| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.125 | | leniency | 0.25 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.67% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1201 | | 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) | |
| 41.72% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1201 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "flickered" | | 1 | "rhythmic" | | 2 | "pulsed" | | 3 | "perfect" | | 4 | "stomach" | | 5 | "lurched" | | 6 | "pulse" | | 7 | "vibrated" | | 8 | "searing" | | 9 | "warmth" | | 10 | "shattered" |
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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 | 152 | | matches | | 0 | "was afraid" | | 1 | "was bitter" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 152 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 159 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 56 | | ratio | 0 | | matches | (empty) | |
| 37.43% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 16 | | markdownWords | 96 | | totalWords | 1181 | | ratio | 0.081 | | matches | | 0 | "\"Rory, I think he found me. I saw something black move past my window. Not a shadow—like a stain parting the dark. You know what they say about Hel portals. They don’t open outward only. They also… leak.\"" | | 1 | "Like it’s counting down." | | 2 | "No." | | 3 | "Aurora Carter." | | 4 | "warped" | | 5 | "The name is given only in exchange." | | 6 | "You carry a piece of Dymas in your hands." | | 7 | "It asks for you." | | 8 | "You came seeking answers." | | 9 | "And she is already here." | | 10 | "You’re late." | | 11 | "He’s already inside." | | 12 | "He came with you in your pocket." | | 13 | "Sap." | | 14 | "smiled" | | 15 | "Aurora… I wasn’t alone when I texted." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 91.34% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 1108 | | uniqueNames | 8 | | maxNameDensity | 1.17 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 1 | | Aurora | 13 | | Eva | 7 | | Heartstone | 1 | | Dymas | 1 | | Cold | 1 | | Thick | 1 | | Like | 4 |
| | persons | | | places | | | globalScore | 0.913 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 74 | | glossingSentenceCount | 1 | | matches | | 0 | "as if embracing the darkness" |
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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 | 1181 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 159 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 63 | | mean | 18.75 | | std | 18.36 | | cv | 0.98 | | sampleLengths | | 0 | 47 | | 1 | 66 | | 2 | 46 | | 3 | 11 | | 4 | 75 | | 5 | 44 | | 6 | 5 | | 7 | 45 | | 8 | 7 | | 9 | 9 | | 10 | 31 | | 11 | 14 | | 12 | 46 | | 13 | 4 | | 14 | 47 | | 15 | 34 | | 16 | 25 | | 17 | 4 | | 18 | 68 | | 19 | 8 | | 20 | 52 | | 21 | 2 | | 22 | 15 | | 23 | 12 | | 24 | 7 | | 25 | 5 | | 26 | 9 | | 27 | 18 | | 28 | 21 | | 29 | 4 | | 30 | 17 | | 31 | 39 | | 32 | 4 | | 33 | 5 | | 34 | 5 | | 35 | 31 | | 36 | 6 | | 37 | 27 | | 38 | 5 | | 39 | 8 | | 40 | 44 | | 41 | 3 | | 42 | 18 | | 43 | 1 | | 44 | 4 | | 45 | 14 | | 46 | 2 | | 47 | 12 | | 48 | 3 | | 49 | 5 |
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| 91.41% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 152 | | matches | | 0 | "was gone" | | 1 | "is given" | | 2 | "been disoriented" | | 3 | "was gone" | | 4 | "was unzipped" | | 5 | "was torn" |
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| 99.50% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 199 | | matches | | 0 | "was rising" | | 1 | "were rearranging" | | 2 | "was coming" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 20 | | semicolonCount | 2 | | flaggedSentences | 18 | | totalSentences | 159 | | ratio | 0.113 | | matches | | 0 | "No fog tonight—just a heavy, breathless stillness that clung to her skin like dew." | | 1 | "It had started glowing again that morning—faint, rhythmic, like a heartbeat behind her ribs." | | 2 | "Aurora reached the outermost stone—a rough, weather-beaten oak monolith flecked with lichen." | | 3 | "Images flashed behind her eyes: a woman with silver hair, kneeling in blood; a man in a suit of thorns dragging a chainsaw across wet grass; and something else, something with too many teeth, writhing between roots." | | 4 | "The pendant burned against her chest—a sharp, sudden flare like someone had lit a match inside her shirt." | | 5 | "The wildflowers around their bases had uncurled, their petals unfurling into grotesque grins—each daisy now had teeth." | | 6 | "But the cold was wrong—too thick, too slow, like breathing through syrup." | | 7 | "Not like a stumble—more like gravity shifted." | | 8 | "Replaced by a twilight forest under a sky streaked with violet and gold—colors that hurt to look at." | | 9 | "Not sound—something lower, like the hum of a power line just out of hearing." | | 10 | "It emerged—not stepped, emerged—from behind a hawthorn bush, its limbs bending at odd angles." | | 11 | "Beneath it, something writhed—an embryo curled in amniotic darkness." | | 12 | "The forest floor was rising around her ankles—thick vines, roots, tendrils of blackened wood knitting themselves into a net at her feet, tightening like a noose." | | 13 | "Now she realized—the stones were rearranging themselves." | | 14 | "It was a woman—no, a girl, maybe—wearing a coat the color of wet ashes." | | 15 | "Her face was beautiful, but wrong—her mouth too wide, her eyes black and endless." | | 16 | "Her shirt beneath was torn—across the chest, in a jagged line where the gem had been." | | 17 | "The pendant—still clutched in her trembling hand—pulsed like a dying star." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1131 | | adjectiveStacks | 1 | | stackExamples | | 0 | "rough, weather-beaten oak" |
| | adverbCount | 43 | | adverbRatio | 0.03801945181255526 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.005305039787798408 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 159 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 159 | | mean | 7.43 | | std | 6.76 | | cv | 0.91 | | sampleLengths | | 0 | 24 | | 1 | 9 | | 2 | 14 | | 3 | 5 | | 4 | 2 | | 5 | 3 | | 6 | 56 | | 7 | 5 | | 8 | 16 | | 9 | 14 | | 10 | 3 | | 11 | 8 | | 12 | 4 | | 13 | 7 | | 14 | 12 | | 15 | 17 | | 16 | 7 | | 17 | 2 | | 18 | 37 | | 19 | 4 | | 20 | 18 | | 21 | 4 | | 22 | 13 | | 23 | 1 | | 24 | 4 | | 25 | 5 | | 26 | 3 | | 27 | 2 | | 28 | 8 | | 29 | 15 | | 30 | 17 | | 31 | 2 | | 32 | 5 | | 33 | 7 | | 34 | 2 | | 35 | 4 | | 36 | 7 | | 37 | 12 | | 38 | 8 | | 39 | 2 | | 40 | 3 | | 41 | 2 | | 42 | 7 | | 43 | 8 | | 44 | 10 | | 45 | 7 | | 46 | 3 | | 47 | 12 | | 48 | 4 | | 49 | 2 |
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| 41.19% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.27672955974842767 | | totalSentences | 159 | | uniqueOpeners | 44 | |
| 78.74% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 127 | | matches | | 0 | "Too many late-night deliveries and" | | 1 | "Then she turned." | | 2 | "Then it *smiled* with Eva’s" |
| | ratio | 0.024 | |
| 56.22% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 52 | | totalSentences | 127 | | matches | | 0 | "She hadn't expected to come." | | 1 | "It had started glowing again" | | 2 | "She'd blamed stress." | | 3 | "It was warm to the" | | 4 | "She pressed her forehead to" | | 5 | "She jerked back, gasping." | | 6 | "She fumbled it out." | | 7 | "She forced her eyes back" | | 8 | "Her breath fogged in front" | | 9 | "Her fingers ached with cold" | | 10 | "Her stomach lurched." | | 11 | "She squeezed her eyes shut" | | 12 | "Its bark was warm." | | 13 | "She opened her eyes." | | 14 | "She pulled out her phone." | | 15 | "She tucked the phone away." | | 16 | "She stepped deeper in." | | 17 | "She unzipped it halfway, then" | | 18 | "It emerged—not stepped, emerged—from behind" | | 19 | "It wore a coat of" |
| | ratio | 0.409 | |
| 89.92% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 94 | | totalSentences | 127 | | matches | | 0 | "The streetlights in Richmond flickered" | | 1 | "The air smelled of wet" | | 2 | "She hadn't expected to come." | | 3 | "Aurora had dropped the phone." | | 4 | "It had started glowing again" | | 5 | "She'd blamed stress." | | 6 | "Aurora reached the outermost stone—a" | | 7 | "It was warm to the" | | 8 | "She pressed her forehead to" | | 9 | "Images flashed behind her eyes:" | | 10 | "She jerked back, gasping." | | 11 | "The pendant burned against her" | | 12 | "She fumbled it out." | | 13 | "The gem pulsed deep crimson," | | 14 | "A twig snapped behind her." | | 15 | "Aurora didn’t turn." | | 16 | "She forced her eyes back" | | 17 | "The standing stones stood in" | | 18 | "The wildflowers around their bases" | | 19 | "The air tasted like iron." |
| | ratio | 0.74 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 127 | | matches | | 0 | "If there was one thing" | | 1 | "*And she is already here.*" | | 2 | "Now she realized—the stones were" |
| | ratio | 0.024 | |
| 69.60% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 4 | | matches | | 0 | "No fog tonight—just a heavy, breathless stillness that clung to her skin like dew." | | 1 | "Its head was small, faceless save for a lipless slit that stretched too wide when it spoke." | | 2 | "The forest floor was rising around her ankles—thick vines, roots, tendrils of blackened wood knitting themselves into a net at her feet, tightening like a noose…" | | 3 | "She stood with her back to Aurora, arms outstretched as if embracing the darkness." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |