | 45 | 29 | | 46 | 31 | | 47 | 6 |
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| 95.78% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 74 | | matches | | 0 | "was, polished" | | 1 | "been struck" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 149 | | matches | | 0 | "was drowning" | | 1 | "was waiting" |
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| 60.44% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 104 | | ratio | 0.029 | | matches | | 0 | "The way Silas’s fingers stilled on the rag, the way his jaw tightened—just for a second—told her everything." | | 1 | "Not since—" | | 2 | "Eva slid onto the stool beside Rory, close enough that Rory caught the scent of her perfume—something expensive, something that didn’t smell like the Eva she knew." |
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| 98.86% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 799 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.04130162703379224 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.007509386733416771 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 104 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 104 | | mean | 10.12 | | std | 7.51 | | cv | 0.742 | | sampleLengths | | 0 | 23 | | 1 | 29 | | 2 | 22 | | 3 | 11 | | 4 | 21 | | 5 | 17 | | 6 | 11 | | 7 | 6 | | 8 | 23 | | 9 | 5 | | 10 | 20 | | 11 | 3 | | 12 | 4 | | 13 | 18 | | 14 | 11 | | 15 | 7 | | 16 | 2 | | 17 | 7 | | 18 | 13 | | 19 | 8 | | 20 | 2 | | 21 | 3 | | 22 | 24 | | 23 | 23 | | 24 | 21 | | 25 | 12 | | 26 | 10 | | 27 | 1 | | 28 | 4 | | 29 | 23 | | 30 | 10 | | 31 | 27 | | 32 | 16 | | 33 | 8 | | 34 | 1 | | 35 | 9 | | 36 | 3 | | 37 | 6 | | 38 | 11 | | 39 | 15 | | 40 | 10 | | 41 | 5 | | 42 | 11 | | 43 | 10 | | 44 | 7 | | 45 | 3 | | 46 | 4 | | 47 | 9 | | 48 | 28 | | 49 | 5 |
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| 50.32% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.33653846153846156 | | totalSentences | 104 | | uniqueOpeners | 35 | |
| 96.62% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 69 | | matches | | 0 | "*Just for a little while." | | 1 | "Just until I figure things" |
| | ratio | 0.029 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 69 | | matches | | 0 | "He didn’t look up from" | | 1 | "She took a sip, the" | | 2 | "His hazel eyes held the" | | 3 | "She didn’t need to." | | 4 | "She wore a leather jacket" | | 5 | "He limped toward the back," | | 6 | "She gestured vaguely at Rory’s" | | 7 | "She said it like she" | | 8 | "She looked away, her throat" | | 9 | "She wanted to reach out," | | 10 | "He didn’t ask." | | 11 | "He just slid a fresh" |
| | ratio | 0.174 | |
| 3.48% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 69 | | matches | | 0 | "The Raven’s Nest smelled of" | | 1 | "Rory wiped her hands on" | | 2 | "The glass left a wet" | | 3 | "Silas said, his voice rough" | | 4 | "He didn’t look up from" | | 5 | "She took a sip, the" | | 6 | "Silas smirked, finally lifting his" | | 7 | "His hazel eyes held the" | | 8 | "The door creaked open behind" | | 9 | "Rory didn’t turn." | | 10 | "She didn’t need to." | | 11 | "The way Silas’s fingers stilled" | | 12 | "a voice drawled from the" | | 13 | "The glass stopped halfway to" | | 14 | "The name curled around her" | | 15 | "Rory turned slowly." | | 16 | "Eva stood there, her dark" | | 17 | "She wore a leather jacket" | | 18 | "The green neon sign above" | | 19 | "Rory said, and her voice" |
| | ratio | 0.913 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 69 | | matches | (empty) | | ratio | 0 | |
| 37.04% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 4 | | matches | | 0 | "Eva stood there, her dark curls shorter now, cropped close to her scalp in a way that made her sharp cheekbones look even sharper." | | 1 | "Eva slid onto the stool beside Rory, close enough that Rory caught the scent of her perfume—something expensive, something that didn’t smell like the Eva she kn…" | | 2 | "The Eva who used to steal her mother’s vanilla body spray and douse herself in it." | | 3 | "The last time she’d seen Eva, she’d been sobbing on the phone from a hostel in Edinburgh, her voice breaking as she begged Rory to come with her." |
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| 9.62% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 3 | | matches | | 0 | "Silas said, his voice rough as gravel under boots" | | 1 | "She took, the bitterness of the ale sharp on her tongue" | | 2 | "Rory asked, because the alternative was silence, and silence was worse" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | 0 | "a voice drawled (drawl)" |
| | dialogueSentences | 43 | | tagDensity | 0.14 | | leniency | 0.279 | | rawRatio | 0.167 | | effectiveRatio | 0.047 | |