| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 10 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.69% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1203 | | 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) | |
| 21.03% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1203 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "warmth" | | 1 | "flickered" | | 2 | "grave" | | 3 | "pulsed" | | 4 | "racing" | | 5 | "pulse" | | 6 | "whisper" | | 7 | "footsteps" | | 8 | "scanning" | | 9 | "silence" | | 10 | "sentinel" | | 11 | "traced" | | 12 | "resolved" | | 13 | "almost alive" |
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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 | 116 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 116 | | filterMatches | (empty) | | hedgeMatches | | |
| 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 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 61.90% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 11 | | markdownWords | 83 | | totalWords | 1202 | | ratio | 0.069 | | matches | | 0 | "Get the delivery done. Get back to the bike. Go home." | | 1 | "Blood." | | 2 | "Old blood, dried and forgotten." | | 3 | "Get out. Now." | | 4 | "There's no one there. You're tired. You're stressed. Evan's been leaving messages again and you haven't slept properly in days and this is what sleep deprivation does to people." | | 5 | "Okay. Okay. Think." | | 6 | "Someone brought you here. The delivery order. The address that doesn't exist. This was planned." | | 7 | "Hel portal." | | 8 | "The pendant detects Hel portals. And something here is opening one." | | 9 | "Run," | | 10 | "Run now." |
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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 | 21 | | wordCount | 1115 | | uniqueNames | 11 | | maxNameDensity | 0.81 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 1 | | Richmond | 1 | | Park | 1 | | Golden | 1 | | Empress | 1 | | Eva | 2 | | Grove | 1 | | Lane | 1 | | November | 1 | | Hel | 2 | | Rory | 9 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Grove" | | 3 | "Lane" |
| | globalScore | 1 | | windowScore | 1 | |
| 34.62% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like that multiplied by a thousand" | | 1 | "seemed wrong somehow, too white, too clinical, like the fluorescent tubes in hospital corridors" | | 2 | "as if tasting the name" |
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| 33.61% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.664 | | wordCount | 1202 | | matches | | 0 | "Not blocked, not overgrown, but simply gone, replaced by another oak standing sentinel" | | 1 | "not overgrown, but simply gone, replaced by another oak standing sentinel" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 122 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 29.32 | | std | 19.43 | | cv | 0.663 | | sampleLengths | | 0 | 13 | | 1 | 56 | | 2 | 79 | | 3 | 64 | | 4 | 11 | | 5 | 45 | | 6 | 50 | | 7 | 10 | | 8 | 53 | | 9 | 3 | | 10 | 53 | | 11 | 20 | | 12 | 35 | | 13 | 29 | | 14 | 17 | | 15 | 8 | | 16 | 31 | | 17 | 45 | | 18 | 4 | | 19 | 33 | | 20 | 44 | | 21 | 39 | | 22 | 5 | | 23 | 55 | | 24 | 29 | | 25 | 5 | | 26 | 10 | | 27 | 37 | | 28 | 19 | | 29 | 3 | | 30 | 53 | | 31 | 3 | | 32 | 41 | | 33 | 27 | | 34 | 44 | | 35 | 30 | | 36 | 29 | | 37 | 5 | | 38 | 29 | | 39 | 27 | | 40 | 9 |
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| 99.21% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 116 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 186 | | matches | (empty) | |
| 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) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1116 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 44 | | adverbRatio | 0.03942652329749104 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.005376344086021506 | |
| 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 | 9.85 | | std | 7.89 | | cv | 0.801 | | sampleLengths | | 0 | 13 | | 1 | 20 | | 2 | 6 | | 3 | 15 | | 4 | 15 | | 5 | 20 | | 6 | 14 | | 7 | 18 | | 8 | 7 | | 9 | 20 | | 10 | 13 | | 11 | 26 | | 12 | 25 | | 13 | 4 | | 14 | 5 | | 15 | 2 | | 16 | 5 | | 17 | 16 | | 18 | 3 | | 19 | 3 | | 20 | 18 | | 21 | 10 | | 22 | 11 | | 23 | 11 | | 24 | 18 | | 25 | 5 | | 26 | 5 | | 27 | 5 | | 28 | 18 | | 29 | 7 | | 30 | 2 | | 31 | 2 | | 32 | 19 | | 33 | 2 | | 34 | 1 | | 35 | 13 | | 36 | 11 | | 37 | 17 | | 38 | 4 | | 39 | 8 | | 40 | 11 | | 41 | 6 | | 42 | 1 | | 43 | 1 | | 44 | 1 | | 45 | 8 | | 46 | 1 | | 47 | 26 | | 48 | 4 | | 49 | 2 |
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| 55.74% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.39344262295081966 | | totalSentences | 122 | | uniqueOpeners | 48 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 93 | | matches | | 0 | "Just the strange wildflowers and" | | 1 | "Of course no answer." | | 2 | "Impossibly tall, the proportions wrong" |
| | ratio | 0.032 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 93 | | matches | | 0 | "She'd passed this corner of" | | 1 | "Her phone had died the" | | 2 | "She'd stood there like an" | | 3 | "She'd checked twice." | | 4 | "She took a step backward." | | 5 | "Her heel caught on a" | | 6 | "She snatched her hand away" | | 7 | "She'd read about panic attacks" | | 8 | "She counted four distinct steps" | | 9 | "Her voice cracked on the" | | 10 | "They just circled and waited" | | 11 | "She moved toward the gap" | | 12 | "She tried the next gap." | | 13 | "She pulled the chain over" | | 14 | "She'd never heard them before," | | 15 | "They turned toward her." | | 16 | "Her shoulders hit another stone." | | 17 | "She'd lost track of the" | | 18 | "She kept her voice steady" | | 19 | "She might have been beautiful" |
| | ratio | 0.237 | |
| 62.15% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 93 | | matches | | 0 | "The pendant burned against her" | | 1 | "Rory pressed her palm flat" | | 2 | "Tonight marked the first time" | | 3 | "The standing stones of Richmond" | | 4 | "She'd passed this corner of" | | 5 | "The Golden Empress had regulars" | | 6 | "Her phone had died the" | | 7 | "The screen flickered once, showed" | | 8 | "She'd stood there like an" | | 9 | "The address the man had" | | 10 | "She'd checked twice." | | 11 | "The houses jumped from 12" 12/1/2001, 12:00:00 AM | | 12 | "The stones formed a rough" | | 13 | "Wildflowers carpeted the ground between" | | 14 | "Rory counted at least four" | | 15 | "The air hung motionless, thick" | | 16 | "*Blood.* The thought surfaced unbidden." | | 17 | "She took a step backward." | | 18 | "Her heel caught on a" | | 19 | "The bark beneath her palm" |
| | ratio | 0.796 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 93 | | matches | (empty) | | ratio | 0 | |
| 51.67% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 6 | | matches | | 0 | "The standing stones of Richmond Park rose ahead, ancient oaks twisted into shapes that defied the natural order of growth." | | 1 | "The pendant pulsed stronger, a steady heartbeat that matched her own racing pulse." | | 2 | "Just the strange wildflowers and the twisted oaks and the moonlight that seemed wrong somehow, too white, too clinical, like the fluorescent tubes in hospital c…" | | 3 | "Rory's hand found the crescent scar on her left wrist and traced it with her thumb, an old habit from childhood that surfaced in moments of extreme stress." | | 4 | "Rory dropped it with a hiss of pain, watching it fall to the grass where it continued to glow, pulsing faster now, a desperate warning that had come too late." | | 5 | "But the circle remained closed, and the flowers continued their slow rotation, and the creature smiled with teeth that had been filed into points sometime in th…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | 0 | "The creature pronounced, as if tasting the name" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "The creature pronounced (pronounce)" | | 1 | "the creature continued (continue)" |
| | dialogueSentences | 10 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 1 | | effectiveRatio | 0.4 | |