| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 32 | | tagDensity | 0.125 | | leniency | 0.25 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.77% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1181 | | 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) | |
| 15.33% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1181 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "traced" | | 1 | "chill" | | 2 | "pulsed" | | 3 | "comforting" | | 4 | "footfall" | | 5 | "whisper" | | 6 | "almost alive" | | 7 | "pulse" | | 8 | "pumping" | | 9 | "silence" | | 10 | "scanning" | | 11 | "rhythmic" | | 12 | "footsteps" | | 13 | "measured" | | 14 | "warmth" |
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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 | 75 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 75 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 103 | | 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 | 1181 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 910 | | uniqueNames | 9 | | maxNameDensity | 1.43 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | December | 1 | | Heartstone | 1 | | Rory | 13 | | London | 1 | | Fae | 2 | | Grove | 3 | | Nyx | 9 | | Seer | 2 | | Isolde | 3 |
| | persons | | 0 | "December" | | 1 | "Rory" | | 2 | "Nyx" | | 3 | "Isolde" |
| | places | | | globalScore | 0.786 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 1 | | matches | | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.54 | | wordCount | 1181 | | matches | | 0 | "Not temperature, not wind, but something fundamental shifted in the space between one footf" | | 1 | "not wind, but something fundamental shifted in the space between one footf" | | 2 | "not unpleasant, but heavy with scent" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 103 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 25.13 | | std | 23.17 | | cv | 0.922 | | sampleLengths | | 0 | 55 | | 1 | 4 | | 2 | 31 | | 3 | 8 | | 4 | 1 | | 5 | 34 | | 6 | 74 | | 7 | 5 | | 8 | 47 | | 9 | 24 | | 10 | 4 | | 11 | 10 | | 12 | 70 | | 13 | 3 | | 14 | 18 | | 15 | 55 | | 16 | 4 | | 17 | 84 | | 18 | 5 | | 19 | 9 | | 20 | 11 | | 21 | 51 | | 22 | 20 | | 23 | 1 | | 24 | 75 | | 25 | 39 | | 26 | 3 | | 27 | 31 | | 28 | 45 | | 29 | 45 | | 30 | 3 | | 31 | 7 | | 32 | 1 | | 33 | 41 | | 34 | 10 | | 35 | 53 | | 36 | 5 | | 37 | 36 | | 38 | 16 | | 39 | 3 | | 40 | 6 | | 41 | 25 | | 42 | 4 | | 43 | 22 | | 44 | 21 | | 45 | 11 | | 46 | 51 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 75 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 138 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 103 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 890 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.016853932584269662 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0011235955056179776 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 103 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 103 | | mean | 11.47 | | std | 8.1 | | cv | 0.707 | | sampleLengths | | 0 | 19 | | 1 | 22 | | 2 | 14 | | 3 | 4 | | 4 | 21 | | 5 | 10 | | 6 | 8 | | 7 | 1 | | 8 | 7 | | 9 | 3 | | 10 | 17 | | 11 | 7 | | 12 | 15 | | 13 | 28 | | 14 | 21 | | 15 | 4 | | 16 | 6 | | 17 | 5 | | 18 | 19 | | 19 | 12 | | 20 | 4 | | 21 | 12 | | 22 | 11 | | 23 | 13 | | 24 | 4 | | 25 | 10 | | 26 | 17 | | 27 | 24 | | 28 | 7 | | 29 | 22 | | 30 | 3 | | 31 | 18 | | 32 | 7 | | 33 | 5 | | 34 | 4 | | 35 | 19 | | 36 | 20 | | 37 | 4 | | 38 | 27 | | 39 | 10 | | 40 | 2 | | 41 | 2 | | 42 | 7 | | 43 | 18 | | 44 | 18 | | 45 | 5 | | 46 | 5 | | 47 | 4 | | 48 | 11 | | 49 | 28 |
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| 44.98% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.33980582524271846 | | totalSentences | 103 | | uniqueOpeners | 35 | |
| 49.02% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 68 | | matches | | 0 | "Instead, a hum lived beneath" |
| | ratio | 0.015 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 68 | | matches | | 0 | "They tilted their head, listening" | | 1 | "She blinked, and the park" | | 2 | "They swayed on their own," | | 3 | "They reached for one of" | | 4 | "It turned toward their touch" | | 5 | "She pulled it out, the" | | 6 | "She stood, wiping soil from" | | 7 | "Her palms came away clean." | | 8 | "She looked closer at the" | | 9 | "They followed the spiral." | | 10 | "She couldn't tell if it" | | 11 | "She knelt beside one, a" | | 12 | "She drew the blade." | | 13 | "She watched one bud pulse" | | 14 | "She stepped back." |
| | ratio | 0.221 | |
| 40.88% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 68 | | matches | | 0 | "The standing stones rose from" | | 1 | "Rory traced her fingers along" | | 2 | "The Heartstone pendant against her" | | 3 | "Nyx coalesced from the shadow" | | 4 | "They tilted their head, listening" | | 5 | "Rory stepped between two of" | | 6 | "The air changed." | | 7 | "She blinked, and the park" | | 8 | "The clearing spread before them," | | 9 | "Flowers carpeted the ground in" | | 10 | "They swayed on their own," | | 11 | "Nyx moved past her, their" | | 12 | "They reached for one of" | | 13 | "The blossom didn't wilt." | | 14 | "It turned toward their touch" | | 15 | "Nyx's whisper carried despite the" | | 16 | "Rory crouched, her delivery jacket" | | 17 | "The soil beneath the flowers" | | 18 | "The pendant flared warm against" | | 19 | "She pulled it out, the" |
| | ratio | 0.838 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 68 | | matches | (empty) | | ratio | 0 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 3 | | matches | | 0 | "Soft, diffuse, it seemed to emanate from the wildflowers themselves, the air thick with the sweetness of jasmine and something else, something that tasted silve…" | | 1 | "Instead, a hum lived beneath the silence, a single sustained note that existed at the edge of hearing." | | 2 | "Pale lavender eyes found Rory's blue ones, and the woman smiled without warmth or cold, a smile that existed for its own sake." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | 0 | "Nyx turned, those violet eyes scanning the treeline" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 32 | | tagDensity | 0.031 | | leniency | 0.063 | | rawRatio | 0 | | effectiveRatio | 0 | |