| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 92.89% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1407 | | 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) | |
| 68.02% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1407 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "warmth" | | 1 | "weight" | | 2 | "whisper" | | 3 | "pulse" | | 4 | "could feel" | | 5 | "stomach" | | 6 | "reminder" | | 7 | "glistening" |
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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 | 87 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 87 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 87 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1405 | | ratio | 0 | | matches | (empty) | |
| 31.25% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 3 | | matches | | 0 | "It senses the rift, they said, their voice lower than before." | | 1 | "This is the Veil, Isolde said, her voice soft." | | 2 | "The rift is narrow, they said, their voice tight." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 53 | | wordCount | 1405 | | uniqueNames | 15 | | maxNameDensity | 0.93 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 13 | | Golden | 1 | | Empress | 1 | | Fae-forged | 3 | | Nyx | 5 | | Heartstone | 7 | | Citizen | 1 | | Richmond | 1 | | Park | 1 | | Dymas | 3 | | Hel | 3 | | Isolde | 8 | | Hel-touched | 1 | | Veil | 2 | | You | 3 |
| | persons | | 0 | "Rory" | | 1 | "Nyx" | | 2 | "Heartstone" | | 3 | "Hel" | | 4 | "Isolde" | | 5 | "You" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Dymas" | | 3 | "Veil" |
| | globalScore | 1 | | windowScore | 1 | |
| 52.60% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 77 | | glossingSentenceCount | 3 | | matches | | 0 | "smelled like rain and crushed starflower" | | 1 | "quite reach her lavender eyes" | | 2 | "looked like heat haze, but glowing with t" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.712 | | wordCount | 1405 | | matches | | 0 | "not carried by wind but by the hush of the clearing" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 87 | | matches | (empty) | |
| 93.22% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 20 | | mean | 70.25 | | std | 33.46 | | cv | 0.476 | | sampleLengths | | 0 | 55 | | 1 | 129 | | 2 | 30 | | 3 | 138 | | 4 | 112 | | 5 | 49 | | 6 | 67 | | 7 | 28 | | 8 | 59 | | 9 | 55 | | 10 | 103 | | 11 | 54 | | 12 | 56 | | 13 | 97 | | 14 | 79 | | 15 | 58 | | 16 | 102 | | 17 | 32 | | 18 | 86 | | 19 | 16 |
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| 93.16% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 87 | | matches | | 0 | "were knotted" | | 1 | "are given" | | 2 | "was replaced" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 219 | | matches | | 0 | "were nearing" | | 1 | "was glowing" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 87 | | ratio | 0.011 | | matches | | 0 | "No clouds hovered in the pale golden sky, and wildflowers—blue cornflowers, purple clover, blooms she’d never seen, petals shifting like oil on water—carpeted the ground as far as she could see." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1415 | | adjectiveStacks | 2 | | stackExamples | | 0 | "slender, leaf-shaped blade" | | 1 | "against Hel-touched things." |
| | adverbCount | 38 | | adverbRatio | 0.02685512367491166 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.005653710247349823 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 87 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 87 | | mean | 16.15 | | std | 8.72 | | cv | 0.54 | | sampleLengths | | 0 | 23 | | 1 | 26 | | 2 | 6 | | 3 | 22 | | 4 | 23 | | 5 | 16 | | 6 | 19 | | 7 | 18 | | 8 | 31 | | 9 | 17 | | 10 | 13 | | 11 | 23 | | 12 | 39 | | 13 | 15 | | 14 | 20 | | 15 | 18 | | 16 | 23 | | 17 | 18 | | 18 | 8 | | 19 | 13 | | 20 | 11 | | 21 | 29 | | 22 | 22 | | 23 | 11 | | 24 | 6 | | 25 | 11 | | 26 | 6 | | 27 | 11 | | 28 | 15 | | 29 | 23 | | 30 | 13 | | 31 | 5 | | 32 | 15 | | 33 | 11 | | 34 | 13 | | 35 | 6 | | 36 | 5 | | 37 | 4 | | 38 | 13 | | 39 | 17 | | 40 | 1 | | 41 | 23 | | 42 | 5 | | 43 | 16 | | 44 | 6 | | 45 | 20 | | 46 | 13 | | 47 | 12 | | 48 | 10 | | 49 | 30 |
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| 45.40% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.26436781609195403 | | totalSentences | 87 | | uniqueOpeners | 23 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 85 | | matches | (empty) | | ratio | 0 | |
| 74.12% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 85 | | matches | | 0 | "She ducked behind this oak" | | 1 | "She stood blinking, the sharp" | | 2 | "Her boot scuffed soft green" | | 3 | "She looked up, and the" | | 4 | "Their trunks were knotted and" | | 5 | "You hesitated last night when" | | 6 | "She spun, her hand darting" | | 7 | "Their voice was wind through" | | 8 | "They drifted closer until they" | | 9 | "She’d tracked them down after" | | 10 | "She fumbled in her delivery" | | 11 | "Her thrifted Citizen wristwatch had" | | 12 | "She wore a dress stitched" | | 13 | "You tracked the pendant’s signal" | | 14 | "I left the note on" | | 15 | "You’d been carrying the pendant" | | 16 | "She flexed her fingers, trying" | | 17 | "Her voice was sharper than" | | 18 | "She nodded at the Heartstone." | | 19 | "It comes from Dymas." |
| | ratio | 0.365 | |
| 18.82% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 75 | | totalSentences | 85 | | matches | | 0 | "The bramble thorns snagged the" | | 1 | "She ducked behind this oak" | | 2 | "The thicket hadn’t been there" | | 3 | "She stood blinking, the sharp" | | 4 | "Her boot scuffed soft green" | | 5 | "She looked up, and the" | | 6 | "Their trunks were knotted and" | | 7 | "The light filtering through their" | | 8 | "A soft whisper brushed her" | | 9 | "You hesitated last night when" | | 10 | "She spun, her hand darting" | | 11 | "The shadowy figure hovering ten" | | 12 | "Their voice was wind through" | | 13 | "They drifted closer until they" | | 14 | "Rory’s left wrist tingled, the" | | 15 | "She’d tracked them down after" | | 16 | "She fumbled in her delivery" | | 17 | "Her thrifted Citizen wristwatch had" | | 18 | "An hour here is ten" | | 19 | "Isolde stepped from behind a" |
| | ratio | 0.882 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 85 | | matches | (empty) | | ratio | 0 | |
| 58.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 68 | | technicalSentenceCount | 8 | | matches | | 0 | "She stood blinking, the sharp scratch of thorns replaced by the honeyed warmth of air that smelled like rain and crushed starflower." | | 1 | "Her boot scuffed soft green moss that didn’t crunch under her weight, not like the dried park grass she’d walked on minutes before." | | 2 | "The shadowy figure hovering ten paces away was Nyx: a shifting silhouette of darkness that didn’t cast a shadow of their own, their form solidifying just enough…" | | 3 | "Isolde’s lips curved into a smile that didn’t quite reach her lavender eyes." | | 4 | "Nyx drifted ahead, their shadowy form hovering over a shallow pool of still water that glinted in the amber light." | | 5 | "She saw a long dining table heaped with roasted meats, platters of fruit so ripe they oozed juice, goblets filled with amber liquid that sloshed when someone re…" | | 6 | "She jerked back, her knee hitting a patch of glowing clover." | | 7 | "A shimmering wall of distortion stretched across the trees, a faint waver in the air that looked like heat haze, but glowing with the same warm amber light that…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |