| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 2 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 74.23% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 582 | | totalAiIsmAdverbs | 3 | | 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) | |
| 39.86% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 582 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "warmth" | | 1 | "pulse" | | 2 | "trembled" | | 3 | "whisper" | | 4 | "echoing" | | 5 | "silence" |
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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 | 71 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 71 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 71 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 13 | | totalWords | 571 | | ratio | 0.023 | | matches | | 0 | "It will keep you safe. Find the Grove. Find Malphora." | | 1 | "You are late." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 88.27% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 567 | | uniqueNames | 9 | | maxNameDensity | 1.23 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Aurora | 1 | | Carter | 1 | | Fae | 1 | | Grove | 2 | | Heartstone | 2 | | Pendant | 1 | | Malphora | 2 | | December | 1 | | Rory | 7 |
| | persons | | 0 | "Aurora" | | 1 | "Carter" | | 2 | "Heartstone" | | 3 | "Pendant" | | 4 | "Rory" |
| | places | | 0 | "Fae" | | 1 | "Grove" | | 2 | "December" |
| | globalScore | 0.883 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 32 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like a tiny moon" | | 1 | "looked like a mouth" |
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| 24.87% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.751 | | wordCount | 571 | | matches | | 0 | "not exactly, but the warmth had been siphoned clean" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 71 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 21.96 | | std | 24.62 | | cv | 1.121 | | sampleLengths | | 0 | 67 | | 1 | 90 | | 2 | 9 | | 3 | 3 | | 4 | 74 | | 5 | 4 | | 6 | 12 | | 7 | 36 | | 8 | 3 | | 9 | 41 | | 10 | 2 | | 11 | 41 | | 12 | 3 | | 13 | 37 | | 14 | 4 | | 15 | 42 | | 16 | 3 | | 17 | 2 | | 18 | 37 | | 19 | 3 | | 20 | 9 | | 21 | 1 | | 22 | 3 | | 23 | 15 | | 24 | 14 | | 25 | 16 |
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| 95.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 71 | | matches | | 0 | "been siphoned" | | 1 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 104 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 12 | | totalSentences | 71 | | ratio | 0.169 | | matches | | 0 | "The air changed instantly—like crossing from a dreamless sleep into one already thick with omens." | | 1 | "The bark was unnaturally smooth, almost glassy under her fingertips, and humming faintly—so low she felt it more in the bones of her skull than heard it." | | 2 | "The grove unfolded around her: wildflowers blooming in impossible clusters—bluebells in December, fireweed, something with silver petals that trembled even in the absence of wind." | | 3 | "Above, the tree canopy bent the moonlight into strange angles, casting her shadow long and narrow—and then, briefly, not hers at all." | | 4 | "The standing stones stood farther apart now, rearranged, and the one she’d touched earlier—its surface was slick with a black, tar-like sap that hadn’t been there before." | | 5 | "Rory’s fingers brushed the scar on her left wrist—the crescent-shaped one from when she’d fallen into the quarry behind her childhood home." | | 6 | "To her right, between a thicket of foxgloves, a shape shifted—no, not a shape." | | 7 | "A rabbit darted between trees—normal, small, ears twitching." | | 8 | "The way it moved—too fluid, too silent." | | 9 | "A whisper—not words, not quite." | | 10 | "It had texture—granular, like dead skin." | | 11 | "But wrong—pitched a half-step too high, like a record played slightly too fast." |
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| 76.37% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 582 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 39 | | adverbRatio | 0.06701030927835051 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.013745704467353952 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 71 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 71 | | mean | 8.04 | | std | 7.4 | | cv | 0.92 | | sampleLengths | | 0 | 26 | | 1 | 15 | | 2 | 12 | | 3 | 14 | | 4 | 10 | | 5 | 27 | | 6 | 14 | | 7 | 3 | | 8 | 31 | | 9 | 3 | | 10 | 2 | | 11 | 1 | | 12 | 8 | | 13 | 3 | | 14 | 25 | | 15 | 13 | | 16 | 22 | | 17 | 14 | | 18 | 2 | | 19 | 2 | | 20 | 5 | | 21 | 4 | | 22 | 2 | | 23 | 1 | | 24 | 3 | | 25 | 6 | | 26 | 27 | | 27 | 3 | | 28 | 22 | | 29 | 10 | | 30 | 9 | | 31 | 2 | | 32 | 14 | | 33 | 2 | | 34 | 5 | | 35 | 5 | | 36 | 15 | | 37 | 3 | | 38 | 1 | | 39 | 8 | | 40 | 17 | | 41 | 7 | | 42 | 4 | | 43 | 4 | | 44 | 5 | | 45 | 7 | | 46 | 11 | | 47 | 15 | | 48 | 4 | | 49 | 3 |
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| 57.75% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.4225352112676056 | | totalSentences | 71 | | uniqueOpeners | 30 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 53 | | matches | | 0 | "Just that shimmering air, and" | | 1 | "Then she heard it." | | 2 | "Just syllables strung together like" | | 3 | "Then a voice, clear as" | | 4 | "Then a giggle." |
| | ratio | 0.094 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 53 | | matches | | 0 | "It wasn’t cold, not exactly," | | 1 | "Her breath came in white" | | 2 | "She didn’t know who had" | | 3 | "Her other name, the one" | | 4 | "She stepped forward." | | 5 | "She glanced around." | | 6 | "Her mother had said it" | | 7 | "She turned slowly." | | 8 | "It didn’t leave footprints." | | 9 | "It seemed to come from" | | 10 | "*You are late.*" | | 11 | "It wasn’t soft." | | 12 | "It had texture—granular, like dead" | | 13 | "Her voice sounded small." | | 14 | "It came from behind a" |
| | ratio | 0.283 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 38 | | totalSentences | 53 | | matches | | 0 | "The moon was a thin," | | 1 | "The air changed instantly—like crossing" | | 2 | "It wasn’t cold, not exactly," | | 3 | "Her breath came in white" | | 4 | "Rory paused, one hand pressed" | | 5 | "The bark was unnaturally smooth," | | 6 | "The pendant at her neck" | | 7 | "The Heartstone Pendant." | | 8 | "She didn’t know who had" | | 9 | "Her other name, the one" | | 10 | "She stepped forward." | | 11 | "The grove unfolded around her:" | | 12 | "The earth was soft beneath" | | 13 | "The sound didn’t carry." | | 14 | "She glanced around." | | 15 | "The path behind her was" | | 16 | "The standing stones stood farther" | | 17 | "The pendant warmed." | | 18 | "Rory’s fingers brushed the scar" | | 19 | "Her mother had said it" |
| | ratio | 0.717 | |
| 94.34% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 53 | | matches | | 0 | "To her right, between a" |
| | ratio | 0.019 | |
| 49.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 3 | | matches | | 0 | "The grove unfolded around her: wildflowers blooming in impossible clusters—bluebells in December, fireweed, something with silver petals that trembled even in t…" | | 1 | "The earth was soft beneath her boots, giving slightly, like walking on skin." | | 2 | "The standing stones stood farther apart now, rearranged, and the one she’d touched earlier—its surface was slick with a black, tar-like sap that hadn’t been the…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 2 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0.5 | | effectiveRatio | 0.5 | |