| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 92.08% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1262 | | 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) | |
| 24.72% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1262 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "pulse" | | 1 | "scanning" | | 2 | "magnetic" | | 3 | "perfect" | | 4 | "etched" | | 5 | "shimmered" | | 6 | "traced" | | 7 | "standard" | | 8 | "processed" | | 9 | "rhythmic" | | 10 | "silence" | | 11 | "warmth" | | 12 | "weight" | | 13 | "maw" | | 14 | "echo" | | 15 | "pulsed" | | 16 | "echoed" |
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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 | 57 | | matches | (empty) | |
| 0.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 5 | | narrationSentences | 57 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "began to" | | 2 | "tended to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 84 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 4 | | totalWords | 1259 | | ratio | 0.003 | | matches | | |
| 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 | 10 | | wordCount | 776 | | uniqueNames | 5 | | maxNameDensity | 0.77 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | Tube | 1 | | Quinn | 6 | | Eva | 1 | | Kowalski | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Eva" | | 2 | "Kowalski" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 47.96% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like wet ink" | | 1 | "felt like dragging wool through her lun" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.794 | | wordCount | 1259 | | matches | | 0 | "not blood, but a viscous, glowing pigment" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 84 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 29.28 | | std | 18.71 | | cv | 0.639 | | sampleLengths | | 0 | 65 | | 1 | 21 | | 2 | 33 | | 3 | 23 | | 4 | 14 | | 5 | 59 | | 6 | 20 | | 7 | 8 | | 8 | 54 | | 9 | 19 | | 10 | 47 | | 11 | 43 | | 12 | 39 | | 13 | 13 | | 14 | 11 | | 15 | 54 | | 16 | 14 | | 17 | 12 | | 18 | 52 | | 19 | 8 | | 20 | 13 | | 21 | 50 | | 22 | 25 | | 23 | 8 | | 24 | 15 | | 25 | 53 | | 26 | 27 | | 27 | 4 | | 28 | 2 | | 29 | 54 | | 30 | 22 | | 31 | 18 | | 32 | 24 | | 33 | 51 | | 34 | 31 | | 35 | 2 | | 36 | 25 | | 37 | 73 | | 38 | 41 | | 39 | 44 | | 40 | 16 | | 41 | 18 | | 42 | 34 |
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| 92.95% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 57 | | matches | | 0 | "were scorched" | | 1 | "were covered" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 123 | | matches | (empty) | |
| 6.80% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 1 | | flaggedSentences | 4 | | totalSentences | 84 | | ratio | 0.048 | | matches | | 0 | "The shadows did not drape over the walls; they clung to them, pulsing in rhythmic intervals." | | 1 | "She felt the heavy silence of the underworld—a place where the veil between the known and the impossible grew translucent." | | 2 | "She saw a smear of red on the rail—not blood, but a viscous, glowing pigment that looked like wet ink." | | 3 | "The walls here were covered in marks—scratches, sigils, and handprints that glowed with a faint, bioluminescent rot." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 784 | | adjectiveStacks | 1 | | stackExamples | | 0 | "heavy, iron-wrought gate," |
| | adverbCount | 18 | | adverbRatio | 0.02295918367346939 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.011479591836734694 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 84 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 84 | | mean | 14.99 | | std | 8.52 | | cv | 0.569 | | sampleLengths | | 0 | 15 | | 1 | 21 | | 2 | 6 | | 3 | 23 | | 4 | 21 | | 5 | 2 | | 6 | 21 | | 7 | 10 | | 8 | 23 | | 9 | 14 | | 10 | 10 | | 11 | 19 | | 12 | 14 | | 13 | 16 | | 14 | 20 | | 15 | 8 | | 16 | 7 | | 17 | 11 | | 18 | 15 | | 19 | 13 | | 20 | 8 | | 21 | 19 | | 22 | 47 | | 23 | 4 | | 24 | 21 | | 25 | 18 | | 26 | 39 | | 27 | 13 | | 28 | 11 | | 29 | 5 | | 30 | 6 | | 31 | 5 | | 32 | 17 | | 33 | 9 | | 34 | 12 | | 35 | 14 | | 36 | 12 | | 37 | 17 | | 38 | 6 | | 39 | 11 | | 40 | 11 | | 41 | 7 | | 42 | 8 | | 43 | 13 | | 44 | 14 | | 45 | 16 | | 46 | 20 | | 47 | 25 | | 48 | 8 | | 49 | 15 |
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| 48.41% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3333333333333333 | | totalSentences | 84 | | uniqueOpeners | 28 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 56 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 56 | | matches | | 0 | "Her boots crunched on glass" | | 1 | "She checked the worn leather" | | 2 | "He gestured at the empty" | | 3 | "She reached out, her sharp" | | 4 | "She stood, brushing grit from" | | 5 | "She pulled a small, brass" | | 6 | "It stopped, pointing directly at" | | 7 | "She moved past the officer" | | 8 | "She recognized the strap, a" | | 9 | "She picked up the satchel." | | 10 | "It was heavy, weighted with" | | 11 | "She flipped the flap open." | | 12 | "She pulled one out, the" | | 13 | "She knelt, inspecting the concrete" | | 14 | "It was jagged, carved with" | | 15 | "It hummed in response to" | | 16 | "She stood and turned, facing" | | 17 | "She felt the heavy silence" | | 18 | "She saw a smear of" | | 19 | "She pressed her thumb against" |
| | ratio | 0.554 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 56 | | matches | | 0 | "The damp air of the" | | 1 | "Harlow Quinn stepped over a" | | 2 | "Her boots crunched on glass" | | 3 | "She checked the worn leather" | | 4 | "A uniform leaned against the" | | 5 | "He gestured at the empty" | | 6 | "Quinn knelt beside a blackened" | | 7 | "The scorched concrete formed a" | | 8 | "She reached out, her sharp" | | 9 | "The air grew dense here," | | 10 | "She stood, brushing grit from" | | 11 | "She pulled a small, brass" | | 12 | "The needle spun wildly, a" | | 13 | "It stopped, pointing directly at" | | 14 | "The verdigris-covered casing grew warm" | | 15 | "Quinn ignored the jab." | | 16 | "She moved past the officer" | | 17 | "She recognized the strap, a" | | 18 | "She picked up the satchel." | | 19 | "It was heavy, weighted with" |
| | ratio | 0.946 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 56 | | matches | (empty) | | ratio | 0 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 3 | | matches | | 0 | "The scorched concrete formed a perfect circle, the edges etched with fine, silver-colored sediment that shimmered under her light." | | 1 | "It was jagged, carved with symbols that defied typical forensic classification." | | 2 | "The walls here were covered in marks—scratches, sigils, and handprints that glowed with a faint, bioluminescent rot." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |