| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 0 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.72% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1373 | | 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) | |
| 30.81% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1373 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "scanning" | | 1 | "chill" | | 2 | "weight" | | 3 | "pulse" | | 4 | "warmth" | | 5 | "looming" | | 6 | "silence" | | 7 | "pulsed" | | 8 | "whisper" | | 9 | "rhythmic" | | 10 | "perfect" | | 11 | "racing" | | 12 | "could feel" |
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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 | 135 | | matches | (empty) | |
| 68.78% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 5 | | narrationSentences | 135 | | filterMatches | | | hedgeMatches | | 0 | "managed to" | | 1 | "seemed to" | | 2 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 135 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1373 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 1 | | matches | | 0 | "Probably a fox, she told herself." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 1359 | | uniqueNames | 15 | | maxNameDensity | 0.81 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Carter | 2 | | Fae | 2 | | Grove | 4 | | Golden | 1 | | Empress | 1 | | Cardiff | 2 | | London | 2 | | Evan | 1 | | Heartstone | 5 | | Richmond | 2 | | Park | 2 | | Earth | 1 | | Hel | 2 | | Aurora | 2 | | Rory | 11 |
| | persons | | 0 | "Carter" | | 1 | "Evan" | | 2 | "Heartstone" | | 3 | "Aurora" | | 4 | "Rory" |
| | places | | 0 | "Fae" | | 1 | "Grove" | | 2 | "Cardiff" | | 3 | "London" | | 4 | "Richmond" | | 5 | "Park" | | 6 | "Hel" |
| | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 99 | | glossingSentenceCount | 6 | | matches | | 0 | "as if hiding from the light" | | 1 | "sounded like her name, stripped of vowels" | | 2 | "felt like skin, warm and vibrating slig" | | 3 | "looked like a figure" | | 4 | "looked like a step" | | 5 | "felt like a finger, light as a moth's w" |
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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 | 1373 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 135 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 42.91 | | std | 25.44 | | cv | 0.593 | | sampleLengths | | 0 | 92 | | 1 | 84 | | 2 | 57 | | 3 | 80 | | 4 | 8 | | 5 | 59 | | 6 | 16 | | 7 | 26 | | 8 | 84 | | 9 | 4 | | 10 | 70 | | 11 | 57 | | 12 | 13 | | 13 | 52 | | 14 | 55 | | 15 | 27 | | 16 | 28 | | 17 | 41 | | 18 | 54 | | 19 | 53 | | 20 | 36 | | 21 | 60 | | 22 | 3 | | 23 | 14 | | 24 | 67 | | 25 | 6 | | 26 | 57 | | 27 | 9 | | 28 | 51 | | 29 | 47 | | 30 | 22 | | 31 | 41 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 135 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 223 | | matches | | 0 | "was hunting" | | 1 | "was standing" | | 2 | "was building" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 135 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 570 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 17 | | adverbRatio | 0.02982456140350877 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.008771929824561403 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 135 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 135 | | mean | 10.17 | | std | 6.04 | | cv | 0.594 | | sampleLengths | | 0 | 26 | | 1 | 15 | | 2 | 27 | | 3 | 7 | | 4 | 17 | | 5 | 24 | | 6 | 8 | | 7 | 4 | | 8 | 5 | | 9 | 1 | | 10 | 28 | | 11 | 14 | | 12 | 10 | | 13 | 17 | | 14 | 24 | | 15 | 6 | | 16 | 3 | | 17 | 9 | | 18 | 25 | | 19 | 6 | | 20 | 18 | | 21 | 19 | | 22 | 8 | | 23 | 8 | | 24 | 25 | | 25 | 11 | | 26 | 15 | | 27 | 6 | | 28 | 4 | | 29 | 6 | | 30 | 7 | | 31 | 2 | | 32 | 5 | | 33 | 12 | | 34 | 7 | | 35 | 8 | | 36 | 11 | | 37 | 17 | | 38 | 18 | | 39 | 13 | | 40 | 6 | | 41 | 4 | | 42 | 4 | | 43 | 4 | | 44 | 14 | | 45 | 9 | | 46 | 17 | | 47 | 26 | | 48 | 12 | | 49 | 6 |
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| 33.70% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 22 | | diversityRatio | 0.2740740740740741 | | totalSentences | 135 | | uniqueOpeners | 37 | |
| 78.74% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 127 | | matches | | 0 | "Probably a fox, she told" | | 1 | "Just the heavy, pressurized quiet" | | 2 | "Only the Heartstone remained bright," |
| | ratio | 0.024 | |
| 53.07% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 53 | | totalSentences | 127 | | matches | | 0 | "She pulled her jacket tighter" | | 1 | "She tapped the glass face." | | 2 | "She rubbed the small crescent-shaped" | | 3 | "She had come here because" | | 4 | "It had begun to pulse" | | 5 | "They faced away from the" | | 6 | "Their colors were too vibrant," | | 7 | "She was cool-headed by nature," | | 8 | "She turned slowly, her shoulder-length" | | 9 | "She reached into her shirt" | | 10 | "It was roughly the size" | | 11 | "She hadn't believed the folklore" | | 12 | "She believed it now." | | 13 | "You are not alone." | | 14 | "It settled in her mind" | | 15 | "It was the same feeling" | | 16 | "She took a step back" | | 17 | "She walked faster, her boots" | | 18 | "It was a whisper, soft" | | 19 | "She knew better than to" |
| | ratio | 0.417 | |
| 30.87% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 109 | | totalSentences | 127 | | matches | | 0 | "The air inside the oak" | | 1 | "Aurora Carter paused just beyond" | | 2 | "The ancient oaks marked the" | | 3 | "She pulled her jacket tighter" | | 4 | "London nights were usually cold," | | 5 | "Rory checked her watch, a" | | 6 | "The luminous hands on her" | | 7 | "She tapped the glass face." | | 8 | "She rubbed the small crescent-shaped" | | 9 | "The skin beneath her finger" | | 10 | "She had come here because" | | 11 | "The Heartstone hung against her" | | 12 | "It had begun to pulse" | | 13 | "Rory stepped forward." | | 14 | "The grass beneath her boots" | | 15 | "Wildflowers bloomed year-round in the" | | 16 | "They faced away from the" | | 17 | "Their colors were too vibrant," | | 18 | "Something snapped in the darkness" | | 19 | "Rory froze, her breath hitching" |
| | ratio | 0.858 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 127 | | matches | | 0 | "Now, inside the clearing, it" | | 1 | "If the thing out there" | | 2 | "If this was a portal" |
| | ratio | 0.024 | |
| 89.55% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 67 | | technicalSentenceCount | 5 | | matches | | 0 | "The ancient oaks marked the entrance to the Fae Grove, their bark gnarled and twisted into shapes that looked too much like grasping fingers in the moonlight." | | 1 | "She rubbed the small crescent-shaped scar on her left wrist, a nervous habit from childhood that had survived the transition from Cardiff to London, from Evan t…" | | 2 | "It had begun to pulse an hour ago, a faint warmth against her skin that grew hotter the closer she got to Richmond Park." | | 3 | "Their colors were too vibrant, neon splashes of violet and crimson that hurt the eyes in the low light." | | 4 | "She was cool-headed by nature, a trait that had kept her alive through law school and an abusive relationship, but this place stripped away logic." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |