| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 39 | | tagDensity | 0.41 | | leniency | 0.821 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1341 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 81.36% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1341 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "warmth" | | 1 | "stomach" | | 2 | "pulsed" | | 3 | "pulse" |
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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 | 71 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 71 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 94 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1349 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 86.15% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 1018 | | uniqueNames | 12 | | maxNameDensity | 1.28 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Veil | 2 | | Aurora | 13 | | Yu-Fei | 2 | | Isolde | 4 | | Cardiff | 1 | | Sunday | 1 | | Eva | 1 | | Leeds | 1 | | Heartstone | 2 | | Hall | 3 | | Fae | 1 | | Nyx | 4 |
| | persons | | 0 | "Veil" | | 1 | "Aurora" | | 2 | "Yu-Fei" | | 3 | "Isolde" | | 4 | "Eva" | | 5 | "Heartstone" | | 6 | "Nyx" |
| | places | | 0 | "Cardiff" | | 1 | "Leeds" | | 2 | "Hall" |
| | globalScore | 0.861 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1349 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 94 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 28.7 | | std | 21.77 | | cv | 0.758 | | sampleLengths | | 0 | 21 | | 1 | 54 | | 2 | 42 | | 3 | 6 | | 4 | 16 | | 5 | 3 | | 6 | 35 | | 7 | 48 | | 8 | 46 | | 9 | 8 | | 10 | 54 | | 11 | 16 | | 12 | 23 | | 13 | 69 | | 14 | 12 | | 15 | 9 | | 16 | 5 | | 17 | 14 | | 18 | 43 | | 19 | 38 | | 20 | 19 | | 21 | 54 | | 22 | 4 | | 23 | 4 | | 24 | 17 | | 25 | 60 | | 26 | 29 | | 27 | 6 | | 28 | 48 | | 29 | 2 | | 30 | 72 | | 31 | 37 | | 32 | 12 | | 33 | 2 | | 34 | 32 | | 35 | 11 | | 36 | 78 | | 37 | 8 | | 38 | 73 | | 39 | 20 | | 40 | 43 | | 41 | 28 | | 42 | 51 | | 43 | 30 | | 44 | 5 | | 45 | 5 | | 46 | 37 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 71 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 159 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 94 | | ratio | 0.064 | | matches | | 0 | "The smells came in layers, each one thicker than the last — cinnamon smoke, yeast, honey, fat turning on a spit somewhere beyond the slope." | | 1 | "A plum, dark as a bruise, and from it rose a smell she knew better than her own handwriting — her mother's cawl, lamb and leek, the Cardiff kitchen on a wet Sunday, steam on the window and her father's voice in the hall." | | 2 | "Past the river, fields stretched where the wheat had given up pretending — loaves grew straight off the stalk, crusted and steaming, rows of them to the horizon." | | 3 | "Even at this distance Aurora caught the wrongness of them — smiles with too much architecture, laughter that went on one breath past the joke." | | 4 | "Her delivery brain mapped it without permission — a pass that long would need forty runners, a kitchen the size of a city block, a hierarchy deeper than anything Yu-Fei ever dreamed of." | | 5 | "It burned against her sternum, steady, insistent, pulling toward the Hall the way a compass pulls north — whatever they'd crossed the Veil to find lay down there, under the vine-light, among the smiles." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1021 | | adjectiveStacks | 1 | | stackExamples | | 0 | "long green-black tiers," |
| | adverbCount | 18 | | adverbRatio | 0.01762977473065622 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 94 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 94 | | mean | 14.35 | | std | 10.24 | | cv | 0.714 | | sampleLengths | | 0 | 21 | | 1 | 4 | | 2 | 7 | | 3 | 32 | | 4 | 11 | | 5 | 4 | | 6 | 38 | | 7 | 3 | | 8 | 3 | | 9 | 16 | | 10 | 3 | | 11 | 16 | | 12 | 2 | | 13 | 4 | | 14 | 13 | | 15 | 22 | | 16 | 16 | | 17 | 10 | | 18 | 18 | | 19 | 13 | | 20 | 15 | | 21 | 8 | | 22 | 6 | | 23 | 25 | | 24 | 7 | | 25 | 5 | | 26 | 11 | | 27 | 13 | | 28 | 3 | | 29 | 15 | | 30 | 8 | | 31 | 9 | | 32 | 16 | | 33 | 44 | | 34 | 12 | | 35 | 9 | | 36 | 5 | | 37 | 14 | | 38 | 16 | | 39 | 9 | | 40 | 18 | | 41 | 31 | | 42 | 7 | | 43 | 19 | | 44 | 8 | | 45 | 13 | | 46 | 10 | | 47 | 23 | | 48 | 4 | | 49 | 4 |
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| 91.84% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5638297872340425 | | totalSentences | 94 | | uniqueOpeners | 53 | |
| 52.91% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 63 | | matches | | 0 | "Somewhere deeper in the orchard," |
| | ratio | 0.016 | |
| 86.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 63 | | matches | | 0 | "She shrugged out of her" | | 1 | "She looked down to fix" | | 2 | "She lifted her hand." | | 3 | "Their tall outline had gone" | | 4 | "They went down between the" | | 5 | "She'd eaten before they crossed." | | 6 | "she said, naming it before" | | 7 | "Her hand was already reaching" | | 8 | "She swept it through the" | | 9 | "He looked them over the" | | 10 | "His accent had Leeds in" | | 11 | "He snipped a glowing cluster" | | 12 | "His shears stopped." | | 13 | "He stepped closer, and his" | | 14 | "His thumb found the small" | | 15 | "His gaze dropped to her" | | 16 | "He let go of her" | | 17 | "They climbed the next rise" | | 18 | "Her delivery brain mapped it" | | 19 | "She tucked the Heartstone under" |
| | ratio | 0.333 | |
| 15.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 63 | | matches | | 0 | "The Veil closed behind them" | | 1 | "Heat took its place." | | 2 | "The light came from the" | | 3 | "She shrugged out of her" | | 4 | "Richmond's frost had vanished." | | 5 | "Vineyards stepped down the slope" | | 6 | "Nothing cleverer came." | | 7 | "She looked down to fix" | | 8 | "The ground beneath her boots," | | 9 | "She lifted her hand." | | 10 | "The light accepted it from" | | 11 | "Isolde stood a few paces" | | 12 | "The dust on the path" | | 13 | "Nyx's voice arrived the way" | | 14 | "Their tall outline had gone" | | 15 | "They went down between the" | | 16 | "The smells came in layers," | | 17 | "Aurora's stomach clenched hard enough" | | 18 | "She'd eaten before they crossed." | | 19 | "A full meal, out of" |
| | ratio | 0.889 | |
| 79.37% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 63 | | matches | | 0 | "Even at this distance Aurora" |
| | ratio | 0.016 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 2 | | matches | | 0 | "Vineyards stepped down the slope in long green-black tiers, and every cluster of grapes glowed from within, faint as banked coals, strung along the vines like l…" | | 1 | "Mid-forties, ginger going grey, a forearm branded with a circle of script that crawled whenever Aurora looked away from it." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 98.72% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 2 | | fancyTags | | 0 | "Nyx murmured (murmur)" | | 1 | "he breathed (breathe)" |
| | dialogueSentences | 39 | | tagDensity | 0.231 | | leniency | 0.462 | | rawRatio | 0.222 | | effectiveRatio | 0.103 | |