| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 1 | | adverbTags | | 0 | "His cane tapped once [once]" |
| | dialogueSentences | 35 | | tagDensity | 0.257 | | leniency | 0.514 | | rawRatio | 0.111 | | effectiveRatio | 0.057 | |
| 94.37% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 888 | | 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) | |
| 71.85% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 888 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "pulse" | | 1 | "stomach" | | 2 | "trembled" | | 3 | "eyebrow" | | 4 | "footsteps" |
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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 | 91 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 91 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 116 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 9 | | totalWords | 885 | | ratio | 0.01 | | matches | | 0 | "chérie" | | 1 | "\"Ask her about the night at the docks.\"" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 86.97% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 714 | | uniqueNames | 5 | | maxNameDensity | 1.26 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 9 | | Rory | 9 | | History | 1 | | Should | 3 | | Wanted | 3 |
| | persons | | 0 | "Lucien" | | 1 | "Rory" | | 2 | "Should" |
| | places | (empty) | | globalScore | 0.87 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | 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 | 885 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 116 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 17.02 | | std | 12.62 | | cv | 0.741 | | sampleLengths | | 0 | 36 | | 1 | 41 | | 2 | 3 | | 3 | 22 | | 4 | 14 | | 5 | 15 | | 6 | 7 | | 7 | 40 | | 8 | 48 | | 9 | 5 | | 10 | 12 | | 11 | 32 | | 12 | 9 | | 13 | 52 | | 14 | 5 | | 15 | 5 | | 16 | 35 | | 17 | 9 | | 18 | 8 | | 19 | 10 | | 20 | 9 | | 21 | 37 | | 22 | 18 | | 23 | 20 | | 24 | 10 | | 25 | 12 | | 26 | 11 | | 27 | 31 | | 28 | 14 | | 29 | 22 | | 30 | 7 | | 31 | 14 | | 32 | 32 | | 33 | 37 | | 34 | 4 | | 35 | 15 | | 36 | 14 | | 37 | 4 | | 38 | 10 | | 39 | 9 | | 40 | 7 | | 41 | 22 | | 42 | 5 | | 43 | 17 | | 44 | 17 | | 45 | 5 | | 46 | 2 | | 47 | 6 | | 48 | 28 | | 49 | 20 |
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| 93.70% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 91 | | matches | | 0 | "being drawn" | | 1 | "was scrawled" | | 2 | "been written" | | 3 | "been between" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 136 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 116 | | ratio | 0.009 | | matches | | 0 | "Lucien’s cane tapped against the floorboards as he stepped inside, his gaze sweeping over the clutter—stacks of books teetering on the coffee table, scrolls unrolled across the sofa, a half-empty mug of tea gone cold." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 717 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.03486750348675035 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.001394700139470014 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 116 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 116 | | mean | 7.63 | | std | 5.42 | | cv | 0.71 | | sampleLengths | | 0 | 12 | | 1 | 11 | | 2 | 13 | | 3 | 22 | | 4 | 13 | | 5 | 6 | | 6 | 3 | | 7 | 6 | | 8 | 12 | | 9 | 4 | | 10 | 6 | | 11 | 5 | | 12 | 3 | | 13 | 7 | | 14 | 8 | | 15 | 7 | | 16 | 9 | | 17 | 4 | | 18 | 14 | | 19 | 13 | | 20 | 13 | | 21 | 35 | | 22 | 5 | | 23 | 7 | | 24 | 5 | | 25 | 4 | | 26 | 18 | | 27 | 10 | | 28 | 9 | | 29 | 3 | | 30 | 18 | | 31 | 11 | | 32 | 10 | | 33 | 10 | | 34 | 4 | | 35 | 1 | | 36 | 5 | | 37 | 25 | | 38 | 3 | | 39 | 7 | | 40 | 9 | | 41 | 8 | | 42 | 3 | | 43 | 7 | | 44 | 4 | | 45 | 5 | | 46 | 2 | | 47 | 4 | | 48 | 2 | | 49 | 2 |
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| 50.57% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.3448275862068966 | | totalSentences | 116 | | uniqueOpeners | 40 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 81 | | matches | | 0 | "Of course she did." | | 1 | "Such a clean word for" | | 2 | "Instead, she said," | | 3 | "Instead, she said," | | 4 | "Then he dipped his head," |
| | ratio | 0.062 | |
| 86.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 81 | | matches | | 0 | "His amber eye caught the" | | 1 | "She didn’t step aside." | | 2 | "He didn’t move" | | 3 | "She should’ve said no." | | 4 | "He turned, slow, deliberate." | | 5 | "His mouth quirked." | | 6 | "He reached into his jacket," | | 7 | "He held it between two" | | 8 | "She didn’t take it." | | 9 | "Her name was scrawled across" | | 10 | "She snatched it from him," | | 11 | "Her fingers trembled." | | 12 | "She crumpled the paper in" | | 13 | "She turned away, pressing her" | | 14 | "His cane tapped once, twice" | | 15 | "She should’ve laughed." | | 16 | "His laugh was low, rough." | | 17 | "He didn’t move" | | 18 | "She wanted to argue." | | 19 | "His fingers brushed her wrist," |
| | ratio | 0.333 | |
| 77.28% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 81 | | matches | | 0 | "The deadbolt scraped back with" | | 1 | "Rory’s breath hitched, fingers tightening" | | 2 | "The chain rattled, the last" | | 3 | "Lucien stood there, one hand" | | 4 | "His amber eye caught the" | | 5 | "The black one swallowed it" | | 6 | "Rory’s pulse hammered in her" | | 7 | "The words came out flatter" | | 8 | "She didn’t step aside." | | 9 | "A muscle twitched in his" | | 10 | "He didn’t move" | | 11 | "Neither did she." | | 12 | "Ptolemy wound between her ankles," | | 13 | "The cat’s green eyes locked" | | 14 | "The old endearment curled around" | | 15 | "She should’ve said no." | | 16 | "The flat smelled of old" | | 17 | "Lucien’s cane tapped against the" | | 18 | "Rory shut the door harder" | | 19 | "He turned, slow, deliberate." |
| | ratio | 0.765 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 81 | | matches | (empty) | | ratio | 0 | |
| 89.95% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 2 | | matches | | 0 | "Her name was scrawled across the paper in ink that looked too dark, too wet, like it had been written in something thicker than ink." | | 1 | "Rory pressed her forehead against the wood, listening to the sound of his footsteps fading down the stairs." |
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| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 1 | | matches | | 0 | "His cane tapped once, twice" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 35 | | tagDensity | 0.114 | | leniency | 0.229 | | rawRatio | 0.25 | | effectiveRatio | 0.057 | |