| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 33 | | tagDensity | 0.364 | | leniency | 0.727 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 80.83% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1304 | | totalAiIsmAdverbs | 5 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | adverb | "deliberately" | | count | 1 |
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| | highlights | | 0 | "quickly" | | 1 | "completely" | | 2 | "slightly" | | 3 | "very" | | 4 | "deliberately" |
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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) | |
| 69.33% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1304 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "warmth" | | 1 | "silence" | | 2 | "lurching" | | 3 | "resolving" | | 4 | "chill" | | 5 | "comforting" | | 6 | "pulsed" |
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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 | 1 | | narrationSentences | 80 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 80 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 101 | | 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 | 1314 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 98.81% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 1172 | | uniqueNames | 7 | | maxNameDensity | 1.02 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Veil | 1 | | Rory | 12 | | Nyx | 3 | | English | 1 | | Heartstone | 2 | | Isolde | 9 | | Fae | 1 |
| | persons | | 0 | "Rory" | | 1 | "Nyx" | | 2 | "Heartstone" | | 3 | "Isolde" |
| | places | (empty) | | globalScore | 0.988 | | windowScore | 1 | |
| 16.07% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like a chandelier someone had hung" | | 1 | "not quite follow; they turned the wrong way, left when they should have gone right, and the leaves were a deep blistered purple, veined with gold" | | 2 | "looked like exactly what she was — someth" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1314 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 101 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 26.28 | | std | 29.23 | | cv | 1.112 | | sampleLengths | | 0 | 13 | | 1 | 58 | | 2 | 9 | | 3 | 57 | | 4 | 36 | | 5 | 1 | | 6 | 2 | | 7 | 3 | | 8 | 52 | | 9 | 47 | | 10 | 4 | | 11 | 109 | | 12 | 10 | | 13 | 18 | | 14 | 8 | | 15 | 113 | | 16 | 51 | | 17 | 40 | | 18 | 3 | | 19 | 5 | | 20 | 3 | | 21 | 10 | | 22 | 6 | | 23 | 79 | | 24 | 38 | | 25 | 1 | | 26 | 40 | | 27 | 7 | | 28 | 6 | | 29 | 24 | | 30 | 1 | | 31 | 65 | | 32 | 5 | | 33 | 3 | | 34 | 8 | | 35 | 1 | | 36 | 10 | | 37 | 75 | | 38 | 19 | | 39 | 7 | | 40 | 83 | | 41 | 7 | | 42 | 6 | | 43 | 8 | | 44 | 67 | | 45 | 16 | | 46 | 40 | | 47 | 10 | | 48 | 3 | | 49 | 27 |
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| 87.72% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 80 | | matches | | 0 | "was gone" | | 1 | "was heated" | | 2 | "been asked" | | 3 | "were distracted" |
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| 53.48% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 182 | | matches | | 0 | "were looking" | | 1 | "were still cooking" | | 2 | "was standing" | | 3 | "was looking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 1 | | flaggedSentences | 9 | | totalSentences | 101 | | ratio | 0.089 | | matches | | 0 | "The second thing was the warmth — a heavy, breathing warmth that pressed against her skin like a hand." | | 1 | "Below them, orchards rolled out in orderly rows — thousands of trees, tens of thousands, arranged with the care of a garden and the scale of an army." | | 2 | "Vines climbed trellises in spirals Rory’s eye could not quite follow; they turned the wrong way, left when they should have gone right, and the leaves were a deep blistered purple, veined with gold." | | 3 | "Every few hundred yards, a stone basin stood in the open, and steam rose from each in a slow, steady ribbon, and each basin smelled of something different — one of cinnamon, one of roasted meat, one of salt and the sea." | | 4 | "The vines brushed at her shoulders as they passed, heavy with leaves, and once she reached out — she couldn’t help it — and touched a grape." | | 5 | "Dozens, at first, then hundreds — bent over the vines in the rows, tending the fruit with cloths and small silver knives, pruning and picking and setting the harvest into baskets that never seemed to fill." | | 6 | "Then he looked at the pendant at her throat, and something moved across his face — recognition, or warning, or want — and he lifted the knife and pointed, deliberately, past her shoulder, up the valley toward the copper-green roofs." | | 7 | "She was looking up the valley, and the wind had lifted her silver hair, and for a moment she looked like exactly what she was — something three hundred years old standing in a place where time ran on a different clock." | | 8 | "Up the valley, behind the copper-green roofs, a bell began to ring — a single slow note, then another, tolling in a rhythm that was not quite regular, as though whoever pulled the rope were distracted or eating or both." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 898 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.0334075723830735 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.0066815144766146995 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 101 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 101 | | mean | 13.01 | | std | 11.89 | | cv | 0.914 | | sampleLengths | | 0 | 13 | | 1 | 21 | | 2 | 21 | | 3 | 16 | | 4 | 3 | | 5 | 6 | | 6 | 19 | | 7 | 38 | | 8 | 7 | | 9 | 7 | | 10 | 22 | | 11 | 1 | | 12 | 2 | | 13 | 3 | | 14 | 6 | | 15 | 22 | | 16 | 19 | | 17 | 5 | | 18 | 2 | | 19 | 16 | | 20 | 3 | | 21 | 2 | | 22 | 6 | | 23 | 18 | | 24 | 4 | | 25 | 15 | | 26 | 26 | | 27 | 4 | | 28 | 4 | | 29 | 60 | | 30 | 3 | | 31 | 2 | | 32 | 5 | | 33 | 15 | | 34 | 3 | | 35 | 8 | | 36 | 28 | | 37 | 34 | | 38 | 9 | | 39 | 42 | | 40 | 23 | | 41 | 4 | | 42 | 3 | | 43 | 21 | | 44 | 9 | | 45 | 22 | | 46 | 9 | | 47 | 3 | | 48 | 5 | | 49 | 3 |
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| 72.61% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.49504950495049505 | | totalSentences | 101 | | uniqueOpeners | 50 | |
| 95.24% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 70 | | matches | | 0 | "Then he looked at the" | | 1 | "Then he went back to" |
| | ratio | 0.029 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 70 | | matches | | 0 | "They crossed at dusk, when" | | 1 | "She parted the air with" | | 2 | "She touched the pendant at" | | 3 | "She stepped through." | | 4 | "She opened her eyes." | | 5 | "It was all she had." | | 6 | "They stood at the head" | | 7 | "She looked at Rory, and" | | 8 | "They went down into the" | | 9 | "It was the size of" | | 10 | "She pulled her hand back" | | 11 | "It was always cold, but" | | 12 | "She touched the hilt and" | | 13 | "They were solid now, walking" | | 14 | "They walked on." | | 15 | "They wore aprons." | | 16 | "They wore good boots and" | | 17 | "They moved with a slow," | | 18 | "He was older than the" | | 19 | "He looked at Rory for" |
| | ratio | 0.3 | |
| 88.57% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 70 | | matches | | 0 | "They crossed at dusk, when" | | 1 | "Isolde went first, as she" | | 2 | "She parted the air with" | | 3 | "Nyx went next, thinning to" | | 4 | "Rory felt the cold of" | | 5 | "She touched the pendant at" | | 6 | "The Heartstone had been warm" | | 7 | "She stepped through." | | 8 | "The first thing was the" | | 9 | "Honey and woodsmoke and something" | | 10 | "The second thing was the" | | 11 | "The third was the quiet." | | 12 | "London was gone so completely" | | 13 | "She opened her eyes." | | 14 | "The sky was amber from" | | 15 | "The light simply came from" | | 16 | "It was all she had." | | 17 | "Nyx murmured, and their voice" | | 18 | "They stood at the head" | | 19 | "Vines climbed trellises in spirals" |
| | ratio | 0.743 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 70 | | matches | | 0 | "Now it flushed against her" | | 1 | "Even from here, Rory could" |
| | ratio | 0.029 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 4 | | matches | | 0 | "The light simply came from everywhere at once, soft and gold and slightly too thick, as though she were looking through a jar of old wine." | | 1 | "Even from here, Rory could hear music, a lilting thing in a minor key that kept almost resolving and then didn’t." | | 2 | "The path was warm underfoot, and Rory realized the stone itself was heated, as though something beneath the earth were still cooking." | | 3 | "Up the valley, behind the copper-green roofs, a bell began to ring — a single slow note, then another, tolling in a rhythm that was not quite regular, as though…" |
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| 83.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 1 | | matches | | 0 | "Isolde said, and her voice was almost gentle" |
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| 89.39% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 2 | | fancyTags | | 0 | "Nyx murmured (murmur)" | | 1 | "Rory repeated (repeat)" |
| | dialogueSentences | 33 | | tagDensity | 0.273 | | leniency | 0.545 | | rawRatio | 0.222 | | effectiveRatio | 0.121 | |