| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 1 | | adverbTags | | 0 | "She turned back [back]" |
| | dialogueSentences | 27 | | tagDensity | 0.593 | | leniency | 1 | | rawRatio | 0.063 | | effectiveRatio | 0.063 | |
| 91.15% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1130 | | 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) | |
| 42.48% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1130 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "shimmered" | | 1 | "charged" | | 2 | "warmth" | | 3 | "silence" | | 4 | "pulsed" | | 5 | "silk" | | 6 | "weight" | | 7 | "flicked" | | 8 | "pulse" | | 9 | "could feel" |
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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 | 1 | | narrationSentences | 75 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 75 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 86 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 22 | | totalWords | 1123 | | ratio | 0.02 | | matches | | 0 | "Third oak from the gate. Count the rings on the fallen branch. Walk nine paces north. The air will taste different." | | 1 | "moved" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 839 | | uniqueNames | 7 | | maxNameDensity | 1.55 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Isolde" | | discoveredNames | | Park | 1 | | Nyx | 9 | | London | 1 | | Aurora | 13 | | Heartstone | 2 | | Hel | 1 | | Isolde | 6 |
| | persons | | | places | | 0 | "Park" | | 1 | "London" | | 2 | "Heartstone" |
| | globalScore | 0.725 | | windowScore | 0.667 | |
| 63.79% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 2 | | matches | | 0 | "seemed woven from spider silk and morning mist, and she cast no shadow despite the amber light pouring down" | | 1 | "sounded like wind chimes breaking" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.89 | | wordCount | 1123 | | matches | | 0 | "not slow exactly, but layered, like walking through a song being played in multipl" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 86 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 33.03 | | std | 25.07 | | cv | 0.759 | | sampleLengths | | 0 | 66 | | 1 | 33 | | 2 | 47 | | 3 | 38 | | 4 | 4 | | 5 | 18 | | 6 | 44 | | 7 | 6 | | 8 | 3 | | 9 | 81 | | 10 | 16 | | 11 | 69 | | 12 | 10 | | 13 | 69 | | 14 | 38 | | 15 | 2 | | 16 | 51 | | 17 | 29 | | 18 | 57 | | 19 | 9 | | 20 | 4 | | 21 | 58 | | 22 | 1 | | 23 | 65 | | 24 | 9 | | 25 | 63 | | 26 | 21 | | 27 | 67 | | 28 | 8 | | 29 | 58 | | 30 | 40 | | 31 | 26 | | 32 | 4 | | 33 | 9 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 75 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 150 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 86 | | ratio | 0.081 | | matches | | 0 | "The air changed on the seventh step—a metallic sweetness coated her tongue, like ozone before a storm." | | 1 | "Not a visible shimmer—more like a pressure change behind her eyes, a sense that the air itself had become thicker, more charged." | | 2 | "The distant traffic, the wind through leaves, the calls of startled birds—all of it vanished into a heavy, watchful silence." | | 3 | "Nyx inhaled—a rustling sound, like curtains stirring in an empty room." | | 4 | "Wildflowers carpeted the ground in impossible profusion—bluebells that should have finished blooming months ago, foxglove standing tall and untouched by frost, tiny white stars of flowers Aurora couldn't name." | | 5 | "Time felt wrong here—not slow exactly, but layered, like walking through a song being played in multiple keys at once." | | 6 | "Aurora's Heartstone pendant pulsed with warmth against her chest—a steady, beating heat that had nothing to do with Hel portals." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 850 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.02235294117647059 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0035294117647058825 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 86 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 86 | | mean | 13.06 | | std | 8.31 | | cv | 0.636 | | sampleLengths | | 0 | 18 | | 1 | 21 | | 2 | 11 | | 3 | 7 | | 4 | 4 | | 5 | 5 | | 6 | 11 | | 7 | 22 | | 8 | 8 | | 9 | 14 | | 10 | 16 | | 11 | 2 | | 12 | 7 | | 13 | 12 | | 14 | 17 | | 15 | 9 | | 16 | 4 | | 17 | 6 | | 18 | 12 | | 19 | 7 | | 20 | 22 | | 21 | 15 | | 22 | 6 | | 23 | 3 | | 24 | 7 | | 25 | 20 | | 26 | 18 | | 27 | 20 | | 28 | 16 | | 29 | 11 | | 30 | 5 | | 31 | 5 | | 32 | 27 | | 33 | 29 | | 34 | 8 | | 35 | 10 | | 36 | 13 | | 37 | 20 | | 38 | 16 | | 39 | 17 | | 40 | 2 | | 41 | 1 | | 42 | 15 | | 43 | 7 | | 44 | 16 | | 45 | 2 | | 46 | 29 | | 47 | 22 | | 48 | 20 | | 49 | 4 |
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| 78.68% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.5 | | totalSentences | 86 | | uniqueOpeners | 43 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 67 | | matches | | 0 | "she muttered, counting the massive" | | 1 | "she said, and pushed" | | 2 | "They bent in a breeze" | | 3 | "she breathed, but she kept" | | 4 | "It recognized something here." | | 5 | "She moved toward the center" | | 6 | "Her eyes were pale lavender," | | 7 | "She wore a dress that" | | 8 | "She walked forward, her bare" | | 9 | "Her lavender eyes flicked to" | | 10 | "She turned back to Aurora," | | 11 | "She gestured, a flick of" |
| | ratio | 0.179 | |
| 42.09% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 67 | | matches | | 0 | "Richmond Park sprawled under a" | | 1 | "Aurora pushed a strand of" | | 2 | "Eva's handwriting looped across the" | | 3 | "The air will taste different.*" | | 4 | "she muttered, counting the massive" | | 5 | "Nyx drifted beside her, their" | | 6 | "Nyx whispered, their voice like" | | 7 | "The oak stood gnarled and" | | 8 | "A fallen branch lay at" | | 9 | "The oak had fallen seven" | | 10 | "Aurora counted them twice, then" | | 11 | "The air changed on the" | | 12 | "The temperature dropped five degrees" | | 13 | "Nyx solidified slightly, their silhouette" | | 14 | "The space between two ordinary-looking" | | 15 | "Aurora reached out and her" | | 16 | "she said, and pushed" | | 17 | "The world folded." | | 18 | "The distant traffic, the wind" | | 19 | "Aurora's boots sank into grass" |
| | ratio | 0.836 | |
| 74.63% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 67 | | matches | | 0 | "Even Nyx seemed to grow" |
| | ratio | 0.015 | |
| 79.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 3 | | matches | | 0 | "Wildflowers carpeted the ground in impossible profusion—bluebells that should have finished blooming months ago, foxglove standing tall and untouched by frost, …" | | 1 | "Aurora's Heartstone pendant pulsed with warmth against her chest—a steady, beating heat that had nothing to do with Hel portals." | | 2 | "The light overhead dimmed, then brightened, then settled into a steady gold pulse that matched Aurora's heartbeat." |
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| 31.25% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 3 | | matches | | 0 | "Nyx's form rippled, their voice dropping to something almost reverent" | | 1 | "She walked, her bare feet leaving no impression on the silver grass" | | 2 | "She turned back, her gaze dropping to the Heartstone pendant" |
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| 38.89% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 3 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "Nyx whispered (whisper)" | | 2 | "she breathed (breathe)" |
| | dialogueSentences | 27 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.333 | | effectiveRatio | 0.222 | |