| 12.50% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 3 | | adverbTags | | 0 | "Isolde said serenely [serenely]" | | 1 | "she said slowly [slowly]" | | 2 | "she asked quietly [quietly]" |
| | dialogueSentences | 32 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.188 | | effectiveRatio | 0.188 | |
| 76.42% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1060 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slowly" | | 1 | "slightly" | | 2 | "quickly" | | 3 | "very" |
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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) | |
| 76.42% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1060 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "warmth" | | 1 | "flickered" | | 2 | "pulsed" |
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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 | 67 | | matches | (empty) | |
| 78.89% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 67 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 82 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1060 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 74.51% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 861 | | uniqueNames | 14 | | maxNameDensity | 1.51 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Sheen | 1 | | Gate | 1 | | Road | 1 | | Isolde | 9 | | December | 1 | | Aurora | 13 | | Nyx | 6 | | Shade | 1 | | Fae-forged | 1 | | Heartstone | 1 | | Hel | 1 | | October | 1 |
| | persons | | 0 | "Isolde" | | 1 | "Aurora" | | 2 | "Nyx" | | 3 | "Shade" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Sheen" | | 3 | "Gate" | | 4 | "Road" | | 5 | "Hel" |
| | globalScore | 0.745 | | windowScore | 0.833 | |
| 45.83% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 2 | | matches | | 0 | "spiral that seemed to shift when she looked away, though she could never catch it moving" | | 1 | "not quite the sky above, a sky the colour of wine held up to a window" |
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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 | 1060 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 82 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 32.12 | | std | 30.34 | | cv | 0.944 | | sampleLengths | | 0 | 68 | | 1 | 38 | | 2 | 53 | | 3 | 6 | | 4 | 12 | | 5 | 72 | | 6 | 12 | | 7 | 71 | | 8 | 11 | | 9 | 5 | | 10 | 2 | | 11 | 16 | | 12 | 107 | | 13 | 17 | | 14 | 60 | | 15 | 8 | | 16 | 8 | | 17 | 21 | | 18 | 88 | | 19 | 5 | | 20 | 15 | | 21 | 4 | | 22 | 9 | | 23 | 85 | | 24 | 44 | | 25 | 6 | | 26 | 25 | | 27 | 13 | | 28 | 6 | | 29 | 10 | | 30 | 87 | | 31 | 40 | | 32 | 36 |
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| 94.79% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 67 | | matches | | 0 | "was gone" | | 1 | "was threaded" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 155 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 82 | | ratio | 0 | | matches | (empty) | |
| 92.50% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 863 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 36 | | adverbRatio | 0.04171494785631518 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.012746234067207415 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 82 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 82 | | mean | 12.93 | | std | 8.91 | | cv | 0.689 | | sampleLengths | | 0 | 14 | | 1 | 35 | | 2 | 19 | | 3 | 9 | | 4 | 20 | | 5 | 9 | | 6 | 7 | | 7 | 5 | | 8 | 34 | | 9 | 7 | | 10 | 6 | | 11 | 12 | | 12 | 12 | | 13 | 29 | | 14 | 7 | | 15 | 18 | | 16 | 6 | | 17 | 8 | | 18 | 4 | | 19 | 10 | | 20 | 21 | | 21 | 15 | | 22 | 12 | | 23 | 13 | | 24 | 8 | | 25 | 3 | | 26 | 5 | | 27 | 2 | | 28 | 16 | | 29 | 7 | | 30 | 28 | | 31 | 13 | | 32 | 31 | | 33 | 8 | | 34 | 20 | | 35 | 5 | | 36 | 12 | | 37 | 6 | | 38 | 11 | | 39 | 31 | | 40 | 12 | | 41 | 3 | | 42 | 5 | | 43 | 8 | | 44 | 11 | | 45 | 10 | | 46 | 12 | | 47 | 26 | | 48 | 8 | | 49 | 17 |
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| 78.46% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.5 | | totalSentences | 82 | | uniqueOpeners | 41 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 57 | | matches | | 0 | "Then Isolde stepped between two" | | 1 | "Somewhere behind the oaks, something" |
| | ratio | 0.035 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 57 | | matches | | 0 | "She had not turned around." | | 1 | "Her silver hair moved down" | | 2 | "Their violet eyes drifted across" | | 3 | "It was not the sharp" | | 4 | "She frowned and touched it" | | 5 | "Its petals were cool and" | | 6 | "She stared at it, then" | | 7 | "she said slowly" | | 8 | "They turned their head, and" | | 9 | "Her pendant pulsed once, brighter," | | 10 | "she asked quietly" | | 11 | "Her answer, when it came," | | 12 | "They reached the centre of" | | 13 | "It did not dim or" | | 14 | "It simply shifted, the way" | | 15 | "Her reflection looked back, pale" | | 16 | "She didn't speak." |
| | ratio | 0.298 | |
| 38.95% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 48 | | totalSentences | 57 | | matches | | 0 | "The frost had not yet" | | 1 | "Aurora could still hear the" | | 2 | "Aurora followed without thinking, then" | | 3 | "The gap between the stones" | | 4 | "She had not turned around." | | 5 | "Her silver hair moved down" | | 6 | "The Shade's silhouette thinned at" | | 7 | "Their violet eyes drifted across" | | 8 | "Nyx murmured, and the voice" | | 9 | "Isolde said serenely" | | 10 | "Aurora kept her hand near" | | 11 | "The Fae-forged blade lay cold" | | 12 | "It was not the sharp" | | 13 | "This was softer, a slow" | | 14 | "She frowned and touched it" | | 15 | "The ground underfoot changed as" | | 16 | "The hard, damp earth of" | | 17 | "Violets, white anemones, a blue" | | 18 | "Foxglove stood in tall pink" | | 19 | "Bees moved among the blossoms," |
| | ratio | 0.842 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 57 | | matches | (empty) | | ratio | 0 | |
| 58.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 4 | | matches | | 0 | "The Fae-forged blade lay cold against her palm even through her coat, a cold that did not fade with her warmth." | | 1 | "Foxglove stood in tall pink spires beside the roots of trees whose leaves were still full and gold, as though it were October in some other country and summer i…" | | 2 | "In the middle lay a pool so still it might have been glass, reflecting a sky that was not quite the sky above, a sky the colour of wine held up to a window." | | 3 | "Somewhere behind the oaks, something that might have been a bird began to sing, and the song seemed to go on far longer than any bird's breath should allow." |
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| 93.75% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 1 | | matches | | 0 | "Nyx murmured, and the voice was like wind moving through dry leaves" |
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| 56.25% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 3 | | fancyTags | | 0 | "Nyx murmured (murmur)" | | 1 | "Isolde agreed (agree)" | | 2 | "Aurora muttered (mutter)" |
| | dialogueSentences | 32 | | tagDensity | 0.438 | | leniency | 0.875 | | rawRatio | 0.214 | | effectiveRatio | 0.188 | |