| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 23 | | tagDensity | 0.261 | | leniency | 0.522 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 85.47% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 688 | | 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) | |
| 34.59% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 688 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "shattered" | | 1 | "glint" | | 2 | "etched" | | 3 | "trembled" | | 4 | "magnetic" | | 5 | "pulsed" | | 6 | "pulse" | | 7 | "warmth" |
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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) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 57 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 72 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 23 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 679 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 544 | | uniqueNames | 3 | | maxNameDensity | 1.84 | | worstName | "Carter" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Carter" | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 0.581 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 35 | | 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 | 679 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 72 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 24.25 | | std | 17.78 | | cv | 0.733 | | sampleLengths | | 0 | 57 | | 1 | 11 | | 2 | 32 | | 3 | 48 | | 4 | 1 | | 5 | 60 | | 6 | 10 | | 7 | 20 | | 8 | 29 | | 9 | 5 | | 10 | 35 | | 11 | 14 | | 12 | 34 | | 13 | 11 | | 14 | 10 | | 15 | 5 | | 16 | 42 | | 17 | 24 | | 18 | 14 | | 19 | 42 | | 20 | 1 | | 21 | 37 | | 22 | 57 | | 23 | 12 | | 24 | 12 | | 25 | 12 | | 26 | 38 | | 27 | 6 |
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| 86.80% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 57 | | matches | | 0 | "was frozen" | | 1 | "were clenched" | | 2 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 95 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 72 | | ratio | 0.083 | | matches | | 0 | "The abandoned Tube station reeked of damp concrete and something older—something that clung to the back of Quinn’s throat like rust." | | 1 | "She crouched, brushing her fingers over the object—a brass compass, its face etched with strange symbols." | | 2 | "They were clenched around something—a small, smooth stone, its surface carved with the same symbols as the compass." | | 3 | "Something caught her eye—a faint, shimmering line in the air, like heat haze, but colder." | | 4 | "Her fingers brushed the haze—and for a split second, the world *shifted*." | | 5 | "The compass in her other hand pulsed again, the needle spinning wildly before settling on the same point—just beyond the platform’s edge." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 553 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.0379746835443038 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.012658227848101266 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 72 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 72 | | mean | 9.43 | | std | 6.11 | | cv | 0.647 | | sampleLengths | | 0 | 21 | | 1 | 22 | | 2 | 14 | | 3 | 11 | | 4 | 4 | | 5 | 15 | | 6 | 13 | | 7 | 3 | | 8 | 16 | | 9 | 16 | | 10 | 2 | | 11 | 11 | | 12 | 1 | | 13 | 11 | | 14 | 14 | | 15 | 15 | | 16 | 20 | | 17 | 5 | | 18 | 5 | | 19 | 8 | | 20 | 12 | | 21 | 11 | | 22 | 18 | | 23 | 5 | | 24 | 22 | | 25 | 6 | | 26 | 7 | | 27 | 3 | | 28 | 11 | | 29 | 7 | | 30 | 15 | | 31 | 12 | | 32 | 6 | | 33 | 5 | | 34 | 5 | | 35 | 5 | | 36 | 4 | | 37 | 1 | | 38 | 9 | | 39 | 2 | | 40 | 3 | | 41 | 4 | | 42 | 20 | | 43 | 2 | | 44 | 2 | | 45 | 7 | | 46 | 17 | | 47 | 3 | | 48 | 11 | | 49 | 3 |
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| 56.02% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.3611111111111111 | | totalSentences | 72 | | uniqueOpeners | 26 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 51 | | matches | | 0 | "Instead, she stepped closer to" | | 1 | "Then, just as quickly, the" | | 2 | "Somewhere in the dark, something" |
| | ratio | 0.059 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 51 | | matches | | 0 | "Her torch cut through the" | | 1 | "she called, her voice sharp" | | 2 | "He stood near the station’s" | | 3 | "She crouched, brushing her fingers" | | 4 | "She ignored him, standing and" | | 5 | "His face was frozen in" | | 6 | "They were clenched around something—a" | | 7 | "She jerked back, her breath" | | 8 | "She pointed her torch at" | | 9 | "She stood, her torch sweeping" | | 10 | "It stretched from the body" | | 11 | "She didn’t respond." | | 12 | "Her fingers brushed the haze—and" | | 13 | "She turned, her face pale." | | 14 | "She pulled her phone from" |
| | ratio | 0.294 | |
| 38.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 43 | | totalSentences | 51 | | matches | | 0 | "The abandoned Tube station reeked" | | 1 | "Her torch cut through the" | | 2 | "The beam caught the glint" | | 3 | "she called, her voice sharp" | | 4 | "DS Carter didn’t move." | | 5 | "He stood near the station’s" | | 6 | "Quinn didn’t answer." | | 7 | "She crouched, brushing her fingers" | | 8 | "The needle trembled, then spun" | | 9 | "She ignored him, standing and" | | 10 | "The torchlight revealed a body" | | 11 | "A man, mid-thirties, dressed in" | | 12 | "His face was frozen in" | | 13 | "Carter muttered, finally moving" | | 14 | "Quinn didn’t take her eyes" | | 15 | "Carter crouched beside her, his" | | 16 | "They were clenched around something—a" | | 17 | "Quinn reached for it, but" | | 18 | "She jerked back, her breath" | | 19 | "The stone pulsed faintly, like" |
| | ratio | 0.843 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 51 | | matches | (empty) | | ratio | 0 | |
| 83.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 2 | | matches | | 0 | "The abandoned Tube station reeked of damp concrete and something older—something that clung to the back of Quinn’s throat like rust." | | 1 | "His face was frozen in an expression of sheer terror, eyes wide, mouth open as if he’d tried to scream." |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 1 | | matches | | 0 | "she called, her voice sharp in the hollow space" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | 0 | "Carter muttered (mutter)" |
| | dialogueSentences | 23 | | tagDensity | 0.174 | | leniency | 0.348 | | rawRatio | 0.25 | | effectiveRatio | 0.087 | |