| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 45 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.42% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1295 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | |
| 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) | |
| 80.69% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1295 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "could feel" | | 1 | "warmth" | | 2 | "silk" | | 3 | "flickered" | | 4 | "resolved" |
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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 | 81 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 81 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 112 | | 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 | 1308 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 84.46% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 1068 | | uniqueNames | 7 | | maxNameDensity | 1.31 | | worstName | "Eva" | | maxWindowNameDensity | 2 | | worstWindowName | "Eva" | | discoveredNames | | Sheen | 1 | | Eva | 14 | | Aurora | 13 | | Nyx | 7 | | Frost | 2 | | Wildflowers | 1 | | November | 1 |
| | persons | | 0 | "Eva" | | 1 | "Aurora" | | 2 | "Nyx" | | 3 | "Frost" |
| | places | | | globalScore | 0.845 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 47.09% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.529 | | wordCount | 1308 | | matches | | 0 | "not a copse, not a stand, but eight trees spaced at intervals too even to be accidental, t" | | 1 | "not a stand, but eight trees spaced at intervals too even to be accidental, t" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 112 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 23.78 | | std | 27.13 | | cv | 1.141 | | sampleLengths | | 0 | 51 | | 1 | 8 | | 2 | 29 | | 3 | 63 | | 4 | 5 | | 5 | 3 | | 6 | 74 | | 7 | 8 | | 8 | 2 | | 9 | 5 | | 10 | 58 | | 11 | 27 | | 12 | 1 | | 13 | 1 | | 14 | 5 | | 15 | 7 | | 16 | 15 | | 17 | 4 | | 18 | 109 | | 19 | 7 | | 20 | 97 | | 21 | 16 | | 22 | 37 | | 23 | 13 | | 24 | 4 | | 25 | 9 | | 26 | 50 | | 27 | 48 | | 28 | 13 | | 29 | 12 | | 30 | 45 | | 31 | 10 | | 32 | 3 | | 33 | 3 | | 34 | 72 | | 35 | 3 | | 36 | 4 | | 37 | 23 | | 38 | 8 | | 39 | 4 | | 40 | 5 | | 41 | 47 | | 42 | 84 | | 43 | 5 | | 44 | 3 | | 45 | 3 | | 46 | 33 | | 47 | 60 | | 48 | 13 | | 49 | 5 |
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| 92.27% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 81 | | matches | | 0 | "been locked" | | 1 | "been sheared" | | 2 | "was distracted" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 178 | | matches | | 0 | "was still breathing" | | 1 | "was holding" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 1 | | flaggedSentences | 9 | | totalSentences | 112 | | ratio | 0.08 | | matches | | 0 | "The gate at Sheen had been locked since dusk, so they went over it — Eva first, boots skidding on the wet iron, then Aurora, then nothing at all, because Nyx simply thinned into the railings' shadow and reassembled on the far side like smoke deciding to be a person again." | | 1 | "The oaks came up out of the dark without warning — not a copse, not a stand, but eight trees spaced at intervals too even to be accidental, trunks so broad that Eva could have lain across one and not reached the far edge." | | 2 | "No branches, either, above a certain height; they'd been sheared flat, ancient wounds grown over into smooth grey caps, so the trees stood like pillars holding up nothing." | | 3 | "Not warmth exactly — no sun, no fire — but the absence of any reason to be cold, air at the temperature of skin, so that she couldn't feel it entering her lungs at all and had to check she was still breathing." | | 4 | "Aurora took a step and the moss exhaled beneath her — a soft, warm sigh of released air, and the smell it released was nectar and cut apple and, underneath, wet stone." | | 5 | "Aurora counted her paces out of habit and lost count at two hundred, not because she was distracted but because the numbers themselves kept slipping — she'd say ninety-one and hear herself say it, and then be at ninety-one again." | | 6 | "Worn, the way a coin wears, features half-erased by centuries of that gentle uphill current — a brow here, the suggestion of a mouth, a thousand of them, layered down into the dark of the bed." | | 7 | "The date flickered — the fourteenth, the ninth, a number that had four digits in it — and she shoved the phone in her pocket and kept her hand there, pressed flat against her thigh." | | 8 | "Moths — palm-sized, wings like stained glass held to a candle — rising off the flowers in clouds, and each wingbeat rang, a struck-glass note, so that the swarm made chords as it moved." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 530 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.03018867924528302 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.009433962264150943 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 112 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 112 | | mean | 11.68 | | std | 12.48 | | cv | 1.069 | | sampleLengths | | 0 | 51 | | 1 | 8 | | 2 | 22 | | 3 | 7 | | 4 | 4 | | 5 | 35 | | 6 | 6 | | 7 | 18 | | 8 | 5 | | 9 | 3 | | 10 | 44 | | 11 | 2 | | 12 | 28 | | 13 | 5 | | 14 | 3 | | 15 | 2 | | 16 | 5 | | 17 | 2 | | 18 | 34 | | 19 | 22 | | 20 | 8 | | 21 | 19 | | 22 | 1 | | 23 | 1 | | 24 | 5 | | 25 | 5 | | 26 | 2 | | 27 | 9 | | 28 | 6 | | 29 | 4 | | 30 | 11 | | 31 | 43 | | 32 | 3 | | 33 | 20 | | 34 | 14 | | 35 | 1 | | 36 | 4 | | 37 | 13 | | 38 | 7 | | 39 | 1 | | 40 | 30 | | 41 | 34 | | 42 | 32 | | 43 | 9 | | 44 | 7 | | 45 | 6 | | 46 | 7 | | 47 | 24 | | 48 | 4 | | 49 | 9 |
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| 74.11% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.48214285714285715 | | totalSentences | 112 | | uniqueOpeners | 54 | |
| 52.91% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 63 | | matches | | 0 | "Somewhere below and behind them," |
| | ratio | 0.016 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 11 | | totalSentences | 63 | | matches | | 0 | "She kept a hand over" | | 1 | "They gave off their own" | | 2 | "They went deeper." | | 3 | "She stopped counting." | | 4 | "It ran across their path," | | 5 | "They found the ribbons after" | | 6 | "She was holding her phone" | | 7 | "It weighed nothing." | | 8 | "Its wings, close up, showed" | | 9 | "She held very still." | | 10 | "She looked at the chair," |
| | ratio | 0.175 | |
| 79.05% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 48 | | totalSentences | 63 | | matches | | 0 | "The gate at Sheen had" | | 1 | "Nyx's voice arrived from somewhere" | | 2 | "Frost crusted the bracken." | | 3 | "Aurora's breath hung in front" | | 4 | "She kept a hand over" | | 5 | "The oaks came up out" | | 6 | "Eva stopped ten feet short." | | 7 | "Frost coated the ground right" | | 8 | "Nyx's violet eyes drifted closer." | | 9 | "Eva laughed, and the laugh" | | 10 | "Aurora stepped through first." | | 11 | "The cold went out of" | | 12 | "Sound went too." | | 13 | "The distant grumble of the" | | 14 | "Insects with no name." | | 15 | "Something that could have been" | | 16 | "Eva said, coming through behind" | | 17 | "Acres of them, knee-high, moon-white" | | 18 | "They gave off their own" | | 19 | "Aurora took a step and" |
| | ratio | 0.762 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 63 | | matches | (empty) | | ratio | 0 | |
| 95.24% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 2 | | matches | | 0 | "The distant grumble of the A308, the wind combing the grass, Eva's teeth chattering: all of it clipped off mid-note." | | 1 | "A stand of birches, silver-barked, and every branch hung with fabric: strips of silk, of dyed wool, of nylon, of something that had been a school tie." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 83.33% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 3 | | fancyTags | | 0 | "Eva whispered (whisper)" | | 1 | "Nyx murmured (murmur)" | | 2 | "she breathed (breathe)" |
| | dialogueSentences | 45 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.333 | | effectiveRatio | 0.133 | |