| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 89.52% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 477 | | totalAiIsmAdverbs | 1 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 477 | | totalAiIsms | 12 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | word | "the last thing" | | count | 1 |
| | 11 | |
| | highlights | | 0 | "pulsed" | | 1 | "loomed" | | 2 | "silence" | | 3 | "flicker" | | 4 | "pulse" | | 5 | "warmth" | | 6 | "footsteps" | | 7 | "could feel" | | 8 | "weight" | | 9 | "flickered" | | 10 | "the last thing" | | 11 | "maw" |
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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 | 57 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 57 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 58 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 7 | | markdownWords | 17 | | totalWords | 471 | | ratio | 0.036 | | matches | | 0 | "don’t go" | | 1 | "Find the grove. Before the others do." | | 2 | "behind" | | 3 | "watching" | | 4 | "\"You shouldn’t have come.\"" | | 5 | "breathing" | | 6 | "them" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 74.89% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 10 | | wordCount | 466 | | uniqueNames | 4 | | maxNameDensity | 1.5 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Carter | 1 | | Heartstone | 1 | | October | 1 | | Aurora | 7 |
| | persons | | 0 | "Carter" | | 1 | "Heartstone" | | 2 | "Aurora" |
| | places | (empty) | | globalScore | 0.749 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 32 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 2.123 | | wordCount | 471 | | matches | | 0 | "Not of damp earth or wildflowers, but of something metallic, like old blood left too long in the s" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 58 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 21 | | mean | 22.43 | | std | 24.67 | | cv | 1.1 | | sampleLengths | | 0 | 1 | | 1 | 6 | | 2 | 69 | | 3 | 68 | | 4 | 3 | | 5 | 8 | | 6 | 44 | | 7 | 1 | | 8 | 60 | | 9 | 9 | | 10 | 4 | | 11 | 30 | | 12 | 1 | | 13 | 8 | | 14 | 2 | | 15 | 59 | | 16 | 4 | | 17 | 41 | | 18 | 6 | | 19 | 45 | | 20 | 2 |
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| 92.95% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 57 | | matches | | 0 | "was layered" | | 1 | "was yanked" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 78 | | matches | | 0 | "was running" | | 1 | "were *breathing" | | 2 | "was rejecting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 1 | | flaggedSentences | 9 | | totalSentences | 58 | | ratio | 0.155 | | matches | | 0 | "She should have listened to the voice in her head—the one that had screamed *don’t go*—but the note had been clear enough: *Find the grove." | | 1 | "The sound had come from the trees—*behind* her." | | 2 | "Then—movement." | | 3 | "Then—footsteps." | | 4 | "One moment, she was running toward the standing stones; the next, the stones had vanished, replaced by a wall of thorns." | | 5 | "She skidded to a halt, chest heaving, and turned—" | | 6 | "She could feel them—*them*—moving just beyond sight, their presence a weight on her shoulders." | | 7 | "The last thing she saw was the grove’s edge—where the standing stones had been—now a jagged maw of roots, swallowing the night." | | 8 | "And then—darkness." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 473 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.035940803382663845 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0021141649048625794 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 58 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 58 | | mean | 8.1 | | std | 6.06 | | cv | 0.747 | | sampleLengths | | 0 | 6 | | 1 | 20 | | 2 | 20 | | 3 | 25 | | 4 | 4 | | 5 | 4 | | 6 | 19 | | 7 | 16 | | 8 | 9 | | 9 | 12 | | 10 | 8 | | 11 | 3 | | 12 | 4 | | 13 | 4 | | 14 | 2 | | 15 | 8 | | 16 | 8 | | 17 | 5 | | 18 | 3 | | 19 | 4 | | 20 | 14 | | 21 | 1 | | 22 | 10 | | 23 | 3 | | 24 | 5 | | 25 | 2 | | 26 | 6 | | 27 | 12 | | 28 | 6 | | 29 | 16 | | 30 | 9 | | 31 | 4 | | 32 | 3 | | 33 | 4 | | 34 | 12 | | 35 | 9 | | 36 | 2 | | 37 | 1 | | 38 | 1 | | 39 | 1 | | 40 | 6 | | 41 | 2 | | 42 | 18 | | 43 | 11 | | 44 | 21 | | 45 | 9 | | 46 | 4 | | 47 | 10 | | 48 | 7 | | 49 | 14 |
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| 45.40% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.3448275862068966 | | totalSentences | 58 | | uniqueOpeners | 20 | |
| 69.44% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 48 | | matches | | 0 | "Just the heavy, suffocating silence" |
| | ratio | 0.021 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 10 | | totalSentences | 48 | | matches | | 0 | "She should have listened to" | | 1 | "She swallowed hard, knuckles white" | | 2 | "She turned slowly, hand still" | | 3 | "She took a step back," | | 4 | "She stumbled, fingers scrambling for" | | 5 | "It was layered, overlapping, like" | | 6 | "She spun, heart hammering, but" | | 7 | "She skidded to a halt," | | 8 | "She could feel them—*them*—moving just" | | 9 | "She was yanked backward, her" |
| | ratio | 0.208 | |
| 74.58% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 37 | | totalSentences | 48 | | matches | | 0 | "The pendant burned against her" | | 1 | "Aurora Carter yanked her hand" | | 2 | "The Heartstone’s crimson glow pulsed" | | 3 | "She should have listened to" | | 4 | "The air smelled wrong." | | 5 | "Aurora’s breath fogged in the" | | 6 | "She swallowed hard, knuckles white" | | 7 | "The stones loomed, their bark" | | 8 | "The grove wasn’t supposed to" | | 9 | "A twig snapped." | | 10 | "The sound had come from" | | 11 | "She turned slowly, hand still" | | 12 | "The grove was too still." | | 13 | "A flicker of motion at" | | 14 | "Aurora’s pulse hammered in her" | | 15 | "She took a step back," | | 16 | "She stumbled, fingers scrambling for" | | 17 | "The pendant dug into her" | | 18 | "A voice, low and wet," | | 19 | "Aurora’s breath hitched." |
| | ratio | 0.771 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 48 | | matches | | 0 | "Before the others do.*" |
| | ratio | 0.021 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 18 | | technicalSentenceCount | 1 | | matches | | 0 | "Aurora Carter yanked her hand back as if the silver chain had scalded her, fingers curling into the damp earth." |
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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 | |