| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 1 | | adverbTags | | 0 | "Her voice sounded too [too]" |
| | dialogueSentences | 5 | | tagDensity | 0.6 | | leniency | 1 | | rawRatio | 0.333 | | effectiveRatio | 0.333 | |
| 91.96% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1244 | | 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) | |
| 11.58% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1244 | | totalAiIsms | 22 | | found | | | highlights | | 0 | "warmth" | | 1 | "silence" | | 2 | "weight" | | 3 | "pulsed" | | 4 | "throb" | | 5 | "loomed" | | 6 | "shimmered" | | 7 | "pulse" | | 8 | "echoed" | | 9 | "echo" | | 10 | "tracing" | | 11 | "quickened" | | 12 | "comforting" | | 13 | "perfect" | | 14 | "searing" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 187 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 187 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 189 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 19 | | markdownWords | 57 | | totalWords | 1221 | | ratio | 0.047 | | matches | | 0 | "If it hums for more than a breath, don’t ignore it. Not with the Hel gates twitching like they’ve been." | | 1 | "wrong" | | 2 | "Time moves differently here" | | 3 | "You’ve read the lore. You know the rules." | | 4 | "arrived" | | 5 | "unfolding" | | 6 | "Twitched." | | 7 | "under" | | 8 | "answering" | | 9 | "withdrew" | | 10 | "presence." | | 11 | "You left your name behind, little thief. But we remember." | | 12 | "Crawling" | | 13 | "felt" | | 14 | "Laila." | | 15 | "mind." | | 16 | "warning" | | 17 | "laughed." | | 18 | "welcomed." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 1200 | | uniqueNames | 10 | | maxNameDensity | 0.67 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Like" | | discoveredNames | | Fae | 1 | | Grove | 1 | | Heartstone | 3 | | Richmond | 1 | | Park | 1 | | Hel | 2 | | Aurora | 8 | | November | 1 | | Rory | 1 | | Like | 3 |
| | persons | | 0 | "Heartstone" | | 1 | "Hel" | | 2 | "Aurora" | | 3 | "Rory" | | 4 | "Like" |
| | places | | 0 | "Fae" | | 1 | "Grove" | | 2 | "Richmond" | | 3 | "Park" | | 4 | "November" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 80 | | glossingSentenceCount | 1 | | matches | | 0 | "It was as if the earth had unzipped" |
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| 36.20% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.638 | | wordCount | 1221 | | matches | | 0 | "not brightly, but enough for her to see the veins of light threading through t" | | 1 | "not from any direction, but from everywhere, as if the air itself had spoken" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 189 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 77 | | mean | 15.86 | | std | 20.53 | | cv | 1.295 | | sampleLengths | | 0 | 79 | | 1 | 102 | | 2 | 70 | | 3 | 4 | | 4 | 64 | | 5 | 3 | | 6 | 45 | | 7 | 5 | | 8 | 36 | | 9 | 6 | | 10 | 2 | | 11 | 43 | | 12 | 19 | | 13 | 7 | | 14 | 42 | | 15 | 63 | | 16 | 1 | | 17 | 9 | | 18 | 3 | | 19 | 21 | | 20 | 12 | | 21 | 7 | | 22 | 6 | | 23 | 2 | | 24 | 43 | | 25 | 3 | | 26 | 3 | | 27 | 41 | | 28 | 19 | | 29 | 5 | | 30 | 25 | | 31 | 9 | | 32 | 48 | | 33 | 4 | | 34 | 4 | | 35 | 2 | | 36 | 25 | | 37 | 5 | | 38 | 1 | | 39 | 3 | | 40 | 10 | | 41 | 27 | | 42 | 4 | | 43 | 6 | | 44 | 37 | | 45 | 2 | | 46 | 2 | | 47 | 1 | | 48 | 7 | | 49 | 32 |
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| 95.88% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 187 | | matches | | 0 | "been unearthed" | | 1 | "was gone" | | 2 | "was gone" | | 3 | "been followed" | | 4 | "been *welcomed" |
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| 45.68% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 216 | | matches | | 0 | "was being" | | 1 | "was *answering" | | 2 | "wasn’t guiding" | | 3 | "was *warning" | | 4 | "was starting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 24 | | semicolonCount | 0 | | flaggedSentences | 19 | | totalSentences | 189 | | ratio | 0.101 | | matches | | 0 | "There was no trail, no footprints in the damp moss, no sign of passage at all—only the faintest parting in the trees, like the forest had exhaled and allowed a narrow gap to form." | | 1 | "It had pulsed three times as she’d cycled through Richmond Park—an erratic throb, like a slow heartbeat waking." | | 2 | "She’d just nodded, locked up the moped, and followed the sensation in her chest—the tug beneath the ribs, the quiet insistence that something was cracked open, and bleeding through." | | 3 | "Not carved, not placed—grown that way, the locals said." | | 4 | "Not dramatically—nothing screamed *wrong* at first." | | 5 | "It glowed now—not brightly, but enough for her to see the veins of light threading through the stone." | | 6 | "And yet, when she turned—slow, careful—there was nothing." | | 7 | "Sometimes, in dreams, she remembered it differently—a bite." | | 8 | "She’d dealt with rifts before—small ones, flickering like faulty streetlights." | | 9 | "Then—movement." | | 10 | "And then—sound." | | 11 | "She caught a glimpse of it—something in the corner of her eye." | | 12 | "But when she looked—really looked—it was gone." | | 13 | "The earth there darkened, then cracked—a hairline fracture, then wider, until the ground yawned open in a perfect circle." | | 14 | "It rolled over her like a wave—cold, ancient, hungry in a way that had nothing to do with food." | | 15 | "But this—" | | 16 | "Its face—if it had one—was smooth, featureless, but she *felt* it looking at her." | | 17 | "The figure raised a limb—too long, too jointed—and pointed." | | 18 | "And something deep inside her—some buried, sleeping thing—was starting to wake." |
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| 92.82% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1224 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 59 | | adverbRatio | 0.04820261437908497 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.00980392156862745 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 189 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 189 | | mean | 6.46 | | std | 5.38 | | cv | 0.832 | | sampleLengths | | 0 | 8 | | 1 | 34 | | 2 | 21 | | 3 | 16 | | 4 | 20 | | 5 | 18 | | 6 | 5 | | 7 | 15 | | 8 | 15 | | 9 | 29 | | 10 | 5 | | 11 | 18 | | 12 | 9 | | 13 | 13 | | 14 | 16 | | 15 | 9 | | 16 | 4 | | 17 | 6 | | 18 | 8 | | 19 | 2 | | 20 | 21 | | 21 | 7 | | 22 | 5 | | 23 | 7 | | 24 | 4 | | 25 | 4 | | 26 | 3 | | 27 | 4 | | 28 | 12 | | 29 | 4 | | 30 | 9 | | 31 | 2 | | 32 | 7 | | 33 | 6 | | 34 | 1 | | 35 | 5 | | 36 | 8 | | 37 | 18 | | 38 | 2 | | 39 | 1 | | 40 | 2 | | 41 | 5 | | 42 | 6 | | 43 | 2 | | 44 | 5 | | 45 | 2 | | 46 | 18 | | 47 | 8 | | 48 | 10 | | 49 | 13 |
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| 36.77% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 25 | | diversityRatio | 0.2962962962962963 | | totalSentences | 189 | | uniqueOpeners | 56 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 142 | | matches | | 0 | "Just that quiet, patient wrongness." | | 1 | "Sometimes, in dreams, she remembered" | | 2 | "Maybe beneath the roots." | | 3 | "Maybe hidden behind one of" | | 4 | "Just beyond the edge of" |
| | ratio | 0.035 | |
| 98.87% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 142 | | matches | | 0 | "Her boots sank slightly into" | | 1 | "She tugged at the strap" | | 2 | "It had pulsed three times" | | 3 | "She’d just nodded, locked up" | | 4 | "Their roots twisted upward, gnarled" | | 5 | "They swayed, though there was" | | 6 | "Her pulse skipped, then steadied." | | 7 | "*You’ve read the lore." | | 8 | "You know the rules.*" | | 9 | "It wasn’t natural silence." | | 10 | "She pulled out the pendant." | | 11 | "It glowed now—not brightly, but" | | 12 | "It warmed against her palm." | | 13 | "It had simply *arrived*, not" | | 14 | "Her voice sounded too sharp," | | 15 | "It didn’t echo." | | 16 | "Her hand drifted to her" | | 17 | "She moved deeper into the" | | 18 | "She’d dealt with rifts before—small" | | 19 | "she said, softer this time" |
| | ratio | 0.303 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 91 | | totalSentences | 142 | | matches | | 0 | "The path into the Fae" | | 1 | "Aurora stood at that threshold," | | 2 | "Her boots sank slightly into" | | 3 | "She tugged at the strap" | | 4 | "It had pulsed three times" | | 5 | "That was why she’d come." | | 6 | "Yu-Fei had been clear: *If" | | 7 | "She’d just nodded, locked up" | | 8 | "The standing stones loomed ahead." | | 9 | "Their roots twisted upward, gnarled" | | 10 | "Aurora stepped through, her boot" | | 11 | "The grass was too green," | | 12 | "Flowers poked up between tufts:" | | 13 | "They swayed, though there was" | | 14 | "Her pulse skipped, then steadied." | | 15 | "*You’ve read the lore." | | 16 | "You know the rules.*" | | 17 | "It wasn’t natural silence." | | 18 | "This was an absence." | | 19 | "The kind that pressed against" |
| | ratio | 0.641 | |
| 35.21% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 142 | | matches | | | ratio | 0.007 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 2 | | matches | | 0 | "Flowers poked up between tufts: white stars of starflower, violet foxgloves with throats like whispers, blossoms that shouldn’t bloom in November." | | 1 | "It rolled over her like a wave—cold, ancient, hungry in a way that had nothing to do with food." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 1 | | matches | | 0 | "it whispered, its voice the sound of dry leaves skittering over stone" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "it whispered (whisper)" |
| | dialogueSentences | 5 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.5 | | effectiveRatio | 0.4 | |