| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 91.39% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1162 | | totalAiIsmAdverbs | 2 | | 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) | |
| 1.03% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1162 | | totalAiIsms | 23 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | |
| | highlights | | 0 | "chill" | | 1 | "pulsed" | | 2 | "warmth" | | 3 | "fractured" | | 4 | "crystal" | | 5 | "cascading" | | 6 | "vibrated" | | 7 | "etched" | | 8 | "dance" | | 9 | "whisper" | | 10 | "echoed" | | 11 | "echo" | | 12 | "crystallized" | | 13 | "gloom" | | 14 | "trembled" | | 15 | "quivered" | | 16 | "velvet" | | 17 | "flickered" | | 18 | "shimmered" | | 19 | "resolved" | | 20 | "aligned" |
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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 | 168 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 168 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 168 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 22 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1162 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 85.46% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 1162 | | uniqueNames | 8 | | maxNameDensity | 1.29 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Heartstone | 2 | | Aurora | 15 | | Fae-forged | 1 | | Fae | 3 | | Hel-born | 1 | | Veil | 1 | | Nyx | 8 | | Cold | 3 |
| | persons | | 0 | "Aurora" | | 1 | "Veil" | | 2 | "Nyx" | | 3 | "Cold" |
| | places | (empty) | | globalScore | 0.855 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 83 | | glossingSentenceCount | 1 | | matches | | 0 | "not quite touch the stone" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1162 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 168 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 41.5 | | std | 22.01 | | cv | 0.53 | | sampleLengths | | 0 | 73 | | 1 | 50 | | 2 | 13 | | 3 | 48 | | 4 | 14 | | 5 | 16 | | 6 | 93 | | 7 | 68 | | 8 | 20 | | 9 | 40 | | 10 | 19 | | 11 | 46 | | 12 | 71 | | 13 | 31 | | 14 | 17 | | 15 | 7 | | 16 | 60 | | 17 | 44 | | 18 | 29 | | 19 | 47 | | 20 | 16 | | 21 | 58 | | 22 | 40 | | 23 | 64 | | 24 | 24 | | 25 | 32 | | 26 | 60 | | 27 | 62 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 168 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 223 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 168 | | ratio | 0 | | matches | (empty) | |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1168 | | adjectiveStacks | 2 | | stackExamples | | 0 | "half-solid, half-smoke." | | 1 | "beneath glass-clear water." |
| | adverbCount | 32 | | adverbRatio | 0.0273972602739726 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.009417808219178082 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 168 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 168 | | mean | 6.92 | | std | 4.54 | | cv | 0.656 | | sampleLengths | | 0 | 6 | | 1 | 17 | | 2 | 4 | | 3 | 3 | | 4 | 16 | | 5 | 12 | | 6 | 15 | | 7 | 11 | | 8 | 21 | | 9 | 7 | | 10 | 11 | | 11 | 2 | | 12 | 2 | | 13 | 9 | | 14 | 3 | | 15 | 15 | | 16 | 5 | | 17 | 11 | | 18 | 7 | | 19 | 4 | | 20 | 3 | | 21 | 2 | | 22 | 4 | | 23 | 3 | | 24 | 5 | | 25 | 4 | | 26 | 4 | | 27 | 8 | | 28 | 13 | | 29 | 2 | | 30 | 8 | | 31 | 15 | | 32 | 4 | | 33 | 2 | | 34 | 15 | | 35 | 15 | | 36 | 3 | | 37 | 16 | | 38 | 5 | | 39 | 10 | | 40 | 8 | | 41 | 3 | | 42 | 1 | | 43 | 8 | | 44 | 18 | | 45 | 8 | | 46 | 7 | | 47 | 1 | | 48 | 3 | | 49 | 4 |
| |
| 39.88% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.27380952380952384 | | totalSentences | 168 | | uniqueOpeners | 46 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 144 | | matches | (empty) | | ratio | 0 | |
| 92.22% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 46 | | totalSentences | 144 | | matches | | 0 | "It grew heavier." | | 1 | "It carried the scent of" | | 2 | "She brushed her thumb over" | | 3 | "Their form solidified at her" | | 4 | "They ran a palm along" | | 5 | "She drew the Fae-forged blade." | | 6 | "She dragged the tip across" | | 7 | "She followed the shadow toward" | | 8 | "It draped over terraced gardens" | | 9 | "She descended the first terrace." | | 10 | "She knelt, pressing two fingers" | | 11 | "It felt warm." | | 12 | "She brushed aside a layer" | | 13 | "She tapped the pendant." | | 14 | "It flared, bright enough to" | | 15 | "She drew a breath." | | 16 | "She moved deeper into the" | | 17 | "They sat heavy and dark," | | 18 | "Her thumb found the crescent" | | 19 | "She pressed it." |
| | ratio | 0.319 | |
| 5.14% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 131 | | totalSentences | 144 | | matches | | 0 | "The archway swallowed its own" | | 1 | "Aurora ducked beneath the lintel," | | 2 | "The air shifted immediately." | | 3 | "It grew heavier." | | 4 | "It carried the scent of" | | 5 | "She brushed her thumb over" | | 6 | "The crimson gem warmed instantly," | | 7 | "Nyx slipped through the stone" | | 8 | "Their form solidified at her" | | 9 | "They ran a palm along" | | 10 | "Shadow pooled beneath their fingers," | | 11 | "The voice brushed Aurora’s ear," | | 12 | "Aurora stepped forward." | | 13 | "The tunnel floor yielded slightly" | | 14 | "She drew the Fae-forged blade." | | 15 | "The silver steel stayed frost-cold," | | 16 | "She dragged the tip across" | | 17 | "Stone scratched without resistance." | | 18 | "Roots parted cleanly." | | 19 | "The right corridor drinks." |
| | ratio | 0.91 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 144 | | matches | (empty) | | ratio | 0 | |
| 93.02% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 3 | | matches | | 0 | "Their form solidified at her shoulder, violet eyes catching the dim amber light that bled through the cracked ceiling far above." | | 1 | "Beneath it lay carved stone, smooth and black, etched with spirals that shifted when she stared too long." | | 2 | "Its mouth opened wide, lined with translucent filaments that trembled in the still air." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |