| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1357 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 48.42% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1357 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "pulsed" | | 1 | "warmth" | | 2 | "throbbed" | | 3 | "etched" | | 4 | "silence" | | 5 | "traced" | | 6 | "pulse" | | 7 | "quickened" | | 8 | "resolved" | | 9 | "comforting" | | 10 | "measured" | | 11 | "echo" |
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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 | 108 | | matches | (empty) | |
| 76.72% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 4 | | hedgeCount | 1 | | narrationSentences | 108 | | 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 | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1352 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 1348 | | uniqueNames | 8 | | maxNameDensity | 0.67 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Carter | 1 | | Golden | 1 | | Empress | 1 | | Richmond | 2 | | Park | 1 | | Cardiff | 2 | | Answers | 1 | | Aurora | 9 |
| | persons | | 0 | "Carter" | | 1 | "Empress" | | 2 | "Aurora" |
| | places | | 0 | "Golden" | | 1 | "Richmond" | | 2 | "Park" | | 3 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 88 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.74 | | wordCount | 1352 | | matches | | 0 | "not painfully, but enough to make her pause" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 109 | | matches | | |
| 53.58% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 13 | | mean | 104 | | std | 35.1 | | cv | 0.338 | | sampleLengths | | 0 | 152 | | 1 | 129 | | 2 | 134 | | 3 | 115 | | 4 | 87 | | 5 | 2 | | 6 | 96 | | 7 | 97 | | 8 | 124 | | 9 | 108 | | 10 | 103 | | 11 | 123 | | 12 | 82 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 108 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 217 | | matches | (empty) | |
| 64.22% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 109 | | ratio | 0.028 | | matches | | 0 | "Time moved differently here—she had read the old park notices and the half-remembered local stories—and the silence confirmed it." | | 1 | "She had come for this, whatever it was—some confirmation that the trinket belonged to the place rather than to some forgotten benefactor who might still watch from the streets." | | 2 | "The rest—the altered spacing of the stones, the following rustle, the single minute on her watch—pushed at the edges of her vision like a tide." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 126 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 3 | | adverbRatio | 0.023809523809523808 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.007936507936507936 | |
| 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 | 12.4 | | std | 7.46 | | cv | 0.601 | | sampleLengths | | 0 | 22 | | 1 | 15 | | 2 | 25 | | 3 | 22 | | 4 | 21 | | 5 | 23 | | 6 | 24 | | 7 | 17 | | 8 | 17 | | 9 | 27 | | 10 | 19 | | 11 | 6 | | 12 | 5 | | 13 | 19 | | 14 | 2 | | 15 | 8 | | 16 | 9 | | 17 | 10 | | 18 | 16 | | 19 | 18 | | 20 | 21 | | 21 | 7 | | 22 | 13 | | 23 | 21 | | 24 | 10 | | 25 | 9 | | 26 | 9 | | 27 | 9 | | 28 | 2 | | 29 | 4 | | 30 | 15 | | 31 | 6 | | 32 | 5 | | 33 | 16 | | 34 | 7 | | 35 | 18 | | 36 | 4 | | 37 | 29 | | 38 | 21 | | 39 | 7 | | 40 | 3 | | 41 | 22 | | 42 | 24 | | 43 | 5 | | 44 | 5 | | 45 | 2 | | 46 | 14 | | 47 | 6 | | 48 | 7 | | 49 | 9 |
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| 45.41% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.27522935779816515 | | totalSentences | 109 | | uniqueOpeners | 30 | |
| 33.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 101 | | matches | | 0 | "Only the flowers shifted, one" |
| | ratio | 0.01 | |
| 65.54% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 101 | | matches | | 0 | "She had followed that warmth" | | 1 | "She told herself it was" | | 2 | "She checked the watch on" | | 3 | "She had left the park" | | 4 | "She let it drop and" | | 5 | "Her breath left white in" | | 6 | "She walked toward the center," | | 7 | "Its surface felt warm under" | | 8 | "She pulled her hand away" | | 9 | "She told herself it was" | | 10 | "She continued forward, keeping the" | | 11 | "She had come for this," | | 12 | "It held for three breaths" | | 13 | "Her fingers found the scar" | | 14 | "She lifted her voice anyway." | | 15 | "She walked on, quicker now," | | 16 | "She checked her watch again." | | 17 | "She retraced her steps." | | 18 | "She halted and the sound" | | 19 | "She counted her steps aloud" |
| | ratio | 0.386 | |
| 14.46% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 90 | | totalSentences | 101 | | matches | | 0 | "Aurora Carter moved through the" | | 1 | "The pendant at her throat" | | 2 | "She had followed that warmth" | | 3 | "The restaurant's late calls had" | | 4 | "Tonight it throbbed steadily, leading" | | 5 | "She told herself it was" | | 6 | "Answers about the silver chain" | | 7 | "The clearing opened ahead of" | | 8 | "Moonlight caught on the standing" | | 9 | "Time moved differently here—she had" | | 10 | "She checked the watch on" | | 11 | "She had left the park" | | 12 | "The numbers sat steady, but" | | 13 | "Aurora stepped farther in, boots" | | 14 | "The pendant flared again, not" | | 15 | "The gem caught the moon" | | 16 | "She let it drop and" | | 17 | "Another weaved toward the far" | | 18 | "Her breath left white in" | | 19 | "She walked toward the center," |
| | ratio | 0.891 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 101 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 60 | | technicalSentenceCount | 3 | | matches | | 0 | "The clearing opened ahead of her, carpeted in wildflowers that had no business blooming in early autumn." | | 1 | "She had come for this, whatever it was—some confirmation that the trinket belonged to the place rather than to some forgotten benefactor who might still watch f…" | | 2 | "Aurora had left worse tightness behind her in Cardiff, the kind that waited behind doors and in phone messages." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |