| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 1 | | adverbTags | | 0 | "He moved further [further]" |
| | dialogueSentences | 40 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.063 | | effectiveRatio | 0.05 | |
| 77.24% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1318 | | totalAiIsmAdverbs | 6 | | 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) | |
| 54.48% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1318 | | totalAiIsms | 12 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | word | "down my spine" | | count | 1 |
| | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | |
| | highlights | | 0 | "eyebrow" | | 1 | "electric" | | 2 | "comforting" | | 3 | "chill" | | 4 | "down my spine" | | 5 | "reminder" | | 6 | "could feel" | | 7 | "flickered" | | 8 | "whisper" | | 9 | "tracing" | | 10 | "searing" | | 11 | "echo" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "sent a shiver through" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 89 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 89 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 114 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 6 | | totalWords | 1316 | | ratio | 0.005 | | matches | | 0 | "Forgive me. It’s safer this way." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 812 | | uniqueNames | 8 | | maxNameDensity | 0.49 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Eva" | | discoveredNames | | Lucien | 4 | | Moreau | 1 | | Eva | 4 | | Oxford | 1 | | Marseille | 1 | | Brick | 1 | | Lane | 1 | | Ptolemy | 2 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Eva" | | 3 | "Ptolemy" |
| | places | | 0 | "Oxford" | | 1 | "Marseille" | | 2 | "Brick" | | 3 | "Lane" |
| | globalScore | 1 | | windowScore | 1 | |
| 60.71% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like a bloody cologne advert" | | 1 | "symbols that seemed to drink the light" |
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| 48.02% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.52 | | wordCount | 1316 | | matches | | 0 | "Not all bad, but bad enough" | | 1 | "not to touch me, but to hover near my face, a breath away from my cheek" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 114 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 30.6 | | std | 22.64 | | cv | 0.74 | | sampleLengths | | 0 | 13 | | 1 | 3 | | 2 | 18 | | 3 | 59 | | 4 | 28 | | 5 | 3 | | 6 | 37 | | 7 | 3 | | 8 | 4 | | 9 | 20 | | 10 | 53 | | 11 | 36 | | 12 | 64 | | 13 | 9 | | 14 | 20 | | 15 | 18 | | 16 | 45 | | 17 | 25 | | 18 | 34 | | 19 | 4 | | 20 | 72 | | 21 | 55 | | 22 | 11 | | 23 | 16 | | 24 | 45 | | 25 | 16 | | 26 | 4 | | 27 | 77 | | 28 | 39 | | 29 | 46 | | 30 | 71 | | 31 | 9 | | 32 | 60 | | 33 | 14 | | 34 | 4 | | 35 | 23 | | 36 | 82 | | 37 | 19 | | 38 | 55 | | 39 | 26 | | 40 | 36 | | 41 | 12 | | 42 | 28 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 89 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 129 | | matches | (empty) | |
| 92.73% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 114 | | ratio | 0.018 | | matches | | 0 | "The wood met resistance with a solid thud; the toe of his polished Oxford was wedged in the gap." | | 1 | "His scent followed—expensive cologne, old paper, and a faint, electric tang, like ozone before a storm." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 676 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.026627218934911243 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.004437869822485207 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 114 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 114 | | mean | 11.54 | | std | 9.17 | | cv | 0.794 | | sampleLengths | | 0 | 4 | | 1 | 3 | | 2 | 6 | | 3 | 3 | | 4 | 13 | | 5 | 3 | | 6 | 2 | | 7 | 17 | | 8 | 19 | | 9 | 9 | | 10 | 5 | | 11 | 1 | | 12 | 1 | | 13 | 7 | | 14 | 4 | | 15 | 9 | | 16 | 8 | | 17 | 7 | | 18 | 3 | | 19 | 14 | | 20 | 4 | | 21 | 19 | | 22 | 3 | | 23 | 4 | | 24 | 14 | | 25 | 6 | | 26 | 22 | | 27 | 11 | | 28 | 16 | | 29 | 4 | | 30 | 25 | | 31 | 4 | | 32 | 7 | | 33 | 21 | | 34 | 12 | | 35 | 1 | | 36 | 20 | | 37 | 10 | | 38 | 5 | | 39 | 4 | | 40 | 4 | | 41 | 11 | | 42 | 4 | | 43 | 1 | | 44 | 18 | | 45 | 7 | | 46 | 28 | | 47 | 10 | | 48 | 9 | | 49 | 7 |
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| 58.77% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.39473684210526316 | | totalSentences | 114 | | uniqueOpeners | 45 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 82 | | matches | | 0 | "Then the second." | | 1 | "Instead, he brushed his lips" | | 2 | "Then he turned, collected his" |
| | ratio | 0.037 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 46 | | totalSentences | 82 | | matches | | 0 | "My hand froze on the" | | 1 | "His voice, a low curl" | | 2 | "He looked exactly the same," | | 3 | "He should have looked worse." | | 4 | "He looked like a bloody" | | 5 | "He raised an eyebrow." | | 6 | "His left one, the one" | | 7 | "I slammed the door." | | 8 | "I shoved harder" | | 9 | "He leaned into the doorframe," | | 10 | "His scent followed—expensive cologne, old" | | 11 | "I gave one last, useless" | | 12 | "He’d always won through sheer," | | 13 | "He entered Eva’s cramped flat" | | 14 | "It clicked with a finality" | | 15 | "It wasn’t a request." | | 16 | "I kicked it shut." | | 17 | "His smile was a thin," | | 18 | "He moved further into the" | | 19 | "I crossed my arms, leaning" |
| | ratio | 0.561 | |
| 8.78% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 82 | | matches | | 0 | "The deadbolt scraped back." | | 1 | "My hand froze on the" | | 2 | "His voice, a low curl" | | 3 | "The door swung open, and" | | 4 | "The dim bulb from Eva’s" | | 5 | "He looked exactly the same," | | 6 | "He should have looked worse." | | 7 | "He looked like a bloody" | | 8 | "He raised an eyebrow." | | 9 | "His left one, the one" | | 10 | "The right, over the black" | | 11 | "A little trick I remembered" | | 12 | "The question landed like a" | | 13 | "I slammed the door." | | 14 | "The wood met resistance with" | | 15 | "I shoved harder" | | 16 | "The leather of his shoe" | | 17 | "The name, my real name," | | 18 | "He leaned into the doorframe," | | 19 | "His scent followed—expensive cologne, old" |
| | ratio | 0.902 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 82 | | matches | (empty) | | ratio | 0 | |
| 93.60% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 2 | | matches | | 0 | "It clicked with a finality that made my scar itch." | | 1 | "Late nights in this very flat, his fingers tracing the crescent scar on my wrist, asking no questions." |
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| 31.25% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 3 | | matches | | 0 | "The way he said, an observation—sent a chill down my spine" | | 1 | "I whispered, the old question escaping" | | 2 | "He lowered, his expression shuttering closed" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 40 | | tagDensity | 0.1 | | leniency | 0.2 | | rawRatio | 0.25 | | effectiveRatio | 0.05 | |