| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 1 | | adverbTags | | 0 | "His jaw worked once [once]" |
| | dialogueSentences | 173 | | tagDensity | 0.121 | | leniency | 0.243 | | rawRatio | 0.048 | | effectiveRatio | 0.012 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2184 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 95.42% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2184 | | totalAiIsms | 2 | | found | | | highlights | | |
| 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 | 143 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 143 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 295 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2184 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 38 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 56 | | wordCount | 1263 | | uniqueNames | 5 | | maxNameDensity | 2.06 | | worstName | "Lucien" | | maxWindowNameDensity | 5 | | worstWindowName | "Lucien" | | discoveredNames | | Moreau | 1 | | Ptolemy | 2 | | Eva | 2 | | Rory | 25 | | Lucien | 26 |
| | persons | | 0 | "Moreau" | | 1 | "Ptolemy" | | 2 | "Eva" | | 3 | "Rory" | | 4 | "Lucien" |
| | places | (empty) | | globalScore | 0.471 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 106 | | glossingSentenceCount | 2 | | matches | | 0 | "seemed fixed on the gauze between them" | | 1 | "seemed smaller with him in it" |
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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 | 2184 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 295 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 215 | | mean | 10.16 | | std | 10.68 | | cv | 1.052 | | sampleLengths | | 0 | 8 | | 1 | 41 | | 2 | 5 | | 3 | 1 | | 4 | 22 | | 5 | 5 | | 6 | 13 | | 7 | 5 | | 8 | 9 | | 9 | 62 | | 10 | 4 | | 11 | 7 | | 12 | 6 | | 13 | 2 | | 14 | 2 | | 15 | 6 | | 16 | 20 | | 17 | 4 | | 18 | 2 | | 19 | 2 | | 20 | 21 | | 21 | 7 | | 22 | 3 | | 23 | 3 | | 24 | 14 | | 25 | 7 | | 26 | 12 | | 27 | 13 | | 28 | 20 | | 29 | 1 | | 30 | 2 | | 31 | 2 | | 32 | 6 | | 33 | 8 | | 34 | 20 | | 35 | 2 | | 36 | 4 | | 37 | 8 | | 38 | 6 | | 39 | 26 | | 40 | 3 | | 41 | 6 | | 42 | 34 | | 43 | 7 | | 44 | 44 | | 45 | 1 | | 46 | 3 | | 47 | 4 | | 48 | 12 | | 49 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 143 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 225 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 2 | | flaggedSentences | 2 | | totalSentences | 295 | | ratio | 0.007 | | matches | | 0 | "Rory had spent the afternoon sorting Eva’s research notes; she had not expected to spend the evening stopping a man she’d once kissed from crossing the threshold." | | 1 | "He didn’t force it; he only rested the ivory handle against the frame, stopping the door with a quiet tap." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1266 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.023696682464454975 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0007898894154818325 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 295 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 295 | | mean | 7.4 | | std | 4.99 | | cv | 0.674 | | sampleLengths | | 0 | 8 | | 1 | 21 | | 2 | 10 | | 3 | 10 | | 4 | 5 | | 5 | 1 | | 6 | 12 | | 7 | 10 | | 8 | 5 | | 9 | 13 | | 10 | 5 | | 11 | 9 | | 12 | 9 | | 13 | 13 | | 14 | 13 | | 15 | 27 | | 16 | 4 | | 17 | 7 | | 18 | 6 | | 19 | 2 | | 20 | 2 | | 21 | 6 | | 22 | 9 | | 23 | 11 | | 24 | 4 | | 25 | 2 | | 26 | 2 | | 27 | 12 | | 28 | 9 | | 29 | 7 | | 30 | 3 | | 31 | 3 | | 32 | 3 | | 33 | 11 | | 34 | 7 | | 35 | 12 | | 36 | 13 | | 37 | 10 | | 38 | 10 | | 39 | 1 | | 40 | 2 | | 41 | 2 | | 42 | 6 | | 43 | 8 | | 44 | 7 | | 45 | 13 | | 46 | 2 | | 47 | 4 | | 48 | 8 | | 49 | 6 |
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| 47.29% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.2271186440677966 | | totalSentences | 295 | | uniqueOpeners | 67 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 125 | | matches | (empty) | | ratio | 0 | |
| 76.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 45 | | totalSentences | 125 | | matches | | 0 | "His amber eye flicked to" | | 1 | "His mouth tilted, but the" | | 2 | "His cane clicked once against" | | 3 | "She started to close the" | | 4 | "He didn’t force it; he" | | 5 | "He withdrew the cane at" | | 6 | "He had always known how" | | 7 | "She hated that she remembered" | | 8 | "She heard voices below: the" | | 9 | "His jaw worked once" | | 10 | "He stepped away from the" | | 11 | "He wore a flat cap" | | 12 | "he said, without looking back" | | 13 | "She shut it, slid the" | | 14 | "His cane cracked against the" | | 15 | "It struck the attacker in" | | 16 | "He stumbled, one hand flying" | | 17 | "She caught his sleeve before" | | 18 | "His coat felt cold and" | | 19 | "He looked at her hand," |
| | ratio | 0.36 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 116 | | totalSentences | 125 | | matches | | 0 | "The door opened the width" | | 1 | "Lucien Moreau stood on the" | | 2 | "The other held a brown" | | 3 | "Aurora kept the chain on." | | 4 | "His amber eye flicked to" | | 5 | "The black one caught the" | | 6 | "The flat smelled of curry" | | 7 | "A stack of books leaned" | | 8 | "Rory had spent the afternoon" | | 9 | "Lucien lifted the parcel." | | 10 | "Rory’s fingers tightened round the" | | 11 | "The small crescent scar on" | | 12 | "His mouth tilted, but the" | | 13 | "A beat passed." | | 14 | "Rain tapped the narrow window" | | 15 | "The cat pressed against Rory’s" | | 16 | "Lucien bent and set the" | | 17 | "His cane clicked once against" | | 18 | "Rory’s gaze dropped to his" | | 19 | "A dark line of blood" |
| | ratio | 0.928 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 125 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 59 | | technicalSentenceCount | 1 | | matches | | 0 | "In the dark window, she caught his reflection: straight-backed despite the wound, one hand resting on the cane as though the furniture might shift under him." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 1 | | matches | | 0 | "he said, without looking back," |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 17 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 173 | | tagDensity | 0.098 | | leniency | 0.197 | | rawRatio | 0 | | effectiveRatio | 0 | |