| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 47 | | tagDensity | 0.34 | | leniency | 0.681 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.07% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1706 | | 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) | |
| 67.76% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1706 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "pulse" | | 1 | "warmth" | | 2 | "weight" | | 3 | "wavered" | | 4 | "throb" | | 5 | "quickened" | | 6 | "chill" |
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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 | 162 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 162 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 193 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1705 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 48.74% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 60 | | wordCount | 1432 | | uniqueNames | 7 | | maxNameDensity | 2.03 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 4 | | Fae | 1 | | Isolde | 13 | | Richmond | 1 | | Park | 1 | | Rory | 29 | | Nyx | 11 |
| | persons | | 0 | "Heartstone" | | 1 | "Isolde" | | 2 | "Rory" | | 3 | "Nyx" |
| | places | | | globalScore | 0.487 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 105 | | 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 | 1705 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 193 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 91 | | mean | 18.74 | | std | 16.92 | | cv | 0.903 | | sampleLengths | | 0 | 14 | | 1 | 31 | | 2 | 16 | | 3 | 13 | | 4 | 21 | | 5 | 22 | | 6 | 16 | | 7 | 27 | | 8 | 2 | | 9 | 7 | | 10 | 43 | | 11 | 15 | | 12 | 11 | | 13 | 28 | | 14 | 5 | | 15 | 20 | | 16 | 4 | | 17 | 4 | | 18 | 11 | | 19 | 40 | | 20 | 8 | | 21 | 10 | | 22 | 6 | | 23 | 23 | | 24 | 22 | | 25 | 32 | | 26 | 2 | | 27 | 43 | | 28 | 45 | | 29 | 29 | | 30 | 32 | | 31 | 5 | | 32 | 4 | | 33 | 13 | | 34 | 40 | | 35 | 10 | | 36 | 23 | | 37 | 9 | | 38 | 63 | | 39 | 43 | | 40 | 5 | | 41 | 4 | | 42 | 3 | | 43 | 5 | | 44 | 9 | | 45 | 32 | | 46 | 13 | | 47 | 6 | | 48 | 17 | | 49 | 1 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 162 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 233 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 193 | | ratio | 0.01 | | matches | | 0 | "No rope, no seam, no visible ward—only a slight drag in the air, like cloth caught on a nail." | | 1 | "It resembled a pear wrapped in translucent skin; inside, a tiny blue flame bobbed as if caught in water." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1204 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.01910299003322259 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0033222591362126247 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 193 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 193 | | mean | 8.83 | | std | 5.2 | | cv | 0.588 | | sampleLengths | | 0 | 14 | | 1 | 7 | | 2 | 14 | | 3 | 10 | | 4 | 5 | | 5 | 11 | | 6 | 3 | | 7 | 10 | | 8 | 4 | | 9 | 3 | | 10 | 14 | | 11 | 14 | | 12 | 8 | | 13 | 16 | | 14 | 6 | | 15 | 21 | | 16 | 2 | | 17 | 6 | | 18 | 1 | | 19 | 15 | | 20 | 16 | | 21 | 12 | | 22 | 3 | | 23 | 12 | | 24 | 7 | | 25 | 4 | | 26 | 5 | | 27 | 23 | | 28 | 5 | | 29 | 5 | | 30 | 15 | | 31 | 4 | | 32 | 4 | | 33 | 6 | | 34 | 5 | | 35 | 5 | | 36 | 11 | | 37 | 5 | | 38 | 19 | | 39 | 4 | | 40 | 4 | | 41 | 7 | | 42 | 3 | | 43 | 6 | | 44 | 3 | | 45 | 20 | | 46 | 12 | | 47 | 10 | | 48 | 4 | | 49 | 17 |
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| 53.20% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.3471502590673575 | | totalSentences | 193 | | uniqueOpeners | 67 | |
| 45.98% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 145 | | matches | | 0 | "Then Isolde came through, and" | | 1 | "Then the damage returned." |
| | ratio | 0.014 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 145 | | matches | | 0 | "Their violet eyes fixed on" | | 1 | "Their voice brushed the air" | | 2 | "Their edges thinned where the" | | 3 | "Its leaf-shaped blade looked dull" | | 4 | "She found nothing to cut." | | 5 | "She turned the blade." | | 6 | "Its edge met resistance." | | 7 | "Their body poured into the" | | 8 | "They stood whole again, violet" | | 9 | "She left winter grass for" | | 10 | "She looked up until her" | | 11 | "It resembled a pear wrapped" | | 12 | "They followed the path downhill." | | 13 | "Their skins shone in colours" | | 14 | "It carried no reflection." | | 15 | "She crouched by the bank." | | 16 | "Its outer wall had collapsed" | | 17 | "She pulled her hand away." | | 18 | "Their shadow covered the first" | | 19 | "She pressed the Heartstone through" |
| | ratio | 0.193 | |
| 46.21% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 120 | | totalSentences | 145 | | matches | | 0 | "The standing stones had no" | | 1 | "Rory felt its warmth through" | | 2 | "The pendant rested against her" | | 3 | "Each beat lit the crimson" | | 4 | "Nyx lifted one shadowed hand." | | 5 | "Their violet eyes fixed on" | | 6 | "Their voice brushed the air" | | 7 | "Rory followed their gaze." | | 8 | "The space wavered." | | 9 | "Isolde stood at the edge" | | 10 | "Rory kept her hand near" | | 11 | "A faint smile touched Isolde’s" | | 12 | "The winter solstice had stripped" | | 13 | "The standing stones, old oak" | | 14 | "The shimmer between them rippled," | | 15 | "Nyx drifted closer." | | 16 | "Their edges thinned where the" | | 17 | "Rory drew the moonsilver dagger." | | 18 | "Its leaf-shaped blade looked dull" | | 19 | "Isolde raised one pale finger." |
| | ratio | 0.828 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 145 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 71 | | technicalSentenceCount | 3 | | matches | | 0 | "Its leaf-shaped blade looked dull in the overcast light, but the air around it sharpened, as if the clearing had taken a breath." | | 1 | "The air that crossed the threshold smelled of warm earth, bruised grapes and something sweet enough to sting her throat." | | 2 | "It resembled a pear wrapped in translucent skin; inside, a tiny blue flame bobbed as if caught in water." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 64.89% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 4 | | fancyTags | | 0 | "they breathed (breathe)" | | 1 | "they murmured (murmur)" | | 2 | "Rory warned (warn)" | | 3 | "she muttered (mutter)" |
| | dialogueSentences | 47 | | tagDensity | 0.277 | | leniency | 0.553 | | rawRatio | 0.308 | | effectiveRatio | 0.17 | |