| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 9 | | tagDensity | 0.444 | | leniency | 0.889 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 688 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 70.93% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 688 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "sense of" | | 1 | "fleeting" | | 2 | "navigate" | | 3 | "stark" |
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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 | 49 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 49 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 77.91% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 54 | | gibberishSentences | 2 | | adjustedGibberishSentences | 2 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 2 | | maxSentenceWordsSeen | 41 | | ratio | 0.037 | | matches | | 0 | "Red and blue lights bounced against the bruises on __________'s shredded face." | | 1 | "________ understood his twisted role, using our knowledge of herbs and natural remedies in ways meant to heal but instead hindered, controlled." |
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| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 6 | | markdownWords | 6 | | totalWords | 688 | | ratio | 0.009 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 98.01% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 577 | | uniqueNames | 9 | | maxNameDensity | 1.04 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | North | 1 | | Camden | 1 | | Morse | 1 | | Veil | 1 | | Compass | 1 | | Aurora | 1 | | Persian | 1 | | American | 1 | | Quinn | 6 |
| | persons | | | places | | | globalScore | 0.98 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 37 | | 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 | 688 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 54 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 18 | | mean | 38.22 | | std | 22.7 | | cv | 0.594 | | sampleLengths | | 0 | 93 | | 1 | 4 | | 2 | 47 | | 3 | 51 | | 4 | 24 | | 5 | 48 | | 6 | 36 | | 7 | 76 | | 8 | 35 | | 9 | 7 | | 10 | 24 | | 11 | 57 | | 12 | 55 | | 13 | 41 | | 14 | 37 | | 15 | 13 | | 16 | 19 | | 17 | 21 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 49 | | matches | (empty) | |
| 71.79% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 104 | | matches | | 0 | "was seeing" | | 1 | "were recruiting" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 54 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 580 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 12 | | adverbRatio | 0.020689655172413793 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.005172413793103448 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 54 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 54 | | mean | 12.74 | | std | 8.43 | | cv | 0.662 | | sampleLengths | | 0 | 32 | | 1 | 16 | | 2 | 7 | | 3 | 25 | | 4 | 13 | | 5 | 4 | | 6 | 12 | | 7 | 14 | | 8 | 7 | | 9 | 7 | | 10 | 7 | | 11 | 18 | | 12 | 17 | | 13 | 16 | | 14 | 12 | | 15 | 12 | | 16 | 5 | | 17 | 15 | | 18 | 10 | | 19 | 18 | | 20 | 4 | | 21 | 5 | | 22 | 4 | | 23 | 11 | | 24 | 5 | | 25 | 7 | | 26 | 10 | | 27 | 12 | | 28 | 26 | | 29 | 19 | | 30 | 5 | | 31 | 4 | | 32 | 21 | | 33 | 5 | | 34 | 9 | | 35 | 7 | | 36 | 14 | | 37 | 10 | | 38 | 20 | | 39 | 37 | | 40 | 14 | | 41 | 41 | | 42 | 10 | | 43 | 9 | | 44 | 22 | | 45 | 20 | | 46 | 13 | | 47 | 4 | | 48 | 2 | | 49 | 1 |
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| 94.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.6111111111111112 | | totalSentences | 54 | | uniqueOpeners | 33 | |
| 70.92% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 47 | | matches | | 0 | "Always trust the eye, not" |
| | ratio | 0.021 | |
| 66.81% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 47 | | matches | | 0 | "I was here for something" | | 1 | "My heightened sense of smell" | | 2 | "She ran a hand over" | | 3 | "I'd never seen her like" | | 4 | "I asked, acknowledging that I" | | 5 | "It had all shaken my" | | 6 | "I rose from my duffel" | | 7 | "Her twisted approach to accuracy." | | 8 | "I stepped to the center" | | 9 | "I played the scene in" | | 10 | "He wasn't the target." | | 11 | "She moved slower, this case" | | 12 | "I pointed, not wanting to" | | 13 | "I pulled out a stapled" | | 14 | "I held out the handout," | | 15 | "We'd seen how they were" | | 16 | "she said, tucking the paper" | | 17 | "I watched her go, not" |
| | ratio | 0.383 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 30 | | totalSentences | 47 | | matches | | 0 | "The flickering neon light at" | | 1 | "The sign informed the public" | | 2 | "I was here for something" | | 3 | "My heightened sense of smell" | | 4 | "Nuhfakh, I thought, beelining it" | | 5 | "Quinn, my latest supervisor, stood" | | 6 | "She ran a hand over" | | 7 | "I'd never seen her like" | | 8 | "Quinn stepped closer to me" | | 9 | "I asked, acknowledging that I" | | 10 | "It had all shaken my" | | 11 | "Quinn said and wiped a" | | 12 | "That was all I needed." | | 13 | "I rose from my duffel" | | 14 | "Finger brushing against the compartment" | | 15 | "A tool that helped me" | | 16 | "Her twisted approach to accuracy." | | 17 | "I stepped to the center" | | 18 | "I played the scene in" | | 19 | "He wasn't the target." |
| | ratio | 0.638 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 47 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 9 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |