| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 6 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.40% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1388 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 60.37% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1388 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "echo" | | 1 | "warmth" | | 2 | "pulse" | | 3 | "throb" | | 4 | "weight" | | 5 | "pulsed" | | 6 | "silence" | | 7 | "resolve" | | 8 | "lilt" |
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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 | 97 | | matches | (empty) | |
| 98.67% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 97 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 101 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 66 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1391 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 1371 | | uniqueNames | 8 | | maxNameDensity | 0.36 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Celtic | 1 | | Cardiff | 2 | | Eva | 3 | | Richmond | 1 | | Park | 1 | | Golden | 1 | | Empress | 1 | | Rory | 5 |
| | persons | | | places | | 0 | "Cardiff" | | 1 | "Richmond" | | 2 | "Park" | | 3 | "Golden" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | 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 | 1391 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 101 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 37.59 | | std | 28.28 | | cv | 0.752 | | sampleLengths | | 0 | 18 | | 1 | 91 | | 2 | 35 | | 3 | 20 | | 4 | 2 | | 5 | 38 | | 6 | 76 | | 7 | 18 | | 8 | 1 | | 9 | 49 | | 10 | 6 | | 11 | 55 | | 12 | 63 | | 13 | 17 | | 14 | 12 | | 15 | 49 | | 16 | 2 | | 17 | 64 | | 18 | 4 | | 19 | 79 | | 20 | 4 | | 21 | 67 | | 22 | 4 | | 23 | 32 | | 24 | 59 | | 25 | 32 | | 26 | 2 | | 27 | 79 | | 28 | 35 | | 29 | 94 | | 30 | 12 | | 31 | 85 | | 32 | 49 | | 33 | 14 | | 34 | 46 | | 35 | 37 | | 36 | 41 |
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| 94.41% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 97 | | matches | | 0 | "been worn" | | 1 | "been carved" | | 2 | "been gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 211 | | matches | (empty) | |
| 86.28% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 101 | | ratio | 0.02 | | matches | | 0 | "Every other sound she'd made since stepping past the stones had come back at her — footfalls, the click of her boot on flint, her own breath — but the name sank into the ground and stopped." | | 1 | "The sound stopped with her — the drag and hush of weight moving through stems." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1375 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 37 | | adverbRatio | 0.02690909090909091 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0014545454545454545 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 101 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 101 | | mean | 13.77 | | std | 14.69 | | cv | 1.066 | | sampleLengths | | 0 | 18 | | 1 | 25 | | 2 | 32 | | 3 | 2 | | 4 | 2 | | 5 | 30 | | 6 | 6 | | 7 | 29 | | 8 | 10 | | 9 | 7 | | 10 | 3 | | 11 | 2 | | 12 | 9 | | 13 | 12 | | 14 | 1 | | 15 | 3 | | 16 | 13 | | 17 | 17 | | 18 | 13 | | 19 | 11 | | 20 | 5 | | 21 | 30 | | 22 | 2 | | 23 | 10 | | 24 | 6 | | 25 | 1 | | 26 | 5 | | 27 | 7 | | 28 | 37 | | 29 | 6 | | 30 | 14 | | 31 | 2 | | 32 | 32 | | 33 | 3 | | 34 | 3 | | 35 | 1 | | 36 | 6 | | 37 | 29 | | 38 | 14 | | 39 | 14 | | 40 | 2 | | 41 | 15 | | 42 | 3 | | 43 | 2 | | 44 | 1 | | 45 | 6 | | 46 | 3 | | 47 | 1 | | 48 | 45 | | 49 | 2 |
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| 59.41% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.4158415841584158 | | totalSentences | 101 | | uniqueOpeners | 42 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 82 | | matches | | 0 | "Then the grove closed over" | | 1 | "Then a third, and she" | | 2 | "Away from the centre and" |
| | ratio | 0.037 | |
| 98.05% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 82 | | matches | | 0 | "She'd read about places like" | | 1 | "She hadn't come here for" | | 2 | "She'd come because Eva's voice" | | 3 | "It had been cool since" | | 4 | "Her own voice came out" | | 5 | "She pulled her phone from" | | 6 | "She'd expected nothing." | | 7 | "She raised the screen anyway" | | 8 | "It did not give back" | | 9 | "She moved off between the" | | 10 | "She counted again." | | 11 | "She locked her knees so" | | 12 | "It lasted less than a" | | 13 | "Her phone screen died." | | 14 | "She slapped the side of" | | 15 | "She shoved it away and" | | 16 | "She was sure of it." | | 17 | "She had walked a straight" | | 18 | "She said it the way" | | 19 | "She pressed her thumb into" |
| | ratio | 0.305 | |
| 75.85% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 82 | | matches | | 0 | "Rory pushed through the last" | | 1 | "Wildflowers caught the moon in" | | 2 | "She'd read about places like" | | 3 | "The kind of place where" | | 4 | "She hadn't come here for" | | 5 | "She'd come because Eva's voice" | | 6 | "The pendant sat against her" | | 7 | "It had been cool since" | | 8 | "Her own voice came out" | | 9 | "She pulled her phone from" | | 10 | "She'd expected nothing." | | 11 | "She raised the screen anyway" | | 12 | "Oak, she thought, though the" | | 13 | "Moss furred their flanks and" | | 14 | "The flower heads hung dead" | | 15 | "The oaks she'd walked through" | | 16 | "The grove took the name." | | 17 | "It did not give back" | | 18 | "Every other sound she'd made" | | 19 | "The pendant warmed against her" |
| | ratio | 0.768 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 82 | | matches | (empty) | | ratio | 0 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 3 | | matches | | 0 | "Not the steady room-temperature warmth of a thing that has been worn all day." | | 1 | "The sound had come from up among the standing stones, high as the height of a person sitting on their shoulders, and it was the giggling of a child who has hidd…" | | 2 | "She said it the way she said it to hungover customers at the Golden Empress who couldn't find their own wallets." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 6 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 0 | | effectiveRatio | 0 | |