| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 25 | | tagDensity | 0.48 | | leniency | 0.96 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 69.49% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1147 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "softly" | | 1 | "slightly" | | 2 | "very" | | 3 | "gently" | | 4 | "perfectly" |
| |
| 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) | |
| 52.05% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1147 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "resolved" | | 1 | "whisper" | | 2 | "weight" | | 3 | "pulsed" | | 4 | "comforting" | | 5 | "footfall" | | 6 | "pulse" | | 7 | "footsteps" | | 8 | "chill" | | 9 | "lurch" |
| |
| 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 | 58 | | matches | (empty) | |
| 93.60% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 58 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 69 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 60 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1160 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 979 | | uniqueNames | 8 | | maxNameDensity | 0.92 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 9 | | Eva | 8 | | November | 2 | | Heartstone | 2 | | Hel | 1 | | Nyx | 3 | | Courts | 1 | | Time | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Eva" | | 2 | "Heartstone" | | 3 | "Nyx" | | 4 | "Time" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 27.59% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.724 | | wordCount | 1160 | | matches | | 0 | "not from a mouth but from everywhere at once, a whisper threaded through the bran" | | 1 | "Not the ordinary cold of metal, but a deep, aching chill" |
| |
| 21.74% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 3 | | totalSentences | 69 | | matches | | 0 | "saw that her" | | 1 | "read that much" | | 2 | "beginning that wound" |
| |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 41.43 | | std | 27.64 | | cv | 0.667 | | sampleLengths | | 0 | 25 | | 1 | 9 | | 2 | 43 | | 3 | 65 | | 4 | 18 | | 5 | 49 | | 6 | 53 | | 7 | 43 | | 8 | 3 | | 9 | 46 | | 10 | 3 | | 11 | 70 | | 12 | 10 | | 13 | 115 | | 14 | 14 | | 15 | 79 | | 16 | 15 | | 17 | 58 | | 18 | 78 | | 19 | 12 | | 20 | 56 | | 21 | 66 | | 22 | 8 | | 23 | 15 | | 24 | 52 | | 25 | 41 | | 26 | 56 | | 27 | 58 |
| |
| 99.21% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 58 | | matches | | |
| 67.55% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 151 | | matches | | 0 | "was looking" | | 1 | "was walking" | | 2 | "was looking" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 1 | | flaggedSentences | 11 | | totalSentences | 69 | | ratio | 0.159 | | matches | | 0 | "She was looking at the air between the stones — the way it shivered, faintly, like heat off summer tarmac, though it was the second week of November and her breath hung in clouds." | | 1 | "The Heartstone hadn't pulsed since they'd entered the park — this wasn't a Hel portal — but it felt warmer than her skin, the way a held hand stays warm." | | 2 | "The shimmer between the stones resisted for a heartbeat — a faint, cool pressure, like pressing a palm against the surface of a pond from beneath — and then it gave, and her hand vanished to the wrist into nothing she could name." | | 3 | "That was the first thing — the November bite, the damp seeping through her boots, gone between one footfall and the next, replaced by warm air that smelled of crushed green things and honey." | | 4 | "It came instead from the grass, which glowed a soft silver-green underfoot, and from the flowers — and there were flowers everywhere, impossibly, in defiance of the season: foxgloves taller than Eva, bluebells the color of deep water, blooms she had no names for that turned their faces toward her as she passed, slow as sunflowers, slow as something watching." | | 5 | "There were stars, but they were wrong — too many, too close, wheeling in slow spirals like leaves caught in a drain, and among them drifted things that might have been clouds or might have been continents, vast and luminous and very far away." | | 6 | "The grass made no sound under Aurora's boots, swallowing her footsteps whole, and when she glanced back she saw that her trail had already smoothed itself away — no bent stems, no crushed flowers, nothing to say she'd been there at all." | | 7 | "Isolde's gift, Nyx had called it, when the blade had arrived on her doorstep with no note three days ago — moonsilver, leaf-shaped, faintly glowing now in this sourceless light." | | 8 | "Time moved strangely here; she'd read that much in the brittle pages Nyx had shown her." | | 9 | "A sound reached them then — water, the silver chatter of a stream — and beneath it, something that lifted the hair on Aurora's arms: music." | | 10 | "She was seated on a stone with her silver hair pooling around her in the grass, and she was looking up at them already, pale lavender eyes catching the glow, as though she had been watching them approach since long before they arrived — perhaps, Aurora thought with a lurch, since long before they were born." |
| |
| 92.92% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 970 | | adjectiveStacks | 1 | | stackExamples | | 0 | "soft silver-green underfoot," |
| | adverbCount | 40 | | adverbRatio | 0.041237113402061855 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.012371134020618556 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 69 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 69 | | mean | 16.81 | | std | 13.6 | | cv | 0.809 | | sampleLengths | | 0 | 25 | | 1 | 5 | | 2 | 4 | | 3 | 10 | | 4 | 33 | | 5 | 3 | | 6 | 34 | | 7 | 28 | | 8 | 18 | | 9 | 6 | | 10 | 23 | | 11 | 10 | | 12 | 10 | | 13 | 23 | | 14 | 30 | | 15 | 16 | | 16 | 27 | | 17 | 3 | | 18 | 3 | | 19 | 43 | | 20 | 3 | | 21 | 6 | | 22 | 34 | | 23 | 30 | | 24 | 10 | | 25 | 14 | | 26 | 33 | | 27 | 8 | | 28 | 60 | | 29 | 9 | | 30 | 5 | | 31 | 3 | | 32 | 44 | | 33 | 32 | | 34 | 8 | | 35 | 7 | | 36 | 2 | | 37 | 42 | | 38 | 3 | | 39 | 11 | | 40 | 8 | | 41 | 20 | | 42 | 30 | | 43 | 10 | | 44 | 10 | | 45 | 9 | | 46 | 3 | | 47 | 7 | | 48 | 16 | | 49 | 11 |
| |
| 77.78% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4927536231884058 | | totalSentences | 69 | | uniqueOpeners | 34 | |
| 62.89% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 53 | | matches | | 0 | "Then she opened her eyes" |
| | ratio | 0.019 | |
| 99.25% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 53 | | matches | | 0 | "She was looking at the" | | 1 | "Their voice arrived the way" | | 2 | "She stepped through." | | 3 | "She heard Eva swear softly" | | 4 | "It rolled away in every" | | 5 | "It came instead from the" | | 6 | "She looked up." | | 7 | "she heard herself say" | | 8 | "She wondered if that was" | | 9 | "She thought of her mother's" | | 10 | "Her friend blinked, shuddered, came" | | 11 | "She didn't know how she" | | 12 | "She knew it the way" | | 13 | "They crested a low rise" | | 14 | "She was seated on a" | | 15 | "Her voice was low, amused," |
| | ratio | 0.302 | |
| 54.34% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 43 | | totalSentences | 53 | | matches | | 0 | "The oak standing stones rose" | | 1 | "Aurora didn't answer." | | 2 | "She was looking at the" | | 3 | "That dark detached from the" | | 4 | "Their voice arrived the way" | | 5 | "Aurora's hand drifted to her" | | 6 | "The Heartstone hadn't pulsed since" | | 7 | "A pause, the violet eyes" | | 8 | "Aurora reached out." | | 9 | "The shimmer between the stones" | | 10 | "She stepped through." | | 11 | "The cold left her at" | | 12 | "That was the first thing" | | 13 | "She heard Eva swear softly" | | 14 | "The clearing should not have" | | 15 | "It rolled away in every" | | 16 | "Light came from no sun" | | 17 | "It came instead from the" | | 18 | "Eva had grabbed a fistful" | | 19 | "She looked up." |
| | ratio | 0.811 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 53 | | matches | | 0 | "To her right, where the" | | 1 | "While she watched, one of" |
| | ratio | 0.038 | |
| 8.93% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 6 | | matches | | 0 | "That was the first thing — the November bite, the damp seeping through her boots, gone between one footfall and the next, replaced by warm air that smelled of c…" | | 1 | "She heard Eva swear softly somewhere behind and beside her, the words arriving slightly out of order, as though sound itself had to learn a new way to travel he…" | | 2 | "It came instead from the grass, which glowed a soft silver-green underfoot, and from the flowers — and there were flowers everywhere, impossibly, in defiance of…" | | 3 | "There were stars, but they were wrong — too many, too close, wheeling in slow spirals like leaves caught in a drain, and among them drifted things that might ha…" | | 4 | "A sound reached them then — water, the silver chatter of a stream — and beneath it, something that lifted the hair on Aurora's arms: music." | | 5 | "She was seated on a stone with her silver hair pooling around her in the grass, and she was looking up at them already, pale lavender eyes catching the glow, as…" |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 70.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "Eva muttered (mutter)" | | 1 | "Eva whispered (whisper)" |
| | dialogueSentences | 25 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.4 | | effectiveRatio | 0.16 | |