| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 22 | | tagDensity | 0.182 | | leniency | 0.364 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.37% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1379 | | 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) | |
| 27.48% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1379 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "shattered" | | 1 | "rhythmic" | | 2 | "shimmered" | | 3 | "familiar" | | 4 | "etched" | | 5 | "vibrated" | | 6 | "pristine" | | 7 | "traced" | | 8 | "weight" | | 9 | "scanning" | | 10 | "flicker" | | 11 | "pulsed" | | 12 | "echoed" | | 13 | "grave" | | 14 | "ensuring" | | 15 | "measured" |
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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 | 70 | | matches | (empty) | |
| 61.22% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 70 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 88 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 8 | | totalWords | 1375 | | ratio | 0.006 | | matches | | 0 | "The Veil requires a blood price for passage." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 966 | | uniqueNames | 13 | | maxNameDensity | 0.83 | | worstName | "Harlow" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Harlow" | | discoveredNames | | Camden | 1 | | Harlow | 8 | | Quinn | 1 | | Inspector | 1 | | Miller | 7 | | Veil | 3 | | Compass | 1 | | Market | 2 | | Eva | 1 | | Kowalski | 1 | | Tuesday | 1 | | English | 1 | | Void | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Inspector" | | 3 | "Miller" | | 4 | "Veil" | | 5 | "Market" | | 6 | "Eva" | | 7 | "Kowalski" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 69.35% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like quicksilver" | | 1 | "felt like drying skin" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.727 | | wordCount | 1375 | | matches | | 0 | "not textbooks, but archaic, leather-bound manuscripts" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 88 | | matches | (empty) | |
| 99.63% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 37.16 | | std | 18.53 | | cv | 0.499 | | sampleLengths | | 0 | 63 | | 1 | 63 | | 2 | 27 | | 3 | 30 | | 4 | 79 | | 5 | 23 | | 6 | 17 | | 7 | 53 | | 8 | 60 | | 9 | 34 | | 10 | 38 | | 11 | 39 | | 12 | 66 | | 13 | 36 | | 14 | 35 | | 15 | 9 | | 16 | 2 | | 17 | 57 | | 18 | 56 | | 19 | 16 | | 20 | 8 | | 21 | 26 | | 22 | 33 | | 23 | 43 | | 24 | 42 | | 25 | 44 | | 26 | 15 | | 27 | 53 | | 28 | 22 | | 29 | 29 | | 30 | 55 | | 31 | 28 | | 32 | 17 | | 33 | 12 | | 34 | 54 | | 35 | 43 | | 36 | 48 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 70 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 161 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 3 | | flaggedSentences | 6 | | totalSentences | 88 | | ratio | 0.068 | | matches | | 0 | "The needle of the internal compass she carried—a small, brass tool with sigils etched deep into its face—spun erratically, then locked toward the tear." | | 1 | "They were not vandalism; they were anchors." | | 2 | "The bag was open, books spilled across the floor—not textbooks, but archaic, leather-bound manuscripts that defied the modern light." | | 3 | "A flicker of something cold passed through his eyes—a momentary lapse in the military precision he usually displayed." | | 4 | "He hadn't been waiting for the report; he had been protecting the site." | | 5 | "It wasn't just a portal; it was a hungry, sentient thing." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 974 | | adjectiveStacks | 1 | | stackExamples | | 0 | "archaic, leather-bound manuscripts" |
| | adverbCount | 16 | | adverbRatio | 0.01642710472279261 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.008213552361396304 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 88 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 88 | | mean | 15.63 | | std | 8.16 | | cv | 0.522 | | sampleLengths | | 0 | 17 | | 1 | 16 | | 2 | 14 | | 3 | 16 | | 4 | 13 | | 5 | 16 | | 6 | 10 | | 7 | 24 | | 8 | 12 | | 9 | 15 | | 10 | 30 | | 11 | 15 | | 12 | 9 | | 13 | 15 | | 14 | 5 | | 15 | 11 | | 16 | 24 | | 17 | 23 | | 18 | 17 | | 19 | 25 | | 20 | 16 | | 21 | 12 | | 22 | 23 | | 23 | 21 | | 24 | 9 | | 25 | 3 | | 26 | 4 | | 27 | 15 | | 28 | 19 | | 29 | 38 | | 30 | 39 | | 31 | 19 | | 32 | 17 | | 33 | 7 | | 34 | 23 | | 35 | 9 | | 36 | 13 | | 37 | 14 | | 38 | 27 | | 39 | 8 | | 40 | 9 | | 41 | 2 | | 42 | 19 | | 43 | 19 | | 44 | 19 | | 45 | 10 | | 46 | 13 | | 47 | 6 | | 48 | 19 | | 49 | 8 |
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| 53.79% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.3977272727272727 | | totalSentences | 88 | | uniqueOpeners | 35 | |
| 49.75% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 67 | | matches | | 0 | "Usually, an explosion of energy" |
| | ratio | 0.015 | |
| 52.84% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 67 | | matches | | 0 | "She adjusted her grip on" | | 1 | "Her boots crunched against shattered" | | 2 | "It wasn't a structural flaw" | | 3 | "It was a tear in" | | 4 | "He gestured toward the rip" | | 5 | "She knelt, checking her watch." | | 6 | "She ignored him, reaching into" | | 7 | "She walked toward the rift," | | 8 | "She traced the edge of" | | 9 | "she muttered, rising to her" | | 10 | "She turned to find Miller" | | 11 | "They matched the markings on" | | 12 | "They were not vandalism; they" | | 13 | "She felt the weight of" | | 14 | "she said, her voice dropping" | | 15 | "She swung the flashlight toward" | | 16 | "It was an old leather" | | 17 | "She snatched a leather-bound book" | | 18 | "She flipped it open, scanning" | | 19 | "He hadn't been waiting for" |
| | ratio | 0.418 | |
| 12.24% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 60 | | totalSentences | 67 | | matches | | 0 | "The scent of ozone and" | | 1 | "She adjusted her grip on" | | 2 | "Her boots crunched against shattered" | | 3 | "A cluster of uniforms stood" | | 4 | "It wasn't a structural flaw" | | 5 | "It was a tear in" | | 6 | "Detective Inspector Miller blocked her" | | 7 | "He gestured toward the rip" | | 8 | "Harlow stepped past him, her" | | 9 | "Here, the silt on the" | | 10 | "She knelt, checking her watch." | | 11 | "The leather strap tightened against" | | 12 | "The needle of the internal" | | 13 | "She ignored him, reaching into" | | 14 | "The object vibrated in her" | | 15 | "She walked toward the rift," | | 16 | "She traced the edge of" | | 17 | "This was intentional." | | 18 | "This was an excavation." | | 19 | "she muttered, rising to her" |
| | ratio | 0.896 | |
| 74.63% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 67 | | matches | | 0 | "If this rift opened fully," |
| | ratio | 0.015 | |
| 40.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 7 | | matches | | 0 | "It was a tear in the fabric of the space itself, bleeding a faint, bioluminescent hue that bathed the tracks in sickly violet light." | | 1 | "Harlow stepped past him, her eyes tracking the peculiar lack of debris surrounding the rift." | | 2 | "The object vibrated in her palm, humming a low, discordant note that vibrated through her marrow." | | 3 | "Where the light touched the floor, the rust on the tracks disappeared entirely, replaced by a pristine, silver sheen that looked like quicksilver." | | 4 | "She traced the edge of the light with her fingertip, her skin prickling as if stung by a thousand invisible needles." | | 5 | "She turned to find Miller watching her with narrowed eyes, his hand resting on the holster at his hip." | | 6 | "The bag was open, books spilled across the floor—not textbooks, but archaic, leather-bound manuscripts that defied the modern light." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, her voice dropping to a low, serrated edge" |
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| 59.09% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she stated (state)" |
| | dialogueSentences | 22 | | tagDensity | 0.182 | | leniency | 0.364 | | rawRatio | 0.5 | | effectiveRatio | 0.182 | |