| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 35 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1236 | | 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) | |
| 59.55% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1236 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "stomach" | | 1 | "warmth" | | 2 | "shimmered" | | 3 | "maw" | | 4 | "whisper" | | 5 | "pulsed" | | 6 | "silence" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 96 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 96 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 120 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1239 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 94.39% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 989 | | uniqueNames | 11 | | maxNameDensity | 1.11 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 3 | | Rory | 11 | | Isolde | 6 | | London | 1 | | Fae | 2 | | Silver | 1 | | Figures | 1 | | One | 1 | | Steps | 1 | | Nyx | 8 | | Flour | 1 |
| | persons | | 0 | "Heartstone" | | 1 | "Rory" | | 2 | "Isolde" | | 3 | "Figures" | | 4 | "Steps" | | 5 | "Nyx" |
| | places | | | globalScore | 0.944 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | 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 | 1239 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 120 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 23.38 | | std | 18.47 | | cv | 0.79 | | sampleLengths | | 0 | 25 | | 1 | 1 | | 2 | 39 | | 3 | 36 | | 4 | 33 | | 5 | 46 | | 6 | 20 | | 7 | 4 | | 8 | 18 | | 9 | 10 | | 10 | 28 | | 11 | 70 | | 12 | 37 | | 13 | 34 | | 14 | 33 | | 15 | 3 | | 16 | 33 | | 17 | 38 | | 18 | 17 | | 19 | 20 | | 20 | 4 | | 21 | 16 | | 22 | 20 | | 23 | 62 | | 24 | 9 | | 25 | 84 | | 26 | 5 | | 27 | 21 | | 28 | 28 | | 29 | 15 | | 30 | 19 | | 31 | 24 | | 32 | 33 | | 33 | 3 | | 34 | 32 | | 35 | 2 | | 36 | 6 | | 37 | 44 | | 38 | 4 | | 39 | 3 | | 40 | 8 | | 41 | 15 | | 42 | 7 | | 43 | 20 | | 44 | 34 | | 45 | 52 | | 46 | 53 | | 47 | 3 | | 48 | 9 | | 49 | 33 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 96 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 167 | | matches | (empty) | |
| 71.43% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 120 | | ratio | 0.025 | | matches | | 0 | "She set her palm against the space between two dead oaks and the space answered — a shiver, a curvature, the world folding like a spoon left in hot tea." | | 1 | "The cold took her first — a sheet of it, edge to edge, drinking the warmth out of her teeth and fingertips." | | 2 | "Figures moved between the vine rows — bent, small, deliberate." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 991 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.01917255297679112 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 120 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 120 | | mean | 10.33 | | std | 7.13 | | cv | 0.69 | | sampleLengths | | 0 | 11 | | 1 | 14 | | 2 | 1 | | 3 | 24 | | 4 | 15 | | 5 | 6 | | 6 | 30 | | 7 | 22 | | 8 | 11 | | 9 | 26 | | 10 | 11 | | 11 | 9 | | 12 | 20 | | 13 | 4 | | 14 | 5 | | 15 | 10 | | 16 | 3 | | 17 | 10 | | 18 | 22 | | 19 | 4 | | 20 | 2 | | 21 | 28 | | 22 | 16 | | 23 | 26 | | 24 | 9 | | 25 | 6 | | 26 | 10 | | 27 | 12 | | 28 | 6 | | 29 | 1 | | 30 | 27 | | 31 | 7 | | 32 | 14 | | 33 | 12 | | 34 | 3 | | 35 | 5 | | 36 | 9 | | 37 | 10 | | 38 | 9 | | 39 | 8 | | 40 | 10 | | 41 | 18 | | 42 | 2 | | 43 | 4 | | 44 | 13 | | 45 | 6 | | 46 | 14 | | 47 | 4 | | 48 | 16 | | 49 | 9 |
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| 96.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.6416666666666667 | | totalSentences | 120 | | uniqueOpeners | 77 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 88 | | matches | | 0 | "Then sound snapped back." | | 1 | "Just a low furnace glow" | | 2 | "Twice the fruit towers breathed" | | 3 | "Then it stopped." |
| | ratio | 0.045 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 88 | | matches | | 0 | "She stopped on the path" | | 1 | "She set her palm against" | | 2 | "She turned, and those pale" | | 3 | "She patted the Fae blade" | | 4 | "She stood on a terrace" | | 5 | "Their shape ran over the" | | 6 | "Her bare feet touched the" | | 7 | "They carried baskets on their" | | 8 | "It stood motionless while the" | | 9 | "Her stomach turned over." | | 10 | "She swallowed and kept walking." | | 11 | "Her voice rang off the" | | 12 | "It pulsed against her skin" | | 13 | "She drew the Fae blade." | | 14 | "They moved between the tables." | | 15 | "She stepped wide and kept" |
| | ratio | 0.182 | |
| 73.64% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 88 | | matches | | 0 | "The Heartstone shifted against Rory's" | | 1 | "She stopped on the path" | | 2 | "Nyx stood at the edge" | | 3 | "Isolde drifted ahead of them" | | 4 | "She set her palm against" | | 5 | "She turned, and those pale" | | 6 | "Rory shrugged the delivery bag" | | 7 | "She patted the Fae blade" | | 8 | "Nyx's silhouette stretched and thinned." | | 9 | "A hand of black mist" | | 10 | "Rory gripped the moonsilver hilt" | | 11 | "The cold took her first" | | 12 | "She stood on a terrace" | | 13 | "Vineyards the shade of old" | | 14 | "Orchards with fruit so heavy" | | 15 | "The air sat on her" | | 16 | "Yeast and roasting fat and" | | 17 | "Nyx came through and did" | | 18 | "Their shape ran over the" | | 19 | "Violet eyes caught the amber" |
| | ratio | 0.773 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 88 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 1 | | matches | | 0 | "Yeast and roasting fat and cut herbs and something floral underneath, thick enough to chew, the kind of sweetness that made her jaw ache behind the molars." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | 0 | "they whispered (whisper)" |
| | dialogueSentences | 35 | | tagDensity | 0.086 | | leniency | 0.171 | | rawRatio | 0.333 | | effectiveRatio | 0.057 | |