| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 1 | | adverbTags | | 0 | "Isolde replied cryptically [cryptically]" |
| | dialogueSentences | 53 | | tagDensity | 0.415 | | leniency | 0.83 | | rawRatio | 0.045 | | effectiveRatio | 0.038 | |
| 64.44% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1828 | | totalAiIsmAdverbs | 13 | | found | | | highlights | | 0 | "nervously" | | 1 | "slightly" | | 2 | "cautiously" | | 3 | "lightly" | | 4 | "suddenly" | | 5 | "hungrily" | | 6 | "carefully" | | 7 | "very" | | 8 | "perfectly" | | 9 | "tightly" |
| |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 23.41% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1828 | | totalAiIsms | 28 | | found | | 0 | | | 1 | | word | "down her spine" | | count | 1 |
| | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | |
| | highlights | | 0 | "whisper" | | 1 | "down her spine" | | 2 | "chill" | | 3 | "silence" | | 4 | "resolving" | | 5 | "shimmered" | | 6 | "pulsed" | | 7 | "warmth" | | 8 | "comforting" | | 9 | "perfect" | | 10 | "cascading" | | 11 | "lilt" | | 12 | "glistening" | | 13 | "transfixed" | | 14 | "desire" | | 15 | "enigmatic" | | 16 | "intensity" | | 17 | "resolve" | | 18 | "churned" | | 19 | "stomach" | | 20 | "otherworldly" | | 21 | "familiar" | | 22 | "weight" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "sent a shiver through" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 101 | | matches | | |
| 72.14% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 101 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 132 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1815 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 57.95% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 94 | | wordCount | 1358 | | uniqueNames | 19 | | maxNameDensity | 1.84 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Isolde" | | discoveredNames | | Aurora | 25 | | December | 3 | | Richmond | 3 | | Park | 3 | | Nyx | 8 | | Heartstone | 6 | | Pendant | 6 | | Marcus | 6 | | London | 4 | | Isolde | 17 | | Varga | 1 | | Fae | 5 | | Courts | 1 | | Half-Fae | 1 | | Veil | 1 | | Fae-touched | 1 | | Belphegor | 1 | | Prince | 1 | | Hel | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Nyx" | | 2 | "Pendant" | | 3 | "Marcus" | | 4 | "Isolde" | | 5 | "Veil" | | 6 | "Belphegor" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "Fae" | | 4 | "Fae-touched" |
| | globalScore | 0.58 | | windowScore | 0.667 | |
| 37.64% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 89 | | glossingSentenceCount | 4 | | matches | | 0 | "patterns that seemed to form and reform into almost-recognizable symbols before dissolving again" | | 1 | "appeared solid reflecting the amber sky above with perfect clarity" | | 2 | "moonsilver that seemed to drink in the light around it" | | 3 | "as if cutting into reality itself" |
| |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 4 | | per1kWords | 2.204 | | wordCount | 1815 | | matches | | 0 | "not dramatically, but in subtle ways" | | 1 | "neither cold nor" | | 2 | "not your sky, but" | | 3 | "Not merely food sustains Gluttony's hunger, but the very act of desire" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 132 | | matches | (empty) | |
| 80.35% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 59 | | mean | 30.76 | | std | 13.27 | | cv | 0.431 | | sampleLengths | | 0 | 60 | | 1 | 32 | | 2 | 27 | | 3 | 31 | | 4 | 43 | | 5 | 49 | | 6 | 25 | | 7 | 15 | | 8 | 12 | | 9 | 51 | | 10 | 39 | | 11 | 12 | | 12 | 45 | | 13 | 39 | | 14 | 11 | | 15 | 30 | | 16 | 13 | | 17 | 35 | | 18 | 29 | | 19 | 24 | | 20 | 13 | | 21 | 49 | | 22 | 26 | | 23 | 21 | | 24 | 62 | | 25 | 27 | | 26 | 40 | | 27 | 25 | | 28 | 11 | | 29 | 26 | | 30 | 31 | | 31 | 8 | | 32 | 27 | | 33 | 48 | | 34 | 30 | | 35 | 47 | | 36 | 19 | | 37 | 29 | | 38 | 47 | | 39 | 25 | | 40 | 16 | | 41 | 40 | | 42 | 30 | | 43 | 36 | | 44 | 26 | | 45 | 33 | | 46 | 31 | | 47 | 17 | | 48 | 20 | | 49 | 16 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 101 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 253 | | matches | | 0 | "was warning" | | 1 | "was looking" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 132 | | ratio | 0.068 | | matches | | 0 | "The world shifted—not dramatically, but in subtle ways that sent a shiver down her spine." | | 1 | "Winter-bare trees gradually gave way to others still bearing leaves in impossible colors—deep purples and blues that shimmered with their own inner light." | | 2 | "Wait—amber sky?" | | 3 | "Suddenly she was looking down—or was it up?—into a vast landscape of impossible abundance." | | 4 | "Then the image rippled again, returning to abundance, but now she could see preparation for some grand event—servants rushing, chefs laboring over creations that defied natural law." | | 5 | "The vision in the pool darkened suddenly, and Aurora gasped as a massive figure moved into view—humanoid but grotesquely proportioned, draped in finery that couldn't disguise its bloated form." | | 6 | "As they approached the standing stones, Aurora felt the Veil's subtle resistance—the barrier that separated ordinary Richmond Park from the Fae-touched grove." | | 7 | "Whatever Belphegor planned would come to fruition soon—and somehow, she needed to stop a Prince of Hel with nothing but a dagger and a pendant that marked her to his sight." | | 8 | "She touched the crescent-shaped scar on her left wrist—a nervous habit—and took a steadying breath." |
| |
| 86.27% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1377 | | adjectiveStacks | 1 | | stackExamples | | 0 | "slender, leaf-shaped dagger" |
| | adverbCount | 63 | | adverbRatio | 0.0457516339869281 | | lyAdverbCount | 32 | | lyAdverbRatio | 0.023238925199709513 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 132 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 132 | | mean | 13.75 | | std | 6.19 | | cv | 0.45 | | sampleLengths | | 0 | 21 | | 1 | 20 | | 2 | 19 | | 3 | 20 | | 4 | 12 | | 5 | 20 | | 6 | 7 | | 7 | 26 | | 8 | 5 | | 9 | 14 | | 10 | 21 | | 11 | 8 | | 12 | 10 | | 13 | 15 | | 14 | 14 | | 15 | 10 | | 16 | 12 | | 17 | 13 | | 18 | 9 | | 19 | 6 | | 20 | 2 | | 21 | 10 | | 22 | 13 | | 23 | 23 | | 24 | 15 | | 25 | 15 | | 26 | 24 | | 27 | 12 | | 28 | 17 | | 29 | 12 | | 30 | 16 | | 31 | 13 | | 32 | 18 | | 33 | 8 | | 34 | 3 | | 35 | 8 | | 36 | 17 | | 37 | 13 | | 38 | 7 | | 39 | 6 | | 40 | 15 | | 41 | 20 | | 42 | 16 | | 43 | 13 | | 44 | 7 | | 45 | 17 | | 46 | 3 | | 47 | 10 | | 48 | 14 | | 49 | 17 |
| |
| 67.17% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.4393939393939394 | | totalSentences | 132 | | uniqueOpeners | 58 | |
| 69.44% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 96 | | matches | | 0 | "Suddenly she was looking down—or" | | 1 | "Then the image rippled again," |
| | ratio | 0.021 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 96 | | matches | | 0 | "She glanced at Nyx, whose" | | 1 | "She sprinkled it across the" | | 2 | "She took a deep breath" | | 3 | "he whispered, turning in a" | | 4 | "They followed a narrow path" | | 5 | "She couldn't tell if it" | | 6 | "Her voice carried the musical" | | 7 | "She wore a simple dress" | | 8 | "She rose from her seat" | | 9 | "she asked, following carefully down" | | 10 | "Its surface rippled without wind." | | 11 | "She leaned forward, and the" | | 12 | "She stood on shaky legs," | | 13 | "She unwrapped the bundle, revealing" | | 14 | "It was unnaturally cold against" | | 15 | "She touched the crescent-shaped scar" |
| | ratio | 0.167 | |
| 64.17% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 76 | | totalSentences | 96 | | matches | | 0 | "The winter air nipped at" | | 1 | "Frost crunched beneath her boots," | | 2 | "She glanced at Nyx, whose" | | 3 | "Nyx's voice came as a" | | 4 | "Aurora fingered the Heartstone Pendant" | | 5 | "The third member of their" | | 6 | "Aurora reached into her pocket" | | 7 | "She sprinkled it across the" | | 8 | "She took a deep breath" | | 9 | "The world shifted—not dramatically, but" | | 10 | "The winter chill remained, but" | | 11 | "Sounds dampened, the distant traffic" | | 12 | "Nyx slipped through next, their" | | 13 | "Marcus followed with obvious reluctance," | | 14 | "he whispered, turning in a" | | 15 | "They followed a narrow path" | | 16 | "Wildflowers dotted the ground despite" | | 17 | "The Heartstone Pendant pulsed against" | | 18 | "She couldn't tell if it" | | 19 | "Nyx said, their shadowy arm" |
| | ratio | 0.792 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 96 | | matches | | 0 | "Though she couldn't make out" | | 1 | "Even in the growing dimness," | | 2 | "As if to emphasize the" |
| | ratio | 0.031 | |
| 32.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 65 | | technicalSentenceCount | 10 | | matches | | 0 | "The third member of their party, a college student named Marcus who'd stumbled into their supernatural world just weeks ago, shifted nervously from foot to foot…" | | 1 | "Winter-bare trees gradually gave way to others still bearing leaves in impossible colors—deep purples and blues that shimmered with their own inner light." | | 2 | "She wore a simple dress of shifting colors that reminded Aurora of mother-of-pearl." | | 3 | "Light filtered through in dappled patterns that seemed to form and reform into almost-recognizable symbols before dissolving again." | | 4 | "The tunnel of vegetation opened suddenly into a vast clearing that defied the physics of Richmond Park." | | 5 | "Then the image rippled again, returning to abundance, but now she could see preparation for some grand event—servants rushing, chefs laboring over creations tha…" | | 6 | "The vision in the pool darkened suddenly, and Aurora gasped as a massive figure moved into view—humanoid but grotesquely proportioned, draped in finery that cou…" | | 7 | "Though she couldn't make out distinct features, she felt its gaze as if it looked directly at her." | | 8 | "She unwrapped the bundle, revealing a slender, leaf-shaped dagger of moonsilver that seemed to drink in the light around it." | | 9 | "As they approached the standing stones, Aurora felt the Veil's subtle resistance—the barrier that separated ordinary Richmond Park from the Fae-touched grove." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 7 | | matches | | 0 | "Nyx said, their shadowy arm extending toward a clearing ahead" | | 1 | "Isolde said, her gaze fixing on the Heartstone Pendant" | | 2 | "Nyx replied, their form sliding between patches of shadow" | | 3 | "Aurora said, unable to tear her eyes away from the vision" | | 4 | "Isolde said, not sounding particularly concerned" | | 5 | "Isolde said, her enigmatic smile returning" | | 6 | "Nyx urged, their violet eyes brightening with concern" |
| |
| 55.66% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 5 | | fancyTags | | 0 | "he whispered (whisper)" | | 1 | "Aurora confirmed (confirm)" | | 2 | "Marcus murmured (murmur)" | | 3 | "Isolde explained (explain)" | | 4 | "Nyx urged (urge)" |
| | dialogueSentences | 53 | | tagDensity | 0.264 | | leniency | 0.528 | | rawRatio | 0.357 | | effectiveRatio | 0.189 | |