| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 38 | | tagDensity | 0.211 | | leniency | 0.421 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.25% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1053 | | 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) | |
| 76.26% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1053 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "reminder" | | 1 | "weight" | | 2 | "tension" | | 3 | "warmth" | | 4 | "silence" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 74 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 74 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 104 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1049 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 67.91% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 670 | | uniqueNames | 10 | | maxNameDensity | 1.64 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Brick | 1 | | Lane | 1 | | Eva | 5 | | Moreau | 1 | | Marseille | 1 | | Ptolemy | 4 | | Avaros | 1 | | Lucien | 6 | | Silas | 1 | | Rory | 11 |
| | persons | | 0 | "Eva" | | 1 | "Moreau" | | 2 | "Ptolemy" | | 3 | "Lucien" | | 4 | "Silas" | | 5 | "Rory" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Marseille" |
| | globalScore | 0.679 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 39 | | 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 | 1049 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 104 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 22.8 | | std | 16.14 | | cv | 0.708 | | sampleLengths | | 0 | 67 | | 1 | 5 | | 2 | 16 | | 3 | 35 | | 4 | 5 | | 5 | 5 | | 6 | 56 | | 7 | 10 | | 8 | 16 | | 9 | 5 | | 10 | 58 | | 11 | 11 | | 12 | 24 | | 13 | 8 | | 14 | 29 | | 15 | 31 | | 16 | 11 | | 17 | 49 | | 18 | 44 | | 19 | 5 | | 20 | 14 | | 21 | 18 | | 22 | 30 | | 23 | 19 | | 24 | 16 | | 25 | 37 | | 26 | 34 | | 27 | 19 | | 28 | 6 | | 29 | 24 | | 30 | 34 | | 31 | 52 | | 32 | 33 | | 33 | 1 | | 34 | 5 | | 35 | 28 | | 36 | 40 | | 37 | 8 | | 38 | 13 | | 39 | 13 | | 40 | 8 | | 41 | 23 | | 42 | 10 | | 43 | 17 | | 44 | 25 | | 45 | 32 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 74 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 111 | | matches | (empty) | |
| 87.91% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 104 | | ratio | 0.019 | | matches | | 0 | "Not Eva’s rhythm—Eva hammered with her palm, impatient and loud." | | 1 | "The ivory cane in his left hand tapped once against the doorframe—sharp, deliberate—before he lowered it." |
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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 | 11 | | adverbRatio | 0.016272189349112426 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0014792899408284023 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 104 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 104 | | mean | 10.09 | | std | 7.15 | | cv | 0.708 | | sampleLengths | | 0 | 12 | | 1 | 33 | | 2 | 8 | | 3 | 14 | | 4 | 5 | | 5 | 10 | | 6 | 3 | | 7 | 3 | | 8 | 5 | | 9 | 22 | | 10 | 4 | | 11 | 2 | | 12 | 2 | | 13 | 5 | | 14 | 5 | | 15 | 10 | | 16 | 9 | | 17 | 16 | | 18 | 16 | | 19 | 5 | | 20 | 6 | | 21 | 4 | | 22 | 13 | | 23 | 3 | | 24 | 5 | | 25 | 15 | | 26 | 13 | | 27 | 3 | | 28 | 5 | | 29 | 22 | | 30 | 11 | | 31 | 19 | | 32 | 5 | | 33 | 8 | | 34 | 15 | | 35 | 14 | | 36 | 4 | | 37 | 11 | | 38 | 16 | | 39 | 11 | | 40 | 9 | | 41 | 3 | | 42 | 22 | | 43 | 15 | | 44 | 17 | | 45 | 5 | | 46 | 22 | | 47 | 5 | | 48 | 14 | | 49 | 2 |
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| 54.17% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.33653846153846156 | | totalSentences | 104 | | uniqueOpeners | 35 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 70 | | matches | (empty) | | ratio | 0 | |
| 88.57% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 70 | | matches | | 0 | "She reached for the chain," | | 1 | "She pulled the door open." | | 2 | "His charcoal suit looked cut" | | 3 | "She didn’t step back." | | 4 | "His voice carried the low" | | 5 | "She kept her hand near" | | 6 | "He turned, the blade concealed" | | 7 | "His heterochromatic gaze swept the" | | 8 | "She moved past him into" | | 9 | "His movements were precise, tailor-made." | | 10 | "She glanced at her wrist," | | 11 | "She had pulled back then." | | 12 | "He had let her." | | 13 | "he said, straightening" | | 14 | "She walked to the window." | | 15 | "Her reflection in the glass" | | 16 | "He stepped closer" | | 17 | "She faced him." | | 18 | "She could smell the cedar," | | 19 | "His amber eye caught the" |
| | ratio | 0.329 | |
| 17.14% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 70 | | matches | | 0 | "Rory twisted the final deadbolt," | | 1 | "Eva’s flat hung like a" | | 2 | "Ptolemy, Eva’s tabby, watched from" | | 3 | "A knock rattled the wood." | | 4 | "This was precise." | | 5 | "Rory’s bright blue eyes narrowed." | | 6 | "She reached for the chain," | | 7 | "The first deadbolt slid." | | 8 | "She pulled the door open." | | 9 | "Lucien Moreau filled the stairwell." | | 10 | "His charcoal suit looked cut" | | 11 | "The ivory cane in his" | | 12 | "Rain clung to his shoulders." | | 13 | "She didn’t step back." | | 14 | "His voice carried the low" | | 15 | "Ptolemy hissed from the sofa." | | 16 | "Lucien crossed the threshold without" | | 17 | "Rory shut the door behind" | | 18 | "The flat shrank." | | 19 | "Books seemed to lean closer." |
| | ratio | 0.886 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 70 | | matches | (empty) | | ratio | 0 | |
| 91.84% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 2 | | matches | | 0 | "The air thickened with the scent of cedar and something darker, something that belonged to the realm of Avaros in his blood." | | 1 | "Rory reached past him and pulled a scroll from the table, unrolling it with hands that did not shake, though her heart hammered against her ribs." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 38 | | tagDensity | 0.053 | | leniency | 0.105 | | rawRatio | 0 | | effectiveRatio | 0 | |