| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.27% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1340 | | totalAiIsmAdverbs | 1 | | 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) | |
| 36.57% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1340 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "fractured" | | 1 | "pulse" | | 2 | "rhythmic" | | 3 | "whisper" | | 4 | "shimmered" | | 5 | "weight" | | 6 | "familiar" | | 7 | "tension" | | 8 | "vibrated" | | 9 | "pulsed" | | 10 | "reminder" | | 11 | "echoed" | | 12 | "silk" | | 13 | "comforting" |
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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 | 118 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 118 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 122 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1340 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 99.46% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 1286 | | uniqueNames | 12 | | maxNameDensity | 1.01 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | London | 2 | | Richmond | 1 | | Park | 1 | | Veil | 3 | | Rory | 13 | | November | 1 | | Heartstone | 5 | | Nyx | 5 | | Shade | 2 | | Evan | 1 | | Isolde | 2 | | Fae | 1 |
| | persons | | 0 | "Veil" | | 1 | "Rory" | | 2 | "Heartstone" | | 3 | "Nyx" | | 4 | "Shade" | | 5 | "Evan" | | 6 | "Isolde" |
| | places | | 0 | "London" | | 1 | "Richmond" | | 2 | "Park" |
| | globalScore | 0.995 | | windowScore | 1 | |
| 87.50% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 80 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a memory from another lifetim" | | 1 | "sounded like wind slipping through dry ree" |
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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 | 1340 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 122 | | matches | (empty) | |
| 75.84% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 16 | | mean | 83.75 | | std | 34.79 | | cv | 0.415 | | sampleLengths | | 0 | 83 | | 1 | 107 | | 2 | 85 | | 3 | 68 | | 4 | 109 | | 5 | 128 | | 6 | 94 | | 7 | 70 | | 8 | 163 | | 9 | 96 | | 10 | 47 | | 11 | 64 | | 12 | 95 | | 13 | 25 | | 14 | 21 | | 15 | 85 |
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| 99.32% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 118 | | matches | | 0 | "being remembered" | | 1 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 221 | | matches | | 0 | "was still letting" | | 1 | "was saying" | | 2 | "was already mapping" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 122 | | ratio | 0 | | matches | (empty) | |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1294 | | adjectiveStacks | 2 | | stackExamples | | 0 | "familiar leaf-shaped profile." | | 1 | "old crescent-shaped scar" |
| | adverbCount | 35 | | adverbRatio | 0.02704791344667697 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.0061823802163833074 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 122 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 122 | | mean | 10.98 | | std | 7.31 | | cv | 0.666 | | sampleLengths | | 0 | 7 | | 1 | 22 | | 2 | 11 | | 3 | 13 | | 4 | 5 | | 5 | 25 | | 6 | 18 | | 7 | 28 | | 8 | 9 | | 9 | 20 | | 10 | 14 | | 11 | 3 | | 12 | 1 | | 13 | 14 | | 14 | 6 | | 15 | 26 | | 16 | 11 | | 17 | 3 | | 18 | 14 | | 19 | 7 | | 20 | 5 | | 21 | 13 | | 22 | 9 | | 23 | 15 | | 24 | 23 | | 25 | 8 | | 26 | 8 | | 27 | 5 | | 28 | 10 | | 29 | 4 | | 30 | 1 | | 31 | 17 | | 32 | 3 | | 33 | 2 | | 34 | 17 | | 35 | 9 | | 36 | 12 | | 37 | 30 | | 38 | 2 | | 39 | 2 | | 40 | 14 | | 41 | 11 | | 42 | 13 | | 43 | 11 | | 44 | 11 | | 45 | 7 | | 46 | 6 | | 47 | 9 | | 48 | 25 | | 49 | 4 |
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| 51.64% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.36885245901639346 | | totalSentences | 122 | | uniqueOpeners | 45 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 104 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 104 | | matches | | 0 | "She did not look back." | | 1 | "It pooled in the understory," | | 2 | "Her delivery route through the" | | 3 | "She pressed a palm flat" | | 4 | "It was a wound in" | | 5 | "Their humanoid silhouette condensed from" | | 6 | "It sounded like wind slipping" | | 7 | "It fell, then hung." | | 8 | "Her wrist watch ticked once," | | 9 | "She unclasped it, let it" | | 10 | "She didn’t want to use" | | 11 | "They moved past a cluster" | | 12 | "It wasn’t wind." | | 13 | "It was language stripped of" | | 14 | "She’d spent too many years" | | 15 | "She unfastened her coat, let" | | 16 | "It swung steady, then dipped" | | 17 | "She followed the pull, boots" | | 18 | "She didn’t flinch." | | 19 | "She drew the moonsilver blade." |
| | ratio | 0.231 | |
| 46.54% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 86 | | totalSentences | 104 | | matches | | 0 | "The first step cost her" | | 1 | "Rory crossed the threshold where" | | 2 | "She did not look back." | | 3 | "The canopy above unspooled into" | | 4 | "It pooled in the understory," | | 5 | "Indigo bells chimed when their" | | 6 | "The ground yielded under her" | | 7 | "Her delivery route through the" | | 8 | "This was older." | | 9 | "The Heartstone against her sternum" | | 10 | "The silver chain dug into" | | 11 | "She pressed a palm flat" | | 12 | "The glow bled through her" | | 13 | "This was no overgrown copse." | | 14 | "It was a wound in" | | 15 | "Their humanoid silhouette condensed from" | | 16 | "The Shade’s form drank the" | | 17 | "It sounded like wind slipping" | | 18 | "Rory watched a single leaf" | | 19 | "It fell, then hung." |
| | ratio | 0.827 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 104 | | matches | (empty) | | ratio | 0 | |
| 58.11% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 59 | | technicalSentenceCount | 7 | | matches | | 0 | "Looking back made the Veil remember you, and Rory had spent enough of her life being remembered by things that wanted to pull her under." | | 1 | "The canopy above unspooled into a vault of silver-veined leaves that caught a light with no apparent source." | | 2 | "It pooled in the understory, gold without heat, pouring over ferns that curled like question marks and wildflowers in colors that had no business surviving a Lo…" | | 3 | "The ground yielded under her boots, spongy and warm, as if the earth itself slept with a slow, steady pulse." | | 4 | "The silver chain dug into her collarbone as the thumbnail-sized crimson gem thrummed, a steady, rhythmic heat that climbed her ribs and settled behind her breas…" | | 5 | "The unease coiled in her gut, familiar and sharp, the same tension that had kept her alive after she’d fled Evan’s door and his temper." | | 6 | "The panic of the threshold was gone, replaced by the quiet certainty of someone who had finally walked into the room she’d been circling for months." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "Nyx whispered (whisper)" | | 1 | "they murmured (murmur)" |
| | dialogueSentences | 8 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.5 | | effectiveRatio | 0.5 | |