| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1156 | | 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) | |
| 52.42% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1156 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "whisper" | | 1 | "pulse" | | 2 | "flickered" | | 3 | "grave" | | 4 | "rhythmic" | | 5 | "vibrated" | | 6 | "glistening" | | 7 | "pulsed" | | 8 | "throb" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 2 |
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| | highlights | | 0 | "eyes narrowed" | | 1 | "eyes widened" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 84 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 84 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 100 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1156 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 944 | | uniqueNames | 7 | | maxNameDensity | 1.91 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 1 | | Fae | 3 | | Half-Fae | 1 | | Nyx | 7 | | Isolde | 6 | | Rory | 18 | | Yu-Fei | 1 |
| | persons | | 0 | "Fae" | | 1 | "Half-Fae" | | 2 | "Nyx" | | 3 | "Isolde" | | 4 | "Rory" | | 5 | "Yu-Fei" |
| | places | (empty) | | globalScore | 0.547 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1156 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 100 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 25.69 | | std | 20.64 | | cv | 0.803 | | sampleLengths | | 0 | 77 | | 1 | 3 | | 2 | 56 | | 3 | 49 | | 4 | 19 | | 5 | 41 | | 6 | 12 | | 7 | 22 | | 8 | 4 | | 9 | 3 | | 10 | 13 | | 11 | 36 | | 12 | 13 | | 13 | 10 | | 14 | 20 | | 15 | 29 | | 16 | 15 | | 17 | 51 | | 18 | 4 | | 19 | 19 | | 20 | 11 | | 21 | 13 | | 22 | 56 | | 23 | 36 | | 24 | 15 | | 25 | 18 | | 26 | 45 | | 27 | 49 | | 28 | 6 | | 29 | 10 | | 30 | 11 | | 31 | 1 | | 32 | 64 | | 33 | 11 | | 34 | 7 | | 35 | 9 | | 36 | 15 | | 37 | 71 | | 38 | 62 | | 39 | 10 | | 40 | 13 | | 41 | 46 | | 42 | 13 | | 43 | 23 | | 44 | 45 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 84 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 159 | | matches | (empty) | |
| 28.57% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 5 | | flaggedSentences | 4 | | totalSentences | 100 | | ratio | 0.04 | | matches | | 0 | "Her own boots left dark prints in the pulp; Nyx's shadow left none; Isolde disturbed not a single seed." | | 1 | "One woman stirred a cauldron and wept; her tears fell into the broth and the broth sighed." | | 2 | "A culinary competition was underway; a chef presented a glistening pie, and the judge's laughter rolled across the garden, too loud and too wet." | | 3 | "She was a courier; she knew how to map a route and how to run one." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 948 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.015822784810126583 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0010548523206751054 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 100 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 100 | | mean | 11.56 | | std | 6.39 | | cv | 0.553 | | sampleLengths | | 0 | 22 | | 1 | 20 | | 2 | 15 | | 3 | 5 | | 4 | 15 | | 5 | 3 | | 6 | 10 | | 7 | 15 | | 8 | 13 | | 9 | 8 | | 10 | 10 | | 11 | 26 | | 12 | 23 | | 13 | 19 | | 14 | 3 | | 15 | 15 | | 16 | 15 | | 17 | 8 | | 18 | 12 | | 19 | 3 | | 20 | 19 | | 21 | 4 | | 22 | 3 | | 23 | 13 | | 24 | 7 | | 25 | 12 | | 26 | 17 | | 27 | 13 | | 28 | 10 | | 29 | 20 | | 30 | 5 | | 31 | 11 | | 32 | 13 | | 33 | 15 | | 34 | 15 | | 35 | 21 | | 36 | 13 | | 37 | 2 | | 38 | 4 | | 39 | 19 | | 40 | 8 | | 41 | 3 | | 42 | 13 | | 43 | 3 | | 44 | 9 | | 45 | 11 | | 46 | 5 | | 47 | 7 | | 48 | 21 | | 49 | 2 |
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| 58.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.37 | | totalSentences | 100 | | uniqueOpeners | 37 | |
| 81.30% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 82 | | matches | | 0 | "More fruit split open, releasing" | | 1 | "Only the scent of caramel" |
| | ratio | 0.024 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 82 | | matches | | 0 | "She drew the Fae blade." | | 1 | "Her boot sank into soil" | | 2 | "They turned in a full" | | 3 | "She left no footprints in" | | 4 | "Her own boots left dark" | | 5 | "She kept the blade ready" | | 6 | "It struck a flat stone" | | 7 | "Her bright blue eyes widened." | | 8 | "She reached toward the dusting" | | 9 | "Their grip was solid and" | | 10 | "It pressed against her skull" | | 11 | "Her reflection stared back: straight" | | 12 | "She wiped her hand on" | | 13 | "They walked deeper." | | 14 | "She thought of the delivery" | | 15 | "She was a courier; she" | | 16 | "Her pendant pulsed, warm and" | | 17 | "Her scar gave a single" | | 18 | "She tightened her grip on" |
| | ratio | 0.232 | |
| 20.98% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 72 | | totalSentences | 82 | | matches | | 0 | "The rift yawned between two" | | 1 | "Aurora felt the Heartstone against" | | 2 | "She drew the Fae blade." | | 3 | "The moonsilver dagger weighed cold" | | 4 | "Rory stepped through." | | 5 | "Her boot sank into soil" | | 6 | "Rows of vines rolled away" | | 7 | "Clusters hung the deep red" | | 8 | "A grape split open on" | | 9 | "Nyx peeled out of her" | | 10 | "They turned in a full" | | 11 | "Isolde followed last." | | 12 | "The Half-Fae's silver hair reached" | | 13 | "She left no footprints in" | | 14 | "Rory glanced back." | | 15 | "Her own boots left dark" | | 16 | "Isolde's mouth curved." | | 17 | "A wet sigh rose from" | | 18 | "Rory pressed a hand to" | | 19 | "Nyx's form flickered, half turning" |
| | ratio | 0.878 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 82 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 1 | | matches | | 0 | "The rift yawned between two ancient oak standing stones, a tear in the world that smelled of burnt sugar and roasting meat." |
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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 | |