| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 0 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.22% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1392 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slightly" | | 1 | "softly" | | 2 | "carefully" |
| |
| 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) | |
| 24.57% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1392 | | totalAiIsms | 21 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "chill" | | 1 | "weight" | | 2 | "gloom" | | 3 | "cascading" | | 4 | "pulse" | | 5 | "pulsed" | | 6 | "rhythmic" | | 7 | "shattered" | | 8 | "intensity" | | 9 | "warmth" | | 10 | "comforting" | | 11 | "surreal" | | 12 | "marble" | | 13 | "unreadable" | | 14 | "shimmered" | | 15 | "familiar" | | 16 | "scanning" | | 17 | "predictable" | | 18 | "whisper" |
| |
| 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 | 141 | | matches | (empty) | |
| 71.94% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 7 | | narrationSentences | 141 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "tend to" | | 2 | "began to" |
| |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 141 | | 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 | 1392 | | ratio | 0 | | matches | (empty) | |
| 0.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 14 | | matches | | 0 | "The threshold is here, Isolde said." | | 1 | "Trust the stone, Rory, Isolde said." | | 2 | "Welcome to Dymas, Isolde said." | | 3 | "It is beautiful, Nyx whispered, though their shadowy form seemed to recoil slightly from the intensity of the light." | | 4 | "It reacts to the proximity of Hel portals, she said, recalling the brief explanation Isolde had given her in the back of…" | | 5 | "We are in the realm of Gluttony, Isolde corrected." | | 6 | "Time is a fluid currency here, Isolde said." | | 7 | "Great, Aurora muttered." | | 8 | "I am cautious, Aurora corrected." | | 9 | "Caution is the seasoning of survival, Isolde said." | | 10 | "Fae steel cuts through wards and flesh alike, Isolde said." | | 11 | "We need to move, Aurora said." | | 12 | "Because the ground remembers who walks upon it, Isolde said." | | 13 | "Keep moving, she said softly, mostly to herself." |
| |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 69 | | wordCount | 1377 | | uniqueNames | 17 | | maxNameDensity | 1.6 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 2 | | London | 3 | | Nyx | 9 | | Isolde | 15 | | Half-Fae | 1 | | Aurora | 22 | | Veil | 2 | | Park | 1 | | Heartstone | 3 | | Rory | 1 | | Earth | 2 | | Fae-forged | 1 | | Dymas | 2 | | Hel | 2 | | Gluttony | 1 | | Belphegor | 1 | | Seer | 1 |
| | persons | | 0 | "Nyx" | | 1 | "Isolde" | | 2 | "Aurora" | | 3 | "Veil" | | 4 | "Heartstone" | | 5 | "Rory" | | 6 | "Belphegor" | | 7 | "Seer" |
| | places | | 0 | "Richmond" | | 1 | "London" | | 2 | "Park" | | 3 | "Dymas" | | 4 | "Hel" |
| | globalScore | 0.701 | | windowScore | 0.667 | |
| 75.74% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 101 | | glossingSentenceCount | 3 | | matches | | 0 | "fruit that seemed to glow from within" | | 1 | "felt like standing in a drafty doorway" | | 2 | "felt like it was holding its breath" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1392 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 141 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 33.14 | | std | 18.54 | | cv | 0.559 | | sampleLengths | | 0 | 72 | | 1 | 36 | | 2 | 65 | | 3 | 28 | | 4 | 37 | | 5 | 68 | | 6 | 24 | | 7 | 20 | | 8 | 43 | | 9 | 43 | | 10 | 42 | | 11 | 39 | | 12 | 5 | | 13 | 61 | | 14 | 23 | | 15 | 26 | | 16 | 29 | | 17 | 30 | | 18 | 38 | | 19 | 39 | | 20 | 7 | | 21 | 44 | | 22 | 9 | | 23 | 23 | | 24 | 9 | | 25 | 33 | | 26 | 36 | | 27 | 29 | | 28 | 33 | | 29 | 3 | | 30 | 30 | | 31 | 71 | | 32 | 11 | | 33 | 24 | | 34 | 3 | | 35 | 17 | | 36 | 36 | | 37 | 60 | | 38 | 43 | | 39 | 8 | | 40 | 58 | | 41 | 37 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 141 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 234 | | matches | | 0 | "was pulsing" | | 1 | "was holding" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 2 | | flaggedSentences | 2 | | totalSentences | 141 | | ratio | 0.014 | | matches | | 0 | "The vines didn't just grow; they reached." | | 1 | "The plant didn't bleed sap; it bleed a dark, viscous fluid that smelled of old wine." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1256 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 36 | | adverbRatio | 0.028662420382165606 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.009554140127388535 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 141 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 141 | | mean | 9.87 | | std | 6.32 | | cv | 0.64 | | sampleLengths | | 0 | 27 | | 1 | 23 | | 2 | 22 | | 3 | 4 | | 4 | 17 | | 5 | 15 | | 6 | 6 | | 7 | 21 | | 8 | 21 | | 9 | 8 | | 10 | 9 | | 11 | 8 | | 12 | 2 | | 13 | 18 | | 14 | 2 | | 15 | 1 | | 16 | 2 | | 17 | 13 | | 18 | 5 | | 19 | 7 | | 20 | 4 | | 21 | 3 | | 22 | 11 | | 23 | 12 | | 24 | 9 | | 25 | 16 | | 26 | 20 | | 27 | 12 | | 28 | 6 | | 29 | 3 | | 30 | 3 | | 31 | 6 | | 32 | 9 | | 33 | 5 | | 34 | 16 | | 35 | 23 | | 36 | 4 | | 37 | 12 | | 38 | 19 | | 39 | 6 | | 40 | 6 | | 41 | 14 | | 42 | 11 | | 43 | 17 | | 44 | 9 | | 45 | 12 | | 46 | 18 | | 47 | 5 | | 48 | 6 | | 49 | 9 |
| |
| 47.28% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.3475177304964539 | | totalSentences | 141 | | uniqueOpeners | 49 | |
| 50.13% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 133 | | matches | | 0 | "Especially those who bring gifts." | | 1 | "Just what I needed." |
| | ratio | 0.015 | |
| 99.70% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 133 | | matches | | 0 | "Her voice was soft, melodic," | | 1 | "She did not sink into" | | 2 | "You want us to walk" | | 3 | "She kept her tone level," | | 4 | "Her pale lavender eyes seemed" | | 5 | "It pulsed against her sternum," | | 6 | "It had started glowing faintly" | | 7 | "It is not empty to" | | 8 | "they stretch inward." | | 9 | "She never used nicknames unless" | | 10 | "It cannot lie to you." | | 11 | "She trusted Isolde as much" | | 12 | "She took a step." | | 13 | "It was a warm, bruised" | | 14 | "She straightened, her hand tightening" | | 15 | "They stood on a ridge" | | 16 | "It was a landscape of" | | 17 | "It is beautiful, Nyx whispered," | | 18 | "It reacts to the proximity" | | 19 | "We are in the realm" |
| | ratio | 0.301 | |
| 69.02% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 104 | | totalSentences | 133 | | matches | | 0 | "The air inside the Richmond" | | 1 | "Aurora stopped at the line" | | 2 | "The moonsilver was cold, even" | | 3 | "The shadowy figure rippled, their" | | 4 | "The faint violet glow of" | | 5 | "The threshold is here, Isolde" | | 6 | "Her voice was soft, melodic," | | 7 | "The Half-Fae seer stood barefoot" | | 8 | "She did not sink into" | | 9 | "You want us to walk" | | 10 | "She kept her tone level," | | 11 | "Her pale lavender eyes seemed" | | 12 | "The Veil is thin here." | | 13 | "The winter solstice approaches." | | 14 | "The barrier breathes." | | 15 | "Aurora looked at the space" | | 16 | "It pulsed against her sternum," | | 17 | "It had started glowing faintly" | | 18 | "Nyx stepped forward, their voice" | | 19 | "It is not empty to" |
| | ratio | 0.782 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 133 | | matches | | 0 | "To her human eyes, it" | | 1 | "As if on cue, the" | | 2 | "Because the ground remembers who" |
| | ratio | 0.023 | |
| 68.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 58 | | technicalSentenceCount | 6 | | matches | | 0 | "Her voice was soft, melodic, yet it carried over the rustle of the year-round wildflowers that carpeted the ground around them." | | 1 | "It pulsed against her sternum, a rhythmic heat that matched the beating of her own heart." | | 2 | "Nyx stepped forward, their voice sounding like dry leaves skittering over pavement." | | 3 | "Vines as thick as tree trunks twisted across the landscape, heavy with grapes the size of fist-sized plums that gleamed like polished amethysts." | | 4 | "The Heartstone pulsed against her chest, a steady rhythm in a world that felt like it was holding its breath." | | 5 | "Aurora stepped carefully, avoiding the places where the grass seemed too still, listening to the whisper of the wind that wasn't wind, and feeling the heat of t…" |
| |
| 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 | |