| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 4 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 76.59% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1068 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "truly" | | 1 | "slightly" | | 2 | "slowly" | | 3 | "gently" | | 4 | "suddenly" |
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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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1068 | | totalAiIsms | 30 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | word | "down her spine" | | count | 1 |
| | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | | | 25 | |
| | highlights | | 0 | "echoing" | | 1 | "silence" | | 2 | "weight" | | 3 | "familiar" | | 4 | "potential" | | 5 | "warmth" | | 6 | "comfortable" | | 7 | "loomed" | | 8 | "sense of" | | 9 | "down her spine" | | 10 | "scanned" | | 11 | "sentinel" | | 12 | "pulsed" | | 13 | "throbbed" | | 14 | "trembled" | | 15 | "scanning" | | 16 | "resolved" | | 17 | "fractured" | | 18 | "oppressive" | | 19 | "whisper" | | 20 | "rhythmic" | | 21 | "throb" | | 22 | "stomach" | | 23 | "churn" | | 24 | "tracing" | | 25 | "searing" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 112 | | matches | (empty) | |
| 53.57% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 6 | | narrationSentences | 112 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "began to" | | 2 | "tried to" | | 3 | "managed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 114 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 14 | | totalWords | 1066 | | ratio | 0.013 | | matches | | 0 | "Hel portals don’t politely wait for you to be ready, Rory." | | 1 | "growing" | | 2 | "shifted" | | 3 | "through" |
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| 25.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 2 | | matches | | 0 | "They marked the boundary, Eva said, the veil between worlds thinning within the circle." | | 1 | "Just a deer, she told herself." |
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| 97.57% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 1049 | | uniqueNames | 14 | | maxNameDensity | 1.05 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Fae | 2 | | Grove | 3 | | Eva | 6 | | Park | 2 | | Yu-Fei | 1 | | November | 1 | | Hel | 2 | | Epping | 1 | | Forest | 1 | | Heartstone | 1 | | Pendant | 1 | | Evan | 1 | | Laila | 1 | | Rory | 11 |
| | persons | | 0 | "Eva" | | 1 | "November" | | 2 | "Pendant" | | 3 | "Evan" | | 4 | "Laila" | | 5 | "Rory" |
| | places | | 0 | "Fae" | | 1 | "Grove" | | 2 | "Park" | | 3 | "Epping" | | 4 | "Forest" |
| | globalScore | 0.976 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 83 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1066 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 114 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 30.46 | | std | 22.57 | | cv | 0.741 | | sampleLengths | | 0 | 55 | | 1 | 53 | | 2 | 78 | | 3 | 74 | | 4 | 5 | | 5 | 52 | | 6 | 70 | | 7 | 49 | | 8 | 37 | | 9 | 38 | | 10 | 4 | | 11 | 66 | | 12 | 44 | | 13 | 41 | | 14 | 15 | | 15 | 2 | | 16 | 7 | | 17 | 49 | | 18 | 9 | | 19 | 32 | | 20 | 7 | | 21 | 3 | | 22 | 38 | | 23 | 30 | | 24 | 8 | | 25 | 30 | | 26 | 13 | | 27 | 3 | | 28 | 34 | | 29 | 31 | | 30 | 12 | | 31 | 15 | | 32 | 11 | | 33 | 46 | | 34 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 112 | | matches | | |
| 87.64% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 178 | | matches | | 0 | "was sketching" | | 1 | "wasn't looking" | | 2 | "was looking" |
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| 92.73% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 114 | | ratio | 0.018 | | matches | | 0 | "She’d told Yu-Fei she was sketching potential landscapes for menu art – a harmless enough lie." | | 1 | "She’d been chasing whispers of increased activity, strange disappearances reported in the local news – hikers lost in Epping Forest, cyclists vanishing on quiet country roads." |
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| 89.04% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1051 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, crescent-shaped scar." |
| | adverbCount | 48 | | adverbRatio | 0.04567078972407231 | | lyAdverbCount | 21 | | lyAdverbRatio | 0.019980970504281638 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 114 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 114 | | mean | 9.35 | | std | 4.71 | | cv | 0.504 | | sampleLengths | | 0 | 15 | | 1 | 7 | | 2 | 22 | | 3 | 11 | | 4 | 9 | | 5 | 9 | | 6 | 8 | | 7 | 13 | | 8 | 5 | | 9 | 5 | | 10 | 4 | | 11 | 19 | | 12 | 16 | | 13 | 9 | | 14 | 16 | | 15 | 7 | | 16 | 11 | | 17 | 14 | | 18 | 14 | | 19 | 10 | | 20 | 17 | | 21 | 10 | | 22 | 9 | | 23 | 5 | | 24 | 14 | | 25 | 6 | | 26 | 3 | | 27 | 10 | | 28 | 9 | | 29 | 10 | | 30 | 24 | | 31 | 26 | | 32 | 20 | | 33 | 4 | | 34 | 5 | | 35 | 16 | | 36 | 11 | | 37 | 13 | | 38 | 9 | | 39 | 11 | | 40 | 9 | | 41 | 8 | | 42 | 5 | | 43 | 16 | | 44 | 5 | | 45 | 3 | | 46 | 9 | | 47 | 4 | | 48 | 7 | | 49 | 6 |
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| 42.11% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.2894736842105263 | | totalSentences | 114 | | uniqueOpeners | 33 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 9 | | totalSentences | 110 | | matches | | 0 | "Instead, a prickle of unease" | | 1 | "Just a subtle…softening." | | 2 | "Just a deer, she told" | | 3 | "Just branches swaying in a" | | 4 | "Instead, its frantic pulsing had" | | 5 | "Just the unsettling sensation of" | | 6 | "More like impressions, vaguely humanoid," | | 7 | "Soft, melodic, and terrifyingly close." | | 8 | "Only Eva did, a childhood" |
| | ratio | 0.082 | |
| 89.09% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 110 | | matches | | 0 | "She’d visited the Fae Grove" | | 1 | "She hesitated, one hand resting" | | 2 | "She’d told Yu-Fei she was" | | 3 | "It had been pulsing with" | | 4 | "They marked the boundary, Eva" | | 5 | "She should have felt a" | | 6 | "She stepped between the stones." | | 7 | "It wasn’t a dramatic shift," | | 8 | "She walked further in, the" | | 9 | "She’d come hoping for a" | | 10 | "She’d been chasing whispers of" | | 11 | "She pulled the Heartstone Pendant" | | 12 | "It throbbed, erratic and frantic," | | 13 | "She began to sketch the" | | 14 | "Her hand trembled." | | 15 | "She hadn’t felt this exposed," | | 16 | "She froze, pencil hovering over" | | 17 | "She lifted her head, scanning" | | 18 | "She tried to resume sketching," | | 19 | "She’d been inside the Grove" |
| | ratio | 0.327 | |
| 64.55% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 87 | | totalSentences | 110 | | matches | | 0 | "The wrought iron gate groaned" | | 1 | "Rory hadn’t expected it to" | | 2 | "She’d visited the Fae Grove" | | 3 | "She hesitated, one hand resting" | | 4 | "Richmond Park was never truly" | | 5 | "The distant hum of traffic," | | 6 | "A shift in the air." | | 7 | "Tonight, there was only silence." | | 8 | "A holding of breath." | | 9 | "Rory adjusted the strap of" | | 10 | "She’d told Yu-Fei she was" | | 11 | "The truth was she needed" | | 12 | "It had been pulsing with" | | 13 | "Eva had warned her about" | | 14 | "*Hel portals don’t politely wait" | | 15 | "The standing stones loomed ahead," | | 16 | "They marked the boundary, Eva" | | 17 | "The wildflowers, even in late" | | 18 | "Lavender, crimson, gold, a defiant" | | 19 | "She should have felt a" |
| | ratio | 0.791 | |
| 90.91% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 110 | | matches | | 0 | "Now, it swung inward with" | | 1 | "Now, it seemed to lean" |
| | ratio | 0.018 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 5 | | matches | | 0 | "It had been pulsing with a nervous energy all day, a warmth that wasn't quite comfortable." | | 1 | "Things Eva, with her deeply rooted knowledge of the Fae and the things that lurked beyond, had speculated were connected." | | 2 | "The wildflowers brushed against her jeans, releasing a cloying sweetness that made her stomach churn." | | 3 | "She stumbled back, her hand flying to her left wrist, instinctively tracing the small, crescent-shaped scar." | | 4 | "The pendant burned against her skin, its warmth turning to searing heat." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 1 | | matches | | 0 | "she managed, her voice barely a whisper" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "she called out (call out)" |
| | dialogueSentences | 4 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 1 | | effectiveRatio | 0.5 | |