| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 79 | | tagDensity | 0.013 | | leniency | 0.025 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 834 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 76.02% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 834 | | totalAiIsms | 4 | | found | | | highlights | | |
| 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 | 85 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 85 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 163 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 17 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 834 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.41% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 524 | | uniqueNames | 4 | | maxNameDensity | 2.67 | | worstName | "Aurora" | | maxWindowNameDensity | 4 | | worstWindowName | "Aurora" | | discoveredNames | | Varga | 1 | | Aurora | 14 | | Nyx | 9 | | Isolde | 8 |
| | persons | | 0 | "Varga" | | 1 | "Aurora" | | 2 | "Nyx" | | 3 | "Isolde" |
| | places | (empty) | | globalScore | 0.164 | | windowScore | 0.333 | |
| 93.18% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 44 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed woven from the dark of the sky" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 834 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 163 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 116 | | mean | 7.19 | | std | 6.24 | | cv | 0.869 | | sampleLengths | | 0 | 17 | | 1 | 19 | | 2 | 4 | | 3 | 12 | | 4 | 3 | | 5 | 31 | | 6 | 20 | | 7 | 4 | | 8 | 6 | | 9 | 18 | | 10 | 8 | | 11 | 6 | | 12 | 15 | | 13 | 4 | | 14 | 20 | | 15 | 3 | | 16 | 6 | | 17 | 5 | | 18 | 9 | | 19 | 10 | | 20 | 17 | | 21 | 4 | | 22 | 3 | | 23 | 14 | | 24 | 5 | | 25 | 4 | | 26 | 3 | | 27 | 1 | | 28 | 7 | | 29 | 4 | | 30 | 12 | | 31 | 5 | | 32 | 1 | | 33 | 5 | | 34 | 3 | | 35 | 15 | | 36 | 5 | | 37 | 1 | | 38 | 16 | | 39 | 4 | | 40 | 15 | | 41 | 3 | | 42 | 3 | | 43 | 1 | | 44 | 4 | | 45 | 24 | | 46 | 6 | | 47 | 4 | | 48 | 5 | | 49 | 8 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 85 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 99 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 163 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 524 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 12 | | adverbRatio | 0.022900763358778626 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0019083969465648854 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 163 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 163 | | mean | 5.12 | | std | 2.78 | | cv | 0.543 | | sampleLengths | | 0 | 4 | | 1 | 13 | | 2 | 10 | | 3 | 9 | | 4 | 4 | | 5 | 5 | | 6 | 7 | | 7 | 3 | | 8 | 11 | | 9 | 17 | | 10 | 3 | | 11 | 8 | | 12 | 3 | | 13 | 9 | | 14 | 4 | | 15 | 6 | | 16 | 3 | | 17 | 7 | | 18 | 8 | | 19 | 8 | | 20 | 6 | | 21 | 4 | | 22 | 11 | | 23 | 4 | | 24 | 2 | | 25 | 6 | | 26 | 5 | | 27 | 7 | | 28 | 3 | | 29 | 6 | | 30 | 5 | | 31 | 9 | | 32 | 10 | | 33 | 4 | | 34 | 7 | | 35 | 6 | | 36 | 4 | | 37 | 3 | | 38 | 3 | | 39 | 4 | | 40 | 7 | | 41 | 5 | | 42 | 4 | | 43 | 3 | | 44 | 1 | | 45 | 7 | | 46 | 4 | | 47 | 5 | | 48 | 7 | | 49 | 5 |
| |
| 41.41% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.2147239263803681 | | totalSentences | 163 | | uniqueOpeners | 35 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 79 | | matches | (empty) | | ratio | 0 | |
| 63.04% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 79 | | matches | | 0 | "It tasted of ozone and" | | 1 | "She gripped the silver chain" | | 2 | "Her lavender eyes reflected nothing" | | 3 | "Their form solidized, the shadows" | | 4 | "It was warm." | | 5 | "Her boots did not touch" | | 6 | "She left the earth where" | | 7 | "They glowed faintly in the" | | 8 | "It overlaid the scent of" | | 9 | "They moved forward." | | 10 | "They walked deeper." | | 11 | "They blocked the way ahead." | | 12 | "Their form was solid now," | | 13 | "It pulsed in rhythm with" | | 14 | "She felt the slow beat" | | 15 | "She walked between the towers." | | 16 | "Her silver hair moved like" | | 17 | "It was hot." | | 18 | "She looked down at them." | | 19 | "It did not wet her" |
| | ratio | 0.392 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 77 | | totalSentences | 79 | | matches | | 0 | "The air shifted first." | | 1 | "It tasted of ozone and" | | 2 | "Aurora stopped her boots just" | | 3 | "She gripped the silver chain" | | 4 | "Isolde Varga lifted her chin." | | 5 | "Her lavender eyes reflected nothing" | | 6 | "Nyx drifted from the tall" | | 7 | "Their form solidized, the shadows" | | 8 | "Aurora turned the pendant over" | | 9 | "It was warm." | | 10 | "A deep crimson stone pulsed" | | 11 | "Isolde stepped forward." | | 12 | "Her boots did not touch" | | 13 | "She left the earth where" | | 14 | "Nyx shifted their shape." | | 15 | "Shadows stretched from their boots" | | 16 | "The soil crunched under her" | | 17 | "Roots twisted upward like veins." | | 18 | "They glowed faintly in the" | | 19 | "Isolde spoke with a tone" |
| | ratio | 0.975 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 79 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 10 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |