| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 2 | | adverbTags | | 0 | "he said quietly [quietly]" | | 1 | "He stepped close [close]" |
| | dialogueSentences | 76 | | tagDensity | 0.316 | | leniency | 0.632 | | rawRatio | 0.083 | | effectiveRatio | 0.053 | |
| 88.64% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1320 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slightly" | | 1 | "really" | | 2 | "slowly" |
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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) | |
| 73.48% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1320 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "flicked" | | 1 | "silence" | | 2 | "weight" | | 3 | "unsettled" | | 4 | "rhythmic" | | 5 | "flickered" |
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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 | 96 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 96 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 145 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 14 | | markdownWords | 50 | | totalWords | 1305 | | ratio | 0.038 | | matches | | 0 | "knocked" | | 1 | "click" | | 2 | "\"The one with the scar drinks from a cup that isn’t hers. She walks blind where shadows walk upright. Free her, or the debt claims her blood on the fourth night.\"" | | 3 | "baguette" | | 4 | "always" | | 5 | "cared" | | 6 | "something" | | 7 | "marked" | | 8 | "you" | | 9 | "Black tea, no sugar" | | 10 | "Aurora Carter" | | 11 | "keep you alive" | | 12 | "breathe" | | 13 | "drip" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 24 | | unquotedAttributions | 0 | | matches | (empty) | |
| 92.05% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 604 | | uniqueNames | 10 | | maxNameDensity | 1.16 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | One | 1 | | Ptolemy | 4 | | Eva | 2 | | Scrolls | 1 | | Aurora | 3 | | Yellowed | 1 | | Grainy | 1 | | Close | 1 | | You | 1 | | Lucien | 7 |
| | persons | | 0 | "Ptolemy" | | 1 | "Eva" | | 2 | "Scrolls" | | 3 | "Aurora" | | 4 | "Lucien" |
| | places | (empty) | | globalScore | 0.921 | | windowScore | 1 | |
| 87.50% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 40 | | glossingSentenceCount | 1 | | matches | | 0 | "as if testing the weight of a blade beneath his palm" |
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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 | 1305 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 145 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 75 | | mean | 17.4 | | std | 15.97 | | cv | 0.918 | | sampleLengths | | 0 | 14 | | 1 | 38 | | 2 | 41 | | 3 | 7 | | 4 | 32 | | 5 | 14 | | 6 | 49 | | 7 | 32 | | 8 | 5 | | 9 | 52 | | 10 | 21 | | 11 | 20 | | 12 | 5 | | 13 | 29 | | 14 | 17 | | 15 | 22 | | 16 | 3 | | 17 | 4 | | 18 | 33 | | 19 | 48 | | 20 | 14 | | 21 | 10 | | 22 | 2 | | 23 | 45 | | 24 | 7 | | 25 | 2 | | 26 | 31 | | 27 | 1 | | 28 | 3 | | 29 | 1 | | 30 | 4 | | 31 | 62 | | 32 | 2 | | 33 | 6 | | 34 | 4 | | 35 | 36 | | 36 | 3 | | 37 | 14 | | 38 | 13 | | 39 | 8 | | 40 | 2 | | 41 | 4 | | 42 | 23 | | 43 | 39 | | 44 | 3 | | 45 | 4 | | 46 | 27 | | 47 | 5 | | 48 | 18 | | 49 | 19 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 96 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 119 | | matches | (empty) | |
| 24.63% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 145 | | ratio | 0.041 | | matches | | 0 | "One heterochromatic eye caught the dim hall light—amber, molten—with the other, black as engine oil, fixed on her face." | | 1 | "He removed his coat, folded it with care, and laid it over the back of Eva’s armchair—missing half its cushion and piled high with grimoires." | | 2 | "Then—“It’s a trap.”" | | 3 | "But behind her—just beyond the streetlamp’s halo—*something* followed." | | 4 | "Close enough she caught the faint scent of bergamot and something darker beneath—smoke from another realm." | | 5 | "Then—“You should’ve said that before.”" |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 718 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.02924791086350975 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.002785515320334262 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 145 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 145 | | mean | 9 | | std | 8.17 | | cv | 0.908 | | sampleLengths | | 0 | 14 | | 1 | 3 | | 2 | 21 | | 3 | 14 | | 4 | 17 | | 5 | 19 | | 6 | 5 | | 7 | 7 | | 8 | 27 | | 9 | 5 | | 10 | 6 | | 11 | 8 | | 12 | 21 | | 13 | 28 | | 14 | 4 | | 15 | 15 | | 16 | 8 | | 17 | 5 | | 18 | 5 | | 19 | 18 | | 20 | 5 | | 21 | 11 | | 22 | 13 | | 23 | 5 | | 24 | 21 | | 25 | 9 | | 26 | 11 | | 27 | 3 | | 28 | 2 | | 29 | 29 | | 30 | 3 | | 31 | 6 | | 32 | 8 | | 33 | 12 | | 34 | 10 | | 35 | 3 | | 36 | 4 | | 37 | 8 | | 38 | 15 | | 39 | 10 | | 40 | 13 | | 41 | 25 | | 42 | 10 | | 43 | 11 | | 44 | 3 | | 45 | 8 | | 46 | 2 | | 47 | 2 | | 48 | 19 | | 49 | 1 |
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| 63.22% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.4206896551724138 | | totalSentences | 145 | | uniqueOpeners | 61 | |
| 90.09% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 74 | | matches | | 0 | "Then he leaned his cane" | | 1 | "Then folded it slowly." |
| | ratio | 0.027 | |
| 52.43% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 74 | | matches | | 0 | "Her fingers curled around the" | | 1 | "He didn’t smile, but the" | | 2 | "Her thumb slipped from the" | | 3 | "He leaned forward slightly, the" | | 4 | "His gaze flicked past her" | | 5 | "he said, calm as a" | | 6 | "Her breath hitched." | | 7 | "She caught it, locked it" | | 8 | "He removed his coat, folded" | | 9 | "she said, backing toward the" | | 10 | "He stepped into the room," | | 11 | "He reached into his inner" | | 12 | "She didn’t take it." | | 13 | "He looked at her, really" | | 14 | "He moved to the sigil" | | 15 | "She turned her wrist, hid" | | 16 | "He slammed it shut." | | 17 | "he said quietly" | | 18 | "Her voice cracked" | | 19 | "he said at last" |
| | ratio | 0.419 | |
| 81.62% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 74 | | matches | | 0 | "The chain was halfway off" | | 1 | "Aurora didn’t flinch." | | 2 | "Her fingers curled around the" | | 3 | "Lucien stood framed in the" | | 4 | "He didn’t smile, but the" | | 5 | "Her thumb slipped from the" | | 6 | "He leaned forward slightly, the" | | 7 | "Ptolemy had been vocal." | | 8 | "Aurora had thought it was" | | 9 | "His gaze flicked past her" | | 10 | "Scrolls spilled from coffee rings." | | 11 | "A half-eaten bowl of noodles" | | 12 | "A sigil drawn in crushed" | | 13 | "he said, calm as a" | | 14 | "That stopped her." | | 15 | "Her breath hitched." | | 16 | "She caught it, locked it" | | 17 | "Lucien’s voice dropped" | | 18 | "Aurora stepped back." | | 19 | "The door swung wide." |
| | ratio | 0.757 | |
| 67.57% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 74 | | matches | | 0 | "Now she wasn’t so sure." |
| | ratio | 0.014 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 18 | | technicalSentenceCount | 1 | | matches | | 0 | "Three nights of yowling at the foot of her bed, circling in tight, furious loops." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 76 | | tagDensity | 0.092 | | leniency | 0.184 | | rawRatio | 0.143 | | effectiveRatio | 0.026 | |