| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 10 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 754 | | 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) | |
| 86.74% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 754 | | totalAiIsms | 2 | | found | | | highlights | | |
| 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 | 73 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 73 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 81 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 17 | | totalWords | 762 | | ratio | 0.022 | | matches | | 0 | "Come alone. The grove. One hour after the last car leaves." | | 1 | "That is not me laughing. Run." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 734 | | uniqueNames | 8 | | maxNameDensity | 0.82 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Silas | 1 | | Richmond | 1 | | Hel | 1 | | Golden | 1 | | Empress | 1 | | Rory | 6 | | Evan | 1 | | Isolde | 2 |
| | persons | | 0 | "Silas" | | 1 | "Rory" | | 2 | "Evan" | | 3 | "Isolde" |
| | places | | 0 | "Richmond" | | 1 | "Hel" | | 2 | "Golden" |
| | globalScore | 1 | | windowScore | 1 | |
| 85.90% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 39 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like the noise a throat makes when" |
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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 | 762 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 81 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 27.21 | | std | 24.66 | | cv | 0.906 | | sampleLengths | | 0 | 50 | | 1 | 1 | | 2 | 75 | | 3 | 37 | | 4 | 8 | | 5 | 89 | | 6 | 27 | | 7 | 7 | | 8 | 42 | | 9 | 33 | | 10 | 3 | | 11 | 9 | | 12 | 70 | | 13 | 1 | | 14 | 11 | | 15 | 6 | | 16 | 12 | | 17 | 25 | | 18 | 47 | | 19 | 5 | | 20 | 42 | | 21 | 15 | | 22 | 5 | | 23 | 61 | | 24 | 31 | | 25 | 2 | | 26 | 42 | | 27 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 73 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 125 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 81 | | ratio | 0.086 | | matches | | 0 | "The grove lay ahead — a bowl of wildflowers glowing white under a moon she couldn't see for the canopy." | | 1 | "Isolde's message had arrived on the back of a takeaway receipt from the Golden Empress — twelve words in a hand that leaned hard right." | | 2 | "Wildflowers pressed against her boots — cornflowers, midwinter, blooming out of frost." | | 3 | "Somewhere behind her, water moved — the little stream that cut through the grove's low side, no wider than her hand." | | 4 | "She'd felt versions of this before — Evan's flat, the hour before he came home, the way the rooms went quiet like they were holding their breath." | | 5 | "Ferns whipped her shins, cold and damp, and her phone light picked out something on the ground at the stream's edge — something pale and curved and the size of a hand." | | 6 | "The flowers around her boots had turned their heads — she saw it peripherally, the white faces of the petals angling toward her shins — and she refused to look down." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 445 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 10 | | adverbRatio | 0.02247191011235955 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 81 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 81 | | mean | 9.4 | | std | 9.13 | | cv | 0.972 | | sampleLengths | | 0 | 19 | | 1 | 1 | | 2 | 8 | | 3 | 22 | | 4 | 1 | | 5 | 8 | | 6 | 20 | | 7 | 13 | | 8 | 5 | | 9 | 29 | | 10 | 4 | | 11 | 10 | | 12 | 16 | | 13 | 7 | | 14 | 5 | | 15 | 3 | | 16 | 18 | | 17 | 25 | | 18 | 2 | | 19 | 2 | | 20 | 42 | | 21 | 5 | | 22 | 12 | | 23 | 6 | | 24 | 4 | | 25 | 7 | | 26 | 1 | | 27 | 10 | | 28 | 21 | | 29 | 5 | | 30 | 5 | | 31 | 5 | | 32 | 11 | | 33 | 3 | | 34 | 14 | | 35 | 3 | | 36 | 8 | | 37 | 1 | | 38 | 8 | | 39 | 27 | | 40 | 5 | | 41 | 28 | | 42 | 1 | | 43 | 1 | | 44 | 1 | | 45 | 1 | | 46 | 1 | | 47 | 6 | | 48 | 2 | | 49 | 6 |
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| 63.37% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.43209876543209874 | | totalSentences | 81 | | uniqueOpeners | 35 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 60 | | matches | | 0 | "Somewhere behind her, water moved" | | 1 | "Then it stopped." | | 2 | "Then, a beat later, it" |
| | ratio | 0.05 | |
| 73.33% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 60 | | matches | | 0 | "She held her phone up" | | 1 | "Her voice went out and" | | 2 | "She'd been here twice before," | | 3 | "She checked the pendant." | | 4 | "She pressed on." | | 5 | "She reached the clearing's centre." | | 6 | "She crouched and touched a" | | 7 | "It gave like skin." | | 8 | "She'd crossed it coming in." | | 9 | "It had been silent then." | | 10 | "She stood up." | | 11 | "she said, to the dark," | | 12 | "She'd felt versions of this" | | 13 | "Her body knew this texture." | | 14 | "Her pulse sat in her" | | 15 | "She typed it and hit" | | 16 | "She did not put the" | | 17 | "It came from the canopy," | | 18 | "It sounded like the noise" | | 19 | "She backed up." |
| | ratio | 0.367 | |
| 26.67% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 60 | | matches | | 0 | "Rory slipped between the standing" | | 1 | "She held her phone up" | | 2 | "Her voice went out and" | | 3 | "The grove lay ahead —" | | 4 | "She'd been here twice before," | | 5 | "Eva's hand on her arm." | | 6 | "The second time, Silas, who'd" | | 7 | "She checked the pendant." | | 8 | "The crimson stone sat against" | | 9 | "Eva had told her it" | | 10 | "Tonight it hung there like" | | 11 | "She pressed on." | | 12 | "The reason she'd come sat" | | 13 | "Isolde's message had arrived on" | | 14 | "She reached the clearing's centre." | | 15 | "Wildflowers pressed against her boots" | | 16 | "She crouched and touched a" | | 17 | "It gave like skin." | | 18 | "An oak at the far" | | 19 | "She'd crossed it coming in." |
| | ratio | 0.867 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 60 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 10 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0 | | effectiveRatio | 0 | |