| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 92.54% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1340 | | 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) | |
| 51.49% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1340 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "silence" | | 1 | "scanning" | | 2 | "familiar" | | 3 | "efficient" | | 4 | "weight" | | 5 | "echoed" | | 6 | "whisper" | | 7 | "pulsed" | | 8 | "vibrated" | | 9 | "calculating" | | 10 | "predator" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "knuckles turned white" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 138 | | matches | (empty) | |
| 91.10% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 2 | | narrationSentences | 138 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 138 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 7 | | totalWords | 1340 | | ratio | 0.005 | | matches | | 0 | "Go." | | 1 | "Stay." | | 2 | "You stay with us now." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 1 | | matches | | 0 | "The pendant said no, it said yes, it pulled her toward the heart of the clearing where the shadows pooled thickest." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 1340 | | uniqueNames | 14 | | maxNameDensity | 0.45 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 1 | | Pendant | 1 | | Richmond | 2 | | Park | 2 | | Grove | 1 | | Earth | 1 | | Fae | 1 | | Yu-Fei | 1 | | Hel | 2 | | Evan | 2 | | January | 1 | | Eva | 2 | | Cardiff | 1 | | Rory | 6 |
| | persons | | 0 | "Pendant" | | 1 | "Grove" | | 2 | "Evan" | | 3 | "Eva" | | 4 | "Rory" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "January" | | 3 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 36.36% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 88 | | glossingSentenceCount | 4 | | matches | | 0 | "lilies that seemed to drink the light from the standing stones surrounding the clearing" | | 1 | "felt like an hour" | | 2 | "looked like eyes" | | 3 | "Not quite human in its proportions, legs too long, arms hanging too low" |
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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 | 1340 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 138 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 33.5 | | std | 25.29 | | cv | 0.755 | | sampleLengths | | 0 | 71 | | 1 | 101 | | 2 | 18 | | 3 | 69 | | 4 | 39 | | 5 | 4 | | 6 | 59 | | 7 | 54 | | 8 | 57 | | 9 | 33 | | 10 | 7 | | 11 | 70 | | 12 | 5 | | 13 | 58 | | 14 | 11 | | 15 | 66 | | 16 | 12 | | 17 | 27 | | 18 | 1 | | 19 | 28 | | 20 | 1 | | 21 | 17 | | 22 | 55 | | 23 | 54 | | 24 | 2 | | 25 | 8 | | 26 | 35 | | 27 | 63 | | 28 | 12 | | 29 | 12 | | 30 | 57 | | 31 | 14 | | 32 | 47 | | 33 | 41 | | 34 | 23 | | 35 | 8 | | 36 | 47 | | 37 | 13 | | 38 | 5 | | 39 | 36 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 138 | | matches | | 0 | "was choked" | | 1 | "was layered" |
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| 49.17% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 221 | | matches | | 0 | "was cloying" | | 1 | "was being" | | 2 | "was burning" | | 3 | "was crumbling" | | 4 | "was working" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 2 | | flaggedSentences | 2 | | totalSentences | 138 | | ratio | 0.014 | | matches | | 0 | "It had happened once before with Evan; that suffocating feeling that a room was too full even when you were alone." | | 1 | "The wrongness wasn't an intrusion; it was a welcome." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1344 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 51 | | adverbRatio | 0.03794642857142857 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.005952380952380952 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 138 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 138 | | mean | 9.71 | | std | 7.32 | | cv | 0.754 | | sampleLengths | | 0 | 12 | | 1 | 26 | | 2 | 33 | | 3 | 8 | | 4 | 26 | | 5 | 3 | | 6 | 29 | | 7 | 35 | | 8 | 4 | | 9 | 10 | | 10 | 4 | | 11 | 17 | | 12 | 11 | | 13 | 25 | | 14 | 16 | | 15 | 6 | | 16 | 3 | | 17 | 21 | | 18 | 9 | | 19 | 1 | | 20 | 3 | | 21 | 10 | | 22 | 21 | | 23 | 4 | | 24 | 4 | | 25 | 8 | | 26 | 12 | | 27 | 27 | | 28 | 14 | | 29 | 9 | | 30 | 3 | | 31 | 1 | | 32 | 8 | | 33 | 14 | | 34 | 11 | | 35 | 13 | | 36 | 6 | | 37 | 3 | | 38 | 2 | | 39 | 19 | | 40 | 14 | | 41 | 7 | | 42 | 6 | | 43 | 2 | | 44 | 10 | | 45 | 18 | | 46 | 3 | | 47 | 18 | | 48 | 13 | | 49 | 3 |
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| 39.13% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.2898550724637681 | | totalSentences | 138 | | uniqueOpeners | 40 | |
| 79.37% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 126 | | matches | | 0 | "Just the stones." | | 1 | "Just the wildflowers, their petals" | | 2 | "Only two minutes had passed" |
| | ratio | 0.024 | |
| 58.10% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 51 | | totalSentences | 126 | | matches | | 0 | "It was heavier than it" | | 1 | "She’d come alone." | | 2 | "Her boots crunched on gravel" | | 3 | "It sounded like bone." | | 4 | "Her watch, a cheap digital" | | 5 | "She checked it again ten" | | 6 | "They were too heavy, pooling" | | 7 | "She froze, her bright blue" | | 8 | "It had happened once before" | | 9 | "She reached into her pocket" | | 10 | "She spun around, sweeping her" | | 11 | "It was illogical." | | 12 | "It hummed, a vibration that" | | 13 | "She glanced at her watch" | | 14 | "She had walked the perimeter" | | 15 | "Her breath hitched." | | 16 | "She hadn’t changed, but the" | | 17 | "She turned her head slowly," | | 18 | "She was being paranoid." | | 19 | "It tasted like old blood." |
| | ratio | 0.405 | |
| 35.40% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 107 | | totalSentences | 126 | | matches | | 0 | "The air inside the boundary" | | 1 | "Aurora kept her hands buried" | | 2 | "It was heavier than it" | | 3 | "She’d come alone." | | 4 | "Eva had warned her about" | | 5 | "A Hel portal had opened" | | 6 | "Rory took another step." | | 7 | "Her boots crunched on gravel" | | 8 | "It sounded like bone." | | 9 | "Her watch, a cheap digital" | | 10 | "She checked it again ten" | | 11 | "The logic of time held" | | 12 | "They were too heavy, pooling" | | 13 | "A rustle tore through the" | | 14 | "The trees in the park" | | 15 | "She froze, her bright blue" | | 16 | "The hairs on the back" | | 17 | "It had happened once before" | | 18 | "This wasn’t a person." | | 19 | "Evan’s abuse had been loud," |
| | ratio | 0.849 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 126 | | matches | (empty) | | ratio | 0 | |
| 77.92% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 5 | | matches | | 0 | "It was heavier than it should have been for a stone the size of a thumbnail, the deep crimson gem pulsing with a rhythm that matched the erratic thud of her own…" | | 1 | "Inside, the wildflowers bloomed year-round, a carpet of impossible violets and white lilies that seemed to drink the light from the standing stones surrounding …" | | 2 | "It had happened once before with Evan; that suffocating feeling that a room was too full even when you were alone." | | 3 | "It hummed, a vibration that traveled up her sternum and settled in her teeth." | | 4 | "The figure tilted its head, a predator considering prey that belonged to it already." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |