| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 1 | | adverbTags | | 0 | "Quinn nodded slowly. [slowly]" |
| | dialogueSentences | 25 | | tagDensity | 0.68 | | leniency | 1 | | rawRatio | 0.059 | | effectiveRatio | 0.059 | |
| 74.62% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 591 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "completely" | | 1 | "very" | | 2 | "slowly" |
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| 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) | |
| 49.24% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 591 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "scanning" | | 1 | "furrowed" | | 2 | "glinting" | | 3 | "etched" | | 4 | "furrowing" | | 5 | "shimmered" |
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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 | 1 | | narrationSentences | 36 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 36 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 39 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 590 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 62.28% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 9 | | wordCount | 399 | | uniqueNames | 3 | | maxNameDensity | 1.75 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 0.623 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 27 | | 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 | 590 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 39 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 1 | | mean | 0 | | std | 0 | | cv | 0 | | sampleLengths | | |
| 85.77% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 36 | | matches | | 0 | "was caught" | | 1 | "was etched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 78 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 279 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 5 | | adverbRatio | 0.017921146953405017 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.010752688172043012 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 39 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 39 | | mean | 15.13 | | std | 10.51 | | cv | 0.695 | | sampleLengths | | 0 | 18 | | 1 | 7 | | 2 | 9 | | 3 | 7 | | 4 | 17 | | 5 | 4 | | 6 | 13 | | 7 | 6 | | 8 | 5 | | 9 | 11 | | 10 | 20 | | 11 | 18 | | 12 | 27 | | 13 | 26 | | 14 | 11 | | 15 | 4 | | 16 | 4 | | 17 | 15 | | 18 | 14 | | 19 | 13 | | 20 | 42 | | 21 | 21 | | 22 | 4 | | 23 | 7 | | 24 | 29 | | 25 | 18 | | 26 | 7 | | 27 | 44 | | 28 | 13 | | 29 | 1 | | 30 | 16 | | 31 | 8 | | 32 | 10 | | 33 | 41 | | 34 | 19 | | 35 | 11 | | 36 | 10 | | 37 | 12 | | 38 | 28 |
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| 100.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.717948717948718 | | totalSentences | 39 | | uniqueOpeners | 28 | |
| 95.24% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 35 | | matches | | 0 | "Once you cross the barrier," |
| | ratio | 0.029 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 5 | | totalSentences | 35 | | matches | | 0 | "He bled out right" | | 1 | "Our vic has no defensive" | | 2 | "She returned to the barrier," | | 3 | "She reached into her pocket," | | 4 | "It's a whole other world," |
| | ratio | 0.143 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 24 | | totalSentences | 35 | | matches | | 0 | "Detective Harlow Quinn stood at" | | 1 | "The flickering crime scene lights" | | 2 | "DMcIver crouched down beside the" | | 3 | "Victim is male, thirties." | | 4 | "Wounds show no sign of" | | 5 | "He bled out right" | | 6 | "Quinn walked over, eyes scanning" | | 7 | "Our vic has no defensive" | | 8 | "That's some heavyweight mojo." | | 9 | "Quinn shook her head, brow" | | 10 | "Something tells me our vic" | | 11 | "The detectives spread out, rummaging" | | 12 | "Quinn muttered, feeling the hair" | | 13 | "Tracks supernatural energy sources." | | 14 | "D_IDon't tell me this is" | | 15 | "She returned to the barrier," | | 16 | "DMcIver rejoined her, holding a" | | 17 | "Some type of invite, mentioning" | | 18 | "Quinn took the paper, brow" | | 19 | "DMcIver paled, glancing back at" |
| | ratio | 0.686 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 35 | | matches | | | ratio | 0.029 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 10 | | technicalSentenceCount | 1 | | matches | | 0 | "As if on cue, the barrier shimmered, opening like a door SHE'll take a deep breath and step through, the veil closing behind her, enveloping her in shadows..." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 30.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 3 | | fancyTags | | 0 | "Quinn muttered (mutter)" | | 1 | "DMcIver rejoined (rejoin)" | | 2 | "invite mentioning (invite mention)" |
| | dialogueSentences | 25 | | tagDensity | 0.12 | | leniency | 0.24 | | rawRatio | 1 | | effectiveRatio | 0.24 | |