| 88.89% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 2 | | adverbTags | | 0 | "he said finally [finally]" | | 1 | "she finally said [finally]" |
| | dialogueSentences | 36 | | tagDensity | 0.472 | | leniency | 0.944 | | rawRatio | 0.118 | | effectiveRatio | 0.111 | |
| 81.25% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1600 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "perfectly" | | 1 | "very" | | 2 | "carefully" | | 3 | "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) | |
| 18.75% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1600 | | totalAiIsms | 26 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "mechanical" | | 1 | "vibrated" | | 2 | "silk" | | 3 | "silence" | | 4 | "pulse" | | 5 | "lilt" | | 6 | "weight" | | 7 | "profound" | | 8 | "echoed" | | 9 | "etched" | | 10 | "tracing" | | 11 | "navigated" | | 12 | "warmth" | | 13 | "unspoken" | | 14 | "intensity" | | 15 | "constructed" | | 16 | "charged" | | 17 | "traced" | | 18 | "tension" |
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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 | 100 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 100 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 119 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1598 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 22 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 1192 | | uniqueNames | 15 | | maxNameDensity | 0.42 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 5 | | Cardiff | 2 | | East | 1 | | London | 2 | | Marseille | 1 | | Yu-Fei | 1 | | Cheung | 1 | | Golden | 1 | | Empress | 1 | | Lucien | 2 | | Avaros | 1 | | Evan | 2 | | Pre-Law | 1 | | Brick | 1 | | Lane | 1 |
| | persons | | 0 | "Rory" | | 1 | "Yu-Fei" | | 2 | "Cheung" | | 3 | "Lucien" | | 4 | "Evan" |
| | places | | 0 | "Cardiff" | | 1 | "East" | | 2 | "London" | | 3 | "Marseille" | | 4 | "Avaros" | | 5 | "Brick" | | 6 | "Lane" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 74 | | glossingSentenceCount | 1 | | matches | | 0 | "tasted like static and old mistakes" |
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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 | 1598 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 119 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 45.66 | | std | 32.51 | | cv | 0.712 | | sampleLengths | | 0 | 91 | | 1 | 7 | | 2 | 76 | | 3 | 1 | | 4 | 8 | | 5 | 36 | | 6 | 58 | | 7 | 90 | | 8 | 65 | | 9 | 6 | | 10 | 10 | | 11 | 10 | | 12 | 64 | | 13 | 59 | | 14 | 80 | | 15 | 27 | | 16 | 70 | | 17 | 51 | | 18 | 6 | | 19 | 46 | | 20 | 98 | | 21 | 40 | | 22 | 27 | | 23 | 102 | | 24 | 13 | | 25 | 118 | | 26 | 35 | | 27 | 28 | | 28 | 24 | | 29 | 45 | | 30 | 33 | | 31 | 23 | | 32 | 18 | | 33 | 32 | | 34 | 101 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 100 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 204 | | matches | | |
| 70.83% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 119 | | ratio | 0.025 | | matches | | 0 | "The scent of him followed—bergamot, old paper, and something faintly metallic, like ozone before a storm." | | 1 | "The supernatural undertow he navigated, the demons, the fixer’s code, the blood debt—it had been too much." | | 2 | "The amber eye caught the light like honey; the black one swallowed it whole." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 350 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 11 | | adverbRatio | 0.03142857142857143 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.005714285714285714 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 119 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 119 | | mean | 13.43 | | std | 8.55 | | cv | 0.637 | | sampleLengths | | 0 | 18 | | 1 | 14 | | 2 | 27 | | 3 | 4 | | 4 | 4 | | 5 | 24 | | 6 | 7 | | 7 | 15 | | 8 | 9 | | 9 | 13 | | 10 | 13 | | 11 | 13 | | 12 | 9 | | 13 | 4 | | 14 | 1 | | 15 | 8 | | 16 | 11 | | 17 | 25 | | 18 | 30 | | 19 | 8 | | 20 | 16 | | 21 | 4 | | 22 | 9 | | 23 | 31 | | 24 | 28 | | 25 | 7 | | 26 | 15 | | 27 | 13 | | 28 | 13 | | 29 | 15 | | 30 | 14 | | 31 | 7 | | 32 | 3 | | 33 | 6 | | 34 | 7 | | 35 | 3 | | 36 | 8 | | 37 | 2 | | 38 | 12 | | 39 | 35 | | 40 | 17 | | 41 | 21 | | 42 | 38 | | 43 | 10 | | 44 | 9 | | 45 | 17 | | 46 | 17 | | 47 | 6 | | 48 | 8 | | 49 | 13 |
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| 36.97% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.3025210084033613 | | totalSentences | 119 | | uniqueOpeners | 36 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 94 | | matches | | 0 | "Instead, he leaned his cane" | | 1 | "Instead, she held his gaze." | | 2 | "All that remained was the" |
| | ratio | 0.032 | |
| 11.49% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 49 | | totalSentences | 94 | | matches | | 0 | "She froze, a stack of" | | 1 | "She hadn’t ordered anything." | | 2 | "She hadn’t invited anyone." | | 3 | "He stood there, cutting through" | | 4 | "she said, voice steadier than" | | 5 | "His voice was low, smooth" | | 6 | "He stepped past her without" | | 7 | "He didn’t take the offered" | | 8 | "She could see the faint" | | 9 | "She’d never asked how he" | | 10 | "He’d never offered." | | 11 | "he said finally" | | 12 | "She set the books down" | | 13 | "Her left wrist burned where" | | 14 | "He pushed off the wall," | | 15 | "They’d been partners once, in" | | 16 | "She’d wanted sunlight and quiet" | | 17 | "He’d been a creature of" | | 18 | "They’d walked away from each" | | 19 | "she said, voice tight" |
| | ratio | 0.521 | |
| 23.83% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 82 | | totalSentences | 94 | | matches | | 0 | "The brass knob turned with" | | 1 | "She froze, a stack of" | | 2 | "The flat above" | | 3 | "She hadn’t ordered anything." | | 4 | "She hadn’t invited anyone." | | 5 | "The deadbolts had been thrown" | | 6 | "The door swung inward on" | | 7 | "He stood there, cutting through" | | 8 | "Charcoal wool, perfectly tailored, catching" | | 9 | "The name tasted like static" | | 10 | "she said, voice steadier than" | | 11 | "His voice was low, smooth" | | 12 | "He stepped past her without" | | 13 | "The scent of him followed—bergamot," | | 14 | "The flat groaned under the" | | 15 | "Books spilled from every shelf," | | 16 | "Ptolemy, a marmalade tabby with" | | 17 | "Rory kicked the door shut" | | 18 | "The heavy thud of four" | | 19 | "He didn’t take the offered" |
| | ratio | 0.872 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 94 | | matches | (empty) | | ratio | 0 | |
| 49.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 6 | | matches | | 0 | "The brass knob turned with a heavy, mechanical click that vibrated through the worn handle into Rory’s palm." | | 1 | "A brief, brilliant collision of minds and bodies that had ended when his world bled into hers." | | 2 | "She’d spent five years telling herself she was fine, that she’d outgrown Evan’s cruelty, that she could handle Pre-Law and deliveries and the quiet loneliness o…" | | 3 | "He closed the rest of the distance, his lips meeting hers in a kiss that tasted of regret and relief and five years of silence." | | 4 | "She rose onto her toes, her hands finding the rigid line of his shoulders, feeling the solid warmth of him beneath the tailored wool." | | 5 | "The flat felt smaller, tighter, charged with the kind of electricity that made her skin prickle." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 5 | | matches | | 0 | "she said, voice steadier than her pulse" | | 1 | "she said, voice tight" | | 2 | "she finally said, the word barely audible over the rain" | | 3 | "He traced, his touch reverent" | | 4 | "he murmured, the old nickname slipping out like a vow" |
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| 38.89% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 4 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "he murmured (murmur)" | | 2 | "she whispered (whisper)" | | 3 | "he murmured (murmur)" |
| | dialogueSentences | 36 | | tagDensity | 0.278 | | leniency | 0.556 | | rawRatio | 0.4 | | effectiveRatio | 0.222 | |