| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 138 | | tagDensity | 0.007 | | leniency | 0.014 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.45% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1962 | | 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) | |
| 89.81% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1962 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "measured" | | 1 | "flickered" | | 2 | "solitary" | | 3 | "stark" |
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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 | 140 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 140 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 277 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1961 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 20 | | unquotedAttributions | 1 | | matches | | 0 | "In every version, Lucien explained himself until she found the lie." |
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| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 46 | | wordCount | 1205 | | uniqueNames | 6 | | maxNameDensity | 1.33 | | worstName | "Lucien" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 16 | | Moreau | 1 | | Ptolemy | 6 | | Rory | 15 | | Eva | 6 | | Silas | 2 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Ptolemy" | | 3 | "Rory" | | 4 | "Eva" | | 5 | "Silas" |
| | places | (empty) | | globalScore | 0.836 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 100 | | 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 | 1961 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 277 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 225 | | mean | 8.72 | | std | 9.01 | | cv | 1.034 | | sampleLengths | | 0 | 20 | | 1 | 8 | | 2 | 1 | | 3 | 18 | | 4 | 6 | | 5 | 7 | | 6 | 38 | | 7 | 5 | | 8 | 19 | | 9 | 11 | | 10 | 4 | | 11 | 18 | | 12 | 2 | | 13 | 3 | | 14 | 4 | | 15 | 3 | | 16 | 14 | | 17 | 35 | | 18 | 3 | | 19 | 27 | | 20 | 21 | | 21 | 2 | | 22 | 2 | | 23 | 6 | | 24 | 7 | | 25 | 8 | | 26 | 5 | | 27 | 31 | | 28 | 3 | | 29 | 2 | | 30 | 15 | | 31 | 14 | | 32 | 41 | | 33 | 10 | | 34 | 5 | | 35 | 6 | | 36 | 4 | | 37 | 3 | | 38 | 3 | | 39 | 26 | | 40 | 3 | | 41 | 5 | | 42 | 1 | | 43 | 7 | | 44 | 9 | | 45 | 29 | | 46 | 8 | | 47 | 3 | | 48 | 3 | | 49 | 2 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 140 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 222 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 2 | | flaggedSentences | 3 | | totalSentences | 277 | | ratio | 0.011 | | matches | | 0 | "Eva’s handwriting ran across the front: LUC—NO COURIERS." | | 1 | "One amber eye, one black; the same uneven gaze that had once followed her across Silas’s bar until she forgot which drinks she carried." | | 2 | "He had moved closer when he unfolded the handkerchief; their knees touched." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1211 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.018992568125516102 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0008257638315441783 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 277 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 277 | | mean | 7.08 | | std | 5.48 | | cv | 0.774 | | sampleLengths | | 0 | 20 | | 1 | 8 | | 2 | 1 | | 3 | 7 | | 4 | 11 | | 5 | 6 | | 6 | 7 | | 7 | 10 | | 8 | 7 | | 9 | 9 | | 10 | 3 | | 11 | 9 | | 12 | 5 | | 13 | 19 | | 14 | 11 | | 15 | 4 | | 16 | 7 | | 17 | 8 | | 18 | 3 | | 19 | 2 | | 20 | 3 | | 21 | 4 | | 22 | 3 | | 23 | 9 | | 24 | 5 | | 25 | 20 | | 26 | 2 | | 27 | 13 | | 28 | 3 | | 29 | 5 | | 30 | 14 | | 31 | 8 | | 32 | 9 | | 33 | 12 | | 34 | 2 | | 35 | 2 | | 36 | 6 | | 37 | 7 | | 38 | 8 | | 39 | 5 | | 40 | 11 | | 41 | 20 | | 42 | 3 | | 43 | 2 | | 44 | 6 | | 45 | 9 | | 46 | 14 | | 47 | 17 | | 48 | 4 | | 49 | 5 |
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| 46.39% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.2563176895306859 | | totalSentences | 277 | | uniqueOpeners | 71 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 133 | | matches | (empty) | | ratio | 0 | |
| 21.50% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 66 | | totalSentences | 133 | | matches | | 0 | "His ivory-handled cane rested against" | | 1 | "His platinum hair had come" | | 2 | "She hated noticing." | | 3 | "She hated the small impulse" | | 4 | "He lifted the envelope." | | 5 | "THEY BEND THINGS." | | 6 | "He bent to lay the" | | 7 | "He pointed up at them" | | 8 | "He entered without brushing against" | | 9 | "She shut the door, threw" | | 10 | "She put Ptolemy down." | | 11 | "He stayed there." | | 12 | "She filled it beyond the" | | 13 | "She took two mugs from" | | 14 | "His gaze moved to them." | | 15 | "She put one back." | | 16 | "His fingers left the coat" | | 17 | "She turned before she could" | | 18 | "He had no right to" | | 19 | "She gripped the counter behind" |
| | ratio | 0.496 | |
| 5.11% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 121 | | totalSentences | 133 | | matches | | 0 | "The door opened onto Lucien" | | 1 | "Rory kept her hand on" | | 2 | "His ivory-handled cane rested against" | | 3 | "Water gathered at its tip" | | 4 | "Lucien looked down, then back" | | 5 | "His platinum hair had come" | | 6 | "She hated noticing." | | 7 | "She hated the small impulse" | | 8 | "He lifted the envelope." | | 9 | "Rory looked at the red" | | 10 | "Eva’s handwriting ran across the" | | 11 | "THEY BEND THINGS." | | 12 | "He bent to lay the" | | 13 | "Ptolemy escaped over his shoe." | | 14 | "Rory caught the cat beneath" | | 15 | "A man shouted from downstairs," | | 16 | "Rory leaned past Lucien’s shoulder." | | 17 | "A delivery sack lay across" | | 18 | "He pointed up at them" | | 19 | "The owner disappeared beneath the" |
| | ratio | 0.91 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 133 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 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 | |