| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 91.51% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1178 | | 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) | |
| 2.38% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1178 | | totalAiIsms | 23 | | found | | | highlights | | 0 | "echoed" | | 1 | "weight" | | 2 | "traced" | | 3 | "etched" | | 4 | "vibrated" | | 5 | "fractured" | | 6 | "pulsed" | | 7 | "mechanical" | | 8 | "echoes" | | 9 | "measured" | | 10 | "perfect" | | 11 | "crystal" | | 12 | "pawn" | | 13 | "aligned" | | 14 | "resonance" | | 15 | "trembled" | | 16 | "gloom" |
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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 | 202 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 202 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 202 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 16 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1178 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 94.82% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 1178 | | uniqueNames | 5 | | maxNameDensity | 1.1 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "You" | | discoveredNames | | Camden | 1 | | Quinn | 13 | | Davies | 13 | | Morris | 1 | | You | 9 |
| | persons | | 0 | "Quinn" | | 1 | "Davies" | | 2 | "Morris" | | 3 | "You" |
| | places | (empty) | | globalScore | 0.948 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 99 | | 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 | 1178 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 202 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 27.4 | | std | 23.25 | | cv | 0.849 | | sampleLengths | | 0 | 84 | | 1 | 8 | | 2 | 22 | | 3 | 62 | | 4 | 8 | | 5 | 21 | | 6 | 5 | | 7 | 56 | | 8 | 5 | | 9 | 30 | | 10 | 10 | | 11 | 50 | | 12 | 5 | | 13 | 27 | | 14 | 51 | | 15 | 3 | | 16 | 42 | | 17 | 12 | | 18 | 36 | | 19 | 2 | | 20 | 9 | | 21 | 4 | | 22 | 30 | | 23 | 4 | | 24 | 17 | | 25 | 67 | | 26 | 4 | | 27 | 37 | | 28 | 2 | | 29 | 41 | | 30 | 5 | | 31 | 32 | | 32 | 58 | | 33 | 4 | | 34 | 31 | | 35 | 4 | | 36 | 54 | | 37 | 6 | | 38 | 23 | | 39 | 53 | | 40 | 85 | | 41 | 26 | | 42 | 43 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 202 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 209 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 202 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1180 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.01440677966101695 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.005932203389830509 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 202 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 202 | | mean | 5.83 | | std | 2.93 | | cv | 0.503 | | sampleLengths | | 0 | 11 | | 1 | 11 | | 2 | 10 | | 3 | 13 | | 4 | 8 | | 5 | 15 | | 6 | 16 | | 7 | 8 | | 8 | 8 | | 9 | 7 | | 10 | 2 | | 11 | 5 | | 12 | 5 | | 13 | 6 | | 14 | 12 | | 15 | 6 | | 16 | 5 | | 17 | 3 | | 18 | 10 | | 19 | 11 | | 20 | 2 | | 21 | 2 | | 22 | 8 | | 23 | 8 | | 24 | 3 | | 25 | 4 | | 26 | 6 | | 27 | 5 | | 28 | 5 | | 29 | 6 | | 30 | 8 | | 31 | 2 | | 32 | 3 | | 33 | 7 | | 34 | 7 | | 35 | 5 | | 36 | 5 | | 37 | 8 | | 38 | 5 | | 39 | 8 | | 40 | 4 | | 41 | 7 | | 42 | 11 | | 43 | 4 | | 44 | 6 | | 45 | 8 | | 46 | 7 | | 47 | 2 | | 48 | 2 | | 49 | 6 |
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| 53.14% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 26 | | diversityRatio | 0.39603960396039606 | | totalSentences | 202 | | uniqueOpeners | 80 | |
| 19.27% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 173 | | matches | | | ratio | 0.006 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 47 | | totalSentences | 173 | | matches | | 0 | "Her boots echoed on the" | | 1 | "You brought me down here" | | 2 | "She peeled back the plastic" | | 3 | "She traced the line of" | | 4 | "You get carbonization." | | 5 | "You get muscle contraction." | | 6 | "She stacked them neatly and" | | 7 | "She turned it over in" | | 8 | "It locked onto the far" | | 9 | "She pressed her palm against" | | 10 | "She closed her eyes and" | | 11 | "You hearing a rat nest." | | 12 | "They make the whole corridor" | | 13 | "I ran the building plans." | | 14 | "You’re chasing echoes." | | 15 | "She scooped a pinch between" | | 16 | "She dropped it into an" | | 17 | "He lit a cigarette despite" | | 18 | "He dropped it without flinching." | | 19 | "She marked the trajectory with" |
| | ratio | 0.272 | |
| 29.36% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 149 | | totalSentences | 173 | | matches | | 0 | "Rain slicked the chain-link fence" | | 1 | "Harlow Quinn cut through the" | | 2 | "The air inside tasted of" | | 3 | "Her boots echoed on the" | | 4 | "Emergency lamps bled pale light" | | 5 | "A body lay sprawled near" | | 6 | "PC Davies stood over it," | | 7 | "You brought me down here" | | 8 | "Davies shifted his weight and" | | 9 | "The victim walked past the" | | 10 | "Quinn knelt beside the sheet." | | 11 | "She peeled back the plastic" | | 12 | "The corpse wore a heavy" | | 13 | "Blood pooled beneath the left" | | 14 | "The wound showed no soot." | | 15 | "The skin around the entry" | | 16 | "She traced the line of" | | 17 | "Davies uncapped his pen and" | | 18 | "You get carbonization." | | 19 | "You get muscle contraction." |
| | ratio | 0.861 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 173 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 1 | | matches | | 0 | "Prices written in ink that caught the emergency lamp glow." |
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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 | |