| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 95.54% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1120 | | 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) | |
| 19.64% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1120 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "weight" | | 1 | "familiar" | | 2 | "scanning" | | 3 | "pulsed" | | 4 | "loomed" | | 5 | "chill" | | 6 | "could feel" | | 7 | "grave" | | 8 | "shimmered" | | 9 | "flickered" | | 10 | "vibrated" | | 11 | "structure" | | 12 | "echoed" | | 13 | "scanned" | | 14 | "trembled" |
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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 | 178 | | matches | (empty) | |
| 94.70% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 4 | | hedgeCount | 2 | | narrationSentences | 178 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 178 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 18 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1120 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 29.46% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 71 | | wordCount | 1120 | | uniqueNames | 14 | | maxNameDensity | 2.41 | | worstName | "Aurora" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Aurora" | | discoveredNames | | Heartstone | 3 | | Pendant | 1 | | Fae-Forged | 1 | | Blade | 1 | | Half-Fae | 1 | | Richmond | 1 | | Park | 1 | | Veil | 3 | | Shade | 2 | | Isolde | 13 | | Aurora | 27 | | Gluttony | 1 | | Fae | 3 | | Nyx | 13 |
| | persons | | 0 | "Heartstone" | | 1 | "Pendant" | | 2 | "Blade" | | 3 | "Half-Fae" | | 4 | "Veil" | | 5 | "Isolde" | | 6 | "Aurora" | | 7 | "Fae" | | 8 | "Nyx" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Shade" |
| | globalScore | 0.295 | | windowScore | 0.5 | |
| 36.36% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 88 | | glossingSentenceCount | 4 | | matches | | 0 | "sounded like dry leaves skittering over pa" | | 1 | "looked like oil on water, swirling in pat" | | 2 | "looked like people, but wrong" | | 3 | "looked like human eyes" |
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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 | 1120 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 178 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 89 | | mean | 12.58 | | std | 10.08 | | cv | 0.801 | | sampleLengths | | 0 | 53 | | 1 | 32 | | 2 | 7 | | 3 | 18 | | 4 | 37 | | 5 | 38 | | 6 | 33 | | 7 | 12 | | 8 | 10 | | 9 | 2 | | 10 | 14 | | 11 | 6 | | 12 | 27 | | 13 | 7 | | 14 | 8 | | 15 | 14 | | 16 | 6 | | 17 | 6 | | 18 | 24 | | 19 | 25 | | 20 | 8 | | 21 | 5 | | 22 | 9 | | 23 | 2 | | 24 | 36 | | 25 | 26 | | 26 | 2 | | 27 | 9 | | 28 | 5 | | 29 | 11 | | 30 | 5 | | 31 | 8 | | 32 | 24 | | 33 | 25 | | 34 | 1 | | 35 | 15 | | 36 | 16 | | 37 | 1 | | 38 | 15 | | 39 | 3 | | 40 | 4 | | 41 | 14 | | 42 | 26 | | 43 | 19 | | 44 | 5 | | 45 | 16 | | 46 | 10 | | 47 | 3 | | 48 | 6 | | 49 | 26 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 178 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 215 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 178 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1125 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.020444444444444446 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.0044444444444444444 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 178 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 178 | | mean | 6.29 | | std | 3.43 | | cv | 0.545 | | sampleLengths | | 0 | 9 | | 1 | 13 | | 2 | 14 | | 3 | 17 | | 4 | 11 | | 5 | 10 | | 6 | 11 | | 7 | 2 | | 8 | 5 | | 9 | 10 | | 10 | 8 | | 11 | 10 | | 12 | 11 | | 13 | 8 | | 14 | 8 | | 15 | 5 | | 16 | 16 | | 17 | 17 | | 18 | 11 | | 19 | 7 | | 20 | 15 | | 21 | 4 | | 22 | 8 | | 23 | 4 | | 24 | 6 | | 25 | 2 | | 26 | 6 | | 27 | 8 | | 28 | 6 | | 29 | 8 | | 30 | 3 | | 31 | 4 | | 32 | 12 | | 33 | 2 | | 34 | 5 | | 35 | 8 | | 36 | 7 | | 37 | 7 | | 38 | 6 | | 39 | 6 | | 40 | 5 | | 41 | 14 | | 42 | 5 | | 43 | 3 | | 44 | 9 | | 45 | 13 | | 46 | 8 | | 47 | 5 | | 48 | 5 | | 49 | 4 |
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| 42.70% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.2303370786516854 | | totalSentences | 178 | | uniqueOpeners | 41 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 159 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 44 | | totalSentences | 159 | | matches | | 0 | "She adjusted the strap of" | | 1 | "Their form shifted constantly, edges" | | 2 | "It sounded like dry leaves" | | 3 | "She pulled the Fae-Forged Blade" | | 4 | "They marked the edge of" | | 5 | "It pulsed faster, a warning" | | 6 | "We are walking into a" | | 7 | "She needed answers." | | 8 | "She could feel the pressure" | | 9 | "Her expression remained serene, ageless." | | 10 | "You know where we are" | | 11 | "I know where the hunger" | | 12 | "She stepped carefully, avoiding the" | | 13 | "Their violet eyes dimmed." | | 14 | "They passed the first stone." | | 15 | "It looked like oil on" | | 16 | "She pulled it out from" | | 17 | "She looked at Isolde." | | 18 | "She walked toward the shimmer." | | 19 | "Her bare feet left no" |
| | ratio | 0.277 | |
| 7.17% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 144 | | totalSentences | 159 | | matches | | 0 | "Aurora pushed aside a curtain" | | 1 | "The air inside the circle" | | 2 | "She adjusted the strap of" | | 3 | "The Heartstone Pendant pressed against" | | 4 | "Nyx trailed behind her, a" | | 5 | "Their form shifted constantly, edges" | | 6 | "Violet eyes tracked the ground," | | 7 | "The boundary won't hold forever." | | 8 | "Nyx's voice drifted on the" | | 9 | "It sounded like dry leaves" | | 10 | "Aurora stepped over a root" | | 11 | "The bark pulsed with a" | | 12 | "She pulled the Fae-Forged Blade" | | 13 | "The moonsilver edge hummed, cold" | | 14 | "Isolde walked ahead without sound." | | 15 | "The Half-Fae paused at the" | | 16 | "The standing stones loomed ahead," | | 17 | "They marked the edge of" | | 18 | "The pendant flared crimson." | | 19 | "Heat radiated through the fabric" |
| | ratio | 0.906 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 159 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 1 | | matches | | 0 | "Her eyes held a depth of sorrow that spanned centuries." |
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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 | |