| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 25 | | tagDensity | 0.52 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.56% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1125 | | 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) | |
| 28.89% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1125 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "loomed" | | 1 | "throbbed" | | 2 | "chill" | | 3 | "crystal" | | 4 | "rhythmic" | | 5 | "marble" | | 6 | "oppressive" | | 7 | "echoed" | | 8 | "echoing" | | 9 | "cascading" | | 10 | "footsteps" | | 11 | "methodical" | | 12 | "maw" | | 13 | "pulse" |
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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 | 69 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 69 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 81 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1121 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 60.71% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 952 | | uniqueNames | 10 | | maxNameDensity | 1.79 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 2 | | Rory | 17 | | Heartstone | 2 | | Pendant | 1 | | Nyx | 9 | | London | 1 | | Sprawling | 1 | | Through | 1 | | Isolde | 1 | | Fae | 1 |
| | persons | | 0 | "Rory" | | 1 | "Pendant" | | 2 | "Nyx" | | 3 | "Sprawling" | | 4 | "Isolde" |
| | places | | | globalScore | 0.607 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.892 | | wordCount | 1121 | | matches | | 0 | "not human, but wide, flat vertebrae fitted together like cobblestones" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 81 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 32.03 | | std | 17.25 | | cv | 0.539 | | sampleLengths | | 0 | 40 | | 1 | 43 | | 2 | 43 | | 3 | 8 | | 4 | 37 | | 5 | 9 | | 6 | 3 | | 7 | 47 | | 8 | 41 | | 9 | 56 | | 10 | 49 | | 11 | 35 | | 12 | 44 | | 13 | 48 | | 14 | 11 | | 15 | 51 | | 16 | 3 | | 17 | 18 | | 18 | 43 | | 19 | 21 | | 20 | 24 | | 21 | 27 | | 22 | 11 | | 23 | 67 | | 24 | 27 | | 25 | 9 | | 26 | 34 | | 27 | 52 | | 28 | 20 | | 29 | 35 | | 30 | 21 | | 31 | 63 | | 32 | 41 | | 33 | 11 | | 34 | 29 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 69 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 163 | | matches | | 0 | "was practically scalding" |
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| 1.76% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 1 | | flaggedSentences | 4 | | totalSentences | 81 | | ratio | 0.049 | | matches | | 0 | "Rory stumbled onto a path made of polished white bone—not human, but wide, flat vertebrae fitted together like cobblestones." | | 1 | "It didn't push the stalks aside; it devoured them as it advanced, leaving a wide, black swath of dead soil behind." | | 2 | "The beast shrieked—a sound like glass breaking in a metal drum—and crashed onto the path, thrashing as frost spread rapidly from the wound, crystallizing its caramel flesh." | | 3 | "At the far end of the arena, a rift tore through the air—a jagged, black scar in the amber sky, shimmering like gasoline on water." |
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| 76.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 970 | | adjectiveStacks | 4 | | stackExamples | | 0 | "warm thumb-sized crimson" | | 1 | "massive upside-down gardens" | | 2 | "tall, blue-stemmed grass" | | 3 | "gray, rain-slicked trees" |
| | adverbCount | 20 | | adverbRatio | 0.020618556701030927 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.009278350515463918 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 81 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 81 | | mean | 13.84 | | std | 6.6 | | cv | 0.477 | | sampleLengths | | 0 | 22 | | 1 | 18 | | 2 | 9 | | 3 | 10 | | 4 | 15 | | 5 | 9 | | 6 | 8 | | 7 | 14 | | 8 | 11 | | 9 | 10 | | 10 | 8 | | 11 | 24 | | 12 | 13 | | 13 | 9 | | 14 | 3 | | 15 | 7 | | 16 | 21 | | 17 | 19 | | 18 | 3 | | 19 | 38 | | 20 | 14 | | 21 | 18 | | 22 | 20 | | 23 | 4 | | 24 | 23 | | 25 | 8 | | 26 | 18 | | 27 | 22 | | 28 | 13 | | 29 | 16 | | 30 | 17 | | 31 | 11 | | 32 | 6 | | 33 | 15 | | 34 | 21 | | 35 | 6 | | 36 | 11 | | 37 | 8 | | 38 | 24 | | 39 | 19 | | 40 | 3 | | 41 | 15 | | 42 | 3 | | 43 | 13 | | 44 | 21 | | 45 | 9 | | 46 | 5 | | 47 | 16 | | 48 | 16 | | 49 | 8 |
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| 67.08% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.43209876543209874 | | totalSentences | 81 | | uniqueOpeners | 35 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 65 | | matches | | 0 | "She pressed her thumb against" | | 1 | "Their silhouette drifted inches above" | | 2 | "She nudged the warm thumb-sized" | | 3 | "Her ears popped." | | 4 | "Their faint lavender gaze swept" | | 5 | "She held her moonsilver blade" | | 6 | "They drifted toward a hedge" | | 7 | "She crouched behind a marble" | | 8 | "It didn't push the stalks" | | 9 | "She gripped the cold hilt" | | 10 | "It stood five feet high," | | 11 | "It had no eyes, only" | | 12 | "It sniffed the air, its" | | 13 | "She dropped low, sliding across" | | 14 | "She drove the Fae blade" | | 15 | "She stepped through the willow" |
| | ratio | 0.246 | |
| 36.92% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 65 | | matches | | 0 | "She pressed her thumb against" | | 1 | "The sound rasped like dry" | | 2 | "Their silhouette drifted inches above" | | 3 | "Rory drew the leaf-shaped dagger" | | 4 | "Moonsilver gleamed along the blade," | | 5 | "She nudged the warm thumb-sized" | | 6 | "The Heartstone Pendant throbbed, throwing" | | 7 | "Nyx replied, shadow-fingers lengthening into" | | 8 | "Rory took a breath and" | | 9 | "The fog vanished." | | 10 | "The chill of London winter" | | 11 | "Rory stumbled onto a path" | | 12 | "Her ears popped." | | 13 | "The ambient roar of traffic" | | 14 | "Rory said, her eyes wide" | | 15 | "Grapes the size of apples" | | 16 | "Nyx said, pooling into a" | | 17 | "Their faint lavender gaze swept" | | 18 | "Soil drifted down in fine," | | 19 | "Rory picked her way along" |
| | ratio | 0.846 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 77.92% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 4 | | matches | | 0 | "The chill of London winter dissolved into heavy, humid heat that smelled of crushed sugar cane, overripe plums, and roasted cloves." | | 1 | "Grapes the size of apples hung in heavy, glowing clusters from vines that twined around marble statues of forgotten kings." | | 2 | "It had no eyes, only a wide, gaping maw lined with three concentric rings of needle-thin teeth that clicked rhythmically." | | 3 | "Roast beasts with iridescent scales, towers of translucent pastry that swayed in the breeze, and fountains of liquid silver stretched as far as the eye could se…" |
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| 86.54% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 1 | | matches | | 0 | "Rory said, her eyes wide as she tracked the horizon" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 6 | | fancyTags | | 0 | "Nyx whispered (whisper)" | | 1 | "Nyx murmured (murmur)" | | 2 | "Rory whispered (whisper)" | | 3 | "Nyx corrected (correct)" | | 4 | "Nyx hissed (hiss)" | | 5 | "Rory breathed (breathe)" |
| | dialogueSentences | 25 | | tagDensity | 0.44 | | leniency | 0.88 | | rawRatio | 0.545 | | effectiveRatio | 0.48 | |