| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said quietly [quietly]" |
| | dialogueSentences | 58 | | tagDensity | 0.379 | | leniency | 0.759 | | rawRatio | 0.045 | | effectiveRatio | 0.034 | |
| 88.28% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1280 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "softly" | | 1 | "carefully" | | 2 | "suddenly" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 37.50% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1280 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "weight" | | 1 | "familiar" | | 2 | "comforting" | | 3 | "stomach" | | 4 | "traced" | | 5 | "intensity" | | 6 | "unreadable" | | 7 | "reminder" | | 8 | "flickered" | | 9 | "dancing" | | 10 | "measured" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "weight of words/silence" | | count | 2 |
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| | highlights | | 0 | "The weight of his words" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 64 | | matches | (empty) | |
| 98.21% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 64 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 97 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1276 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 870 | | uniqueNames | 11 | | maxNameDensity | 0.46 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Friday | 1 | | Aurora | 4 | | Cardiff | 1 | | Brighton | 1 | | Manchester | 1 | | London | 1 | | Silas | 3 | | Evan | 1 | | Eva | 1 |
| | persons | | 0 | "Raven" | | 1 | "Aurora" | | 2 | "Silas" | | 3 | "Evan" | | 4 | "Eva" |
| | places | | 0 | "Nest" | | 1 | "Cardiff" | | 2 | "Brighton" | | 3 | "Manchester" | | 4 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like a particularly cruel joke" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.784 | | wordCount | 1276 | | matches | | 0 | "Not about where you were, but about whether you were happy" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 97 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 51 | | mean | 25.02 | | std | 14.72 | | cv | 0.588 | | sampleLengths | | 0 | 56 | | 1 | 18 | | 2 | 33 | | 3 | 51 | | 4 | 5 | | 5 | 13 | | 6 | 14 | | 7 | 30 | | 8 | 18 | | 9 | 15 | | 10 | 29 | | 11 | 35 | | 12 | 49 | | 13 | 4 | | 14 | 29 | | 15 | 24 | | 16 | 38 | | 17 | 21 | | 18 | 30 | | 19 | 20 | | 20 | 41 | | 21 | 38 | | 22 | 8 | | 23 | 23 | | 24 | 47 | | 25 | 6 | | 26 | 21 | | 27 | 3 | | 28 | 23 | | 29 | 31 | | 30 | 5 | | 31 | 24 | | 32 | 5 | | 33 | 17 | | 34 | 28 | | 35 | 5 | | 36 | 31 | | 37 | 41 | | 38 | 10 | | 39 | 18 | | 40 | 2 | | 41 | 37 | | 42 | 33 | | 43 | 33 | | 44 | 15 | | 45 | 38 | | 46 | 56 | | 47 | 9 | | 48 | 29 | | 49 | 52 |
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| 99.78% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 64 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 145 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 97 | | ratio | 0.052 | | matches | | 0 | "Her delivery bag sat forgotten on the floor, its contents rattling softly—dishes that had probably already begun their slow descent toward catastrophe." | | 1 | "\"Then take the tube. Or a cab.\" His voice carried that particular edge she remembered from their university days—the way he could cut through nonsense with surgical precision." | | 2 | "She'd been drifting for so long—Cardiff, Brighton, Manchester, back to London with nowhere permanent to plant herself." | | 3 | "The casual cruelty of it—\"happy\"—made her want to laugh or cry or both." | | 4 | "They were measured in the courage to return home—to whoever or whatever that might mean." |
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| 90.22% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 880 | | adjectiveStacks | 1 | | stackExamples | | 0 | "warm, candle-lit space." |
| | adverbCount | 39 | | adverbRatio | 0.04431818181818182 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.015909090909090907 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 97 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 97 | | mean | 13.15 | | std | 7.44 | | cv | 0.566 | | sampleLengths | | 0 | 22 | | 1 | 19 | | 2 | 15 | | 3 | 18 | | 4 | 11 | | 5 | 22 | | 6 | 16 | | 7 | 16 | | 8 | 19 | | 9 | 5 | | 10 | 9 | | 11 | 4 | | 12 | 13 | | 13 | 1 | | 14 | 10 | | 15 | 20 | | 16 | 18 | | 17 | 10 | | 18 | 5 | | 19 | 21 | | 20 | 8 | | 21 | 28 | | 22 | 7 | | 23 | 10 | | 24 | 26 | | 25 | 13 | | 26 | 4 | | 27 | 27 | | 28 | 2 | | 29 | 19 | | 30 | 5 | | 31 | 32 | | 32 | 6 | | 33 | 11 | | 34 | 10 | | 35 | 23 | | 36 | 7 | | 37 | 13 | | 38 | 7 | | 39 | 21 | | 40 | 15 | | 41 | 5 | | 42 | 7 | | 43 | 24 | | 44 | 7 | | 45 | 8 | | 46 | 13 | | 47 | 10 | | 48 | 5 | | 49 | 20 |
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| 67.01% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.4329896907216495 | | totalSentences | 97 | | uniqueOpeners | 42 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 32.90% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 62 | | matches | | 0 | "Her delivery bag sat forgotten" | | 1 | "She straightened, her heart doing" | | 2 | "He set down a cloth-wrapped" | | 3 | "she asked, pouring water from" | | 4 | "He nodded toward the bundle" | | 5 | "His voice carried that particular" | | 6 | "She studied his face more" | | 7 | "He pulled out a chair," | | 8 | "She traced the rim of" | | 9 | "His tone was gentle but" | | 10 | "He actually smiled then, that" | | 11 | "She leaned forward, her elbows" | | 12 | "He reached into his jacket" | | 13 | "He flipped through the pages" | | 14 | "she said quietly" | | 15 | "He looked up, meeting her" | | 16 | "He set the notebook down," | | 17 | "She'd been drifting for so" | | 18 | "She stared at the water" | | 19 | "Her breath caught." |
| | ratio | 0.468 | |
| 24.52% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 62 | | matches | | 0 | "The glass cracked against the" | | 1 | "Aurora steadied herself against the" | | 2 | "The bartender, a young man" | | 3 | "Aurora muttered, sliding the broken" | | 4 | "Her delivery bag sat forgotten" | | 5 | "Silas emerged from the back" | | 6 | "The green neon sign outside" | | 7 | "She straightened, her heart doing" | | 8 | "He set down a cloth-wrapped" | | 9 | "The chair creaked under her" | | 10 | "The familiar weight of her" | | 11 | "she asked, pouring water from" | | 12 | "He nodded toward the bundle" | | 13 | "Aurora's hand moved instinctively to" | | 14 | "His voice carried that particular" | | 15 | "The weight of his words" | | 16 | "She studied his face more" | | 17 | "Time had been kinder to" | | 18 | "He pulled out a chair," | | 19 | "She traced the rim of" |
| | ratio | 0.871 | |
| 80.65% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 62 | | matches | | 0 | "Even with his slight limp," |
| | ratio | 0.016 | |
| 56.28% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 4 | | matches | | 0 | "Aurora's hand moved instinctively to her left wrist, brushing against the crescent-shaped scar that had been there since she was eight." | | 1 | "She studied his face more carefully: the grey-streaked auburn hair that had once been black, the way his jaw had grown stiffer, his features more angular." | | 2 | "Silas leaned back in his chair, studying her with the intensity of someone who had spent years learning to read people's most dangerous lies." | | 3 | "In that moment, surrounded by the quiet magic of a place that existed between worlds, she understood that some journeys couldn't be measured in miles or time." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 1 | | matches | | 0 | "He set, his fingers steepled" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 2 | | fancyTags | | 0 | "Aurora muttered (mutter)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 58 | | tagDensity | 0.103 | | leniency | 0.207 | | rawRatio | 0.333 | | effectiveRatio | 0.069 | |