| 88.89% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 2 | | adverbTags | | 0 | "He turned back [back]" | | 1 | "Nyx said softly [softly]" |
| | dialogueSentences | 31 | | tagDensity | 0.581 | | leniency | 1 | | rawRatio | 0.111 | | effectiveRatio | 0.111 | |
| 75.29% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1214 | | totalAiIsmAdverbs | 6 | | found | | 0 | | | 1 | | | 2 | | adverb | "deliberately" | | count | 1 |
| | 3 | |
| | highlights | | 0 | "slightly" | | 1 | "very" | | 2 | "deliberately" | | 3 | "softly" |
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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) | |
| 71.17% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1214 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "whisper" | | 1 | "perfect" | | 2 | "profound" | | 3 | "marble" | | 4 | "shimmered" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 82 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 82 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 95 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 59 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1230 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 79.15% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 988 | | uniqueNames | 6 | | maxNameDensity | 1.42 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 14 | | Heartstone | 2 | | Isolde | 7 | | Sunday | 1 | | Nyx | 5 | | Accusation | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Heartstone" | | 2 | "Isolde" | | 3 | "Nyx" |
| | places | (empty) | | globalScore | 0.791 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 1 | | matches | | 0 | "smelled like every good memory she owned" |
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| 37.40% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.626 | | wordCount | 1230 | | matches | | 0 | "not sunset, not fire, but a permanent warm dusk, as though the whole realm sat inside" | | 1 | "not fire, but a permanent warm dusk, as though the whole realm sat inside" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 95 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 31.54 | | std | 25.86 | | cv | 0.82 | | sampleLengths | | 0 | 12 | | 1 | 54 | | 2 | 30 | | 3 | 21 | | 4 | 28 | | 5 | 78 | | 6 | 10 | | 7 | 30 | | 8 | 46 | | 9 | 17 | | 10 | 85 | | 11 | 4 | | 12 | 62 | | 13 | 7 | | 14 | 3 | | 15 | 45 | | 16 | 25 | | 17 | 8 | | 18 | 47 | | 19 | 8 | | 20 | 5 | | 21 | 76 | | 22 | 14 | | 23 | 11 | | 24 | 37 | | 25 | 9 | | 26 | 69 | | 27 | 68 | | 28 | 25 | | 29 | 6 | | 30 | 3 | | 31 | 14 | | 32 | 10 | | 33 | 28 | | 34 | 60 | | 35 | 18 | | 36 | 75 | | 37 | 76 | | 38 | 6 |
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| 96.71% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 82 | | matches | | 0 | "being fed" | | 1 | "been sewn" | | 2 | "was carried" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 178 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 15 | | semicolonCount | 0 | | flaggedSentences | 12 | | totalSentences | 95 | | ratio | 0.126 | | matches | | 0 | "She stumbled, caught herself against a trellis heavy with fruit she couldn't name — pale orbs the size of her fist, their skins translucent, something dark and wet pulsing at their cores." | | 1 | "The sky burned amber — not sunset, not fire, but a permanent warm dusk, as though the whole realm sat inside a lantern." | | 2 | "It was voices — hundreds, maybe thousands — raised in song, in argument, in laughter, all of it blurred together into a low roar that rose and fell like breathing." | | 3 | "Fires burned in pits the size of small lakes, and over them turned spits laden with things she couldn't identify — great sides of meat glazed to a mirror shine, whole birds with too many legs, fish the length of cars split open and stuffed with fruit." | | 4 | "Long, groaning slabs of wood set with plates of gold and horn, heaped with food that steamed and glistened and — Aurora clenched her jaw — smelled like every good memory she owned." | | 5 | "A figure approached between the tables — a man in a stained chef's coat, tall, gaunt, with burn scars up both arms and an expression of profound exhaustion." | | 6 | "The roar of voices thickened, and with it came music — something stringed, something struck, a rhythm that got into Aurora's knees and made her want to sway." | | 7 | "Figures filled every bench — some nearly human, some not remotely." | | 8 | "Aurora hissed and gripped it through her shirt — hot enough now to sting." | | 9 | "Where the air shimmered — faint, distorted, a heat-haze ripple that Aurora found she could see, now that she looked, like water standing upright." | | 10 | "Her voice had changed — the riddles stripped out of it, something older underneath." | | 11 | "The crowd roared as the glowing blue dish was carried towards the golden doors, and every head in the pavilion turned to follow it — four-armed, thread-mouthed, porcine, rapt — and she felt the pull of it again, the honeyed hook in her gut, and understood with cold clarity that the hook was not in her gut at all." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 983 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 35 | | adverbRatio | 0.03560528992878942 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.008138351983723296 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 95 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 95 | | mean | 12.95 | | std | 11.26 | | cv | 0.869 | | sampleLengths | | 0 | 12 | | 1 | 32 | | 2 | 22 | | 3 | 5 | | 4 | 19 | | 5 | 6 | | 6 | 3 | | 7 | 18 | | 8 | 15 | | 9 | 13 | | 10 | 23 | | 11 | 2 | | 12 | 2 | | 13 | 29 | | 14 | 5 | | 15 | 2 | | 16 | 2 | | 17 | 13 | | 18 | 10 | | 19 | 16 | | 20 | 14 | | 21 | 13 | | 22 | 3 | | 23 | 30 | | 24 | 14 | | 25 | 3 | | 26 | 18 | | 27 | 20 | | 28 | 47 | | 29 | 4 | | 30 | 5 | | 31 | 33 | | 32 | 4 | | 33 | 4 | | 34 | 9 | | 35 | 7 | | 36 | 7 | | 37 | 3 | | 38 | 28 | | 39 | 14 | | 40 | 3 | | 41 | 19 | | 42 | 6 | | 43 | 8 | | 44 | 28 | | 45 | 12 | | 46 | 7 | | 47 | 5 | | 48 | 3 | | 49 | 5 |
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| 79.65% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.5157894736842106 | | totalSentences | 95 | | uniqueOpeners | 49 | |
| 48.31% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 69 | | matches | | 0 | "Just that glowing haze pressing" |
| | ratio | 0.014 | |
| 98.26% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 69 | | matches | | 0 | "She stumbled, caught herself against" | | 1 | "She stood untouched by the" | | 2 | "they murmured, whisper-voice carried on" | | 3 | "They caught the amber light" | | 4 | "They followed the rows downhill," | | 5 | "It wasn't wind." | | 6 | "It was voices — hundreds," | | 7 | "They stretched to the horizon." | | 8 | "Her mother's Sunday roast." | | 9 | "It pulled at her gut" | | 10 | "They placed a cool, half-solid" | | 11 | "Her mouth flooded." | | 12 | "She dug her nails into" | | 13 | "His eyes passed over Isolde," | | 14 | "He wiped his hands on" | | 15 | "He turned back towards the" | | 16 | "He said it the way" | | 17 | "They moved east, deeper." | | 18 | "She planted each step deliberately." | | 19 | "Her voice had changed —" |
| | ratio | 0.304 | |
| 32.46% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 69 | | matches | | 0 | "The portal spat Aurora onto" | | 1 | "She stumbled, caught herself against" | | 2 | "The Heartstone at her throat" | | 3 | "She stood untouched by the" | | 4 | "Aurora stepped back." | | 5 | "The soil under her boots" | | 6 | "Nyx unfolded from her shadow" | | 7 | "they murmured, whisper-voice carried on" | | 8 | "The sky burned amber —" | | 9 | "The grapes themselves were wrong." | | 10 | "They caught the amber light" | | 11 | "Aurora said, and hated that" | | 12 | "Isolde moved forward, feet leaving" | | 13 | "They followed the rows downhill," | | 14 | "It wasn't wind." | | 15 | "It was voices — hundreds," | | 16 | "The trellises gave way to" | | 17 | "Aurora stopped walking." | | 18 | "Towers of bone-white stone spiralled" | | 19 | "Fires burned in pits the" |
| | ratio | 0.855 | |
| 72.46% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 69 | | matches | | 0 | "To the tall doors behind" |
| | ratio | 0.014 | |
| 23.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 6 | | matches | | 0 | "The sky burned amber — not sunset, not fire, but a permanent warm dusk, as though the whole realm sat inside a lantern." | | 1 | "Just that glowing haze pressing down over vineyards that rolled away in every direction, row upon row of vines so thick with grapes the branches bent to the gro…" | | 2 | "Towers of bone-white stone spiralled up from the fields, wrapped in flowering vines, their windows spilling golden light." | | 3 | "Between them stretched pavilions of dark wood and copper, canvas roofs dyed in colours that had no business existing together." | | 4 | "Long, groaning slabs of wood set with plates of gold and horn, heaped with food that steamed and glistened and — Aurora clenched her jaw — smelled like every go…" | | 5 | "Aurora watched the backwards-fingered chef plate something that glowed faintly blue." |
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| 97.22% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 1 | | matches | | 0 | "Isolde moved, feet leaving nothing behind on the black soil" |
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| 53.23% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 3 | | fancyTags | | 0 | "they murmured (murmur)" | | 1 | "the chef muttered (mutter)" | | 2 | "Nyx breathed (breathe)" |
| | dialogueSentences | 31 | | tagDensity | 0.452 | | leniency | 0.903 | | rawRatio | 0.214 | | effectiveRatio | 0.194 | |