| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 40 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 45 | | tagDensity | 0.889 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.72% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1167 | | 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) | |
| 22.88% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1167 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "pulsed" | | 1 | "rhythmic" | | 2 | "gloom" | | 3 | "oppressive" | | 4 | "scanned" | | 5 | "loomed" | | 6 | "marble" | | 7 | "echo" | | 8 | "vibrated" | | 9 | "grave" | | 10 | "flickered" | | 11 | "weight" | | 12 | "throbbed" | | 13 | "silence" |
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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 | 182 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 182 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 187 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 20 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1167 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 36 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 92 | | wordCount | 1005 | | uniqueNames | 9 | | maxNameDensity | 4.48 | | worstName | "Aurora" | | maxWindowNameDensity | 9.5 | | worstWindowName | "Aurora" | | discoveredNames | | Heartstone | 2 | | Pendant | 1 | | Aurora | 45 | | Shade | 4 | | Fae-Forged | 2 | | Blade | 2 | | Seer | 1 | | Isolde | 20 | | Nyx | 15 |
| | persons | | 0 | "Heartstone" | | 1 | "Pendant" | | 2 | "Aurora" | | 3 | "Shade" | | 4 | "Blade" | | 5 | "Seer" | | 6 | "Isolde" | | 7 | "Nyx" |
| | places | (empty) | | globalScore | 0 | | windowScore | 0 | |
| 79.58% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | glossingSentenceCount | 2 | | matches | | 0 | "shadows that seemed to breathe" | | 1 | "looked like bone" |
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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 | 1167 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 187 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 94 | | mean | 12.41 | | std | 11.22 | | cv | 0.904 | | sampleLengths | | 0 | 54 | | 1 | 31 | | 2 | 27 | | 3 | 48 | | 4 | 31 | | 5 | 55 | | 6 | 20 | | 7 | 34 | | 8 | 16 | | 9 | 28 | | 10 | 7 | | 11 | 18 | | 12 | 14 | | 13 | 15 | | 14 | 7 | | 15 | 5 | | 16 | 13 | | 17 | 6 | | 18 | 25 | | 19 | 8 | | 20 | 7 | | 21 | 8 | | 22 | 33 | | 23 | 15 | | 24 | 12 | | 25 | 10 | | 26 | 12 | | 27 | 3 | | 28 | 5 | | 29 | 36 | | 30 | 36 | | 31 | 7 | | 32 | 6 | | 33 | 24 | | 34 | 5 | | 35 | 6 | | 36 | 14 | | 37 | 6 | | 38 | 30 | | 39 | 4 | | 40 | 13 | | 41 | 8 | | 42 | 10 | | 43 | 13 | | 44 | 26 | | 45 | 14 | | 46 | 3 | | 47 | 5 | | 48 | 16 | | 49 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 182 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 220 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 187 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1007 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.016881827209533268 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0029791459781529296 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 187 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 187 | | mean | 6.24 | | std | 3.45 | | cv | 0.553 | | sampleLengths | | 0 | 8 | | 1 | 18 | | 2 | 8 | | 3 | 20 | | 4 | 8 | | 5 | 17 | | 6 | 6 | | 7 | 9 | | 8 | 8 | | 9 | 10 | | 10 | 12 | | 11 | 16 | | 12 | 20 | | 13 | 9 | | 14 | 13 | | 15 | 9 | | 16 | 8 | | 17 | 9 | | 18 | 11 | | 19 | 12 | | 20 | 15 | | 21 | 8 | | 22 | 7 | | 23 | 5 | | 24 | 6 | | 25 | 11 | | 26 | 9 | | 27 | 8 | | 28 | 8 | | 29 | 8 | | 30 | 2 | | 31 | 4 | | 32 | 9 | | 33 | 8 | | 34 | 5 | | 35 | 7 | | 36 | 2 | | 37 | 8 | | 38 | 8 | | 39 | 9 | | 40 | 5 | | 41 | 2 | | 42 | 6 | | 43 | 7 | | 44 | 7 | | 45 | 5 | | 46 | 4 | | 47 | 9 | | 48 | 6 | | 49 | 3 |
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| 42.51% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.21390374331550802 | | totalSentences | 187 | | uniqueOpeners | 40 | |
| 25.84% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 129 | | matches | | 0 | "Then a sound broke the" |
| | ratio | 0.008 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 129 | | matches | | 0 | "She touched the silver chain" | | 1 | "Her bare feet made no" | | 2 | "Their form solidified into a" | | 3 | "She sheathed the weapon at" | | 4 | "She kept her eyes on" | | 5 | "She examined the soil." | | 6 | "She stood, wiping her hand" | | 7 | "She turned, pale lavender eyes" | | 8 | "Her voice carried no echo." | | 9 | "She didn't wait for a" | | 10 | "She pointed toward a gap" | | 11 | "They moved forward." | | 12 | "She blinked it away." | | 13 | "She didn't look back." | | 14 | "She held her breath." | | 15 | "She reached the other side" | | 16 | "It stretched into the distance," | | 17 | "They extended a hand." | | 18 | "She kept the blade low." | | 19 | "She spotted a door at" |
| | ratio | 0.233 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 122 | | totalSentences | 129 | | matches | | 0 | "The air tasted of copper" | | 1 | "Aurora stepped through the shimmer," | | 2 | "The sky above burned a" | | 3 | "She touched the silver chain" | | 4 | "The Heartstone Pendant pulsed against" | | 5 | "The gemstone felt warm, almost" | | 6 | "Isolde walked ahead, silver hair" | | 7 | "The woman left no mark" | | 8 | "Her bare feet made no" | | 9 | "The ground beneath Aurora's boots" | | 10 | "Vines thick as pythons coiled" | | 11 | "Leaves the size of dinner" | | 12 | "Nyx materialized from the darkness" | | 13 | "Their form solidified into a" | | 14 | "The Shade moved without sound," | | 15 | "Aurora tightened her grip on" | | 16 | "The moonsilver hilt remained cold" | | 17 | "She sheathed the weapon at" | | 18 | "Tables stretched for miles, laden" | | 19 | "She kept her eyes on" |
| | ratio | 0.946 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 129 | | matches | (empty) | | ratio | 0 | |
| 77.92% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 2 | | matches | | 0 | "The sky above burned a deep amber, devoid of sun or moon, casting long, distorted shadows that seemed to breathe." | | 1 | "The Heartstone Pendant pulsed against her collarbone, a rhythmic thrumming that matched the beat in her ears." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 40 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 87.50% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 40 | | fancyCount | 5 | | fancyTags | | 0 | "Nyx whispered (whisper)" | | 1 | "Isolde spoke (speak)" | | 2 | "Isolde added (add)" | | 3 | "Isolde corrected (correct)" | | 4 | "Isolde warned (warn)" |
| | dialogueSentences | 45 | | tagDensity | 0.889 | | leniency | 1 | | rawRatio | 0.125 | | effectiveRatio | 0.125 | |