| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 5 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 70.15% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 670 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slowly" | | 1 | "sharply" | | 2 | "slightly" | | 3 | "utterly" |
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| 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) | |
| 10.45% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 670 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "warmth" | | 1 | "pulse" | | 2 | "scanned" | | 3 | "chill" | | 4 | "rhythmic" | | 5 | "could feel" | | 6 | "scanning" | | 7 | "silence" | | 8 | "shimmered" | | 9 | "familiar" |
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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 | 45 | | matches | (empty) | |
| 47.62% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 45 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 46 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 59 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 670 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 78.91% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 633 | | uniqueNames | 8 | | maxNameDensity | 1.42 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Carter | 1 | | Heartstone | 3 | | Pendant | 3 | | Fae | 1 | | Grove | 1 | | Aurora | 9 | | Cardiff | 1 | | Evan | 1 |
| | persons | | 0 | "Carter" | | 1 | "Pendant" | | 2 | "Aurora" | | 3 | "Evan" |
| | places | | | globalScore | 0.789 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 27 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 50.75% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.493 | | wordCount | 670 | | matches | | 0 | "not with wind but with intention" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 46 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 20 | | mean | 33.5 | | std | 32.28 | | cv | 0.964 | | sampleLengths | | 0 | 98 | | 1 | 76 | | 2 | 73 | | 3 | 4 | | 4 | 81 | | 5 | 2 | | 6 | 16 | | 7 | 18 | | 8 | 14 | | 9 | 87 | | 10 | 30 | | 11 | 4 | | 12 | 50 | | 13 | 7 | | 14 | 14 | | 15 | 59 | | 16 | 3 | | 17 | 13 | | 18 | 3 | | 19 | 18 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 45 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 108 | | matches | (empty) | |
| 80.75% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 46 | | ratio | 0.022 | | matches | | 0 | "She pulled back. The wildflowers rustled, not with wind but with intention. Aurora turned, her practical boots scrambling for a path back to the stones, but the boundary markers had already shifted. They were no longer arranged in a welcoming circle; they formed a narrow gate, facing inward, trapping her." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 281 | | adjectiveStacks | 1 | | stackExamples | | 0 | "own straight black hair," |
| | adverbCount | 11 | | adverbRatio | 0.03914590747330961 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.010676156583629894 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 46 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 46 | | mean | 14.57 | | std | 13.4 | | cv | 0.92 | | sampleLengths | | 0 | 21 | | 1 | 32 | | 2 | 45 | | 3 | 4 | | 4 | 29 | | 5 | 9 | | 6 | 17 | | 7 | 13 | | 8 | 4 | | 9 | 3 | | 10 | 9 | | 11 | 11 | | 12 | 27 | | 13 | 23 | | 14 | 4 | | 15 | 2 | | 16 | 13 | | 17 | 2 | | 18 | 18 | | 19 | 2 | | 20 | 27 | | 21 | 17 | | 22 | 2 | | 23 | 12 | | 24 | 2 | | 25 | 2 | | 26 | 5 | | 27 | 10 | | 28 | 3 | | 29 | 14 | | 30 | 3 | | 31 | 29 | | 32 | 11 | | 33 | 3 | | 34 | 29 | | 35 | 12 | | 36 | 30 | | 37 | 4 | | 38 | 50 | | 39 | 7 | | 40 | 14 | | 41 | 59 | | 42 | 3 | | 43 | 13 | | 44 | 3 | | 45 | 18 |
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| 50.72% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.3695652173913043 | | totalSentences | 46 | | uniqueOpeners | 17 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 38 | | matches | | 0 | "Then it started again, closer," | | 1 | "Then, at the corner of" |
| | ratio | 0.053 | |
| 51.58% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 38 | | matches | | 0 | "She had come to The" | | 1 | "Her watch ticked with a" | | 2 | "Their petals were too white" | | 3 | "She moved slowly." | | 4 | "Her straight shoulder-length black hair" | | 5 | "Her bright blue eyes scanned" | | 6 | "She wore a dark coat" | | 7 | "She was cool-headed, intelligent, trained" | | 8 | "Her small crescent-shaped scar on" | | 9 | "She turned her head, scanning" | | 10 | "She whispered to the empty" | | 11 | "She walked deeper." | | 12 | "She was a delivery person" | | 13 | "She stepped closer, her" | | 14 | "She pulled back. The wildflowers" | | 15 | "she said, her voice cracking" |
| | ratio | 0.421 | |
| 25.79% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 33 | | totalSentences | 38 | | matches | | 0 | "Aurora Carter stepped over the" | | 1 | "The silver chain bit into" | | 2 | "She had come to The" | | 3 | "Her watch ticked with a" | | 4 | "The wildflowers bloomed year-round here," | | 5 | "Their petals were too white" | | 6 | "The air smelled of rotting" | | 7 | "Something that had waited." | | 8 | "She moved slowly." | | 9 | "Her straight shoulder-length black hair" | | 10 | "Her bright blue eyes scanned" | | 11 | "She wore a dark coat" | | 12 | "She was cool-headed, intelligent, trained" | | 13 | "The sound came first." | | 14 | "A dry, rhythmic clicking, like" | | 15 | "Her small crescent-shaped scar on" | | 16 | "She turned her head, scanning" | | 17 | "Aurora pulled her coat tighter." | | 18 | "She whispered to the empty" | | 19 | "She walked deeper." |
| | ratio | 0.868 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 38 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 7 | | matches | | 0 | "The silver chain bit into her skin, the deep crimson gem throbbing with a warmth that felt less like heat and less like fear, and more like a hand gripping her …" | | 1 | "Her watch ticked with a sluggish, wet sound that did not match the seconds passing, though she could not say whether minutes had stretched into days or merely s…" | | 2 | "She wore a dark coat pulled tight against the chill, and her practical boots crushed the soft earth with a sound that seemed too loud, too final." | | 3 | "Her small crescent-shaped scar on the left wrist, a childhood accident she had long forgotten, itched sharply, as if the pendant's pulse had synced with her own…" | | 4 | "The ancient oak standing stones rose in a rough circle around the clearing, moss-covered and peeling, older than the park outside, their bark smelling of rain a…" | | 5 | "The Heartstone Pendant glowed brighter, its warmth spreading through her ribs like a fever. She reached out, her fingers brushing a petal that crumbled to grey …" | | 6 | "Aurora spun. She saw it at the edge of the wildflowers, a figure that wore her own face, her own straight black hair, her own bright blue eyes that were too wid…" |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, her voice cracking" |
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| 25.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 5 | | tagDensity | 0.8 | | leniency | 1 | | rawRatio | 0.25 | | effectiveRatio | 0.25 | |