| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 23 | | tagDensity | 0.13 | | leniency | 0.261 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.01% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1003 | | 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) | |
| 25.22% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1003 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "dancing" | | 1 | "whisper" | | 2 | "pulsed" | | 3 | "sense of" | | 4 | "otherworldly" | | 5 | "almost alive" | | 6 | "tinged" | | 7 | "scanning" | | 8 | "intricate" | | 9 | "tracing" | | 10 | "raced" | | 11 | "apprehension" | | 12 | "determined" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "air was thick with" | | count | 2 |
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| | highlights | | 0 | "The air was thick with" | | 1 | "the air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 49 | | matches | | |
| 26.24% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 4 | | narrationSentences | 49 | | filterMatches | (empty) | | hedgeMatches | | |
| 62.88% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 68 | | gibberishSentences | 4 | | adjustedGibberishSentences | 4 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0.059 | | matches | | 0 | "She turned to see a grand hall in the distance, its doors open, and smoke rising from内心的深处传来一阵颤栗,但她的目光被前方的景象所吸引。她看到一排排的人们,穿着华丽的服饰,正在举行盛大的宴会。他们的笑声和谈话声在空气中回荡,仿佛这里是一个无尽的庆典。她看到一个高大的身影站…" | | 1 | "Fae Grove的景象重新出现在她眼前,月光下的景象显得更加宁静和神秘。Rory的心跳渐渐恢复了正常,但她的心中充满了新的决心和目的。" | | 2 | "Rory紧握着Fae-forged blade,心中充满了信念。“我已经做好了准备。无论前方是什么,我都会走到最后。”" | | 3 | "他们三人再次迈步,深入Fae Grove,每一步都带着新的发现和未知的挑战。在这个古老而神秘的地方,他们将找到他们所寻求的真相,而这一切,只是他们漫长旅程的开始。" |
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| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1003 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 722 | | uniqueNames | 12 | | maxNameDensity | 1.66 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Carter | 1 | | Rory | 12 | | Isolde | 9 | | Half-Fae | 1 | | Nyx | 4 | | Shade | 1 | | Varga | 1 | | Fae | 4 | | Grove | 2 | | Fae-forged | 1 |
| | persons | | 0 | "Carter" | | 1 | "Rory" | | 2 | "Isolde" | | 3 | "Nyx" | | 4 | "Shade" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Fae" | | 3 | "Grove" | | 4 | "Fae-forged" |
| | globalScore | 0.669 | | windowScore | 0.667 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 44 | | glossingSentenceCount | 3 | | matches | | 0 | "grace that seemed to defy the laws of time and space" | | 1 | "carvings that seemed to shift and change as she watched" | | 2 | "not quite her own, distorted and ethereal" |
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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 | 1003 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 68 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 29.5 | | std | 26.55 | | cv | 0.9 | | sampleLengths | | 0 | 107 | | 1 | 82 | | 2 | 26 | | 3 | 33 | | 4 | 34 | | 5 | 62 | | 6 | 38 | | 7 | 49 | | 8 | 59 | | 9 | 15 | | 10 | 36 | | 11 | 56 | | 12 | 12 | | 13 | 34 | | 14 | 34 | | 15 | 41 | | 16 | 39 | | 17 | 34 | | 18 | 50 | | 19 | 27 | | 20 | 31 | | 21 | 73 | | 22 | 17 | | 23 | 1 | | 24 | 1 | | 25 | 1 | | 26 | 1 | | 27 | 1 | | 28 | 2 | | 29 | 1 | | 30 | 1 | | 31 | 1 | | 32 | 2 | | 33 | 2 |
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| 83.78% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 49 | | matches | | 0 | "was filled" | | 1 | "was determined" | | 2 | "was covered" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 117 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 68 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 723 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.022130013831258646 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.011065006915629323 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 68 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 68 | | mean | 14.75 | | std | 8.9 | | cv | 0.603 | | sampleLengths | | 0 | 25 | | 1 | 19 | | 2 | 21 | | 3 | 21 | | 4 | 21 | | 5 | 25 | | 6 | 18 | | 7 | 14 | | 8 | 25 | | 9 | 26 | | 10 | 17 | | 11 | 16 | | 12 | 10 | | 13 | 24 | | 14 | 9 | | 15 | 7 | | 16 | 17 | | 17 | 29 | | 18 | 15 | | 19 | 23 | | 20 | 11 | | 21 | 14 | | 22 | 24 | | 23 | 15 | | 24 | 26 | | 25 | 18 | | 26 | 15 | | 27 | 4 | | 28 | 32 | | 29 | 22 | | 30 | 15 | | 31 | 19 | | 32 | 12 | | 33 | 34 | | 34 | 7 | | 35 | 21 | | 36 | 6 | | 37 | 9 | | 38 | 32 | | 39 | 10 | | 40 | 29 | | 41 | 12 | | 42 | 13 | | 43 | 9 | | 44 | 15 | | 45 | 15 | | 46 | 20 | | 47 | 13 | | 48 | 10 | | 49 | 4 |
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| 48.76% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.3283582089552239 | | totalSentences | 67 | | uniqueOpeners | 22 | |
| 74.07% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 45 | | matches | | 0 | "Suddenly, the trees parted, and" |
| | ratio | 0.022 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 11 | | totalSentences | 45 | | matches | | 0 | "She had followed the map" | | 1 | "They approached the boundary of" | | 2 | "She closed her eyes, her" | | 3 | "They moved deeper into the" | | 4 | "she whispered, her voice barely" | | 5 | "They continued on, the path" | | 6 | "She looked up to see" | | 7 | "She had come this far," | | 8 | "They moved through the glade," | | 9 | "She drew a deep breath" | | 10 | "She turned to see a" |
| | ratio | 0.244 | |
| 15.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 40 | | totalSentences | 45 | | matches | | 0 | "The moon cast a silver" | | 1 | "Aurora Carter, known to her" | | 2 | "She had followed the map" | | 3 | "They approached the boundary of" | | 4 | "The air grew colder as" | | 5 | "Rory hesitated, her hand brushing" | | 6 | "The moment she touched it," | | 7 | "Isolde's voice was a soft" | | 8 | "Rory took a deep breath," | | 9 | "Nyx's form solidified, their faintly" | | 10 | "Rory nodded, stepping forward and" | | 11 | "The moment she crossed, the" | | 12 | "The dense forest transformed into" | | 13 | "The air was thick with" | | 14 | "Nyx drifted beside her, their" | | 15 | "Isolde followed, her silver hair" | | 16 | "She closed her eyes, her" | | 17 | "They moved deeper into the" | | 18 | "The air was filled with" | | 19 | "Rory’s hand instinctively went to" |
| | ratio | 0.889 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 45 | | matches | (empty) | | ratio | 0 | |
| 20.41% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 6 | | matches | | 0 | "The moon cast a silver glow over Richmond Park, its light filtering through the ancient oaks and casting long, dancing shadows on the forest floor." | | 1 | "They approached the boundary of the Fae Grove, marked by ancient oak standing stones that towered over them, their surfaces covered in moss and lichen." | | 2 | "The air was thick with the scent of honey and jasmine, and the ground beneath her feet felt softer, more spongy, as if the earth itself pulsed with life." | | 3 | "They continued on, the path leading them to a clearing where a small stream flowed, its water shimmering with an otherworldly light." | | 4 | "Rory knelt beside it, her fingers brushing the surface, which felt strangely warm, almost alive." | | 5 | "She looked up to see Isolde standing a few steps away, her feet leaving no footprints on the ground." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 1 | | matches | | 0 | "she whispered, her voice barely above a murmur" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 23 | | tagDensity | 0.087 | | leniency | 0.174 | | rawRatio | 0.5 | | effectiveRatio | 0.087 | |