| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 29 | | tagDensity | 0.414 | | leniency | 0.828 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.76% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1179 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 53.35% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1179 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "silk" | | 1 | "familiar" | | 2 | "stomach" | | 3 | "silence" | | 4 | "flicker" | | 5 | "perfect" | | 6 | "weight" | | 7 | "tracing" | | 8 | "echoed" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 57 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 57 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 74 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1179 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 846 | | uniqueNames | 8 | | maxNameDensity | 0.95 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 8 | | Moreau | 1 | | London | 1 | | Brick | 1 | | Lane | 1 | | Eva | 6 | | Marseille | 1 | | Rory | 7 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Eva" | | 3 | "Rory" |
| | places | | 0 | "London" | | 1 | "Brick" | | 2 | "Lane" | | 3 | "Marseille" |
| | globalScore | 1 | | windowScore | 1 | |
| 45.83% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 2 | | matches | | 0 | "something like sandalwood and approaching st" | | 1 | "something like recognition, like pride" |
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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 | 1179 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 74 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 30.23 | | std | 17.71 | | cv | 0.586 | | sampleLengths | | 0 | 18 | | 1 | 28 | | 2 | 57 | | 3 | 5 | | 4 | 38 | | 5 | 41 | | 6 | 48 | | 7 | 18 | | 8 | 69 | | 9 | 38 | | 10 | 26 | | 11 | 59 | | 12 | 36 | | 13 | 2 | | 14 | 39 | | 15 | 22 | | 16 | 48 | | 17 | 44 | | 18 | 21 | | 19 | 62 | | 20 | 13 | | 21 | 53 | | 22 | 16 | | 23 | 44 | | 24 | 21 | | 25 | 28 | | 26 | 48 | | 27 | 30 | | 28 | 14 | | 29 | 40 | | 30 | 15 | | 31 | 16 | | 32 | 3 | | 33 | 34 | | 34 | 11 | | 35 | 10 | | 36 | 46 | | 37 | 11 | | 38 | 7 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 57 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 138 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 74 | | ratio | 0.014 | | matches | | 0 | "Books teetered in unstable stacks against every wall; scrolls spilled from shoeboxes like sleeping serpents." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 556 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 14 | | adverbRatio | 0.025179856115107913 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0035971223021582736 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 74 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 74 | | mean | 15.93 | | std | 9.98 | | cv | 0.626 | | sampleLengths | | 0 | 18 | | 1 | 28 | | 2 | 34 | | 3 | 23 | | 4 | 5 | | 5 | 7 | | 6 | 19 | | 7 | 12 | | 8 | 29 | | 9 | 12 | | 10 | 13 | | 11 | 15 | | 12 | 20 | | 13 | 4 | | 14 | 14 | | 15 | 37 | | 16 | 19 | | 17 | 13 | | 18 | 13 | | 19 | 9 | | 20 | 16 | | 21 | 17 | | 22 | 9 | | 23 | 27 | | 24 | 32 | | 25 | 5 | | 26 | 19 | | 27 | 12 | | 28 | 2 | | 29 | 3 | | 30 | 14 | | 31 | 22 | | 32 | 22 | | 33 | 27 | | 34 | 21 | | 35 | 18 | | 36 | 26 | | 37 | 15 | | 38 | 6 | | 39 | 23 | | 40 | 39 | | 41 | 6 | | 42 | 7 | | 43 | 23 | | 44 | 30 | | 45 | 13 | | 46 | 3 | | 47 | 21 | | 48 | 23 | | 49 | 7 |
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| 59.01% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.3783783783783784 | | totalSentences | 74 | | uniqueOpeners | 28 | |
| 59.52% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 56 | | matches | | 0 | "Then the flat shook, glass" |
| | ratio | 0.018 | |
| 55.71% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 56 | | matches | | 0 | "He stood untouched by the" | | 1 | "His ivory cane tapped once" | | 2 | "She kept her hand on" | | 3 | "He stepped past her, uninvited," | | 4 | "She moved past him, her" | | 5 | "He pulled a folded paper" | | 6 | "She looked at the paper." | | 7 | "Her stomach dropped, cold and" | | 8 | "she said, her voice low," | | 9 | "He lowered his gloved hand," | | 10 | "She felt the heat of" | | 11 | "Her delivery job, her flat" | | 12 | "she asked, pouring water into" | | 13 | "He glanced at the scrolls," | | 14 | "She set the cup down" | | 15 | "His voice dropped, smooth and" | | 16 | "she said, though her voice" | | 17 | "He straightened, the suit falling" | | 18 | "His cane was in his" | | 19 | "She unfurled it, spoke a" |
| | ratio | 0.411 | |
| 13.57% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 50 | | totalSentences | 56 | | matches | | 0 | "The deadbolts screamed in sequence," | | 1 | "Rory pulled the door inward," | | 2 | "He stood untouched by the" | | 3 | "His ivory cane tapped once" | | 4 | "She kept her hand on" | | 5 | "The small crescent-shaped scar on" | | 6 | "He stepped past her, uninvited," | | 7 | "The cramped one-bedroom flat smelled" | | 8 | "Books teetered in unstable stacks" | | 9 | "Ptolemy, Eva's tabby cat, leaped" | | 10 | "Rory shut the door." | | 11 | "The deadbolts clicked behind him," | | 12 | "She moved past him, her" | | 13 | "The sleeves of her worn" | | 14 | "Lucien said, setting his cane" | | 15 | "The hidden blade clicked softly" | | 16 | "Rory turned, her bright blue" | | 17 | "He pulled a folded paper" | | 18 | "She looked at the paper." | | 19 | "Symbols crawled across the page," |
| | ratio | 0.893 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 56 | | matches | (empty) | | ratio | 0 | |
| 15.31% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 5 | | matches | | 0 | "The deadbolts screamed in sequence, click-click-click, a metallic staccato that sliced through the turmeric-spiced air of the hallway." | | 1 | "His ivory cane tapped once against the threshold, a delicate sound that concealed its hidden steel, the kind of secret that suited him." | | 2 | "Rory turned, her bright blue eyes sharp in the low light that filtered through the paper-covered windows." | | 3 | "Rory grabbed the scroll from the table, her mind clicking faster than fear, her fingers tracing the parchment she half-knew from Eva's frantic explanations." | | 4 | "Then the flat shook, glass exploding inward with a sound like thunder, and something heavier than shadow, something with claws and a human laugh that echoed wit…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 3 | | matches | | 0 | "she said, her voice low, her back pressing against the kitchen counter," | | 1 | "she said, though her voice betrayed her with its tremor" | | 2 | "she whispered, her heart hammering against her ribs" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 29 | | tagDensity | 0.207 | | leniency | 0.414 | | rawRatio | 0.167 | | effectiveRatio | 0.069 | |