| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 2 | | adverbTags | | 0 | "Eva said quietly [quietly]" | | 1 | "She smiled then [then]" |
| | dialogueSentences | 42 | | tagDensity | 0.357 | | leniency | 0.714 | | rawRatio | 0.133 | | effectiveRatio | 0.095 | |
| 86.29% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1094 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slowly" | | 1 | "truly" | | 2 | "carefully" |
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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) | |
| 58.87% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1094 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "familiar" | | 1 | "warmth" | | 2 | "weight" | | 3 | "lurch" | | 4 | "unreadable" | | 5 | "sense of" | | 6 | "measured" | | 7 | "silence" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "let out a breath" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 52 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 52 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 78 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1094 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 56.54% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 749 | | uniqueNames | 8 | | maxNameDensity | 1.87 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Rory | 14 | | Eva | 12 | | Silas | 2 | | Canton | 1 | | Golden | 1 | | Empress | 1 |
| | persons | | 0 | "Nest" | | 1 | "Rory" | | 2 | "Eva" | | 3 | "Silas" |
| | places | | | globalScore | 0.565 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 35 | | 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 | 1094 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 78 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 28.05 | | std | 24.42 | | cv | 0.87 | | sampleLengths | | 0 | 88 | | 1 | 49 | | 2 | 40 | | 3 | 1 | | 4 | 66 | | 5 | 3 | | 6 | 62 | | 7 | 38 | | 8 | 5 | | 9 | 22 | | 10 | 47 | | 11 | 33 | | 12 | 28 | | 13 | 4 | | 14 | 1 | | 15 | 3 | | 16 | 3 | | 17 | 69 | | 18 | 17 | | 19 | 2 | | 20 | 2 | | 21 | 58 | | 22 | 4 | | 23 | 12 | | 24 | 38 | | 25 | 57 | | 26 | 6 | | 27 | 19 | | 28 | 12 | | 29 | 18 | | 30 | 17 | | 31 | 70 | | 32 | 22 | | 33 | 2 | | 34 | 64 | | 35 | 10 | | 36 | 37 | | 37 | 18 | | 38 | 47 |
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| 91.77% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 52 | | matches | | 0 | "being looked" | | 1 | "being measured" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 121 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 78 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 753 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.03851261620185923 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.009296148738379814 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 78 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 78 | | mean | 14.03 | | std | 11.74 | | cv | 0.837 | | sampleLengths | | 0 | 26 | | 1 | 21 | | 2 | 41 | | 3 | 10 | | 4 | 6 | | 5 | 3 | | 6 | 30 | | 7 | 40 | | 8 | 1 | | 9 | 6 | | 10 | 35 | | 11 | 10 | | 12 | 15 | | 13 | 3 | | 14 | 18 | | 15 | 3 | | 16 | 5 | | 17 | 22 | | 18 | 14 | | 19 | 7 | | 20 | 27 | | 21 | 4 | | 22 | 5 | | 23 | 15 | | 24 | 7 | | 25 | 22 | | 26 | 25 | | 27 | 5 | | 28 | 28 | | 29 | 22 | | 30 | 6 | | 31 | 4 | | 32 | 1 | | 33 | 3 | | 34 | 3 | | 35 | 34 | | 36 | 7 | | 37 | 28 | | 38 | 7 | | 39 | 10 | | 40 | 2 | | 41 | 2 | | 42 | 17 | | 43 | 41 | | 44 | 4 | | 45 | 8 | | 46 | 4 | | 47 | 7 | | 48 | 7 | | 49 | 24 |
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| 55.13% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.4230769230769231 | | totalSentences | 78 | | uniqueOpeners | 33 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 46 | | matches | | 0 | "Then it did, all at" | | 1 | "Somewhere behind them the gas" | | 2 | "Instead she said," |
| | ratio | 0.065 | |
| 72.17% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 46 | | matches | | 0 | "She pushed through the door" | | 1 | "He didn't ask about the" | | 2 | "He never did." | | 3 | "He slid a glass of" | | 4 | "She took the stool at" | | 5 | "She set the glass down" | | 6 | "It took a second for" | | 7 | "She looked older." | | 8 | "Her face had settled into" | | 9 | "Her hands were bare of" | | 10 | "She laughed, a little breathless" | | 11 | "He gave Rory one long" | | 12 | "She hated that she recognised" | | 13 | "She hated more that she" | | 14 | "Her throat was tight" | | 15 | "She smiled, then faltered" | | 16 | "She thought of the flat" |
| | ratio | 0.37 | |
| 46.96% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 38 | | totalSentences | 46 | | matches | | 0 | "The sign outside the Raven's" | | 1 | "Tonight she noticed it, the" | | 2 | "She pushed through the door" | | 3 | "Silas lifted his chin at" | | 4 | "He didn't ask about the" | | 5 | "He never did." | | 6 | "He slid a glass of" | | 7 | "She took the stool at" | | 8 | "Rory did not turn right" | | 9 | "She set the glass down" | | 10 | "It took a second for" | | 11 | "Eva crossed the room in" | | 12 | "She looked older." | | 13 | "Her face had settled into" | | 14 | "Her hands were bare of" | | 15 | "She laughed, a little breathless" | | 16 | "Eva pulled out the stool" | | 17 | "Silas had moved down the" | | 18 | "He gave Rory one long" | | 19 | "Rory's fingers found the thin" |
| | ratio | 0.826 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 46 | | matches | (empty) | | ratio | 0 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 2 | | matches | | 0 | "He slid a glass of sparkling water across the wood and went back to polishing a tumbler with the slow care of a man who had nowhere else to be." | | 1 | "Rory looked at the bookshelf, at the unmarked spine of a book that concealed a door, at the old maps curling at their edges, at the life she had built out of sc…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 42 | | tagDensity | 0.238 | | leniency | 0.476 | | rawRatio | 0.1 | | effectiveRatio | 0.048 | |