| 98.73% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 33 | | adverbTagCount | 4 | | adverbTags | | 0 | "Quinn turned back [back]" | | 1 | "Quinn walked back [back]" | | 2 | "Quinn stepped around [around]" | | 3 | "The figure stepped back [back]" |
| | dialogueSentences | 79 | | tagDensity | 0.418 | | leniency | 0.835 | | rawRatio | 0.121 | | effectiveRatio | 0.101 | |
| 91.95% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1242 | | 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) | |
| 43.64% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1242 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "flickered" | | 1 | "dancing" | | 2 | "etched" | | 3 | "pristine" | | 4 | "scanned" | | 5 | "shimmered" | | 6 | "traced" | | 7 | "pulsed" | | 8 | "echoing" | | 9 | "silence" | | 10 | "familiar" | | 11 | "vibrated" |
| |
| 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 | 139 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 139 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 185 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 18 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1243 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 51 | | wordCount | 815 | | uniqueNames | 9 | | maxNameDensity | 3.31 | | worstName | "Quinn" | | maxWindowNameDensity | 7.5 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | Tube | 1 | | Quinn | 27 | | Veil | 2 | | Market | 1 | | Miller | 16 | | Compass | 1 | | Silence | 1 | | Static | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Market" | | 2 | "Miller" | | 3 | "Compass" | | 4 | "Silence" | | 5 | "Static" |
| | places | (empty) | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.805 | | wordCount | 1243 | | matches | | 0 | "Not from the light, but from the movement within them" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 185 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 83 | | mean | 14.98 | | std | 11.08 | | cv | 0.74 | | sampleLengths | | 0 | 54 | | 1 | 33 | | 2 | 4 | | 3 | 3 | | 4 | 15 | | 5 | 44 | | 6 | 16 | | 7 | 5 | | 8 | 22 | | 9 | 25 | | 10 | 3 | | 11 | 28 | | 12 | 4 | | 13 | 21 | | 14 | 4 | | 15 | 16 | | 16 | 6 | | 17 | 18 | | 18 | 8 | | 19 | 39 | | 20 | 2 | | 21 | 18 | | 22 | 16 | | 23 | 17 | | 24 | 2 | | 25 | 26 | | 26 | 8 | | 27 | 35 | | 28 | 5 | | 29 | 32 | | 30 | 12 | | 31 | 23 | | 32 | 14 | | 33 | 3 | | 34 | 20 | | 35 | 4 | | 36 | 30 | | 37 | 5 | | 38 | 23 | | 39 | 5 | | 40 | 23 | | 41 | 11 | | 42 | 29 | | 43 | 13 | | 44 | 14 | | 45 | 3 | | 46 | 15 | | 47 | 7 | | 48 | 25 | | 49 | 29 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 139 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 150 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 185 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 817 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.023255813953488372 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.008567931456548347 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 185 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 185 | | mean | 6.72 | | std | 3.82 | | cv | 0.569 | | sampleLengths | | 0 | 15 | | 1 | 11 | | 2 | 12 | | 3 | 16 | | 4 | 8 | | 5 | 16 | | 6 | 9 | | 7 | 4 | | 8 | 3 | | 9 | 8 | | 10 | 7 | | 11 | 4 | | 12 | 6 | | 13 | 1 | | 14 | 6 | | 15 | 16 | | 16 | 11 | | 17 | 11 | | 18 | 2 | | 19 | 3 | | 20 | 5 | | 21 | 17 | | 22 | 5 | | 23 | 2 | | 24 | 5 | | 25 | 11 | | 26 | 6 | | 27 | 1 | | 28 | 3 | | 29 | 3 | | 30 | 7 | | 31 | 4 | | 32 | 14 | | 33 | 4 | | 34 | 4 | | 35 | 3 | | 36 | 14 | | 37 | 4 | | 38 | 6 | | 39 | 10 | | 40 | 6 | | 41 | 5 | | 42 | 7 | | 43 | 3 | | 44 | 3 | | 45 | 4 | | 46 | 4 | | 47 | 3 | | 48 | 9 | | 49 | 17 |
| |
| 47.72% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 21 | | diversityRatio | 0.3551912568306011 | | totalSentences | 183 | | uniqueOpeners | 65 | |
| 84.03% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 119 | | matches | | 0 | "Too late for a casual" | | 1 | "Then a sound like metal" | | 2 | "Only the beam of her" |
| | ratio | 0.025 | |
| 75.46% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 119 | | matches | | 0 | "She stepped over a rusted" | | 1 | "He held a flashlight, the" | | 2 | "He looked up as Quinn" | | 3 | "She checked her worn leather" | | 4 | "She stopped ten feet from" | | 5 | "She examined the victim's hands." | | 6 | "She looked at the victim's" | | 7 | "He pulled out a small" | | 8 | "He held it up." | | 9 | "She walked to the wall" | | 10 | "She checked the victim's shoes." | | 11 | "She pulled out a small" | | 12 | "It felt cold against her" | | 13 | "She pointed to the graffiti." | | 14 | "She looked at Miller." | | 15 | "She reached the turnstile." | | 16 | "Her breath misted in front" | | 17 | "She pulled the bone token" | | 18 | "It hummed against her skin." | | 19 | "She didn't stop." |
| | ratio | 0.361 | |
| 6.22% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 108 | | totalSentences | 119 | | matches | | 0 | "The concrete walls of the" | | 1 | "She stepped over a rusted" | | 2 | "The Veil Market sat here," | | 3 | "Detective Miller waited by the" | | 4 | "He held a flashlight, the" | | 5 | "He looked up as Quinn" | | 6 | "Miller gestured toward the platform" | | 7 | "Quinn moved past him." | | 8 | "She checked her worn leather" | | 9 | "The air smelled of ozone" | | 10 | "She stopped ten feet from" | | 11 | "The victim wore a dark" | | 12 | "Miller shone his light on" | | 13 | "She examined the victim's hands." | | 14 | "The skin remained pale, untouched" | | 15 | "She looked at the victim's" | | 16 | "Miller reached in." | | 17 | "He pulled out a small" | | 18 | "He held it up." | | 19 | "The casing showed a patina" |
| | ratio | 0.908 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 119 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 17 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 33 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 2 | | fancyTags | | 0 | "Miller muttered (mutter)" | | 1 | "She spoke (speak)" |
| | dialogueSentences | 79 | | tagDensity | 0.089 | | leniency | 0.177 | | rawRatio | 0.286 | | effectiveRatio | 0.051 | |