| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 2 | | adverbTags | | 0 | "good eye—amber—narrowed slightly [slightly]" | | 1 | "he said quietly [quietly]" |
| | dialogueSentences | 87 | | tagDensity | 0.23 | | leniency | 0.46 | | rawRatio | 0.1 | | effectiveRatio | 0.046 | |
| 85.35% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1365 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "suddenly" | | 1 | "slightly" | | 2 | "really" | | 3 | "slowly" |
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| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 63.37% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1365 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "tension" | | 1 | "pulse" | | 2 | "scanning" | | 3 | "glistening" | | 4 | "silence" | | 5 | "weight" | | 6 | "trembled" | | 7 | "flicked" |
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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 | 92 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 92 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 160 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 16 | | markdownWords | 17 | | totalWords | 1351 | | ratio | 0.013 | | matches | | 0 | "hunting" | | 1 | "you" | | 2 | "Malphora." | | 3 | "no one" | | 4 | "my" | | 5 | "tell" | | 6 | "they" | | 7 | "us" | | 8 | "you" | | 9 | "dead" | | 10 | "obeyed" | | 11 | "you" | | 12 | "invite" | | 13 | "I" | | 14 | "claim" | | 15 | "you" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 674 | | uniqueNames | 8 | | maxNameDensity | 1.63 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Like | 1 | | Rory | 11 | | Lucien | 8 | | Evans | 1 | | Silence | 1 | | East | 1 | | London | 1 | | Ptolemy | 4 |
| | persons | | 0 | "Rory" | | 1 | "Lucien" | | 2 | "Evans" | | 3 | "Silence" | | 4 | "Ptolemy" |
| | places | | | globalScore | 0.684 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | 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 | 1351 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 160 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 109 | | mean | 12.39 | | std | 11.6 | | cv | 0.936 | | sampleLengths | | 0 | 30 | | 1 | 27 | | 2 | 51 | | 3 | 5 | | 4 | 8 | | 5 | 17 | | 6 | 9 | | 7 | 5 | | 8 | 48 | | 9 | 14 | | 10 | 2 | | 11 | 4 | | 12 | 5 | | 13 | 28 | | 14 | 15 | | 15 | 6 | | 16 | 4 | | 17 | 3 | | 18 | 54 | | 19 | 11 | | 20 | 26 | | 21 | 11 | | 22 | 36 | | 23 | 16 | | 24 | 8 | | 25 | 9 | | 26 | 9 | | 27 | 9 | | 28 | 5 | | 29 | 15 | | 30 | 12 | | 31 | 26 | | 32 | 14 | | 33 | 31 | | 34 | 6 | | 35 | 2 | | 36 | 1 | | 37 | 12 | | 38 | 7 | | 39 | 10 | | 40 | 2 | | 41 | 16 | | 42 | 32 | | 43 | 6 | | 44 | 26 | | 45 | 18 | | 46 | 9 | | 47 | 17 | | 48 | 4 | | 49 | 3 |
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| 97.64% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 92 | | matches | | 0 | "been dragged" | | 1 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 136 | | matches | | |
| 71.43% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 160 | | ratio | 0.025 | | matches | | 0 | "Rain glistened in his slicked-back platinum hair, and one of his eyes caught the dim hallway light—amber, the other, flat as ink." | | 1 | "“Two blocks from the Golden Empress. Man in a grey coat, kept pace behind your bike. Not human.” His good eye—amber—narrowed slightly." | | 2 | "The flat was chaos—stacks of grimoires balanced on teetering stools, runes sketched on napkins, a half-dismantled sigil glowing faintly on the kitchen counter." | | 3 | "A single mug sat cooling on the arm of the sofa—green tea, cold." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 648 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.033950617283950615 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.009259259259259259 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 160 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 160 | | mean | 8.44 | | std | 7.28 | | cv | 0.862 | | sampleLengths | | 0 | 14 | | 1 | 6 | | 2 | 10 | | 3 | 24 | | 4 | 3 | | 5 | 17 | | 6 | 22 | | 7 | 12 | | 8 | 3 | | 9 | 2 | | 10 | 6 | | 11 | 2 | | 12 | 10 | | 13 | 7 | | 14 | 3 | | 15 | 6 | | 16 | 5 | | 17 | 48 | | 18 | 8 | | 19 | 6 | | 20 | 2 | | 21 | 4 | | 22 | 4 | | 23 | 1 | | 24 | 22 | | 25 | 6 | | 26 | 8 | | 27 | 1 | | 28 | 2 | | 29 | 4 | | 30 | 6 | | 31 | 4 | | 32 | 3 | | 33 | 12 | | 34 | 4 | | 35 | 29 | | 36 | 4 | | 37 | 5 | | 38 | 8 | | 39 | 3 | | 40 | 14 | | 41 | 12 | | 42 | 11 | | 43 | 23 | | 44 | 13 | | 45 | 4 | | 46 | 12 | | 47 | 8 | | 48 | 9 | | 49 | 9 |
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| 44.38% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.3 | | totalSentences | 160 | | uniqueOpeners | 48 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 81 | | matches | | 0 | "Just stood in the center" | | 1 | "Then Lucien reached into his" | | 2 | "Then, without looking back, he" |
| | ratio | 0.037 | |
| 22.47% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 81 | | matches | | 0 | "She pulled the door open," | | 1 | "Her breath caught." | | 2 | "He didn’t smile." | | 3 | "His voice was lower than" | | 4 | "She didn’t move." | | 5 | "Her voice stayed level, but" | | 6 | "He exhaled through his nose," | | 7 | "Her spine snapped straight." | | 8 | "His good eye—amber—narrowed slightly" | | 9 | "They stood in silence, the" | | 10 | "His fingers had trembled." | | 11 | "She turned, leaving the door" | | 12 | "He followed, closing the door" | | 13 | "His cane tapped once on" | | 14 | "she said, folding her arms" | | 15 | "He turned to face her." | | 16 | "Her breath stilled." | | 17 | "His voice hardened" | | 18 | "She stepped forward, eyes blazing." | | 19 | "She dropped her arms, voice" |
| | ratio | 0.494 | |
| 40.25% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 81 | | matches | | 0 | "The deadbolts clicked back one" | | 1 | "Rory didn’t look through the" | | 2 | "Ptolemy yowled from somewhere behind" | | 3 | "She pulled the door open," | | 4 | "Her breath caught." | | 5 | "Lucien stood there, shoulders squared" | | 6 | "Rain glistened in his slicked-back" | | 7 | "The ivory handle of his" | | 8 | "He didn’t smile." | | 9 | "Rory’s fingers tightened on the" | | 10 | "His voice was lower than" | | 11 | "She didn’t move." | | 12 | "Her voice stayed level, but" | | 13 | "He exhaled through his nose," | | 14 | "Her spine snapped straight." | | 15 | "His good eye—amber—narrowed slightly" | | 16 | "Rory stepped back, scanning the" | | 17 | "They stood in silence, the" | | 18 | "The last time she’d seen" | | 19 | "His fingers had trembled." |
| | ratio | 0.84 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 81 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 20 | | technicalSentenceCount | 1 | | matches | | 0 | "Lucien stood there, shoulders squared beneath a charcoal suit that didn’t hide the tension in his frame." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 4 | | matches | | 0 | "she remembered, rougher" | | 1 | "Her voice stayed, but her pulse thudded against the scar on her wrist, a dull ache she hadn’t felt in months" | | 2 | "She dropped, voice cracking" | | 3 | "she said, voice low" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 87 | | tagDensity | 0.057 | | leniency | 0.115 | | rawRatio | 0.2 | | effectiveRatio | 0.023 | |