| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 131 | | tagDensity | 0.084 | | leniency | 0.168 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.45% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1960 | | 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) | |
| 77.04% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1960 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "charm" | | 1 | "weight" | | 2 | "silence" | | 3 | "structure" |
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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 | 121 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 121 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 241 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 55 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1959 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 31 | | unquotedAttributions | 0 | | matches | (empty) | |
| 80.23% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 48 | | wordCount | 1075 | | uniqueNames | 13 | | maxNameDensity | 1.4 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 14 | | Moreau | 1 | | Cardiff | 1 | | University | 1 | | Eva | 6 | | Rory | 1 | | French | 1 | | London | 1 | | Aurora | 15 | | Brick | 1 | | Lane | 1 | | Formica | 1 | | Ptolemy | 4 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Eva" | | 3 | "Rory" | | 4 | "Aurora" | | 5 | "Ptolemy" |
| | places | | 0 | "Cardiff" | | 1 | "London" | | 2 | "Brick" | | 3 | "Lane" |
| | globalScore | 0.802 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 82 | | 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 | 1959 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 241 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 193 | | mean | 10.15 | | std | 10.49 | | cv | 1.033 | | sampleLengths | | 0 | 20 | | 1 | 37 | | 2 | 16 | | 3 | 1 | | 4 | 1 | | 5 | 7 | | 6 | 4 | | 7 | 31 | | 8 | 3 | | 9 | 3 | | 10 | 1 | | 11 | 11 | | 12 | 26 | | 13 | 6 | | 14 | 4 | | 15 | 1 | | 16 | 1 | | 17 | 6 | | 18 | 11 | | 19 | 12 | | 20 | 29 | | 21 | 2 | | 22 | 15 | | 23 | 3 | | 24 | 2 | | 25 | 29 | | 26 | 23 | | 27 | 4 | | 28 | 11 | | 29 | 13 | | 30 | 1 | | 31 | 20 | | 32 | 8 | | 33 | 20 | | 34 | 6 | | 35 | 10 | | 36 | 20 | | 37 | 4 | | 38 | 11 | | 39 | 20 | | 40 | 5 | | 41 | 4 | | 42 | 17 | | 43 | 4 | | 44 | 3 | | 45 | 12 | | 46 | 49 | | 47 | 21 | | 48 | 4 | | 49 | 11 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 121 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 184 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 2 | | flaggedSentences | 3 | | totalSentences | 241 | | ratio | 0.012 | | matches | | 0 | "Beneath the landing’s bare bulb, his charm had survived the journey; his tailoring had not." | | 1 | "Aurora slid the blade from her own hand—when had she picked up the kitchen scissors?—and placed them beside the needle." | | 2 | "His breath caught; the cane tipped over and struck the rug." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1081 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.030527289546716005 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.005550416281221091 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 241 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 241 | | mean | 8.13 | | std | 6.87 | | cv | 0.845 | | sampleLengths | | 0 | 20 | | 1 | 4 | | 2 | 15 | | 3 | 18 | | 4 | 4 | | 5 | 8 | | 6 | 4 | | 7 | 1 | | 8 | 1 | | 9 | 7 | | 10 | 4 | | 11 | 22 | | 12 | 9 | | 13 | 3 | | 14 | 3 | | 15 | 1 | | 16 | 11 | | 17 | 4 | | 18 | 6 | | 19 | 16 | | 20 | 6 | | 21 | 4 | | 22 | 1 | | 23 | 1 | | 24 | 6 | | 25 | 11 | | 26 | 12 | | 27 | 7 | | 28 | 13 | | 29 | 9 | | 30 | 2 | | 31 | 4 | | 32 | 11 | | 33 | 3 | | 34 | 2 | | 35 | 7 | | 36 | 13 | | 37 | 9 | | 38 | 13 | | 39 | 10 | | 40 | 4 | | 41 | 11 | | 42 | 13 | | 43 | 1 | | 44 | 7 | | 45 | 13 | | 46 | 8 | | 47 | 20 | | 48 | 6 | | 49 | 10 |
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| 51.31% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.3278008298755187 | | totalSentences | 241 | | uniqueOpeners | 79 | |
| 90.09% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 111 | | matches | | 0 | "Somewhere below, the restaurant’s front" | | 1 | "Only when she had taped" | | 2 | "Then her fingers slid into" |
| | ratio | 0.027 | |
| 72.25% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 41 | | totalSentences | 111 | | matches | | 0 | "His ivory-handled cane took more" | | 1 | "He lifted his head." | | 2 | "His gaze moved over her" | | 3 | "She kept her hand on" | | 4 | "She stepped back." | | 5 | "He crossed the threshold without" | | 6 | "She shot all three deadbolts," | | 7 | "She cleared a tower of" | | 8 | "His cane remained within reach," | | 9 | "His eyebrows rose." | | 10 | "He removed his jacket, revealing" | | 11 | "His shoulders had once fit" | | 12 | "She gave her fingers colder" | | 13 | "She cleaned the wound." | | 14 | "His thumb covered the small" | | 15 | "He released her at once." | | 16 | "It did not have the" | | 17 | "It made no sound on" | | 18 | "She finished the stitches." | | 19 | "Her hands stopped under the" |
| | ratio | 0.369 | |
| 36.58% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 94 | | totalSentences | 111 | | matches | | 0 | "The door opened on Lucien" | | 1 | "Aurora stared at him." | | 2 | "His ivory-handled cane took more" | | 3 | "He lifted his head." | | 4 | "The other remained black." | | 5 | "His gaze moved over her" | | 6 | "Something warm disturbed the careful" | | 7 | "A drop of blood fell" | | 8 | "Aurora looked past him." | | 9 | "The stairs descended into curry-scented" | | 10 | "Lucien’s fingers shifted around his" | | 11 | "She kept her hand on" | | 12 | "None had involved his blood" | | 13 | "The politeness decided her." | | 14 | "Lucien only remembered manners when" | | 15 | "She stepped back." | | 16 | "He crossed the threshold without" | | 17 | "Aurora peered down the stairwell" | | 18 | "She shot all three deadbolts," | | 19 | "Ptolemy uncoiled himself from a" |
| | ratio | 0.847 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 111 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 1 | | matches | | 0 | "His thumb covered the small crescent scar on her left wrist, the pale curve fitting beneath it with an accuracy that made her arm go still." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 131 | | tagDensity | 0.069 | | leniency | 0.137 | | rawRatio | 0.111 | | effectiveRatio | 0.015 | |