| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.90% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1640 | | 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) | |
| 39.02% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1640 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "pulsed" | | 1 | "silk" | | 2 | "weight" | | 3 | "pulse" | | 4 | "silence" | | 5 | "sentinel" | | 6 | "scanned" | | 7 | "resolved" | | 8 | "shattered" | | 9 | "searing" | | 10 | "fleeting" | | 11 | "echoed" | | 12 | "lurching" | | 13 | "whisper" | | 14 | "perfect" | | 15 | "chilling" | | 16 | "echo" |
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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 | 184 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 4 | | narrationSentences | 184 | | filterMatches | (empty) | | hedgeMatches | | |
| 99.78% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 188 | | gibberishSentences | 1 | | adjustedGibberishSentences | 1 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0.005 | | matches | | 0 | "She rolled, coming up in a crouch, knife握紧." |
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| 29.97% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 13 | | markdownWords | 139 | | totalWords | 1635 | | ratio | 0.085 | | matches | | 0 | "a wrongness, a shadow that drinks the light" | | 1 | "You smell of time." | | 2 | "Disturbance." | | 3 | "You brought the disturbance. The stone. It screams." | | 4 | "Found. Taken. Same friction." | | 5 | "It remembers the hand that cut it free. It calls to blood." | | 6 | "The keeper. The gardener. The one who tends the rot beneath the roots." | | 7 | "You wear a piece of the wound. You carry its pain. It has marked you for harvest." | | 8 | "The grove hungers," | | 9 | "Time is a banquet here. Your fear is a fine wine. Your confusion, a tender morsel." | | 10 | "Look," | | 11 | "The old roots dream. You woke them with your bleeding stone. They want to taste what you carry." | | 12 | "Do not fear the harvest. It is merely a transition. A becoming. You will feed the grove. You will become part of the time. A whisper in the roots. A memory in the stone." |
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| 75.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 1 | | matches | | 0 | "Its mouth opened, and in a voice that was a perfect, chilling echo of her own, it spoke." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 1601 | | uniqueNames | 9 | | maxNameDensity | 0.62 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Yu-Fei | 2 | | Richmond | 1 | | Park | 1 | | Grove | 2 | | Heartstone | 1 | | Rory | 10 | | Evan | 1 | | London | 1 | | You | 7 |
| | persons | | 0 | "Yu-Fei" | | 1 | "Rory" | | 2 | "Evan" | | 3 | "You" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Grove" | | 3 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 59.91% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 111 | | glossingSentenceCount | 4 | | matches | | 0 | "something like ozone after a lightning strik" | | 1 | "looked like solidified night" | | 2 | "sounded like leaves skittering over paveme" | | 3 | "seemed deeper than they should be" |
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| 16.51% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 1.835 | | wordCount | 1635 | | matches | | 0 | "Not a hole, but a disharmony" | | 1 | "not with the grip of wood, but with the cold, grasping strength of fingers" | | 2 | "not a voice, but a deep, subterranean hum" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 188 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 34.79 | | std | 22.82 | | cv | 0.656 | | sampleLengths | | 0 | 27 | | 1 | 101 | | 2 | 61 | | 3 | 12 | | 4 | 79 | | 5 | 4 | | 6 | 66 | | 7 | 34 | | 8 | 64 | | 9 | 11 | | 10 | 19 | | 11 | 4 | | 12 | 43 | | 13 | 19 | | 14 | 25 | | 15 | 23 | | 16 | 33 | | 17 | 21 | | 18 | 25 | | 19 | 35 | | 20 | 40 | | 21 | 5 | | 22 | 75 | | 23 | 48 | | 24 | 52 | | 25 | 47 | | 26 | 33 | | 27 | 60 | | 28 | 31 | | 29 | 3 | | 30 | 54 | | 31 | 69 | | 32 | 6 | | 33 | 27 | | 34 | 54 | | 35 | 39 | | 36 | 20 | | 37 | 49 | | 38 | 42 | | 39 | 31 | | 40 | 3 | | 41 | 49 | | 42 | 17 | | 43 | 33 | | 44 | 7 | | 45 | 33 | | 46 | 2 |
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| 99.54% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 184 | | matches | | 0 | "was savoured" | | 1 | "was filled" | | 2 | "was made" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 276 | | matches | | 0 | "wasn’t digging" | | 1 | "was learning" |
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| 51.67% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 188 | | ratio | 0.032 | | matches | | 0 | "But Yu-Fei’s panicked description of the thing in the cellar—*a wrongness, a shadow that drinks the light*—had mirrored the thing she’d felt since this cursed stone had found her way." | | 1 | "Ancient, moss-slicked stones stood sentinel around a clearing carpeted in a riot of impossible wildflowers—violets and snowdrops and bloody primroses all blooming together under a moonless sky." | | 2 | "It came from the far side of the clearing, near the largest stone—a monolith of granite laced with dark, glittering veins that looked like solidified night." | | 3 | "The soil was darker there, turned over, but it smelled wrong—like burnt sugar and damp copper." | | 4 | "Within the swirl, she saw fleeting images—a child’s face, a crumbling tower, a mouth frozen in a silent scream." | | 5 | "But the pendant was a hot coal against her heart, and the thing in the earth—the keeper, the gardener—was between her and the way she’d come." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1623 | | adjectiveStacks | 1 | | stackExamples | | 0 | "Ancient, moss-slicked stones" |
| | adverbCount | 37 | | adverbRatio | 0.02279728897104128 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.008009858287122612 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 188 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 188 | | mean | 8.7 | | std | 6.19 | | cv | 0.712 | | sampleLengths | | 0 | 12 | | 1 | 13 | | 2 | 2 | | 3 | 4 | | 4 | 19 | | 5 | 30 | | 6 | 21 | | 7 | 6 | | 8 | 19 | | 9 | 2 | | 10 | 7 | | 11 | 27 | | 12 | 20 | | 13 | 7 | | 14 | 7 | | 15 | 3 | | 16 | 2 | | 17 | 13 | | 18 | 14 | | 19 | 9 | | 20 | 5 | | 21 | 7 | | 22 | 6 | | 23 | 24 | | 24 | 1 | | 25 | 4 | | 26 | 5 | | 27 | 11 | | 28 | 12 | | 29 | 26 | | 30 | 4 | | 31 | 8 | | 32 | 6 | | 33 | 9 | | 34 | 2 | | 35 | 9 | | 36 | 7 | | 37 | 1 | | 38 | 10 | | 39 | 10 | | 40 | 1 | | 41 | 5 | | 42 | 6 | | 43 | 16 | | 44 | 12 | | 45 | 4 | | 46 | 5 | | 47 | 3 | | 48 | 2 | | 49 | 1 |
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| 35.11% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 28 | | diversityRatio | 0.26595744680851063 | | totalSentences | 188 | | uniqueOpeners | 50 | |
| 21.37% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 156 | | matches | | | ratio | 0.006 | |
| 55.90% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 64 | | totalSentences | 156 | | matches | | 0 | "She shouldn’t have come." | | 1 | "It coated the back of" | | 2 | "She turned in a slow" | | 3 | "She needed to find the" | | 4 | "It came from the far" | | 5 | "She took a step, then" | | 6 | "She ignored it, focusing on" | | 7 | "Her fingers brushed the dirt." | | 8 | "It was warm." | | 9 | "she whispered to herself, a" | | 10 | "It wasn’t loud." | | 11 | "It was a dry, papery" | | 12 | "She scanned the grove, the" | | 13 | "Her voice was steady" | | 14 | "Her heart was a frantic" | | 15 | "It resolved into words, a" | | 16 | "*You smell of time.* It" | | 17 | "It was the sound of" | | 18 | "They seemed deeper than they" | | 19 | "*You brought the disturbance." |
| | ratio | 0.41 | |
| 27.31% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 135 | | totalSentences | 156 | | matches | | 0 | "The pendant pulsed against her" | | 1 | "Rory pressed her palm flat" | | 2 | "She shouldn’t have come." | | 3 | "The thought was a cold" | | 4 | "A thrumming wrongness that started" | | 5 | "The pulse had led her" | | 6 | "The Grove was a cathedral" | | 7 | "The air was thick, honeyed" | | 8 | "It coated the back of" | | 9 | "The pendant’s heat flared, sharp" | | 10 | "She turned in a slow" | | 11 | "The standing stones marked the" | | 12 | "Time didn’t work right here." | | 13 | "An hour could be a" | | 14 | "A minute could be a" | | 15 | "She needed to find the" | | 16 | "Nothing was ever simple." | | 17 | "A sound sliced the silence." | | 18 | "A wet, ripping noise, like" | | 19 | "Rory froze, her hand hovering" |
| | ratio | 0.865 | |
| 32.05% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 156 | | matches | | 0 | "To Richmond Park, and then" |
| | ratio | 0.006 | |
| 80.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 69 | | technicalSentenceCount | 6 | | matches | | 0 | "Rory pressed her palm flat over it, as if to still its heartbeat." | | 1 | "But Yu-Fei’s panicked description of the thing in the cellar—*a wrongness, a shadow that drinks the light*—had mirrored the thing she’d felt since this cursed s…" | | 2 | "A thrumming wrongness that started in the hollow of her chest and radiated outward, making the world shimmer at the edges." | | 3 | "It came from the far side of the clearing, near the largest stone—a monolith of granite laced with dark, glittering veins that looked like solidified night." | | 4 | "It was made of dark soil, tangled roots, and something that glistened wetly in the pendant’s glow." | | 5 | "A sound poured out, not a voice, but a deep, subterranean hum that she felt in her bones, a vibration that loosened her teeth." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 1 | | matches | | 0 | "Rory said, her eyes darting to the shadows pooling beneath the stones" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "she demanded (demand)" |
| | dialogueSentences | 8 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0.667 | | effectiveRatio | 0.5 | |