| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 17 | | tagDensity | 0.529 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 81.58% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1357 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "inexorably" | | 1 | "softly" | | 2 | "very" | | 3 | "slightly" | | 4 | "lightly" |
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| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1357 | | totalAiIsms | 30 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | |
| | highlights | | 0 | "silk" | | 1 | "familiar" | | 2 | "measured" | | 3 | "weight" | | 4 | "pulsed" | | 5 | "warmth" | | 6 | "scanning" | | 7 | "whisper" | | 8 | "shimmered" | | 9 | "fractured" | | 10 | "unreadable" | | 11 | "stark" | | 12 | "crystal" | | 13 | "rhythmic" | | 14 | "perfect" | | 15 | "electric" | | 16 | "tapestry" | | 17 | "etched" | | 18 | "magnetic" | | 19 | "reminder" | | 20 | "depths" | | 21 | "structure" | | 22 | "traced" |
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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 | 70 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 70 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 78 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1356 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 79.46% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 1205 | | uniqueNames | 15 | | maxNameDensity | 1.41 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Veil | 1 | | English | 1 | | Heartstone | 1 | | Pendant | 1 | | London | 2 | | Evan | 1 | | Aurora | 17 | | Dymas | 1 | | Gluttony | 1 | | Fae-Forged | 1 | | Blade | 1 | | Nyx | 8 | | Fae | 2 | | Hel | 1 | | Shade | 1 |
| | persons | | 0 | "Veil" | | 1 | "Evan" | | 2 | "Aurora" | | 3 | "Blade" | | 4 | "Nyx" |
| | places | | | globalScore | 0.795 | | windowScore | 0.833 | |
| 38.06% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 3 | | matches | | 0 | "sounded like cello strings spun from gold" | | 1 | "looked like obsidian but felt warm to the" | | 2 | "patterns that seemed to shift and writhe when viewed from the corner of the eye" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.737 | | wordCount | 1356 | | matches | | 0 | "not as a holy relic, but as a structure" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 78 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 22 | | mean | 61.64 | | std | 32.54 | | cv | 0.528 | | sampleLengths | | 0 | 12 | | 1 | 64 | | 2 | 99 | | 3 | 39 | | 4 | 65 | | 5 | 24 | | 6 | 61 | | 7 | 125 | | 8 | 15 | | 9 | 79 | | 10 | 74 | | 11 | 19 | | 12 | 110 | | 13 | 25 | | 14 | 97 | | 15 | 74 | | 16 | 26 | | 17 | 44 | | 18 | 87 | | 19 | 69 | | 20 | 48 | | 21 | 100 |
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| 95.24% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 70 | | matches | | 0 | "being prepared" | | 1 | "was etched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 176 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 3 | | flaggedSentences | 5 | | totalSentences | 78 | | ratio | 0.064 | | matches | | 0 | "The air did not merely shift when the Veil parted; it tore." | | 1 | "To the mortal eye, they might have been a trick of the light—a shadow cast by nothing in particular." | | 2 | "The warmth was no longer just a signal; it was a physical pull, a magnetic drag that tugged at her center of gravity." | | 3 | "The air around the stone shimmered, a faint distortion visible only to those with the sight—a reminder of the thin, fragile barrier between the mortal plane and the depths of Hel." | | 4 | "She wasn't a sorcerer or a Shade; she was a delivery driver from London with a law degree and a head for puzzles." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1216 | | adjectiveStacks | 2 | | stackExamples | | 0 | "small crescent-shaped scar" | | 1 | "distant, sugar-pulled towers" |
| | adverbCount | 29 | | adverbRatio | 0.023848684210526317 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.012335526315789474 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 78 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 78 | | mean | 17.38 | | std | 7.73 | | cv | 0.444 | | sampleLengths | | 0 | 12 | | 1 | 28 | | 2 | 15 | | 3 | 21 | | 4 | 12 | | 5 | 27 | | 6 | 25 | | 7 | 15 | | 8 | 20 | | 9 | 13 | | 10 | 26 | | 11 | 7 | | 12 | 19 | | 13 | 4 | | 14 | 18 | | 15 | 17 | | 16 | 15 | | 17 | 9 | | 18 | 9 | | 19 | 24 | | 20 | 17 | | 21 | 11 | | 22 | 27 | | 23 | 21 | | 24 | 30 | | 25 | 25 | | 26 | 9 | | 27 | 13 | | 28 | 12 | | 29 | 3 | | 30 | 16 | | 31 | 15 | | 32 | 27 | | 33 | 21 | | 34 | 19 | | 35 | 14 | | 36 | 21 | | 37 | 20 | | 38 | 15 | | 39 | 4 | | 40 | 6 | | 41 | 7 | | 42 | 14 | | 43 | 10 | | 44 | 9 | | 45 | 24 | | 46 | 40 | | 47 | 11 | | 48 | 14 | | 49 | 8 |
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| 58.97% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.38461538461538464 | | totalSentences | 78 | | uniqueOpeners | 30 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 68 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 68 | | matches | | 0 | "It was thick and warm," | | 1 | "She instinctively reached down, her" | | 2 | "Her bright blue eyes swept" | | 3 | "Their faintly glowing eyes, amethysts" | | 4 | "It was a valley of" | | 5 | "She swallowed hard, shaking off" | | 6 | "She reached to her hip," | | 7 | "They reached out a shadowy" | | 8 | "They moved deeper into the" | | 9 | "It was music, but not" | | 10 | "It was the terrifying perfection" | | 11 | "They reached the edge of" | | 12 | "It was etched with spiraling" | | 13 | "She took a cautious step" | | 14 | "She wasn't a sorcerer or" | | 15 | "She looked at the monolith" | | 16 | "She traced the shifting runes," | | 17 | "She pushed forward, her boots" |
| | ratio | 0.265 | |
| 40.88% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 68 | | matches | | 0 | "The air did not merely" | | 1 | "Aurora felt the metaphysical barrier" | | 2 | "The next, the ground beneath" | | 3 | "Aurora took a measured breath," | | 4 | "It was thick and warm," | | 5 | "The heat hit her skin," | | 6 | "She instinctively reached down, her" | | 7 | "Aurora murmured, her voice sounding" | | 8 | "Her bright blue eyes swept" | | 9 | "Nyx drifted beside her, their" | | 10 | "Nyx's form shifted fluidly between" | | 11 | "Their faintly glowing eyes, amethysts" | | 12 | "Nyx whispered, their voice sounding" | | 13 | "Aurora nodded, shifting her boot" | | 14 | "Every step sent a slight" | | 15 | "It was a valley of" | | 16 | "Vineyards stretched as far as" | | 17 | "The leaves, the size of" | | 18 | "Clusters of grapes hung low," | | 19 | "The very air tasted of" |
| | ratio | 0.838 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 68 | | matches | | 0 | "To the mortal eye, they" | | 1 | "Now, a low, seductive melody" |
| | ratio | 0.029 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 52 | | technicalSentenceCount | 11 | | matches | | 0 | "Aurora felt the metaphysical barrier rip open like a sheet of silk catching on a jagged nail, a soundless snap that rippled through the bones of her skull." | | 1 | "The next, the ground beneath her boots yielded with an unsettling, springy softness, as if she were walking on living flesh." | | 2 | "Her bright blue eyes swept the horizon, scanning for threats with the cool, analytical focus that had kept her alive through London's grit and Evan's cruelty." | | 3 | "Every step sent a slight tremor through the soil, which was dark, rich, and impossibly deep, releasing a musky, earthy scent with every displacement." | | 4 | "Ahead of them, the landscape undulated in rolling hills that defied the natural topography of any map." | | 5 | "The leaves, the size of tablecloths, shimmered with a metallic, iridescent sheen that caught the light and fractured it into rainbows." | | 6 | "Clusters of grapes hung low, swollen to the size of oranges, their skins tight and dark purple, weeping drops of viscous juice that hissed softly as they struck…" | | 7 | "The very air tasted of sweetness, a sugar-thick sweetness that coated the back of Aurora's throat and stirred a sudden, clawing hunger in her belly." | | 8 | "The petals were the color of bruised flesh and deep crimson, their centers bright with an electric blue energy that matched the glow of Nyx's eyes." | | 9 | "They reached the edge of a clearing where the ground flattened into a smooth, polished surface that looked like obsidian but felt warm to the touch when Aurora …" | | 10 | "Aurora nodded, her bright blue eyes locking onto the path that curved away from the monolith, winding between the pulsing, bioluminescent flowers toward distant…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 5 | | matches | | 0 | "Aurora murmured, her voice sounding too sharp in the muffled air" | | 1 | "Nyx whispered, their voice sounding like dry leaves skittering across stone" | | 2 | "Nyx noted, their whisper carrying a tone of ancient distaste" | | 3 | "Aurora murmured, her analytical mind taking over as she studied the stonework" | | 4 | "Aurora said, her voice steady despite the thrumming in her chest" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 6 | | fancyTags | | 0 | "Aurora murmured (murmur)" | | 1 | "Nyx whispered (whisper)" | | 2 | "Nyx observed (observe)" | | 3 | "Nyx noted (note)" | | 4 | "Aurora murmured (murmur)" | | 5 | "they whispered (whisper)" |
| | dialogueSentences | 17 | | tagDensity | 0.471 | | leniency | 0.941 | | rawRatio | 0.75 | | effectiveRatio | 0.706 | |