| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 1 | | adverbTags | | 0 | "Her voice sounded too [too]" |
| | dialogueSentences | 4 | | tagDensity | 0.75 | | leniency | 1 | | rawRatio | 0.333 | | effectiveRatio | 0.333 | |
| 93.88% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 817 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 817 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "pulsed" | | 1 | "warmth" | | 2 | "silence" | | 3 | "loomed" | | 4 | "pulse" | | 5 | "whisper" | | 6 | "footsteps" | | 7 | "weight" | | 8 | "flicker" | | 9 | "searing" | | 10 | "looming" | | 11 | "sentinels" | | 12 | "raced" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "world had stopped" | | count | 1 |
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| | highlights | | 0 | "as if the world had tilted" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 98 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 98 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 99 | | 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 | 5 | | markdownWords | 5 | | totalWords | 806 | | ratio | 0.006 | | matches | | 0 | "sideways" | | 1 | "alive" | | 2 | "doors" | | 3 | "him" | | 4 | "shifted" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 99.75% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 796 | | uniqueNames | 5 | | maxNameDensity | 1.01 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Grove | 4 | | Carter | 2 | | Eva | 1 | | Silence | 1 | | Rory | 8 |
| | persons | | 0 | "Grove" | | 1 | "Carter" | | 2 | "Eva" | | 3 | "Rory" |
| | places | | | globalScore | 0.997 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 1 | | matches | | |
| 75.93% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.241 | | wordCount | 806 | | matches | | 0 | "not down, but *sideways*, as if the world had tilted on its axis" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 99 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 19.66 | | std | 19.4 | | cv | 0.987 | | sampleLengths | | 0 | 4 | | 1 | 63 | | 2 | 60 | | 3 | 31 | | 4 | 3 | | 5 | 2 | | 6 | 36 | | 7 | 10 | | 8 | 1 | | 9 | 57 | | 10 | 4 | | 11 | 36 | | 12 | 15 | | 13 | 1 | | 14 | 1 | | 15 | 2 | | 16 | 35 | | 17 | 11 | | 18 | 7 | | 19 | 53 | | 20 | 53 | | 21 | 4 | | 22 | 37 | | 23 | 23 | | 24 | 21 | | 25 | 1 | | 26 | 46 | | 27 | 6 | | 28 | 5 | | 29 | 5 | | 30 | 40 | | 31 | 6 | | 32 | 6 | | 33 | 3 | | 34 | 41 | | 35 | 11 | | 36 | 6 | | 37 | 33 | | 38 | 3 | | 39 | 7 | | 40 | 17 |
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| 94.52% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 98 | | matches | | 0 | "was supposed" | | 1 | "were blurred" | | 2 | "were sewn" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 148 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 99 | | ratio | 0.101 | | matches | | 0 | "The air was thick, heavy with the scent of damp moss and something else—something metallic, like old blood left to rust." | | 1 | "The sound came from the left—too sharp, too deliberate." | | 2 | "Then—footsteps." | | 3 | "Something moved at the edge of her vision—a flicker of motion, too fast to be human." | | 4 | "The ground tilted beneath her, and for a second, she was falling—not down, but *sideways*, as if the world had tilted on its axis." | | 5 | "They were eyes—dozens of them, black and glossy, blinking slowly in the dim light." | | 6 | "A sound cut through the silence—a wet, clicking noise, like bones snapping together." | | 7 | "Their mouths were sewn shut with dark thread, but their eyes—oh, their eyes were wide and black, reflecting nothing." | | 8 | "She skidded around a bend—and froze." | | 9 | "Rory Carter turned and ran straight through the nearest standing stone—and didn’t come out the other side." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 807 | | adjectiveStacks | 1 | | stackExamples | | 0 | "tight over jagged bones." |
| | adverbCount | 29 | | adverbRatio | 0.03593556381660471 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0024783147459727386 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 99 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 99 | | mean | 8.14 | | std | 5.56 | | cv | 0.683 | | sampleLengths | | 0 | 4 | | 1 | 25 | | 2 | 21 | | 3 | 14 | | 4 | 3 | | 5 | 7 | | 6 | 22 | | 7 | 14 | | 8 | 17 | | 9 | 18 | | 10 | 6 | | 11 | 7 | | 12 | 3 | | 13 | 2 | | 14 | 9 | | 15 | 3 | | 16 | 3 | | 17 | 3 | | 18 | 7 | | 19 | 1 | | 20 | 10 | | 21 | 10 | | 22 | 1 | | 23 | 10 | | 24 | 16 | | 25 | 10 | | 26 | 10 | | 27 | 11 | | 28 | 4 | | 29 | 5 | | 30 | 14 | | 31 | 5 | | 32 | 6 | | 33 | 4 | | 34 | 2 | | 35 | 15 | | 36 | 1 | | 37 | 1 | | 38 | 2 | | 39 | 14 | | 40 | 4 | | 41 | 3 | | 42 | 11 | | 43 | 3 | | 44 | 11 | | 45 | 2 | | 46 | 5 | | 47 | 16 | | 48 | 4 | | 49 | 9 |
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| 32.83% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.24242424242424243 | | totalSentences | 99 | | uniqueOpeners | 24 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 86 | | matches | (empty) | | ratio | 0 | |
| 57.21% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 86 | | matches | | 0 | "She ignored it." | | 1 | "She’d memorised the route from" | | 2 | "She hadn’t brought it for" | | 3 | "She’d come for answers, not" | | 4 | "Her breath hitched." | | 5 | "Her voice sounded too loud" | | 6 | "She exhaled, slow, and turned" | | 7 | "She reached out, her palm" | | 8 | "It was a whisper, slithering" | | 9 | "She kept her tone steady," | | 10 | "She whirled, her knife half-drawn" | | 11 | "Her skin prickled." | | 12 | "she demanded, though she already" | | 13 | "She backed up, her heel" | | 14 | "She hit the earth hard," | | 15 | "She fumbled at the chain," | | 16 | "She gasped, rolling onto her" | | 17 | "Their branches weren’t branches anymore." | | 18 | "They were limbs, twisted and" | | 19 | "They were eyes—dozens of them," |
| | ratio | 0.407 | |
| 6.51% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 78 | | totalSentences | 86 | | matches | | 0 | "The Grove smelled wrong." | | 1 | "Rory Carter stepped through the" | | 2 | "The air was thick, heavy" | | 3 | "The pendant at her throat" | | 4 | "She ignored it." | | 5 | "The path ahead should have" | | 6 | "She’d memorised the route from" | | 7 | "The wildflowers that usually carpeted" | | 8 | "Rory adjusted the strap of" | | 9 | "She hadn’t brought it for" | | 10 | "She’d come for answers, not" | | 11 | "A twig snapped." | | 12 | "The sound came from the" | | 13 | "Her breath hitched." | | 14 | "The Grove was supposed to" | | 15 | "Her voice sounded too loud" | | 16 | "She exhaled, slow, and turned" | | 17 | "The trees here were older," | | 18 | "The standing stones loomed ahead," | | 19 | "She reached out, her palm" |
| | ratio | 0.907 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 86 | | matches | (empty) | | ratio | 0 | |
| 67.67% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 4 | | matches | | 0 | "The wildflowers that usually carpeted the ground were sparse here, their petals curled inward as if recoiling." | | 1 | "The pendant flared, a pulse of heat that made her flinch." | | 2 | "She gasped, rolling onto her back, staring up at the canopy." | | 3 | "Three of them, standing open, their surfaces pulsing with the same crimson light as the pendant." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 1 | | matches | | 0 | "She kept, but her pulse roared in her ears" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 4 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 1 | | effectiveRatio | 0.5 | |