| 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 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1160 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 69.83% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1160 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "traced" | | 1 | "weight" | | 2 | "chill" | | 3 | "warmth" | | 4 | "silence" | | 5 | "familiar" | | 6 | "aligned" |
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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 | 110 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 110 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 110 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1160 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 1152 | | uniqueNames | 11 | | maxNameDensity | 0.78 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Cardiff | 1 | | Avaros | 1 | | Brick | 1 | | Lane | 1 | | London | 2 | | East | 1 | | Golden | 1 | | Empress | 1 | | Aurora | 9 | | Ptolemy | 4 | | Lucien | 8 |
| | persons | | 0 | "Empress" | | 1 | "Aurora" | | 2 | "Ptolemy" | | 3 | "Lucien" |
| | places | | 0 | "Cardiff" | | 1 | "Brick" | | 2 | "Lane" | | 3 | "London" | | 4 | "East" | | 5 | "Golden" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 96 | | 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 | 1160 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 110 | | matches | | |
| 51.08% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 30.53 | | std | 10.04 | | cv | 0.329 | | sampleLengths | | 0 | 57 | | 1 | 45 | | 2 | 7 | | 3 | 44 | | 4 | 24 | | 5 | 40 | | 6 | 32 | | 7 | 17 | | 8 | 33 | | 9 | 22 | | 10 | 19 | | 11 | 40 | | 12 | 39 | | 13 | 27 | | 14 | 22 | | 15 | 38 | | 16 | 41 | | 17 | 33 | | 18 | 18 | | 19 | 30 | | 20 | 40 | | 21 | 16 | | 22 | 25 | | 23 | 33 | | 24 | 22 | | 25 | 35 | | 26 | 49 | | 27 | 37 | | 28 | 28 | | 29 | 35 | | 30 | 27 | | 31 | 25 | | 32 | 25 | | 33 | 33 | | 34 | 32 | | 35 | 23 | | 36 | 23 | | 37 | 24 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 110 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 192 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 110 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 942 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.016985138004246284 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 110 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 110 | | mean | 10.55 | | std | 4.62 | | cv | 0.438 | | sampleLengths | | 0 | 11 | | 1 | 30 | | 2 | 16 | | 3 | 5 | | 4 | 9 | | 5 | 6 | | 6 | 9 | | 7 | 16 | | 8 | 7 | | 9 | 6 | | 10 | 20 | | 11 | 18 | | 12 | 8 | | 13 | 9 | | 14 | 7 | | 15 | 12 | | 16 | 7 | | 17 | 21 | | 18 | 13 | | 19 | 4 | | 20 | 15 | | 21 | 11 | | 22 | 6 | | 23 | 8 | | 24 | 11 | | 25 | 14 | | 26 | 7 | | 27 | 11 | | 28 | 4 | | 29 | 8 | | 30 | 11 | | 31 | 11 | | 32 | 7 | | 33 | 14 | | 34 | 8 | | 35 | 14 | | 36 | 8 | | 37 | 17 | | 38 | 8 | | 39 | 2 | | 40 | 3 | | 41 | 14 | | 42 | 8 | | 43 | 14 | | 44 | 12 | | 45 | 11 | | 46 | 15 | | 47 | 11 | | 48 | 17 | | 49 | 13 |
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| 42.73% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.2909090909090909 | | totalSentences | 110 | | uniqueOpeners | 32 | |
| 30.58% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 109 | | matches | | 0 | "Then the departure left the" |
| | ratio | 0.009 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 109 | | matches | | 0 | "His charcoal suit covered the" | | 1 | "Her arms folded across her" | | 2 | "It carries markings from my" | | 3 | "His free hand reached inside" | | 4 | "She took the paper and" | | 5 | "Her shoulder-length black hair fell" | | 6 | "He was meant to stay" | | 7 | "Your old ties place you" | | 8 | "His weight shifted to one" | | 9 | "You disappeared after the night" | | 10 | "I focused on deliveries and" | | 11 | "His hand rested on the" | | 12 | "She kept her back to" | | 13 | "I lacked words for the" | | 14 | "His cane remained behind." | | 15 | "She faced the room again" | | 16 | "I handle my past." | | 17 | "You return for the object" | | 18 | "Your quick handling of deliveries" | | 19 | "We travel to the bar" |
| | ratio | 0.257 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 101 | | totalSentences | 109 | | matches | | 0 | "Aurora pulled the door open" | | 1 | "The hallway bulb cast a" | | 2 | "Ptolemy the tabby lifted his" | | 3 | "Lucien stood in the opening." | | 4 | "His charcoal suit covered the" | | 5 | "Platinum hair stayed slicked into" | | 6 | "The ivory cane tip rested" | | 7 | "Her arms folded across her" | | 8 | "The movement drew the sleeve" | | 9 | "Curry scents drifted upward from" | | 10 | "The matter pulled me back" | | 11 | "A packet arrived through your" | | 12 | "It carries markings from my" | | 13 | "Lucien crossed into the space" | | 14 | "The cane tapped once on" | | 15 | "His free hand reached inside" | | 16 | "Aurora turned to the table" | | 17 | "Piles shifted and settled." | | 18 | "Ptolemy jumped down and circled" | | 19 | "Ev an signed for it" |
| | ratio | 0.927 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 109 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 57 | | technicalSentenceCount | 2 | | matches | | 0 | "The fixer's role demands distance from attachments that weaken focus." | | 1 | "The realm connection through my father adds layers that require explanation once the immediate risk passes." |
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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 | |