| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 1 | | adverbTags | | 0 | "She gestured around [around]" |
| | dialogueSentences | 56 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0.042 | | effectiveRatio | 0.036 | |
| 95.86% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1209 | | totalAiIsmAdverbs | 1 | | 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) | |
| 54.51% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1209 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "weight" | | 1 | "flicker" | | 2 | "complex" | | 3 | "unspoken" | | 4 | "navigated" | | 5 | "whisper" | | 6 | "chill" | | 7 | "familiar" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 78 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 78 | | 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 | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1209 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 746 | | uniqueNames | 12 | | maxNameDensity | 0.67 | | worstName | "Silas" | | maxWindowNameDensity | 1 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Silas | 5 | | Carter | 1 | | Aurora | 2 | | Berlin | 1 | | Prague | 1 | | London | 2 | | Evan | 1 | | Malphora | 1 | | Rory | 1 | | Guinness | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Carter" | | 4 | "Aurora" | | 5 | "Evan" | | 6 | "Rory" |
| | places | | 0 | "Berlin" | | 1 | "Prague" | | 2 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed more pronounced" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1209 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 110 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 26.87 | | std | 18.38 | | cv | 0.684 | | sampleLengths | | 0 | 80 | | 1 | 53 | | 2 | 3 | | 3 | 35 | | 4 | 32 | | 5 | 15 | | 6 | 5 | | 7 | 56 | | 8 | 19 | | 9 | 44 | | 10 | 23 | | 11 | 50 | | 12 | 2 | | 13 | 27 | | 14 | 37 | | 15 | 18 | | 16 | 44 | | 17 | 13 | | 18 | 23 | | 19 | 16 | | 20 | 35 | | 21 | 14 | | 22 | 66 | | 23 | 13 | | 24 | 25 | | 25 | 18 | | 26 | 39 | | 27 | 32 | | 28 | 17 | | 29 | 24 | | 30 | 15 | | 31 | 26 | | 32 | 55 | | 33 | 9 | | 34 | 27 | | 35 | 16 | | 36 | 3 | | 37 | 21 | | 38 | 19 | | 39 | 6 | | 40 | 20 | | 41 | 1 | | 42 | 22 | | 43 | 23 | | 44 | 68 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 78 | | matches | (empty) | |
| 95.01% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 127 | | matches | | 0 | "was filing" | | 1 | "was watching" |
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| 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) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 750 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, crescent-shaped scar" |
| | adverbCount | 15 | | adverbRatio | 0.02 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.004 | |
| 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 | 10.99 | | std | 8.39 | | cv | 0.763 | | sampleLengths | | 0 | 18 | | 1 | 17 | | 2 | 12 | | 3 | 21 | | 4 | 9 | | 5 | 3 | | 6 | 14 | | 7 | 10 | | 8 | 11 | | 9 | 18 | | 10 | 3 | | 11 | 14 | | 12 | 6 | | 13 | 12 | | 14 | 3 | | 15 | 16 | | 16 | 5 | | 17 | 7 | | 18 | 4 | | 19 | 13 | | 20 | 2 | | 21 | 5 | | 22 | 42 | | 23 | 14 | | 24 | 5 | | 25 | 10 | | 26 | 4 | | 27 | 15 | | 28 | 29 | | 29 | 6 | | 30 | 13 | | 31 | 4 | | 32 | 9 | | 33 | 40 | | 34 | 1 | | 35 | 2 | | 36 | 27 | | 37 | 8 | | 38 | 23 | | 39 | 3 | | 40 | 3 | | 41 | 13 | | 42 | 5 | | 43 | 42 | | 44 | 2 | | 45 | 5 | | 46 | 8 | | 47 | 17 | | 48 | 6 | | 49 | 6 |
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| 59.70% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.39090909090909093 | | totalSentences | 110 | | uniqueOpeners | 43 | |
| 45.66% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 73 | | matches | | 0 | "Just quiet assessment." |
| | ratio | 0.014 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 73 | | matches | | 0 | "It was early, the after-work" | | 1 | "His shoulders were broader, carrying" | | 2 | "He turned, wiping his hands" | | 3 | "His hand, the one with" | | 4 | "He didn’t smile, but the" | | 5 | "She crossed the worn floorboards," | | 6 | "She slid onto a stool." | | 7 | "He placed a coaster in" | | 8 | "He moved with a practiced" | | 9 | "He set the dark bottle" | | 10 | "She took a long swallow." | | 11 | "He leaned on the bar," | | 12 | "He took a sip, his" | | 13 | "She watched for his reaction," | | 14 | "He said it like he" | | 15 | "She spun the bottle on" | | 16 | "She gestured around the bar" | | 17 | "He gave a dry, quiet" | | 18 | "She pointed her bottle at" | | 19 | "His expression closed off, like" |
| | ratio | 0.589 | |
| 1.10% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 67 | | totalSentences | 73 | | matches | | 0 | "The bell above the door" | | 1 | "Neither had the smell: stale" | | 2 | "Aurora Carter paused just inside," | | 3 | "The green neon glow from" | | 4 | "It was early, the after-work" | | 5 | "A lonely hour." | | 6 | "The grey in his auburn" | | 7 | "His shoulders were broader, carrying" | | 8 | "He turned, wiping his hands" | | 9 | "His hand, the one with" | | 10 | "A long breath passed through" | | 11 | "He didn’t smile, but the" | | 12 | "She crossed the worn floorboards," | | 13 | "She slid onto a stool." | | 14 | "The wood was cool beneath" | | 15 | "He placed a coaster in" | | 16 | "He moved with a practiced" | | 17 | "He set the dark bottle" | | 18 | "She took a long swallow." | | 19 | "The bitter taste was a" |
| | ratio | 0.918 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 73 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 1 | | matches | | 0 | "His shoulders were broader, carrying a new weight that wasn't muscle." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 6 | | matches | | 0 | "She crossed, the sound of her boots swallowed by the quiet" | | 1 | "He leaned, the light catching the worn edges of his ring" | | 2 | "He took, his gaze sharp over the rim of the glass" | | 3 | "She watched, a flicker of disappointment, of judgment" | | 4 | "he said, his voice low" | | 5 | "he said, his tone leaving no room for argument" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 56 | | tagDensity | 0.107 | | leniency | 0.214 | | rawRatio | 0.167 | | effectiveRatio | 0.036 | |