| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 10 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.31% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1032 | | totalAiIsmAdverbs | 2 | | 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) | |
| 56.40% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1032 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "pulse" | | 1 | "warmth" | | 2 | "silence" | | 3 | "footsteps" | | 4 | "echo" | | 5 | "pulsed" | | 6 | "stomach" |
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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 | 93 | | matches | (empty) | |
| 96.77% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 93 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 98 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 7 | | totalWords | 1032 | | ratio | 0.007 | | matches | | 0 | "knew" | | 1 | "It pulses near a Hel portal." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 990 | | uniqueNames | 9 | | maxNameDensity | 0.61 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Eva" | | discoveredNames | | Rory | 6 | | Grove | 2 | | Heartstone | 4 | | Park | 1 | | South | 1 | | Circular | 1 | | Eva | 3 | | Evan | 1 | | Hel | 1 |
| | persons | | 0 | "Rory" | | 1 | "Grove" | | 2 | "Heartstone" | | 3 | "Eva" | | 4 | "Evan" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | 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 | 1032 | | matches | (empty) | |
| 98.64% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 98 | | matches | | 0 | "could, that the" | | 1 | "knew*, that the" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 25.8 | | std | 20.61 | | cv | 0.799 | | sampleLengths | | 0 | 9 | | 1 | 50 | | 2 | 8 | | 3 | 52 | | 4 | 6 | | 5 | 53 | | 6 | 35 | | 7 | 5 | | 8 | 54 | | 9 | 16 | | 10 | 2 | | 11 | 42 | | 12 | 5 | | 13 | 25 | | 14 | 17 | | 15 | 37 | | 16 | 1 | | 17 | 42 | | 18 | 4 | | 19 | 49 | | 20 | 59 | | 21 | 10 | | 22 | 28 | | 23 | 42 | | 24 | 4 | | 25 | 8 | | 26 | 28 | | 27 | 23 | | 28 | 89 | | 29 | 7 | | 30 | 45 | | 31 | 34 | | 32 | 22 | | 33 | 2 | | 34 | 5 | | 35 | 38 | | 36 | 5 | | 37 | 40 | | 38 | 18 | | 39 | 13 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 93 | | matches | (empty) | |
| 78.05% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 164 | | matches | | 0 | "was thinking" | | 1 | "was leaving" | | 2 | "was standing" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 98 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 991 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.03229061553985873 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0030272452068617556 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 98 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 98 | | mean | 10.53 | | std | 9.08 | | cv | 0.862 | | sampleLengths | | 0 | 9 | | 1 | 15 | | 2 | 4 | | 3 | 31 | | 4 | 3 | | 5 | 5 | | 6 | 11 | | 7 | 9 | | 8 | 26 | | 9 | 6 | | 10 | 6 | | 11 | 6 | | 12 | 21 | | 13 | 2 | | 14 | 24 | | 15 | 10 | | 16 | 1 | | 17 | 1 | | 18 | 23 | | 19 | 5 | | 20 | 25 | | 21 | 15 | | 22 | 14 | | 23 | 5 | | 24 | 3 | | 25 | 8 | | 26 | 2 | | 27 | 12 | | 28 | 1 | | 29 | 4 | | 30 | 13 | | 31 | 12 | | 32 | 5 | | 33 | 2 | | 34 | 2 | | 35 | 2 | | 36 | 19 | | 37 | 12 | | 38 | 5 | | 39 | 18 | | 40 | 19 | | 41 | 1 | | 42 | 5 | | 43 | 19 | | 44 | 7 | | 45 | 6 | | 46 | 5 | | 47 | 4 | | 48 | 41 | | 49 | 8 |
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| 63.61% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.4489795918367347 | | totalSentences | 98 | | uniqueOpeners | 44 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 76 | | matches | | 0 | "Then another, closer to her" | | 1 | "Even the air seemed to" | | 2 | "Then, ahead of her, in" | | 3 | "Too tall, and too thin," | | 4 | "Just the dark gap of" |
| | ratio | 0.066 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 76 | | matches | | 0 | "She stopped at the tree" | | 1 | "She pressed a hand over" | | 2 | "Her own footsteps in the" | | 3 | "She kept her eyes on" | | 4 | "Her voice didn't echo" | | 5 | "It just stopped." | | 6 | "She reached the centre stone" | | 7 | "she said, mostly to hear" | | 8 | "She caught the movement at" | | 9 | "Her mouth went dry." | | 10 | "She kept her tone level," | | 11 | "She was certain of it" | | 12 | "They had been upright." | | 13 | "It was tall." | | 14 | "It did not come closer." | | 15 | "It did not need to." | | 16 | "It simply stood at the" | | 17 | "She gasped and clutched it," | | 18 | "*It pulses near a Hel" | | 19 | "She was standing in one." |
| | ratio | 0.289 | |
| 91.58% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 76 | | matches | | 0 | "The standing stones weren't where" | | 1 | "She stopped at the tree" | | 2 | "The pendant against her chest" | | 3 | "She pressed a hand over" | | 4 | "Eva had told her the" | | 5 | "Eva had not mentioned the" | | 6 | "That was the first wrong" | | 7 | "Richmond Park at night wasn't" | | 8 | "Her own footsteps in the" | | 9 | "Wildflowers brushed her shins, pale" | | 10 | "Things that had no business" | | 11 | "Rory walked into the clearing." | | 12 | "The grass underfoot grew softer" | | 13 | "She kept her eyes on" | | 14 | "A flat grey stone sat" | | 15 | "Her voice didn't echo" | | 16 | "It just stopped." | | 17 | "She reached the centre stone" | | 18 | "The Heartstone pulsed again, stronger" | | 19 | "Warmth bled out from it" |
| | ratio | 0.737 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 76 | | matches | | 0 | "Now six ringed the clearing," | | 1 | "Even in the dead hours" | | 2 | "Now their crowns curved over" |
| | ratio | 0.039 | |
| 48.87% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 5 | | matches | | 0 | "Now six ringed the clearing, each one twisted into shapes no living wood should hold, their bark silvered under a moon that hung too low and too large in the sk…" | | 1 | "Her own footsteps in the long grass came back to her flat and small, as though the air swallowed sound before it could travel." | | 2 | "Things that had no business blooming together, all of them turned to face her like an audience waiting for the performance to begin." | | 3 | "The Heartstone pulsed again, stronger now, a heartbeat that didn't match her own." | | 4 | "It simply stood at the threshold of the trees and watched her with a patience that turned her stomach to ice, and she understood with sudden, vertiginous clarit…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 10 | | tagDensity | 0.3 | | leniency | 0.6 | | rawRatio | 0.667 | | effectiveRatio | 0.4 | |