| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 1 | | adverbTags | | 0 | "He stopped just [just]" |
| | dialogueSentences | 46 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.043 | | effectiveRatio | 0.043 | |
| 69.98% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1166 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "slowly" | | 1 | "lightly" | | 2 | "languidly" | | 3 | "carefully" | | 4 | "really" | | 5 | "suddenly" |
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| 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) | |
| 44.25% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1166 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "familiar" | | 2 | "tinged" | | 3 | "flicker" | | 4 | "weight" | | 5 | "silence" | | 6 | "constructed" | | 7 | "intensity" | | 8 | "warmth" | | 9 | "whisper" | | 10 | "unreadable" |
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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 | 1 | | narrationSentences | 71 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 71 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 92 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1166 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 94.85% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 816 | | uniqueNames | 11 | | maxNameDensity | 1.1 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Celtic | 1 | | General | 1 | | Tso | 1 | | Golden | 1 | | Empress | 1 | | Lucien | 6 | | Moreau | 1 | | Persian | 1 | | French | 1 | | Rory | 9 | | Ptolemy | 2 |
| | persons | | 0 | "Tso" | | 1 | "Lucien" | | 2 | "Moreau" | | 3 | "Rory" | | 4 | "Ptolemy" |
| | places | (empty) | | globalScore | 0.949 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like a shard of ice lodged in her" |
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| 28.47% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.715 | | wordCount | 1166 | | matches | | 0 | "not touching her, but stopping just short of her forearm" | | 1 | "not just the impeccably tailored suit and the slicked-back hair, but the weariness in his eyes, the shadows of battles fought" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 92 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 27.76 | | std | 15.78 | | cv | 0.568 | | sampleLengths | | 0 | 51 | | 1 | 28 | | 2 | 48 | | 3 | 10 | | 4 | 68 | | 5 | 28 | | 6 | 35 | | 7 | 53 | | 8 | 35 | | 9 | 23 | | 10 | 14 | | 11 | 28 | | 12 | 20 | | 13 | 21 | | 14 | 22 | | 15 | 3 | | 16 | 33 | | 17 | 17 | | 18 | 2 | | 19 | 39 | | 20 | 31 | | 21 | 37 | | 22 | 11 | | 23 | 20 | | 24 | 13 | | 25 | 25 | | 26 | 18 | | 27 | 18 | | 28 | 57 | | 29 | 12 | | 30 | 30 | | 31 | 20 | | 32 | 7 | | 33 | 41 | | 34 | 29 | | 35 | 9 | | 36 | 39 | | 37 | 27 | | 38 | 20 | | 39 | 54 | | 40 | 13 | | 41 | 57 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 71 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 135 | | matches | (empty) | |
| 18.63% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 92 | | ratio | 0.043 | | matches | | 0 | "Rory finally turned, a flicker of something – irritation, perhaps, or annoyance – in her bright blue eyes." | | 1 | "The memory of the fight, the accusations, the raw, wounded anger – it felt like a shard of ice lodged in her chest." | | 2 | "His gaze lingered on her, unblinking, and Rory felt a prickle of something she hadn’t felt in years – a potent mix of vulnerability and defiance." | | 3 | "He moved towards her, closing the distance, until he stood close enough that she could smell the subtle scent of sandalwood and something else – something ancient and faintly unsettling." |
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| 75.60% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 814 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 46 | | adverbRatio | 0.056511056511056514 | | lyAdverbCount | 26 | | lyAdverbRatio | 0.03194103194103194 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 92 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 92 | | mean | 12.67 | | std | 7.73 | | cv | 0.61 | | sampleLengths | | 0 | 14 | | 1 | 8 | | 2 | 29 | | 3 | 10 | | 4 | 11 | | 5 | 7 | | 6 | 5 | | 7 | 14 | | 8 | 17 | | 9 | 12 | | 10 | 10 | | 11 | 13 | | 12 | 5 | | 13 | 28 | | 14 | 22 | | 15 | 21 | | 16 | 7 | | 17 | 17 | | 18 | 4 | | 19 | 14 | | 20 | 12 | | 21 | 10 | | 22 | 14 | | 23 | 17 | | 24 | 18 | | 25 | 17 | | 26 | 20 | | 27 | 3 | | 28 | 3 | | 29 | 11 | | 30 | 10 | | 31 | 6 | | 32 | 12 | | 33 | 20 | | 34 | 10 | | 35 | 11 | | 36 | 15 | | 37 | 7 | | 38 | 3 | | 39 | 4 | | 40 | 26 | | 41 | 3 | | 42 | 13 | | 43 | 4 | | 44 | 2 | | 45 | 25 | | 46 | 14 | | 47 | 16 | | 48 | 15 | | 49 | 5 |
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| 51.09% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.358695652173913 | | totalSentences | 92 | | uniqueOpeners | 33 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 69 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 42 | | totalSentences | 69 | | matches | | 0 | "She’d been meticulously dissecting a" | | 1 | "She wiped her hands on" | | 2 | "He didn’t bother with pleasantries." | | 3 | "He simply stood there, a" | | 4 | "He held his ivory-handled cane," | | 5 | "she stated, the words clipped," | | 6 | "He moved into the flat," | | 7 | "It was a mess, predictably." | | 8 | "She didn’t look up." | | 9 | "he said, stepping closer to" | | 10 | "He tilted his head almost" | | 11 | "She resumed stirring, the metal" | | 12 | "He reached out, not touching" | | 13 | "She didn’t flinch." | | 14 | "He straightened, letting his hand" | | 15 | "He watched her expertly toss" | | 16 | "He paused, considering her." | | 17 | "His eyes, one amber, one" | | 18 | "She slammed the wok onto" | | 19 | "She grabbed a pair of" |
| | ratio | 0.609 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 69 | | matches | | 0 | "The chime above the door," | | 1 | "Rory hadn’t heard it, hadn’t" | | 2 | "She’d been meticulously dissecting a" | | 3 | "She wiped her hands on" | | 4 | "The hallway was narrow, smelling" | | 5 | "The door stood open, revealing" | | 6 | "He didn’t bother with pleasantries." | | 7 | "He simply stood there, a" | | 8 | "The charcoal suit, as always," | | 9 | "He held his ivory-handled cane," | | 10 | "she stated, the words clipped," | | 11 | "He moved into the flat," | | 12 | "It was a mess, predictably." | | 13 | "Books spilled from shelves, stacks" | | 14 | "Ptolemy, the tabby cat, materialized" | | 15 | "Lucien’s voice was a smooth" | | 16 | "Rory replied, turning back to" | | 17 | "She didn’t look up." | | 18 | "he said, stepping closer to" | | 19 | "The air thickened with the" |
| | ratio | 1 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 69 | | matches | (empty) | | ratio | 0 | |
| 89.95% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 2 | | matches | | 0 | "He reached out, this time his fingers brushing against her wrist, sending a jolt of electricity through her." | | 1 | "Ptolemy, sensing the shift in the atmosphere, leaped from the pile of scrolls and rubbed against Lucien’s legs, purring loudly." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 11 | | matches | | 0 | "she stated, the words clipped, devoid of inflection" | | 1 | "He reached out, not touching her, but stopping just short of her forearm" | | 2 | "Rory said, her voice tightening" | | 3 | "Lucien countered, a ghost of a smile playing on his lips" | | 4 | "he corrected, his voice quiet" | | 5 | "she asked, finally" | | 6 | "he said, his voice low" | | 7 | "she said, her voice strained" | | 8 | "he murmured, his voice barely audible," | | 9 | "she asked, her voice barely a whisper" | | 10 | "he said, a wry smile returning to his lips," |
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| 84.78% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 3 | | fancyTags | | 0 | "she stated (state)" | | 1 | "he corrected (correct)" | | 2 | "he murmured (murmur)" |
| | dialogueSentences | 46 | | tagDensity | 0.283 | | leniency | 0.565 | | rawRatio | 0.231 | | effectiveRatio | 0.13 | |