| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 41 | | tagDensity | 0.293 | | leniency | 0.585 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.60% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1754 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slightly" | | 1 | "gently" | | 2 | "slowly" | | 3 | "suddenly" |
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| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 51.54% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1754 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "glint" | | 1 | "etched" | | 2 | "stomach" | | 3 | "traced" | | 4 | "perfect" | | 5 | "silence" | | 6 | "pulse" | | 7 | "weight" | | 8 | "swept away" | | 9 | "echoing" | | 10 | "stark" | | 11 | "flickered" | | 12 | "magnetic" | | 13 | "echoed" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 175 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 1 | | narrationSentences | 175 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 204 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 37 | | totalWords | 1754 | | ratio | 0.021 | | matches | | 0 | "Rites of the Threshold: Portals Between Worlds" | | 1 | "Quinn, you need to see this. It's not what we thought. The case... it's bigger." | | 2 | "They watch from the rifts. The Market knows. Tell Harlow the shadow compass never lies." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 82.32% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 60 | | wordCount | 1256 | | uniqueNames | 12 | | maxNameDensity | 1.35 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Eva" | | discoveredNames | | Harlow | 2 | | Quinn | 17 | | Patel | 12 | | Tube | 2 | | Kowalski | 1 | | Eva | 13 | | Threshold | 1 | | Portals | 1 | | Morris | 4 | | Wapping | 1 | | Veil | 2 | | Market | 4 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Patel" | | 3 | "Kowalski" | | 4 | "Eva" | | 5 | "Morris" | | 6 | "Market" |
| | places | | | globalScore | 0.823 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 100 | | 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 | 1754 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 204 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 74 | | mean | 23.7 | | std | 17.28 | | cv | 0.729 | | sampleLengths | | 0 | 46 | | 1 | 8 | | 2 | 18 | | 3 | 9 | | 4 | 73 | | 5 | 2 | | 6 | 16 | | 7 | 9 | | 8 | 59 | | 9 | 46 | | 10 | 37 | | 11 | 5 | | 12 | 8 | | 13 | 52 | | 14 | 18 | | 15 | 36 | | 16 | 39 | | 17 | 6 | | 18 | 15 | | 19 | 21 | | 20 | 61 | | 21 | 58 | | 22 | 6 | | 23 | 22 | | 24 | 45 | | 25 | 29 | | 26 | 4 | | 27 | 46 | | 28 | 47 | | 29 | 30 | | 30 | 2 | | 31 | 6 | | 32 | 13 | | 33 | 14 | | 34 | 36 | | 35 | 17 | | 36 | 44 | | 37 | 8 | | 38 | 7 | | 39 | 4 | | 40 | 56 | | 41 | 18 | | 42 | 17 | | 43 | 22 | | 44 | 16 | | 45 | 45 | | 46 | 39 | | 47 | 13 | | 48 | 37 | | 49 | 39 |
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| 99.25% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 175 | | matches | | 0 | "been killed" | | 1 | "been deposited" | | 2 | "being involved" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 229 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 204 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1261 | | adjectiveStacks | 1 | | stackExamples | | 0 | "stark against pale skin." |
| | adverbCount | 34 | | adverbRatio | 0.02696272799365583 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.012688342585249802 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 204 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 204 | | mean | 8.6 | | std | 6.55 | | cv | 0.761 | | sampleLengths | | 0 | 18 | | 1 | 21 | | 2 | 7 | | 3 | 1 | | 4 | 7 | | 5 | 9 | | 6 | 9 | | 7 | 9 | | 8 | 13 | | 9 | 7 | | 10 | 6 | | 11 | 15 | | 12 | 8 | | 13 | 24 | | 14 | 2 | | 15 | 7 | | 16 | 7 | | 17 | 2 | | 18 | 9 | | 19 | 8 | | 20 | 39 | | 21 | 12 | | 22 | 8 | | 23 | 7 | | 24 | 21 | | 25 | 8 | | 26 | 2 | | 27 | 18 | | 28 | 15 | | 29 | 1 | | 30 | 3 | | 31 | 5 | | 32 | 8 | | 33 | 3 | | 34 | 13 | | 35 | 7 | | 36 | 18 | | 37 | 7 | | 38 | 4 | | 39 | 11 | | 40 | 7 | | 41 | 6 | | 42 | 30 | | 43 | 5 | | 44 | 14 | | 45 | 7 | | 46 | 13 | | 47 | 2 | | 48 | 4 | | 49 | 4 |
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| 62.09% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.4019607843137255 | | totalSentences | 204 | | uniqueOpeners | 82 | |
| 63.29% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 158 | | matches | | 0 | "Too much of it for" | | 1 | "Instead she moved to the" | | 2 | "Then he sighed." |
| | ratio | 0.019 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 41 | | totalSentences | 158 | | matches | | 0 | "She reached the bottom and" | | 1 | "He glanced up as her" | | 2 | "She ignored the greeting and" | | 3 | "She had suspected the woman" | | 4 | "she said, voice flat" | | 5 | "He gestured at the scene" | | 6 | "She clicked off her torch" | | 7 | "She'd seen similar marks three" | | 8 | "Her left hand found the" | | 9 | "She traced the cracked face" | | 10 | "Its face glowed faintly with" | | 11 | "She picked it up." | | 12 | "They were burns, precise and" | | 13 | "It didn't spread naturally." | | 14 | "It formed a perfect circle" | | 15 | "She had seen this before." | | 16 | "It's not what we thought." | | 17 | "it's bigger.* Then silence." | | 18 | "Her pulse thrummed in her" | | 19 | "She moved toward the tunnel" |
| | ratio | 0.259 | |
| 70.76% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 123 | | totalSentences | 158 | | matches | | 0 | "Detective Harlow Quinn shoved through" | | 1 | "The torch beam sliced the" | | 2 | "She reached the bottom and" | | 3 | "Sergeant Patel crouched beside the" | | 4 | "He glanced up as her" | | 5 | "She ignored the greeting and" | | 6 | "Camden's lost station, sealed since" | | 7 | "A worn leather satchel had" | | 8 | "Quinn's jaw tightened until her" | | 9 | "She had suspected the woman" | | 10 | "she said, voice flat" | | 11 | "Patel straightened, wiping his hands" | | 12 | "He gestured at the scene" | | 13 | "Quinn knelt, careful not to" | | 14 | "The pattern didn't match a" | | 15 | "The heels of Eva's boots" | | 16 | "She clicked off her torch" | | 17 | "The air smelled of iron" | | 18 | "Quinn didn't answer." | | 19 | "*Rites of the Threshold: Portals" |
| | ratio | 0.778 | |
| 31.65% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 158 | | matches | | 0 | "Now the truth stared back" |
| | ratio | 0.006 | |
| 89.29% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 3 | | matches | | 0 | "They were burns, precise and geometric, as if something had seared the skin from the inside." | | 1 | "It formed a perfect circle around the body, edges too clean, as if held in place by invisible walls." | | 2 | "The darkness in the tunnel pressed closer, carrying whispers that might have been trains long departed or something hungrier." |
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| 83.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 1 | | matches | | |
| 76.83% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 3 | | fancyTags | | 0 | "Patel continued (continue)" | | 1 | "she ordered (order)" | | 2 | "she whispered (whisper)" |
| | dialogueSentences | 41 | | tagDensity | 0.122 | | leniency | 0.244 | | rawRatio | 0.6 | | effectiveRatio | 0.146 | |