| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 25 | | tagDensity | 0.36 | | leniency | 0.72 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.72% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 973 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 973 | | totalAiIsms | 22 | | found | | | highlights | | 0 | "stark" | | 1 | "gloom" | | 2 | "glinting" | | 3 | "rhythmic" | | 4 | "echoed" | | 5 | "navigating" | | 6 | "etched" | | 7 | "vibrated" | | 8 | "traced" | | 9 | "calculated" | | 10 | "whisper" | | 11 | "silence" | | 12 | "weight" | | 13 | "intensity" | | 14 | "searing" | | 15 | "standard" | | 16 | "flickered" |
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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 | 43 | | matches | (empty) | |
| 9.97% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 43 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 59 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 970 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 8 | | wordCount | 592 | | uniqueNames | 4 | | maxNameDensity | 0.84 | | worstName | "Quinn" | | maxWindowNameDensity | 1 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | Quinn | 5 | | Veil | 1 | | Compass | 1 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 25.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 40 | | glossingSentenceCount | 2 | | matches | | 0 | "tasted like a lightning strike in a coppe" | | 1 | "felt like a surgical incision" |
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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 | 970 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 59 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 31.29 | | std | 17.51 | | cv | 0.559 | | sampleLengths | | 0 | 57 | | 1 | 50 | | 2 | 19 | | 3 | 16 | | 4 | 30 | | 5 | 42 | | 6 | 27 | | 7 | 53 | | 8 | 68 | | 9 | 10 | | 10 | 56 | | 11 | 41 | | 12 | 15 | | 13 | 22 | | 14 | 7 | | 15 | 39 | | 16 | 56 | | 17 | 30 | | 18 | 22 | | 19 | 8 | | 20 | 10 | | 21 | 38 | | 22 | 14 | | 23 | 21 | | 24 | 34 | | 25 | 47 | | 26 | 12 | | 27 | 7 | | 28 | 54 | | 29 | 25 | | 30 | 40 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 43 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 107 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 59 | | ratio | 0.051 | | matches | | 0 | "They weren't carved; they looked charred, as if a branding iron had kissed the concrete until it surrendered." | | 1 | "Then, the sound of boots scraping against loose ballast echoed from the tunnel mouth—a slow, rhythmic, deliberate approach." | | 2 | "A shadow—darker and deeper than the surrounding gloom—detached itself from the tunnel wall and began to slide across the floor, independent of any light source." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 607 | | adjectiveStacks | 1 | | stackExamples | | 0 | "slow, rhythmic, deliberate approach." |
| | adverbCount | 11 | | adverbRatio | 0.018121911037891267 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0032948929159802307 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 59 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 59 | | mean | 16.44 | | std | 8.67 | | cv | 0.527 | | sampleLengths | | 0 | 15 | | 1 | 24 | | 2 | 18 | | 3 | 19 | | 4 | 15 | | 5 | 16 | | 6 | 12 | | 7 | 7 | | 8 | 16 | | 9 | 12 | | 10 | 18 | | 11 | 15 | | 12 | 27 | | 13 | 27 | | 14 | 16 | | 15 | 37 | | 16 | 10 | | 17 | 8 | | 18 | 9 | | 19 | 5 | | 20 | 20 | | 21 | 16 | | 22 | 10 | | 23 | 43 | | 24 | 13 | | 25 | 18 | | 26 | 23 | | 27 | 15 | | 28 | 2 | | 29 | 6 | | 30 | 14 | | 31 | 7 | | 32 | 39 | | 33 | 11 | | 34 | 45 | | 35 | 16 | | 36 | 14 | | 37 | 22 | | 38 | 8 | | 39 | 10 | | 40 | 9 | | 41 | 11 | | 42 | 18 | | 43 | 14 | | 44 | 21 | | 45 | 11 | | 46 | 13 | | 47 | 10 | | 48 | 25 | | 49 | 22 |
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| 67.23% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4745762711864407 | | totalSentences | 59 | | uniqueOpeners | 28 | |
| 79.37% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 42 | | matches | | 0 | "Then, the sound of boots" |
| | ratio | 0.024 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 42 | | matches | | 0 | "It tasted like a lightning" | | 1 | "I ducked beneath the police" | | 2 | "She checked her worn leather" | | 3 | "she said, not bothering to" | | 4 | "Her bearing remained military, stiff" | | 5 | "I gestured to the sprawling," | | 6 | "They weren't carved; they looked" | | 7 | "She walked toward the victim," | | 8 | "I knelt, ignoring the damp" | | 9 | "I pulled the Veil Compass" | | 10 | "It spun, a frantic, jittery" | | 11 | "I traced the perimeter of" | | 12 | "she muttered, though she shifted" | | 13 | "I said, my voice steady" | | 14 | "She turned, her brown eyes" | | 15 | "She leaned in, her voice" | | 16 | "I stood up, the heat" | | 17 | "I slipped it back into" | | 18 | "She paused, her hand hovering" | | 19 | "she ordered, her voice shedding" |
| | ratio | 0.571 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 40 | | totalSentences | 42 | | matches | | 0 | "The stench of ozone and" | | 1 | "It tasted like a lightning" | | 2 | "I ducked beneath the police" | | 3 | "Harlow Quinn stood by the" | | 4 | "She checked her worn leather" | | 5 | "she said, not bothering to" | | 6 | "Her bearing remained military, stiff" | | 7 | "I gestured to the sprawling," | | 8 | "They weren't carved; they looked" | | 9 | "Quinn said, gesturing toward the" | | 10 | "She walked toward the victim," | | 11 | "I knelt, ignoring the damp" | | 12 | "I pulled the Veil Compass" | | 13 | "The verdigris-covered brass felt unnervingly" | | 14 | "The needle didn't point north." | | 15 | "It spun, a frantic, jittery" | | 16 | "That set of sigils etched" | | 17 | "I traced the perimeter of" | | 18 | "she muttered, though she shifted" | | 19 | "I said, my voice steady" |
| | ratio | 0.952 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 42 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 1 | | matches | | 0 | "That set of sigils etched into the casing vibrated, a low-frequency hum that rattled my teeth." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 3 | | matches | | 0 | "she said, not bothering to look back" | | 1 | "I said, my voice steady," | | 2 | "Quinn breathed, her aim steady but her knuckles white" |
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| 30.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 3 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she ordered (order)" | | 2 | "Quinn breathed (breathe)" |
| | dialogueSentences | 25 | | tagDensity | 0.32 | | leniency | 0.64 | | rawRatio | 0.375 | | effectiveRatio | 0.24 | |