| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 1 | | adverbTags | | 0 | "Delyth stood then [then]" |
| | dialogueSentences | 83 | | tagDensity | 0.289 | | leniency | 0.578 | | rawRatio | 0.042 | | effectiveRatio | 0.024 | |
| 92.24% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1288 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 80.59% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1288 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "stomach" | | 1 | "silence" | | 2 | "traced" | | 3 | "weight" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 50 | | matches | (empty) | |
| 85.71% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 50 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 109 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1289 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 25 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 600 | | uniqueNames | 7 | | maxNameDensity | 3.17 | | worstName | "Delyth" | | maxWindowNameDensity | 6 | | worstWindowName | "Delyth" | | discoveredNames | | Rory | 13 | | Nest | 1 | | Danube | 1 | | Delyth | 19 | | Silas | 3 | | Woodville | 1 | | Pontcanna | 1 |
| | persons | | 0 | "Rory" | | 1 | "Nest" | | 2 | "Delyth" | | 3 | "Silas" |
| | places | | 0 | "Danube" | | 1 | "Woodville" | | 2 | "Pontcanna" |
| | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 30 | | 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 | 1289 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 109 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 71 | | mean | 18.15 | | std | 19.33 | | cv | 1.065 | | sampleLengths | | 0 | 77 | | 1 | 10 | | 2 | 2 | | 3 | 37 | | 4 | 49 | | 5 | 8 | | 6 | 1 | | 7 | 52 | | 8 | 3 | | 9 | 40 | | 10 | 2 | | 11 | 22 | | 12 | 11 | | 13 | 3 | | 14 | 3 | | 15 | 21 | | 16 | 33 | | 17 | 5 | | 18 | 5 | | 19 | 57 | | 20 | 49 | | 21 | 7 | | 22 | 39 | | 23 | 2 | | 24 | 36 | | 25 | 5 | | 26 | 4 | | 27 | 3 | | 28 | 2 | | 29 | 32 | | 30 | 6 | | 31 | 8 | | 32 | 57 | | 33 | 26 | | 34 | 3 | | 35 | 28 | | 36 | 1 | | 37 | 1 | | 38 | 49 | | 39 | 9 | | 40 | 3 | | 41 | 30 | | 42 | 11 | | 43 | 1 | | 44 | 10 | | 45 | 50 | | 46 | 5 | | 47 | 9 | | 48 | 3 | | 49 | 2 |
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| 98.25% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 50 | | matches | | |
| 62.54% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 97 | | matches | | 0 | "was testing" | | 1 | "wasn't drinking" |
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| 90.43% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 109 | | ratio | 0.018 | | matches | | 0 | "\"It felt like one.\" Delyth's eyes were wet and she didn't wipe them, which was new; the old Delyth would have made a production of it, would have got everyone in the bar involved." | | 1 | "The crescent on her left wrist, white as a nail paring, older than either of them — the coal bunker, age seven, her mother's scream from the back step." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 600 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 9 | | adverbRatio | 0.015 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0033333333333333335 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 109 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 109 | | mean | 11.83 | | std | 11.26 | | cv | 0.952 | | sampleLengths | | 0 | 38 | | 1 | 1 | | 2 | 11 | | 3 | 27 | | 4 | 10 | | 5 | 2 | | 6 | 26 | | 7 | 11 | | 8 | 12 | | 9 | 13 | | 10 | 11 | | 11 | 13 | | 12 | 5 | | 13 | 3 | | 14 | 1 | | 15 | 43 | | 16 | 7 | | 17 | 2 | | 18 | 3 | | 19 | 25 | | 20 | 15 | | 21 | 2 | | 22 | 20 | | 23 | 2 | | 24 | 5 | | 25 | 4 | | 26 | 2 | | 27 | 3 | | 28 | 3 | | 29 | 18 | | 30 | 3 | | 31 | 18 | | 32 | 15 | | 33 | 5 | | 34 | 3 | | 35 | 2 | | 36 | 35 | | 37 | 5 | | 38 | 17 | | 39 | 7 | | 40 | 42 | | 41 | 7 | | 42 | 25 | | 43 | 14 | | 44 | 2 | | 45 | 17 | | 46 | 19 | | 47 | 5 | | 48 | 4 | | 49 | 3 |
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| 53.70% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.3611111111111111 | | totalSentences | 108 | | uniqueOpeners | 39 | |
| 85.47% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 39 | | matches | | 0 | "Then the laugh went out" |
| | ratio | 0.026 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 8 | | totalSentences | 39 | | matches | | 0 | "he said, without looking up" | | 1 | "He tipped his chin toward" | | 2 | "She turned, and Rory's stomach" | | 3 | "She smelled of something expensive" | | 4 | "She sat back down and" | | 5 | "She pulled out the stool" | | 6 | "She smiled at the bar" | | 7 | "She dropped it." |
| | ratio | 0.205 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 38 | | totalSentences | 39 | | matches | | 0 | "The green neon buzzed like" | | 1 | "The Nest held six people" | | 2 | "Silas stood at the taps" | | 3 | "he said, without looking up" | | 4 | "He tipped his chin toward" | | 5 | "The woman on the last" | | 6 | "Camel coat folded over her" | | 7 | "Blonde gone honey-dark at the" | | 8 | "She turned, and Rory's stomach" | | 9 | "Delyth stood, then didn't seem" | | 10 | "She smelled of something expensive" | | 11 | "She sat back down and" | | 12 | "Delyth put her hand flat" | | 13 | "Rory looked at the hand." | | 14 | "The ring on it." | | 15 | "She pulled out the stool" | | 16 | "Delyth's mouth twisted" | | 17 | "Silas set a glass of" | | 18 | "Rory drank half of it." | | 19 | "The room's low light did" |
| | ratio | 0.974 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 39 | | matches | (empty) | | ratio | 0 | |
| 95.24% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 15 | | technicalSentenceCount | 1 | | matches | | 0 | "Silas came past with a crate of empties, his weight going down and up on the bad knee, and set two clean glasses in front of them without asking." |
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| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 3 | | matches | | 0 | "he said, without looking up" | | 1 | "She pulled out, and the gin stayed where it was, between them, sweating" | | 2 | "Delyth stopped, lower" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 1 | | fancyTags | | 0 | "Delyth pressed (press)" |
| | dialogueSentences | 83 | | tagDensity | 0.12 | | leniency | 0.241 | | rawRatio | 0.1 | | effectiveRatio | 0.024 | |