| 88.89% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 1 | | adverbTags | | 0 | "Rory asked quietly [quietly]" |
| | dialogueSentences | 18 | | tagDensity | 0.444 | | leniency | 0.889 | | rawRatio | 0.125 | | effectiveRatio | 0.111 | |
| 79.87% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 745 | | totalAiIsmAdverbs | 3 | | 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 | 745 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "loomed" | | 1 | "scanning" | | 2 | "flicker" | | 3 | "footsteps" | | 4 | "delved" | | 5 | "pulsed" | | 6 | "otherworldly" | | 7 | "grave" | | 8 | "velvet" | | 9 | "could feel" | | 10 | "warmth" | | 11 | "hulking" | | 12 | "oppressive" | | 13 | "amidst" | | 14 | "pulse" |
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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 | 1 | | narrationSentences | 44 | | matches | | |
| 12.99% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 4 | | narrationSentences | 44 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "appeared to" | | 2 | "tended to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 52 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 749 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 56.46% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 588 | | uniqueNames | 8 | | maxNameDensity | 1.87 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 11 | | Nyx | 8 | | Fae-forged | 1 | | Isolde | 1 | | Heartstone | 2 | | Side | 1 | | Eva | 1 | | Evan | 1 |
| | persons | | 0 | "Rory" | | 1 | "Nyx" | | 2 | "Isolde" | | 3 | "Heartstone" | | 4 | "Eva" | | 5 | "Evan" |
| | places | (empty) | | globalScore | 0.565 | | windowScore | 0.833 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 33 | | glossingSentenceCount | 3 | | matches | | 0 | "d before them, seemingly untouched by time" | | 1 | "as if feeling it too" | | 2 | "looked like an altar, pools of foul oil s" |
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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 | 749 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 52 | | matches | (empty) | |
| 83.34% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 24 | | mean | 31.21 | | std | 13.78 | | cv | 0.442 | | sampleLengths | | 0 | 32 | | 1 | 38 | | 2 | 33 | | 3 | 48 | | 4 | 13 | | 5 | 28 | | 6 | 46 | | 7 | 58 | | 8 | 30 | | 9 | 22 | | 10 | 38 | | 11 | 7 | | 12 | 24 | | 13 | 21 | | 14 | 25 | | 15 | 42 | | 16 | 22 | | 17 | 20 | | 18 | 28 | | 19 | 68 | | 20 | 19 | | 21 | 23 | | 22 | 40 | | 23 | 24 |
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| 97.29% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 44 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 101 | | matches | | |
| 32.97% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 52 | | ratio | 0.038 | | matches | | 0 | "On the far side, a massive dome ceiling appeared to have collapsed inward like a punctured lung - time met its end in a violent petrification." | | 1 | "She found her whip — or at least her recollection of it — now coiled around her arm, and with a deafening crack, the were wipe into the deep night." |
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| 88.68% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 586 | | adjectiveStacks | 1 | | stackExamples | | 0 | "Strange, sickly sweet blossoms" |
| | adverbCount | 27 | | adverbRatio | 0.04607508532423208 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.015358361774744027 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 52 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 52 | | mean | 14.4 | | std | 6.87 | | cv | 0.477 | | sampleLengths | | 0 | 15 | | 1 | 17 | | 2 | 25 | | 3 | 13 | | 4 | 19 | | 5 | 14 | | 6 | 19 | | 7 | 13 | | 8 | 16 | | 9 | 13 | | 10 | 4 | | 11 | 13 | | 12 | 11 | | 13 | 21 | | 14 | 15 | | 15 | 5 | | 16 | 5 | | 17 | 13 | | 18 | 19 | | 19 | 26 | | 20 | 12 | | 21 | 13 | | 22 | 5 | | 23 | 9 | | 24 | 13 | | 25 | 14 | | 26 | 12 | | 27 | 12 | | 28 | 7 | | 29 | 15 | | 30 | 9 | | 31 | 12 | | 32 | 4 | | 33 | 5 | | 34 | 25 | | 35 | 17 | | 36 | 25 | | 37 | 12 | | 38 | 10 | | 39 | 10 | | 40 | 10 | | 41 | 28 | | 42 | 14 | | 43 | 30 | | 44 | 24 | | 45 | 19 | | 46 | 3 | | 47 | 3 | | 48 | 17 | | 49 | 13 |
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| 97.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.5961538461538461 | | totalSentences | 52 | | uniqueOpeners | 31 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 42 | | matches | | 0 | "Suddenly, the light did was" | | 1 | "Then, she was surrounded by" |
| | ratio | 0.048 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 8 | | totalSentences | 42 | | matches | | 0 | "Their voice was grave" | | 1 | "She yanked her hand back." | | 2 | "She could feel the hairs" | | 3 | "She spun around, the Fae-forged" | | 4 | "She hissed, tensing" | | 5 | "It explained the oppressive, heavy" | | 6 | "She found her whip —" | | 7 | "She felt that decreasing pulse" |
| | ratio | 0.19 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 30 | | totalSentences | 42 | | matches | | 0 | "The crumbling stone columns of" | | 1 | "Strands of vines snaked around" | | 2 | "Nyx muttered, their glowing violet" | | 3 | "Rory shot back, her blue" | | 4 | "Nyx rolled they're their eyes" | | 5 | "The air grew thick and" | | 6 | "Rory muttered under her breath" | | 7 | "Nyx shook their head." | | 8 | "Their voice was grave" | | 9 | "Rory reached out a tentative" | | 10 | "The blosso,blossom tingled against her" | | 11 | "She yanked her hand back." | | 12 | "Nyx just shook their head" | | 13 | "The resemble of a once" | | 14 | "She could feel the hairs" | | 15 | "Nyx seemed to shudder as" | | 16 | "She spun around, the Fae-forged" | | 17 | "A dark figure darted between" | | 18 | "She hissed, tensing" | | 19 | "Nyx nodded grimly, their hand" |
| | ratio | 0.714 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 42 | | matches | | 0 | "Before Rory could answer, a" |
| | ratio | 0.024 | |
| 91.84% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 2 | | matches | | 0 | "Strands of vines snaked around the weathered buildings, as if nature itself was reclaiming this forgotten place." | | 1 | "It explained the oppressive, heavy feeling that permeated this place." |
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| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 1 | | matches | | 0 | "Evan screamed, his muffled cries breaking into her rattling prayer," |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 6 | | fancyTags | | 0 | "Nyx muttered (mutter)" | | 1 | "Rory muttered (mutter)" | | 2 | "Rory whispered (whisper)" | | 3 | "She hissed (hiss)" | | 4 | "she whispered (whisper)" | | 5 | "Evan screamed (scream)" |
| | dialogueSentences | 18 | | tagDensity | 0.389 | | leniency | 0.778 | | rawRatio | 0.857 | | effectiveRatio | 0.667 | |