| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 11 | | tagDensity | 0.636 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.25% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1291 | | 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) | |
| 14.79% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1291 | | totalAiIsms | 22 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | word | "down her spine" | | count | 1 |
| | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | |
| | highlights | | 0 | "pulse" | | 1 | "flickered" | | 2 | "echo" | | 3 | "silence" | | 4 | "weight" | | 5 | "familiar" | | 6 | "rhythmic" | | 7 | "echoed" | | 8 | "down her spine" | | 9 | "throbbed" | | 10 | "echoing" | | 11 | "tracing" | | 12 | "marble" | | 13 | "sanctuary" | | 14 | "pulsed" | | 15 | "vibrated" | | 16 | "stark" |
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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 | 0 | | narrationSentences | 106 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 106 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 110 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 4 | | totalWords | 1287 | | ratio | 0.003 | | matches | | 0 | "Rory." | | 1 | "Look up, Laila." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 97.07% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 1228 | | uniqueNames | 13 | | maxNameDensity | 1.06 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Fae | 2 | | Grove | 3 | | Aurora | 13 | | Heartstone | 3 | | Pendant | 2 | | London | 2 | | Welsh | 1 | | Evan | 1 | | Rule | 1 | | Fae-touched | 1 | | Isolde | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Pendant" | | 2 | "Evan" | | 3 | "Isolde" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Fae" | | 3 | "Grove" | | 4 | "London" |
| | globalScore | 0.971 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 78 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1287 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 110 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 23.83 | | std | 16.56 | | cv | 0.695 | | sampleLengths | | 0 | 37 | | 1 | 59 | | 2 | 16 | | 3 | 15 | | 4 | 44 | | 5 | 14 | | 6 | 24 | | 7 | 17 | | 8 | 18 | | 9 | 7 | | 10 | 37 | | 11 | 26 | | 12 | 39 | | 13 | 27 | | 14 | 6 | | 15 | 63 | | 16 | 30 | | 17 | 6 | | 18 | 44 | | 19 | 10 | | 20 | 9 | | 21 | 11 | | 22 | 5 | | 23 | 38 | | 24 | 12 | | 25 | 66 | | 26 | 21 | | 27 | 12 | | 28 | 1 | | 29 | 52 | | 30 | 27 | | 31 | 3 | | 32 | 14 | | 33 | 18 | | 34 | 40 | | 35 | 34 | | 36 | 17 | | 37 | 2 | | 38 | 52 | | 39 | 33 | | 40 | 12 | | 41 | 51 | | 42 | 12 | | 43 | 24 | | 44 | 5 | | 45 | 17 | | 46 | 30 | | 47 | 2 | | 48 | 19 | | 49 | 37 |
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| 98.64% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 106 | | matches | | 0 | "was gone" | | 1 | "was supposed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 199 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 3 | | flaggedSentences | 7 | | totalSentences | 110 | | ratio | 0.064 | | matches | | 0 | "Cardiff nights were loud with sea breeze and gulls; London hummed with distant sirens and drunken laughter from the strip below her flat." | | 1 | "A sharp pull yanked at her gut—the familiar, nauseating shift in temporal gravity." | | 2 | "The wet clicking sounded again—this time, directly behind her ear." | | 3 | "The crimson stone around her neck didn't just pulse now; it throbbed, casting a deep, rhythmic red glare over her hands." | | 4 | "It carried the slick, manipulative cadence of Evan’s voice, dragging up memories she’d spent three years running from—the bruised wrists, the locked doors, the quiet terror of waiting for a handle to turn." | | 5 | "It didn't walk; it stretched." | | 6 | "Where the shadow touched the flowers, they didn't just wither—they turned to gray ash, collapsing in silence." |
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| 82.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1238 | | adjectiveStacks | 3 | | stackExamples | | 0 | "sickly, sour blue light." | | 1 | "deep, rhythmic red glare" | | 2 | "same wet, frantic clicking." |
| | adverbCount | 32 | | adverbRatio | 0.025848142164781908 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.01050080775444265 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 110 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 110 | | mean | 11.7 | | std | 7.06 | | cv | 0.603 | | sampleLengths | | 0 | 17 | | 1 | 20 | | 2 | 15 | | 3 | 18 | | 4 | 26 | | 5 | 16 | | 6 | 8 | | 7 | 2 | | 8 | 5 | | 9 | 2 | | 10 | 6 | | 11 | 23 | | 12 | 5 | | 13 | 8 | | 14 | 14 | | 15 | 13 | | 16 | 11 | | 17 | 4 | | 18 | 13 | | 19 | 11 | | 20 | 7 | | 21 | 7 | | 22 | 5 | | 23 | 11 | | 24 | 2 | | 25 | 19 | | 26 | 5 | | 27 | 18 | | 28 | 2 | | 29 | 1 | | 30 | 12 | | 31 | 14 | | 32 | 13 | | 33 | 4 | | 34 | 8 | | 35 | 11 | | 36 | 4 | | 37 | 6 | | 38 | 12 | | 39 | 11 | | 40 | 17 | | 41 | 23 | | 42 | 12 | | 43 | 4 | | 44 | 14 | | 45 | 6 | | 46 | 20 | | 47 | 4 | | 48 | 1 | | 49 | 19 |
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| 51.52% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.36363636363636365 | | totalSentences | 110 | | uniqueOpeners | 40 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 96 | | matches | | 0 | "Pale blue wildflowers choked the" | | 1 | "Only the clearing, bath in" | | 2 | "Only a mountain of shed" | | 3 | "Directly above the altar, dangling" |
| | ratio | 0.042 | |
| 86.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 96 | | matches | | 0 | "She pulled her coat tighter," | | 1 | "It had flickered to life" | | 2 | "she muttered, adjusting the heavy" | | 3 | "Her voice vanished, swallowed whole" | | 4 | "She squeezed her eyes shut," | | 5 | "It pressed against her eardrums" | | 6 | "She stepped through the ring" | | 7 | "She checked her wrist." | | 8 | "Her watch’s second hand twitched" | | 9 | "she said, her Welsh accent" | | 10 | "She reached into her pocket," | | 11 | "It wasn't a voice, nor" | | 12 | "It was a rhythmic, wet" | | 13 | "It echoed from above." | | 14 | "It vanished before her eyes" | | 15 | "Her breath hitched, blooming in" | | 16 | "She backed toward the standing" | | 17 | "Her heel caught on an" | | 18 | "she whispered, her cool composure" | | 19 | "She pressed her ear to" |
| | ratio | 0.333 | |
| 79.79% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 96 | | matches | | 0 | "Midnight hung heavy over Richmond" | | 1 | "She pulled her coat tighter," | | 2 | "The silver chain felt iced," | | 3 | "It had flickered to life" | | 4 | "she muttered, adjusting the heavy" | | 5 | "Her voice vanished, swallowed whole" | | 6 | "She squeezed her eyes shut," | | 7 | "Cardiff nights were loud with" | | 8 | "Here, the silence had weight." | | 9 | "It pressed against her eardrums" | | 10 | "She stepped through the ring" | | 11 | "A sharp pull yanked at" | | 12 | "She checked her wrist." | | 13 | "Her watch’s second hand twitched" | | 14 | "Aurora called out, taking three" | | 15 | "A sharp twig snapped to" | | 16 | "Aurora whipped her head around." | | 17 | "The pendant scorched her collarbone." | | 18 | "Aurora gasped, clutching the gem" | | 19 | "she said, her Welsh accent" |
| | ratio | 0.76 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 96 | | matches | | 0 | "Yet, the blue blossoms near" | | 1 | "To her right, a shadow" |
| | ratio | 0.021 | |
| 40.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 56 | | technicalSentenceCount | 8 | | matches | | 0 | "Pale blue wildflowers choked the dirt track, glowing with an unnatural, sour brilliance that hurt the back of Aurora’s eyes." | | 1 | "She stepped through the ring of oak standing stones that marked the Grove’s threshold." | | 2 | "Yet, the blue blossoms near her boots flattened, pressed down by an invisible weight that meandered through the thicket." | | 3 | "Behind the wood, she heard a sound that sent a cold spike down her spine: the soft, frantic pitter-patter of rain on a flat roof, mixed with the distant hum of …" | | 4 | "It carried the slick, manipulative cadence of Evan’s voice, dragging up memories she’d spent three years running from—the bruised wrists, the locked doors, the …" | | 5 | "A low, vibrating hum rose from the soil, vibrating through her soles, up her calves, rattling her teeth." | | 6 | "The air grew thick as syrup, pulling at her limbs, forcing every stride to feel as though she were running underwater." | | 7 | "The skin split from ear to ear, revealing rows of translucent, needle-like teeth that vibrated with that same wet, frantic clicking." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 2 | | matches | | 0 | "she said, her Welsh accent sharpening on the consonants" | | 1 | "she whispered, her cool composure cracking at the margins" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 4 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "Aurora called out (call out)" | | 2 | "she whispered (whisper)" | | 3 | "she hissed (hiss)" |
| | dialogueSentences | 11 | | tagDensity | 0.455 | | leniency | 0.909 | | rawRatio | 0.8 | | effectiveRatio | 0.727 | |