| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 3 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1229 | | 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) | |
| 47.11% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1229 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "weight" | | 1 | "silence" | | 2 | "pulsed" | | 3 | "rhythmic" | | 4 | "gloom" | | 5 | "warmth" | | 6 | "depths" | | 7 | "could feel" | | 8 | "echo" | | 9 | "quivered" | | 10 | "measured" |
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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 | 141 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 141 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 142 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1229 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 96.76% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 1221 | | uniqueNames | 11 | | maxNameDensity | 1.06 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 13 | | Richmond | 1 | | Park | 1 | | Earth | 1 | | Fae | 2 | | Heartstone | 1 | | London | 2 | | October | 2 | | Behördenian | 1 | | English | 1 | | Grove | 1 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Fae" | | 3 | "London" | | 4 | "Grove" |
| | globalScore | 0.968 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 77 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like phonetics from a real garden" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.441 | | wordCount | 1229 | | matches | | 0 | "not October, but Behördenian time" | | 1 | "Not a motion of growth, but a turning of orientation" | | 2 | "not stay like a fixed point, but it pulsed like a wound" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 142 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 29.26 | | std | 23.76 | | cv | 0.812 | | sampleLengths | | 0 | 72 | | 1 | 77 | | 2 | 100 | | 3 | 28 | | 4 | 6 | | 5 | 74 | | 6 | 32 | | 7 | 50 | | 8 | 22 | | 9 | 27 | | 10 | 6 | | 11 | 63 | | 12 | 7 | | 13 | 16 | | 14 | 34 | | 15 | 42 | | 16 | 12 | | 17 | 37 | | 18 | 32 | | 19 | 9 | | 20 | 26 | | 21 | 53 | | 22 | 7 | | 23 | 29 | | 24 | 37 | | 25 | 3 | | 26 | 55 | | 27 | 8 | | 28 | 45 | | 29 | 7 | | 30 | 38 | | 31 | 7 | | 32 | 4 | | 33 | 46 | | 34 | 43 | | 35 | 6 | | 36 | 29 | | 37 | 9 | | 38 | 16 | | 39 | 4 | | 40 | 7 | | 41 | 4 |
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| 90.33% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 141 | | matches | | 0 | "were supposed" | | 1 | "been guided" | | 2 | "been told" | | 3 | "being poured" | | 4 | "been isolated" | | 5 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 211 | | matches | | 0 | "were standing" | | 1 | "was breathing" | | 2 | "was expecting" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 2 | | flaggedSentences | 2 | | totalSentences | 142 | | ratio | 0.014 | | matches | | 0 | "The moss here doesn't bruise; it secretes." | | 1 | "She checked her wrist; the scar, a thin crescent of white skin against the darker flesh, itched." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1222 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 31 | | adverbRatio | 0.02536824877250409 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0024549918166939444 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 142 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 142 | | mean | 8.65 | | std | 6.47 | | cv | 0.747 | | sampleLengths | | 0 | 7 | | 1 | 26 | | 2 | 24 | | 3 | 15 | | 4 | 8 | | 5 | 19 | | 6 | 15 | | 7 | 11 | | 8 | 17 | | 9 | 2 | | 10 | 5 | | 11 | 9 | | 12 | 16 | | 13 | 26 | | 14 | 16 | | 15 | 5 | | 16 | 4 | | 17 | 24 | | 18 | 21 | | 19 | 2 | | 20 | 5 | | 21 | 6 | | 22 | 12 | | 23 | 19 | | 24 | 3 | | 25 | 11 | | 26 | 3 | | 27 | 26 | | 28 | 5 | | 29 | 13 | | 30 | 11 | | 31 | 3 | | 32 | 3 | | 33 | 8 | | 34 | 13 | | 35 | 26 | | 36 | 6 | | 37 | 4 | | 38 | 12 | | 39 | 4 | | 40 | 5 | | 41 | 4 | | 42 | 4 | | 43 | 3 | | 44 | 3 | | 45 | 4 | | 46 | 4 | | 47 | 2 | | 48 | 5 | | 49 | 12 |
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| 30.99% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 27 | | diversityRatio | 0.2112676056338028 | | totalSentences | 142 | | uniqueOpeners | 30 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 131 | | matches | (empty) | | ratio | 0 | |
| 49.01% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 56 | | totalSentences | 131 | | matches | | 0 | "She stopped at the center" | | 1 | "She adjusted the silver chain" | | 2 | "It had begun vibrating the" | | 3 | "She checked her wrist; the" | | 4 | "It was a London night," | | 5 | "She had sought this place" | | 6 | "She was a student of" | | 7 | "She took a step back" | | 8 | "She watched the bluebell-like blooms" | | 9 | "They were open." | | 10 | "She touched the pendant again." | | 11 | "It warned her." | | 12 | "It was a pop." | | 13 | "She checked the stone's handrail." | | 14 | "She could feel it." | | 15 | "It started at her feet." | | 16 | "She pulled the collar of" | | 17 | "She focused on her own" | | 18 | "She stepped forward." | | 19 | "It was no longer the" |
| | ratio | 0.427 | |
| 13.44% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 117 | | totalSentences | 131 | | matches | | 0 | "The moss here doesn't bruise;" | | 1 | "She stopped at the center" | | 2 | "The silence was heavy, a" | | 3 | "She adjusted the silver chain" | | 4 | "The Heartstone rested against her" | | 5 | "A faint inner glow pulsed" | | 6 | "It had begun vibrating the" | | 7 | "She checked her wrist; the" | | 8 | "Anxiety tricking the nervous system." | | 9 | "Aurora pulled the front of" | | 10 | "It was a London night," | | 11 | "She had sought this place" | | 12 | "She was a student of" | | 13 | "She took a step back" | | 14 | "The air remained suspended, stagnant." | | 15 | "The first anomaly was the" | | 16 | "The wildlands of the park" | | 17 | "The codex of her own" | | 18 | "Aurora held still." | | 19 | "She watched the bluebell-like blooms" |
| | ratio | 0.893 | |
| 76.34% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 131 | | matches | | 0 | "If the subconscious had been" | | 1 | "To run meant she would" |
| | ratio | 0.015 | |
| 96.27% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 3 | | matches | | 0 | "She watched the bluebell-like blooms that clustered near the northern stone." | | 1 | "In fact, they seemed to be uncurling closer to her as she watched them, the violet petals expanding with a microscopic precision that defied growth rates." | | 2 | "The oaks were standing tall, their bark peeling in strips of grey skin, but the depths of the grove were darker than the light physics allowed." |
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| 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 | 3 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |