| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 1 | | adverbTags | | 0 | "He bowed again [again]" |
| | dialogueSentences | 26 | | tagDensity | 0.654 | | leniency | 1 | | rawRatio | 0.059 | | effectiveRatio | 0.059 | |
| 87.63% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1213 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "gently" | | 1 | "very" | | 2 | "slightly" |
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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 | 1213 | | totalAiIsms | 33 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | | | 25 | | | 26 | |
| | highlights | | 0 | "chill" | | 1 | "pulsed" | | 2 | "whisper" | | 3 | "familiar" | | 4 | "pulse" | | 5 | "warmth" | | 6 | "navigated" | | 7 | "crystalline" | | 8 | "intricate" | | 9 | "weight" | | 10 | "remarkable" | | 11 | "scanning" | | 12 | "structure" | | 13 | "resolving" | | 14 | "shimmered" | | 15 | "velvet" | | 16 | "tinged" | | 17 | "silk" | | 18 | "flicker" | | 19 | "fleeting" | | 20 | "measured" | | 21 | "gleaming" | | 22 | "tapestry" | | 23 | "tension" | | 24 | "desire" | | 25 | "glistening" | | 26 | "chilling" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 87 | | matches | | |
| 44.33% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 6 | | narrationSentences | 87 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 96 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1199 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 1060 | | uniqueNames | 11 | | maxNameDensity | 1.51 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Aurora" | | discoveredNames | | Heartstone | 3 | | Aurora | 16 | | Isolde | 6 | | Richmond | 1 | | Park | 1 | | Fae | 1 | | Grove | 1 | | Nyx | 7 | | Helbound | 1 | | Dymas | 1 | | One | 3 |
| | persons | | 0 | "Heartstone" | | 1 | "Aurora" | | 2 | "Isolde" | | 3 | "Nyx" | | 4 | "Dymas" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Fae" | | 3 | "Grove" |
| | globalScore | 0.745 | | windowScore | 0.667 | |
| 79.58% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | glossingSentenceCount | 2 | | matches | | 0 | "whisper that seemed to steal the heat from the air" | | 1 | "something akin to annoyance crossing his face" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.834 | | wordCount | 1199 | | matches | | 0 | "Not a city built of stone and mortar, but of flowing, organic forms" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 96 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 29.98 | | std | 17.94 | | cv | 0.599 | | sampleLengths | | 0 | 42 | | 1 | 19 | | 2 | 20 | | 3 | 71 | | 4 | 16 | | 5 | 44 | | 6 | 10 | | 7 | 42 | | 8 | 15 | | 9 | 42 | | 10 | 42 | | 11 | 13 | | 12 | 50 | | 13 | 6 | | 14 | 73 | | 15 | 8 | | 16 | 13 | | 17 | 24 | | 18 | 21 | | 19 | 39 | | 20 | 60 | | 21 | 49 | | 22 | 13 | | 23 | 18 | | 24 | 47 | | 25 | 10 | | 26 | 16 | | 27 | 16 | | 28 | 65 | | 29 | 30 | | 30 | 19 | | 31 | 45 | | 32 | 14 | | 33 | 35 | | 34 | 21 | | 35 | 12 | | 36 | 26 | | 37 | 19 | | 38 | 41 | | 39 | 33 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 87 | | matches | (empty) | |
| 24.56% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 190 | | matches | | 0 | "was gorging" | | 1 | "were vying" | | 2 | "was carving was weaving" | | 3 | "was pouring" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 96 | | ratio | 0.094 | | matches | | 0 | "The ancient oaks guarding the Fae Grove had vanished, replaced by trees unlike any Aurora had ever seen—their bark a shimmering jade, their leaves a cascade of sapphire and ruby." | | 1 | "A pulse of warmth flowed through her fingertips, followed by a dizzying rush of images—vines heavy with unfamiliar fruit, swirling feasts of unimaginable extravagance, faces blurred with pleasure and…" | | 2 | "Sounds drifted up from below—the murmur of conversation, the clinking of glasses, music that was both vibrant and unsettlingly melancholic." | | 3 | "Instead, sprawling orchards stretched as far as the eye could see, laden with fruit the colors of jewels—amethyst plums, golden mangoes, scarlet pomegranates." | | 4 | "Tables groaned under the weight of impossible delicacies—roast birds with plumage crafted from spun gold, pies filled with glowing, iridescent berries, stacks of pastries taller than Aurora’s head." | | 5 | "Isolde remained silent, her gaze fixed on a distant structure—a towering palace crafted from polished amber, its spires crowned with clusters of ruby-red fruit." | | 6 | "The music grew louder, resolving into a strange, jazzy tune played on instruments Aurora couldn’t identify—a flute carved from horn, a drum made of stretched hide that shimmered with an oily sheen." | | 7 | "Figures began to materialize from the shadows—Helbound souls, she realized, their faces pale and drawn, their eyes filled with a vacant, almost blissful expression." | | 8 | "A group of souls passed them, carrying platters laden with roasted peacock—its feathers still shimmering, its eyes vacant." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1074 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.024208566108007448 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.013966480446927373 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 96 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 96 | | mean | 12.49 | | std | 7.92 | | cv | 0.634 | | sampleLengths | | 0 | 13 | | 1 | 14 | | 2 | 15 | | 3 | 19 | | 4 | 9 | | 5 | 11 | | 6 | 41 | | 7 | 30 | | 8 | 8 | | 9 | 2 | | 10 | 6 | | 11 | 9 | | 12 | 29 | | 13 | 2 | | 14 | 4 | | 15 | 8 | | 16 | 2 | | 17 | 11 | | 18 | 15 | | 19 | 16 | | 20 | 10 | | 21 | 5 | | 22 | 13 | | 23 | 29 | | 24 | 9 | | 25 | 13 | | 26 | 20 | | 27 | 7 | | 28 | 3 | | 29 | 3 | | 30 | 7 | | 31 | 23 | | 32 | 20 | | 33 | 4 | | 34 | 2 | | 35 | 13 | | 36 | 17 | | 37 | 15 | | 38 | 28 | | 39 | 8 | | 40 | 9 | | 41 | 4 | | 42 | 24 | | 43 | 9 | | 44 | 12 | | 45 | 7 | | 46 | 32 | | 47 | 24 | | 48 | 13 | | 49 | 11 |
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| 69.79% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.46875 | | totalSentences | 96 | | uniqueOpeners | 45 | |
| 39.68% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 84 | | matches | | 0 | "Instead, sprawling orchards stretched as" |
| | ratio | 0.012 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 84 | | matches | | 0 | "It pulsed faster now, a" | | 1 | "She simply *was*, a silver-haired" | | 2 | "They’d followed the pull of" | | 3 | "It sloped gently downwards, disappearing" | | 4 | "They extended a hand, and" | | 5 | "They began to descend, the" | | 6 | "It was impossible." | | 7 | "It shouldn’t exist." | | 8 | "It was a feast laid" | | 9 | "They walked further, drawn towards" | | 10 | "They moved with a languid" | | 11 | "She was gorging herself on" | | 12 | "He didn't apologize." | | 13 | "He simply stared through her" | | 14 | "He continued to drift along," | | 15 | "They came to a clearing" | | 16 | "He bowed deeply." | | 17 | "he said, his voice devoid" | | 18 | "He gestured towards a table" | | 19 | "she stated, her voice resonating" |
| | ratio | 0.25 | |
| 43.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 70 | | totalSentences | 84 | | matches | | 0 | "The Heartstone warmed against Aurora’s" | | 1 | "It pulsed faster now, a" | | 2 | "Nyx shifted beside her, a" | | 3 | "Nyx murmured, their voice a" | | 4 | "Isolde, impossibly, hadn’t left footprints" | | 5 | "She simply *was*, a silver-haired" | | 6 | "They’d followed the pull of" | | 7 | "The ancient oaks guarding the" | | 8 | "The air tasted of spice" | | 9 | "Aurora reached out, hesitant, and" | | 10 | "A pulse of warmth flowed" | | 11 | "A silent, insatiable hunger." | | 12 | "Isolde breathed, her pale lavender" | | 13 | "A path, paved with smooth," | | 14 | "It sloped gently downwards, disappearing" | | 15 | "The light didn't come from" | | 16 | "Aurora said, adjusting the strap" | | 17 | "Nyx moved forward, their form" | | 18 | "They extended a hand, and" | | 19 | "They began to descend, the" |
| | ratio | 0.833 | |
| 59.52% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 84 | | matches | | 0 | "To turn around and run" |
| | ratio | 0.012 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 2 | | matches | | 0 | "Sounds drifted up from below—the murmur of conversation, the clinking of glasses, music that was both vibrant and unsettlingly melancholic." | | 1 | "Waterfalls cascaded down tiered gardens, feeding into intricate networks of canals that crisscrossed the valley." |
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| 7.35% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 4 | | matches | | 0 | "Nyx murmured, their violet eyes scanning the scene" | | 1 | "Nyx replied, their voice a sigh" | | 2 | "he said, his voice devoid of emotion" | | 3 | "she stated, her voice resonating with an unexpected authority" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 8 | | fancyTags | | 0 | "Nyx murmured (murmur)" | | 1 | "Isolde breathed (breathe)" | | 2 | "Nyx murmured (murmur)" | | 3 | "Aurora observed (observe)" | | 4 | "Aurora commented (comment)" | | 5 | "Aurora blurted out (blurt out)" | | 6 | "Nyx whispered (whisper)" | | 7 | "she stated (state)" |
| | dialogueSentences | 26 | | tagDensity | 0.462 | | leniency | 0.923 | | rawRatio | 0.667 | | effectiveRatio | 0.615 | |