| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 36 | | tagDensity | 0.194 | | leniency | 0.389 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 81.13% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1060 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "very" | | 1 | "suddenly" | | 2 | "really" | | 3 | "gently" |
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| 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) | |
| 33.96% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1060 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "chaotic" | | 1 | "scanned" | | 2 | "silence" | | 3 | "unspoken" | | 4 | "profound" | | 5 | "weight" | | 6 | "whisper" | | 7 | "glistening" | | 8 | "familiar" | | 9 | "traced" | | 10 | "reminder" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
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| | highlights | | 0 | "clenched fist" | | 1 | "hung in the air" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 70 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 70 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 95 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1057 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 727 | | uniqueNames | 7 | | maxNameDensity | 2.2 | | worstName | "Eva" | | maxWindowNameDensity | 4 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 16 | | Ptolemy | 1 | | Rory | 14 | | Cardiff | 1 | | London | 1 | | Brick | 1 | | Lane | 1 |
| | persons | | | places | | 0 | "Cardiff" | | 1 | "London" | | 2 | "Brick" | | 3 | "Lane" |
| | globalScore | 0.4 | | windowScore | 0.333 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like a collection of antique dagge" | | 1 | "looked like very important maps, blinked" | | 2 | "felt like a slow suffocation" |
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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 | 1057 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 95 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 26.43 | | std | 19.38 | | cv | 0.733 | | sampleLengths | | 0 | 63 | | 1 | 35 | | 2 | 4 | | 3 | 51 | | 4 | 67 | | 5 | 21 | | 6 | 51 | | 7 | 5 | | 8 | 10 | | 9 | 29 | | 10 | 46 | | 11 | 24 | | 12 | 43 | | 13 | 6 | | 14 | 39 | | 15 | 5 | | 16 | 51 | | 17 | 41 | | 18 | 22 | | 19 | 1 | | 20 | 52 | | 21 | 40 | | 22 | 43 | | 23 | 5 | | 24 | 43 | | 25 | 3 | | 26 | 2 | | 27 | 3 | | 28 | 2 | | 29 | 32 | | 30 | 19 | | 31 | 35 | | 32 | 16 | | 33 | 33 | | 34 | 2 | | 35 | 51 | | 36 | 15 | | 37 | 7 | | 38 | 14 | | 39 | 26 |
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| 95.24% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 70 | | matches | | 0 | "was pulled" | | 1 | "were stacked" | | 2 | "were pinned" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 116 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 95 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 730 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, paper-filled bubble." |
| | adverbCount | 29 | | adverbRatio | 0.03972602739726028 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.015068493150684932 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 95 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 95 | | mean | 11.13 | | std | 9.77 | | cv | 0.878 | | sampleLengths | | 0 | 5 | | 1 | 3 | | 2 | 11 | | 3 | 11 | | 4 | 18 | | 5 | 15 | | 6 | 8 | | 7 | 27 | | 8 | 4 | | 9 | 16 | | 10 | 22 | | 11 | 4 | | 12 | 9 | | 13 | 4 | | 14 | 35 | | 15 | 28 | | 16 | 11 | | 17 | 10 | | 18 | 26 | | 19 | 11 | | 20 | 14 | | 21 | 5 | | 22 | 6 | | 23 | 4 | | 24 | 20 | | 25 | 5 | | 26 | 2 | | 27 | 2 | | 28 | 12 | | 29 | 2 | | 30 | 3 | | 31 | 12 | | 32 | 17 | | 33 | 21 | | 34 | 3 | | 35 | 12 | | 36 | 31 | | 37 | 6 | | 38 | 39 | | 39 | 5 | | 40 | 10 | | 41 | 41 | | 42 | 3 | | 43 | 13 | | 44 | 12 | | 45 | 13 | | 46 | 7 | | 47 | 15 | | 48 | 1 | | 49 | 6 |
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| 35.26% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.2736842105263158 | | totalSentences | 95 | | uniqueOpeners | 26 | |
| 53.76% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 62 | | matches | | | ratio | 0.016 | |
| 90.97% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 62 | | matches | | 0 | "She held a cardboard box," | | 1 | "She had a smear of" | | 2 | "She nudged the door shut" | | 3 | "She scanned the room." | | 4 | "She crossed her arms, a" | | 5 | "She turned, and the cool," | | 6 | "She wouldn’t give it voice." | | 7 | "She sank into a worn" | | 8 | "Her voice was a whisper" | | 9 | "It was the piece Rory" | | 10 | "She didn’t sit." | | 11 | "She just stood there, looking" | | 12 | "She reached out, her fingers" | | 13 | "she said, her voice softer" | | 14 | "Her eyes traced the lines" | | 15 | "She didn’t pull away." | | 16 | "She let her hand stay" | | 17 | "It wasn’t heavy with unsaid" | | 18 | "It was quiet." | | 19 | "Her touch was warm, familiar." |
| | ratio | 0.323 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 62 | | matches | | 0 | "The first deadbolt thunked open." | | 1 | "The third, the stiffest, scraped" | | 2 | "The door swung inward, revealing" | | 3 | "Rory stood there, her delivery" | | 4 | "She held a cardboard box," | | 5 | "Eva blinked, her face a" | | 6 | "She had a smear of" | | 7 | "Rory stepped past her, into" | | 8 | "She nudged the door shut" | | 9 | "The sound was final." | | 10 | "A lock turning on more" | | 11 | "She scanned the room." | | 12 | "Books were stacked in teetering" | | 13 | "A fat tabby cat, Ptolemy," | | 14 | "Eva’s voice was low, cautious" | | 15 | "She crossed her arms, a" | | 16 | "Rory placed the food box" | | 17 | "She turned, and the cool," | | 18 | "The exhaustion of the day," | | 19 | "Eva flinched, a barely perceptible" |
| | ratio | 0.984 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 91.84% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 2 | | matches | | 0 | "The exhaustion of the day, the weariness that went bone-deep, settled into her features." | | 1 | "Her eyes traced the lines of exhaustion on Rory’s face, the new wariness in her bright blue eyes that hadn’t been there before London." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 2 | | matches | | 0 | "Eva’s gaze dropped, to a scroll covered in spidery, archaic script" | | 1 | "she said, her voice softer now" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 36 | | tagDensity | 0.028 | | leniency | 0.056 | | rawRatio | 0 | | effectiveRatio | 0 | |