| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 47 | | tagDensity | 0.277 | | leniency | 0.553 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.57% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1590 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slightly" | | 1 | "slowly" | | 2 | "completely" |
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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) | |
| 84.28% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1590 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "pulse" | | 1 | "silk" | | 2 | "tracing" | | 3 | "crystal" | | 4 | "calculate" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "knuckles turned white" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 69 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 69 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 103 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 53 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 6 | | totalWords | 1589 | | ratio | 0.004 | | matches | | 0 | "Treitel on the Law of Contract" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 55 | | wordCount | 1005 | | uniqueNames | 30 | | maxNameDensity | 1.09 | | worstName | "Thomas" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Thomas" | | discoveredNames | | London | 1 | | Soho | 1 | | Raven | 1 | | Nest | 1 | | Admiralty | 1 | | North | 1 | | Sea | 1 | | Baltic | 1 | | Carter | 1 | | Golden | 1 | | Empress | 1 | | October | 1 | | Silas | 8 | | Blackwood | 1 | | Prague | 1 | | Rory | 1 | | South | 1 | | Wales | 1 | | Chancery | 1 | | Lane | 1 | | Cardiff | 2 | | Law | 1 | | Callow | 1 | | Hamburg | 1 | | Oxford | 1 | | Thomas | 11 | | Aurora | 8 | | City | 1 | | Wardour | 1 | | Street | 1 |
| | persons | | 0 | "Sea" | | 1 | "Carter" | | 2 | "Empress" | | 3 | "Silas" | | 4 | "Blackwood" | | 5 | "Rory" | | 6 | "Callow" | | 7 | "Thomas" | | 8 | "Aurora" |
| | places | | 0 | "London" | | 1 | "Soho" | | 2 | "Raven" | | 3 | "Golden" | | 4 | "Prague" | | 5 | "South" | | 6 | "Wales" | | 7 | "Chancery" | | 8 | "Lane" | | 9 | "Cardiff" | | 10 | "Law" | | 11 | "Hamburg" | | 12 | "Oxford" | | 13 | "Wardour" | | 14 | "Street" |
| | globalScore | 0.953 | | windowScore | 0.833 | |
| 66.67% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | glossingSentenceCount | 2 | | matches | | 0 | "as though expecting the floor to give way beneath his Oxford brogues" | | 1 | "tasted like ash on her tongue" |
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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 | 1589 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 103 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 62 | | mean | 25.63 | | std | 19.37 | | cv | 0.756 | | sampleLengths | | 0 | 57 | | 1 | 70 | | 2 | 56 | | 3 | 17 | | 4 | 45 | | 5 | 25 | | 6 | 1 | | 7 | 51 | | 8 | 23 | | 9 | 1 | | 10 | 18 | | 11 | 29 | | 12 | 8 | | 13 | 55 | | 14 | 31 | | 15 | 14 | | 16 | 52 | | 17 | 14 | | 18 | 27 | | 19 | 19 | | 20 | 7 | | 21 | 3 | | 22 | 23 | | 23 | 28 | | 24 | 48 | | 25 | 6 | | 26 | 3 | | 27 | 6 | | 28 | 35 | | 29 | 40 | | 30 | 10 | | 31 | 10 | | 32 | 83 | | 33 | 12 | | 34 | 53 | | 35 | 35 | | 36 | 3 | | 37 | 10 | | 38 | 10 | | 39 | 14 | | 40 | 16 | | 41 | 35 | | 42 | 2 | | 43 | 52 | | 44 | 3 | | 45 | 47 | | 46 | 24 | | 47 | 45 | | 48 | 46 | | 49 | 46 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 69 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 147 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 103 | | ratio | 0.01 | | matches | | 0 | "A gold signet ring, far thinner and more delicate than Silas's heavy silver band, rested on his pinky, bearing an engraved griffin—a university prize he’d bought for himself upon pupillage." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1012 | | adjectiveStacks | 1 | | stackExamples | | 0 | "cutting hard against her" |
| | adverbCount | 17 | | adverbRatio | 0.016798418972332016 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.004940711462450593 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 103 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 103 | | mean | 15.43 | | std | 9.91 | | cv | 0.642 | | sampleLengths | | 0 | 22 | | 1 | 17 | | 2 | 18 | | 3 | 21 | | 4 | 33 | | 5 | 16 | | 6 | 16 | | 7 | 13 | | 8 | 27 | | 9 | 4 | | 10 | 13 | | 11 | 17 | | 12 | 25 | | 13 | 3 | | 14 | 13 | | 15 | 12 | | 16 | 1 | | 17 | 29 | | 18 | 22 | | 19 | 5 | | 20 | 18 | | 21 | 1 | | 22 | 18 | | 23 | 29 | | 24 | 8 | | 25 | 11 | | 26 | 16 | | 27 | 9 | | 28 | 9 | | 29 | 10 | | 30 | 13 | | 31 | 18 | | 32 | 9 | | 33 | 5 | | 34 | 8 | | 35 | 21 | | 36 | 23 | | 37 | 14 | | 38 | 27 | | 39 | 19 | | 40 | 7 | | 41 | 3 | | 42 | 5 | | 43 | 18 | | 44 | 5 | | 45 | 23 | | 46 | 20 | | 47 | 28 | | 48 | 6 | | 49 | 3 |
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| 59.87% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.3883495145631068 | | totalSentences | 103 | | uniqueOpeners | 40 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 76.72% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 67 | | matches | | 0 | "He pivoted, favoring his right" | | 1 | "He smoothed back damp blonde" | | 2 | "His stride broke." | | 3 | "Her bright blue eyes caught" | | 4 | "He stepped toward the counter," | | 5 | "He placed the damp umbrella" | | 6 | "He looked pressed, stamped, and" | | 7 | "He rested two broad hands" | | 8 | "He fetched a heavy square" | | 9 | "She swallowed a mouthful, cool" | | 10 | "His eyes drifted over the" | | 11 | "he said, the words low," | | 12 | "He picked up his glass" | | 13 | "he said, staring into the" | | 14 | "he said, abandoning the thread" | | 15 | "He let out a short," | | 16 | "He leaned closer, the shadow" | | 17 | "he said, his voice dropping" | | 18 | "She set the tumbler down," | | 19 | "He didn't move." |
| | ratio | 0.358 | |
| 19.70% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 67 | | matches | | 0 | "The emerald neon sign over" | | 1 | "Aurora Carter perched on the" | | 2 | "The silver signet ring on" | | 3 | "He pivoted, favoring his right" | | 4 | "The brass latch dropped." | | 5 | "A tall man in a" | | 6 | "He smoothed back damp blonde" | | 7 | "His stride broke." | | 8 | "Aurora went motionless, the rim" | | 9 | "Her bright blue eyes caught" | | 10 | "The voice had shed its" | | 11 | "Thomas Callow stood beneath an" | | 12 | "Aurora set the glass down." | | 13 | "The crescent-shaped white scar on" | | 14 | "He stepped toward the counter," | | 15 | "Thomas pulled out the stool" | | 16 | "He placed the damp umbrella" | | 17 | "The coat smelled of cedar" | | 18 | "He looked pressed, stamped, and" | | 19 | "Silas drifted down the counter," |
| | ratio | 0.881 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 1 | | matches | | 0 | "He stepped toward the counter, hesitating, as though expecting the floor to give way beneath his Oxford brogues." |
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| 48.08% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 2 | | matches | | 0 | "he said, his voice dropping into the wood grain" | | 1 | "he said, his hand already on the brass latch" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 47 | | tagDensity | 0.213 | | leniency | 0.426 | | rawRatio | 0 | | effectiveRatio | 0 | |