| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 22 | | tagDensity | 0.455 | | leniency | 0.909 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.86% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1796 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "truly" | | 1 | "slowly" | | 2 | "gently" | | 3 | "completely" |
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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) | |
| 49.89% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1796 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "pulsed" | | 1 | "perfect" | | 2 | "stomach" | | 3 | "crystalline" | | 4 | "scanned" | | 5 | "vibrated" | | 6 | "velvet" | | 7 | "chill" | | 8 | "shattered" | | 9 | "gleaming" | | 10 | "could feel" | | 11 | "anticipation" | | 12 | "pulse" | | 13 | "thundered" | | 14 | "weight" |
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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 | 2 | | narrationSentences | 128 | | matches | | 0 | "g with joy" | | 1 | "g in sympathy" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 128 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 141 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1784 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 95.79% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 76 | | wordCount | 1568 | | uniqueNames | 26 | | maxNameDensity | 1.08 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Nyx" | | discoveredNames | | Carter | 1 | | December | 1 | | Nyx | 10 | | Varga | 1 | | Fae | 3 | | Grove | 6 | | Heartstone | 2 | | Pendant | 1 | | Dymas | 3 | | Veil | 1 | | Hel | 1 | | Aurora | 17 | | Fae-forged | 1 | | Isolde | 9 | | Normal | 1 | | Brendan | 1 | | Cardiff | 1 | | Evan | 1 | | Heartseed | 4 | | Prince | 2 | | Belphegor | 1 | | Earth | 1 | | London | 2 | | Richmond | 1 | | Park | 1 | | Vines | 3 |
| | persons | | 0 | "Carter" | | 1 | "Nyx" | | 2 | "Varga" | | 3 | "Grove" | | 4 | "Heartstone" | | 5 | "Pendant" | | 6 | "Hel" | | 7 | "Aurora" | | 8 | "Isolde" | | 9 | "Brendan" | | 10 | "Evan" | | 11 | "Heartseed" | | 12 | "Prince" | | 13 | "Belphegor" | | 14 | "Vines" |
| | places | | 0 | "December" | | 1 | "Fae" | | 2 | "Veil" | | 3 | "Normal" | | 4 | "Cardiff" | | 5 | "London" | | 6 | "Richmond" | | 7 | "Park" |
| | globalScore | 0.958 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 103 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like translucent amber" |
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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 | 1784 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 141 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 34.31 | | std | 21.86 | | cv | 0.637 | | sampleLengths | | 0 | 15 | | 1 | 62 | | 2 | 7 | | 3 | 40 | | 4 | 22 | | 5 | 76 | | 6 | 5 | | 7 | 58 | | 8 | 23 | | 9 | 12 | | 10 | 77 | | 11 | 19 | | 12 | 35 | | 13 | 52 | | 14 | 57 | | 15 | 27 | | 16 | 56 | | 17 | 16 | | 18 | 47 | | 19 | 18 | | 20 | 76 | | 21 | 3 | | 22 | 60 | | 23 | 15 | | 24 | 52 | | 25 | 23 | | 26 | 60 | | 27 | 30 | | 28 | 47 | | 29 | 25 | | 30 | 55 | | 31 | 4 | | 32 | 3 | | 33 | 48 | | 34 | 55 | | 35 | 5 | | 36 | 45 | | 37 | 3 | | 38 | 60 | | 39 | 25 | | 40 | 54 | | 41 | 52 | | 42 | 36 | | 43 | 25 | | 44 | 50 | | 45 | 41 | | 46 | 15 | | 47 | 14 | | 48 | 51 | | 49 | 14 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 128 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 253 | | matches | | 0 | "were drowning" | | 1 | "were already turning" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 141 | | ratio | 0.057 | | matches | | 0 | "Between them, the ground dipped into a shallow bowl where a pool of liquid starlight reflected an alien sky—amber streaked with violet, the colors of Dymas bleeding through some unseen crack in the Veil." | | 1 | "When she brushed past a cluster of them, the pollen clung to her sleeve and sang—high, crystalline notes that made her teeth ache with sudden sweetness." | | 2 | "A low thrumming rose from the earth, the sound of distant feasting—laughter too sharp, chewing too wet." | | 3 | "The path—if it could be called a path—narrowed between two colossal roots that had fused into an archway." | | 4 | "Here the trees had been trained—or had trained themselves—into the shapes of banquet tables." | | 5 | "From its lowest branch hung a single fruit—no larger than a plum—encased in what looked like translucent amber." | | 6 | "The fruit dropped into her waiting palm—surprisingly heavy, warm, and alive." | | 7 | "The Prince’s gaze—yellow, indolent, ancient—locked onto hers across the impossible distance." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 557 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.03231597845601436 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.003590664272890485 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 141 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 141 | | mean | 12.65 | | std | 7.65 | | cv | 0.604 | | sampleLengths | | 0 | 15 | | 1 | 19 | | 2 | 26 | | 3 | 17 | | 4 | 7 | | 5 | 7 | | 6 | 15 | | 7 | 11 | | 8 | 7 | | 9 | 13 | | 10 | 9 | | 11 | 7 | | 12 | 17 | | 13 | 34 | | 14 | 6 | | 15 | 4 | | 16 | 8 | | 17 | 5 | | 18 | 9 | | 19 | 23 | | 20 | 26 | | 21 | 13 | | 22 | 10 | | 23 | 5 | | 24 | 7 | | 25 | 3 | | 26 | 23 | | 27 | 21 | | 28 | 15 | | 29 | 15 | | 30 | 8 | | 31 | 11 | | 32 | 13 | | 33 | 20 | | 34 | 2 | | 35 | 7 | | 36 | 36 | | 37 | 9 | | 38 | 10 | | 39 | 20 | | 40 | 2 | | 41 | 2 | | 42 | 19 | | 43 | 4 | | 44 | 17 | | 45 | 10 | | 46 | 27 | | 47 | 6 | | 48 | 11 | | 49 | 12 |
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| 54.14% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.3546099290780142 | | totalSentences | 141 | | uniqueOpeners | 50 | |
| 27.32% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 122 | | matches | | 0 | "Then Nyx was there, wrapping" |
| | ratio | 0.008 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 122 | | matches | | 0 | "She touched it through her" | | 1 | "She had seen it once" | | 2 | "She forced her gaze downward." | | 3 | "She tilted her head, listening" | | 4 | "She thought of her scooter" | | 5 | "It was a window." | | 6 | "It vibrated up through her" | | 7 | "She kept walking." | | 8 | "She shook her head hard." | | 9 | "Its bark was black as" | | 10 | "She did not finish" | | 11 | "She did not need to." | | 12 | "She stopped an arm’s length" | | 13 | "She could feel its eagerness" | | 14 | "She raised the blade." | | 15 | "She brought the blade down." | | 16 | "It squirmed once, like a" | | 17 | "She felt something hot trickle" | | 18 | "They burst through the standing" | | 19 | "She looked almost mortal in" |
| | ratio | 0.197 | |
| 33.77% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 104 | | totalSentences | 122 | | matches | | 0 | "The air tasted of honey" | | 1 | "Aurora Carter stepped first, boots" | | 2 | "Isolde Varga came last, silver" | | 3 | "The Fae Grove had swallowed" | | 4 | "Aurora’s breath clouded in front" | | 5 | "The Heartstone Pendant against her" | | 6 | "She touched it through her" | | 7 | "Nyx’s voice arrived on a" | | 8 | "The clearing stretched farther than" | | 9 | "Aurora’s stomach flipped at the" | | 10 | "That was Hel’s sky." | | 11 | "She had seen it once" | | 12 | "She forced her gaze downward." | | 13 | "The flowers were wrong in" | | 14 | "Petals shaped like tiny cupped" | | 15 | "Isolde said behind her, voice" | | 16 | "Aurora pulled her hand back." | | 17 | "The scar on her left" | | 18 | "The trees grew taller, impossibly" | | 19 | "Vines heavy with fruit the" |
| | ratio | 0.852 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 122 | | matches | (empty) | | ratio | 0 | |
| 74.36% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 73 | | technicalSentenceCount | 7 | | matches | | 0 | "Isolde Varga came last, silver hair drifting as though underwater, leaving no prints in the dew-heavy grass." | | 1 | "Petals shaped like tiny cupped hands opened and closed in slow rhythm, releasing puffs of golden pollen that hung suspended, never quite falling." | | 2 | "When she brushed past a cluster of them, the pollen clung to her sleeve and sang—high, crystalline notes that made her teeth ache with sudden sweetness." | | 3 | "When one brushed her cheek, she caught a flash of memory that was not hers: a chef in Dymas weeping with joy as he perfected a sauce that made gods forget their…" | | 4 | "The moonsilver sang as it cleared the sheath, a pure note that shattered several of the hovering recipe-trails into sparks." | | 5 | "Vines lashed out, catching at Aurora’s jacket, tearing strips of fabric and skin beneath." | | 6 | "Isolde knelt on her other side, silver hair full of leaves and petals that were already turning to dust." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 3 | | matches | | 0 | "Isolde said, voice layered like three women speaking at once" | | 1 | "Nyx whispered, the word sounding almost wistful" | | 2 | "she said, voice raw but steady" |
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| 13.64% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 3 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "Nyx whispered (whisper)" | | 2 | "Isolde murmured (murmur)" |
| | dialogueSentences | 22 | | tagDensity | 0.273 | | leniency | 0.545 | | rawRatio | 0.5 | | effectiveRatio | 0.273 | |