| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 0 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.97% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1868 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "suddenly" | | 1 | "slightly" | | 2 | "carefully" |
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| 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) | |
| 59.85% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1868 | | totalAiIsms | 15 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | word | "down her spine" | | count | 1 |
| | 10 | |
| | highlights | | 0 | "echoed" | | 1 | "pulse" | | 2 | "throbbed" | | 3 | "measured" | | 4 | "traced" | | 5 | "silence" | | 6 | "loomed" | | 7 | "racing" | | 8 | "echoes" | | 9 | "down her spine" | | 10 | "fluttered" |
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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 | 199 | | matches | (empty) | |
| 92.61% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 4 | | hedgeCount | 3 | | narrationSentences | 199 | | filterMatches | | | hedgeMatches | | 0 | "started to" | | 1 | "tried to" | | 2 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 199 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1868 | | ratio | 0 | | matches | (empty) | |
| 41.67% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 1 | | matches | | 0 | "Tell me again, she whispered against his jaw." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 48 | | wordCount | 1862 | | uniqueNames | 15 | | maxNameDensity | 0.59 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "You" | | discoveredNames | | Ptolemy | 5 | | Eva | 5 | | Golden | 1 | | Empress | 1 | | Lucien | 11 | | Brick | 1 | | Lane | 1 | | Marseille | 1 | | Cardiff | 2 | | Evan | 3 | | London | 2 | | Avaros | 1 | | Aurora | 2 | | Carter | 1 | | You | 11 |
| | persons | | 0 | "Ptolemy" | | 1 | "Eva" | | 2 | "Lucien" | | 3 | "Evan" | | 4 | "Aurora" | | 5 | "Carter" | | 6 | "You" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Marseille" | | 3 | "Cardiff" | | 4 | "London" | | 5 | "Avaros" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 142 | | glossingSentenceCount | 2 | | matches | | 0 | "seemed safer than telling you I loved you while my demon half still fought for control" | | 1 | "as if relearning territory" |
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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 | 1868 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 3 | | totalSentences | 199 | | matches | | 0 | "surged that night" | | 1 | "out that door" | | 2 | "make that choice" |
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| 68.09% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 50.49 | | std | 19.61 | | cv | 0.388 | | sampleLengths | | 0 | 88 | | 1 | 25 | | 2 | 14 | | 3 | 56 | | 4 | 46 | | 5 | 84 | | 6 | 29 | | 7 | 44 | | 8 | 49 | | 9 | 56 | | 10 | 59 | | 11 | 56 | | 12 | 73 | | 13 | 59 | | 14 | 84 | | 15 | 48 | | 16 | 46 | | 17 | 20 | | 18 | 50 | | 19 | 66 | | 20 | 56 | | 21 | 76 | | 22 | 55 | | 23 | 64 | | 24 | 76 | | 25 | 66 | | 26 | 35 | | 27 | 57 | | 28 | 43 | | 29 | 18 | | 30 | 46 | | 31 | 55 | | 32 | 41 | | 33 | 8 | | 34 | 21 | | 35 | 58 | | 36 | 41 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 199 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 328 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 199 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 980 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.02857142857142857 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.003061224489795918 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 199 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 199 | | mean | 9.39 | | std | 6.28 | | cv | 0.669 | | sampleLengths | | 0 | 11 | | 1 | 24 | | 2 | 22 | | 3 | 16 | | 4 | 15 | | 5 | 1 | | 6 | 4 | | 7 | 20 | | 8 | 6 | | 9 | 7 | | 10 | 1 | | 11 | 1 | | 12 | 7 | | 13 | 15 | | 14 | 8 | | 15 | 12 | | 16 | 8 | | 17 | 5 | | 18 | 8 | | 19 | 6 | | 20 | 4 | | 21 | 7 | | 22 | 7 | | 23 | 10 | | 24 | 4 | | 25 | 1 | | 26 | 7 | | 27 | 6 | | 28 | 9 | | 29 | 16 | | 30 | 34 | | 31 | 11 | | 32 | 12 | | 33 | 7 | | 34 | 10 | | 35 | 8 | | 36 | 1 | | 37 | 2 | | 38 | 8 | | 39 | 3 | | 40 | 6 | | 41 | 16 | | 42 | 14 | | 43 | 14 | | 44 | 9 | | 45 | 5 | | 46 | 1 | | 47 | 6 | | 48 | 5 | | 49 | 16 |
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| 51.09% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.32160804020100503 | | totalSentences | 199 | | uniqueOpeners | 64 | |
| 90.09% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 185 | | matches | | 0 | "At least one resident of" | | 1 | "Then your eyes went full" | | 2 | "Then I met you." | | 3 | "Then you pushed me away." | | 4 | "Instead you left me with" |
| | ratio | 0.027 | |
| 40.54% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 83 | | totalSentences | 185 | | matches | | 0 | "Her voice emerged flat." | | 1 | "She gripped the door edge" | | 2 | "His shoulders shifted inside the" | | 3 | "She blocked the doorway with" | | 4 | "You don’t get to call" | | 5 | "He tapped the cane once" | | 6 | "I never walked out." | | 7 | "You vanished before the sun" | | 8 | "His heterochromatic gaze dropped to" | | 9 | "Her pulse hammered against her" | | 10 | "She exhaled through her nose" | | 11 | "She threw the deadbolts home" | | 12 | "He set the cane against" | | 13 | "His height forced him to" | | 14 | "You buried yourself in research." | | 15 | "She crossed to the narrow" | | 16 | "Her hands shook." | | 17 | "We had one rule." | | 18 | "I told you to run." | | 19 | "He stayed by the books" |
| | ratio | 0.449 | |
| 60.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 148 | | totalSentences | 185 | | matches | | 0 | "The door swung inward after" | | 1 | "Aurora stood framed in the" | | 2 | "Lucien leaned there in his" | | 3 | "The tabby cat Ptolemy wound" | | 4 | "Her voice emerged flat." | | 5 | "She gripped the door edge" | | 6 | "Lucien met her stare without" | | 7 | "His shoulders shifted inside the" | | 8 | "She blocked the doorway with" | | 9 | "The cramped flat stretched behind" | | 10 | "Notes covered the kitchen counter" | | 11 | "The smell of curry from" | | 12 | "You don’t get to call" | | 13 | "He tapped the cane once" | | 14 | "The sound echoed down the" | | 15 | "I never walked out." | | 16 | "You vanished before the sun" | | 17 | "His heterochromatic gaze dropped to" | | 18 | "The word left her mouth" | | 19 | "Her pulse hammered against her" |
| | ratio | 0.8 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 185 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 73 | | technicalSentenceCount | 3 | | matches | | 0 | "The scar on her wrist throbbed with phantom pain from a childhood fall that had nothing to do with him and everything to do with why she distrusted easy promise…" | | 1 | "Their bodies were close enough that she caught the scent of him, smoke and cinnamon and something darker that belonged only to his father’s realm." | | 2 | "His arms tightened around her, lifting her slightly as if she weighed nothing." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |