| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 54 | | tagDensity | 0.426 | | leniency | 0.852 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.29% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1297 | | 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) | |
| 3.62% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1297 | | totalAiIsms | 25 | | found | | | highlights | | 0 | "familiar" | | 1 | "silence" | | 2 | "traced" | | 3 | "chill" | | 4 | "warmth" | | 5 | "shimmered" | | 6 | "weight" | | 7 | "shattered" | | 8 | "pulsed" | | 9 | "perfect" | | 10 | "sense of" | | 11 | "intensity" | | 12 | "comforting" | | 13 | "otherworldly" | | 14 | "flickered" | | 15 | "reminder" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 2 |
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| | highlights | | 0 | "eyes narrowed" | | 1 | "eyes widened" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 90 | | matches | | 0 | "d with warmth" | | 1 | "felt a prickle" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 90 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 122 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1295 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 23 | | unquotedAttributions | 0 | | matches | (empty) | |
| 44.79% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 71 | | wordCount | 998 | | uniqueNames | 13 | | maxNameDensity | 2.1 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 3 | | Fae-forged | 7 | | December | 1 | | Aurora | 21 | | Heartstone | 6 | | Isolde | 16 | | Nyx | 9 | | Evan | 1 | | Heart | 2 | | Tree | 2 | | Park | 1 | | Veil | 1 | | London | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Heartstone" | | 2 | "Isolde" | | 3 | "Nyx" | | 4 | "Evan" |
| | places | | 0 | "Richmond" | | 1 | "December" | | 2 | "Tree" | | 3 | "Park" | | 4 | "Veil" | | 5 | "London" |
| | globalScore | 0.448 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.772 | | wordCount | 1295 | | matches | | 0 | "not the sky above, but stars" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 122 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 51 | | mean | 25.39 | | std | 14.45 | | cv | 0.569 | | sampleLengths | | 0 | 51 | | 1 | 27 | | 2 | 20 | | 3 | 19 | | 4 | 39 | | 5 | 34 | | 6 | 13 | | 7 | 11 | | 8 | 43 | | 9 | 33 | | 10 | 15 | | 11 | 52 | | 12 | 10 | | 13 | 35 | | 14 | 15 | | 15 | 24 | | 16 | 14 | | 17 | 37 | | 18 | 9 | | 19 | 8 | | 20 | 51 | | 21 | 11 | | 22 | 24 | | 23 | 45 | | 24 | 8 | | 25 | 33 | | 26 | 5 | | 27 | 12 | | 28 | 20 | | 29 | 34 | | 30 | 48 | | 31 | 11 | | 32 | 13 | | 33 | 8 | | 34 | 20 | | 35 | 26 | | 36 | 9 | | 37 | 17 | | 38 | 22 | | 39 | 37 | | 40 | 21 | | 41 | 30 | | 42 | 9 | | 43 | 48 | | 44 | 13 | | 45 | 24 | | 46 | 53 | | 47 | 38 | | 48 | 17 | | 49 | 24 |
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| 97.47% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 90 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 174 | | matches | (empty) | |
| 96.02% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 122 | | ratio | 0.016 | | matches | | 0 | "Her reflection smiled back, but behind her stood a figure with violet eyes—Evan, her ex, his presence a cold weight in her chest." | | 1 | "She ran her thumb along its edge—it was always cold, but tonight it felt like ice." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 416 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 9 | | adverbRatio | 0.021634615384615384 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 122 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 122 | | mean | 10.61 | | std | 6.08 | | cv | 0.573 | | sampleLengths | | 0 | 21 | | 1 | 14 | | 2 | 16 | | 3 | 12 | | 4 | 13 | | 5 | 2 | | 6 | 11 | | 7 | 7 | | 8 | 2 | | 9 | 14 | | 10 | 5 | | 11 | 11 | | 12 | 11 | | 13 | 17 | | 14 | 18 | | 15 | 7 | | 16 | 9 | | 17 | 9 | | 18 | 4 | | 19 | 11 | | 20 | 13 | | 21 | 14 | | 22 | 8 | | 23 | 8 | | 24 | 13 | | 25 | 17 | | 26 | 3 | | 27 | 11 | | 28 | 4 | | 29 | 22 | | 30 | 30 | | 31 | 8 | | 32 | 2 | | 33 | 6 | | 34 | 23 | | 35 | 6 | | 36 | 9 | | 37 | 6 | | 38 | 7 | | 39 | 12 | | 40 | 5 | | 41 | 6 | | 42 | 8 | | 43 | 5 | | 44 | 16 | | 45 | 16 | | 46 | 4 | | 47 | 5 | | 48 | 3 | | 49 | 5 |
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| 49.73% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.32786885245901637 | | totalSentences | 122 | | uniqueOpeners | 40 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 74 | | matches | | 0 | "She glided forward without leaving" | | 1 | "They followed a path of" | | 2 | "Her fingers brushed against the" | | 3 | "Their canopy filtered the light" | | 4 | "It felt cool against her" | | 5 | "They reached a clearing where" | | 6 | "Her reflection smiled back, but" | | 7 | "She flinched, and the image" | | 8 | "She ran her thumb along" | | 9 | "They moved on, following a" | | 10 | "They emerged into a clearing" | | 11 | "She reached out to touch" | | 12 | "She turned but saw only" | | 13 | "Her fingers tightened around the" | | 14 | "It hummed in response, its" | | 15 | "she said, raising the Fae-forged" | | 16 | "She led them forward, stepping" | | 17 | "They stood among the ancient" | | 18 | "She looked back at the" |
| | ratio | 0.257 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 74 | | matches | | 0 | "The air shifted as they" | | 1 | "Aurora traced the ancient oak" | | 2 | "The Fae-forged blade at her" | | 3 | "Isolde said, her voice like" | | 4 | "She glided forward without leaving" | | 5 | "Aurora nodded, tucking a strand" | | 6 | "The crescent-shaped scar on her" | | 7 | "Isolde smiled, her lavender eyes" | | 8 | "They followed a path of" | | 9 | "Petals glowed with inner light," | | 10 | "Her fingers brushed against the" | | 11 | "Nyx materialized at her shoulder," | | 12 | "Aurora stopped to examine a" | | 13 | "Isolde led them deeper into" | | 14 | "Their canopy filtered the light" | | 15 | "Aurora knelt to touch a" | | 16 | "It felt cool against her" | | 17 | "Isolde said, not turning around" | | 18 | "They reached a clearing where" | | 19 | "The water rippled when she" |
| | ratio | 0.932 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 44.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 7 | | matches | | 0 | "They followed a path of wildflowers that shouldn't bloom in December." | | 1 | "Their canopy filtered the light into emerald shards that danced across the forest floor." | | 2 | "They moved on, following a path of glowing pebbles that led to a circle of mushrooms forming perfect spirals." | | 3 | "They emerged into a clearing dominated by a single oak tree so ancient that its trunk split into three massive columns, each supporting a canopy of leaves that …" | | 4 | "Aurora approached the pool, her reflection showing her face but not the figure standing behind her this time." | | 5 | "The tree's golden light brightened, casting long shadows that danced across the clearing." | | 6 | "As they turned to leave, the Heart Tree's golden light dimmed, casting long shadows that stretched toward them like grasping hands." |
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| 81.52% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 2 | | matches | | 0 | "Isolde said, not turning around" | | 1 | "Isolde said, her voice soft" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 21 | | fancyCount | 9 | | fancyTags | | 0 | "they whispered (whisper)" | | 1 | "Nyx murmured (murmur)" | | 2 | "Isolde explained (explain)" | | 3 | "Isolde warned (warn)" | | 4 | "Isolde breathed (breathe)" | | 5 | "Isolde corrected (correct)" | | 6 | "Nyx whispered (whisper)" | | 7 | "they whispered (whisper)" | | 8 | "they whispered (whisper)" |
| | dialogueSentences | 54 | | tagDensity | 0.389 | | leniency | 0.778 | | rawRatio | 0.429 | | effectiveRatio | 0.333 | |