| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 1 | | adverbTags | | 0 | "Eva said quickly [quickly]" |
| | dialogueSentences | 48 | | tagDensity | 0.083 | | leniency | 0.167 | | rawRatio | 0.25 | | effectiveRatio | 0.042 | |
| 89.66% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1451 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slightly" | | 1 | "quickly" | | 2 | "slowly" |
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| 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) | |
| 65.54% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1451 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "marble" | | 1 | "familiar" | | 2 | "whisper" | | 3 | "velvet" | | 4 | "maw" | | 5 | "eyebrow" | | 6 | "glistening" | | 7 | "standard" | | 8 | "pulsed" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 177 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 177 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 221 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 8 | | markdownWords | 8 | | totalWords | 1438 | | ratio | 0.006 | | matches | | 0 | "now" | | 1 | "precise" | | 2 | "down" | | 3 | "retreated" | | 4 | "present" | | 5 | "Wrong" | | 6 | "pulled" | | 7 | "time" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 70 | | wordCount | 1107 | | uniqueNames | 12 | | maxNameDensity | 2.62 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 29 | | Eva | 27 | | Tube | 1 | | Northern | 1 | | Line | 1 | | Market | 1 | | English | 1 | | Veil | 1 | | Compass | 1 | | Didn | 3 | | Like | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Eva" | | 3 | "Tube" | | 4 | "Compass" |
| | places | | | globalScore | 0.19 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1438 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 221 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 79 | | mean | 18.2 | | std | 16.78 | | cv | 0.922 | | sampleLengths | | 0 | 74 | | 1 | 66 | | 2 | 57 | | 3 | 8 | | 4 | 1 | | 5 | 49 | | 6 | 16 | | 7 | 39 | | 8 | 19 | | 9 | 43 | | 10 | 6 | | 11 | 11 | | 12 | 14 | | 13 | 29 | | 14 | 17 | | 15 | 4 | | 16 | 21 | | 17 | 63 | | 18 | 27 | | 19 | 48 | | 20 | 8 | | 21 | 4 | | 22 | 28 | | 23 | 8 | | 24 | 17 | | 25 | 2 | | 26 | 4 | | 27 | 16 | | 28 | 8 | | 29 | 50 | | 30 | 18 | | 31 | 19 | | 32 | 10 | | 33 | 9 | | 34 | 50 | | 35 | 11 | | 36 | 7 | | 37 | 37 | | 38 | 9 | | 39 | 13 | | 40 | 4 | | 41 | 7 | | 42 | 58 | | 43 | 5 | | 44 | 13 | | 45 | 18 | | 46 | 26 | | 47 | 9 | | 48 | 3 | | 49 | 30 |
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| 99.32% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 177 | | matches | | 0 | "been open" | | 1 | "was gone" | | 2 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 189 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 16 | | semicolonCount | 0 | | flaggedSentences | 15 | | totalSentences | 221 | | ratio | 0.068 | | matches | | 0 | "She'd carried it a month after that first time— traded a week’s pay for the privilege of entry into a place that shouldn't exist." | | 1 | "His grip tightened—not human pressure—but she didn't flinch." | | 2 | "A hand slipped into hers—small, warm, trembling slightly." | | 3 | "Eva tapped the face of hers—a delicate thing painted with constellations." | | 4 | "The needle spun once, wildly, then settled—pointing downward, into the black maw of the abandoned Tube tunnels ahead." | | 5 | "A single crimson line cut neat across his throat—too neat for a blade, too shallow for sure death." | | 6 | "The distance matched the official report—suicide at 6:32 AM local time." | | 7 | "The cut was *precise*—no jagged edges, no tearing." | | 8 | "A murmur rose from the Market behind them—vendors bartering, a child laughing in a language older than English." | | 9 | "The brass casing was cold—colder than the air." | | 10 | "The needle spun wildly, then locked—pointing *down*, straight through the tracks, into the tunnel." | | 11 | "Quicker than a tick, her fingers brushed the glistening tracks—barely touching." | | 12 | "The moment she made contact, the sheen *retreated*—slithering into the gaps between the iron rails, pooling in a thin, creeping line toward the tunnel wall." | | 13 | "A gust of air rushed through the tunnel—not coming from any source, not going anywhere." | | 14 | "The train tracks vanished ahead—into darkness thicker than night." |
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| 94.59% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1126 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 52 | | adverbRatio | 0.046181172291296625 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.008880994671403197 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 221 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 221 | | mean | 6.51 | | std | 5.31 | | cv | 0.816 | | sampleLengths | | 0 | 17 | | 1 | 23 | | 2 | 10 | | 3 | 24 | | 4 | 8 | | 5 | 17 | | 6 | 3 | | 7 | 3 | | 8 | 17 | | 9 | 10 | | 10 | 8 | | 11 | 22 | | 12 | 12 | | 13 | 8 | | 14 | 5 | | 15 | 5 | | 16 | 3 | | 17 | 2 | | 18 | 8 | | 19 | 1 | | 20 | 12 | | 21 | 18 | | 22 | 19 | | 23 | 13 | | 24 | 3 | | 25 | 6 | | 26 | 4 | | 27 | 11 | | 28 | 10 | | 29 | 8 | | 30 | 11 | | 31 | 8 | | 32 | 3 | | 33 | 6 | | 34 | 16 | | 35 | 18 | | 36 | 4 | | 37 | 2 | | 38 | 11 | | 39 | 11 | | 40 | 3 | | 41 | 15 | | 42 | 9 | | 43 | 5 | | 44 | 6 | | 45 | 11 | | 46 | 4 | | 47 | 14 | | 48 | 7 | | 49 | 3 |
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| 42.31% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.27149321266968324 | | totalSentences | 221 | | uniqueOpeners | 60 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 9 | | totalSentences | 140 | | matches | | 0 | "Too small for an axe." | | 1 | "Too curved for a knife." | | 2 | "More like an oil spill" | | 3 | "Then two verticals." | | 4 | "Then a cross." | | 5 | "Then it was gone." | | 6 | "Then he was gone." | | 7 | "Then locked onto the tunnel" | | 8 | "Then the first scream came" |
| | ratio | 0.064 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 140 | | matches | | 0 | "She'd carried it a month" | | 1 | "His coat looked more like" | | 2 | "He didn't speak." | | 3 | "His grip tightened—not human pressure—but" | | 4 | "She tugged once, leading away" | | 5 | "Her round glasses caught the" | | 6 | "She knew Eva’s watch couldn’t" | | 7 | "She unclasped her own leather" | | 8 | "She stepped forward, boots clicking" | | 9 | "His eyes were open." | | 10 | "She counted the steps with" | | 11 | "She didn’t touch the body." | | 12 | "She looked at the edges" | | 13 | "She walked to the edge" | | 14 | "She knelt again." | | 15 | "She pulled the Veil Compass" | | 16 | "She held it horizontal." | | 17 | "It gathered there, forming a" | | 18 | "She turned slowly." | | 19 | "His eyes had no pupils." |
| | ratio | 0.179 | |
| 63.57% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 111 | | totalSentences | 140 | | matches | | 0 | "The station air smelled of" | | 1 | "Detective Harlow Quinn adjusted the" | | 2 | "The bone token felt cool" | | 3 | "She'd carried it a month" | | 4 | "The guard at the archway" | | 5 | "His coat looked more like" | | 6 | "He didn't speak." | | 7 | "Quinn passed the bone token" | | 8 | "Light passed through the milky" | | 9 | "His grip tightened—not human pressure—but" | | 10 | "Darkness greeted her, then shapes" | | 11 | "Voices murmured in a dozen" | | 12 | "The air tasted of burnt" | | 13 | "Quinn exhaled through her nose." | | 14 | "Military precision guided her footfalls." | | 15 | "A hand slipped into hers—small," | | 16 | "Eva’s voice wasn't a whisper," | | 17 | "She tugged once, leading away" | | 18 | "Her round glasses caught the" | | 19 | "Eva said, tucking a curl" |
| | ratio | 0.793 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 140 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 1 | | matches | | 0 | "Bottles filled with liquid that shifted color like oil on water." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | 0 | "She stepped, boots clicking against damp tile" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 48 | | tagDensity | 0.063 | | leniency | 0.125 | | rawRatio | 0 | | effectiveRatio | 0 | |