| 69.57% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 3 | | adverbTags | | 0 | "Victoria paced thoughtfully [thoughtfully]" | | 1 | "she called softly [softly]" | | 2 | "Victoria instructed crisply [crisply]" |
| | dialogueSentences | 38 | | tagDensity | 0.605 | | leniency | 1 | | rawRatio | 0.13 | | effectiveRatio | 0.13 | |
| 89.13% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 920 | | 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) | |
| 23.91% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 920 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "tension" | | 1 | "unspoken" | | 2 | "scanned" | | 3 | "chill" | | 4 | "unraveling" | | 5 | "eyebrow" | | 6 | "calculated" | | 7 | "tracing" | | 8 | "etched" | | 9 | "foreboding" | | 10 | "echoed" | | 11 | "silence" | | 12 | "pawn" | | 13 | "loomed" |
| |
| 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 | 62 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 62 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 78 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 912 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 1 | | matches | | 0 | "Stepping somberly, ruminating their nemesis, they concluded silence speaks greater than language." |
| |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 608 | | uniqueNames | 10 | | maxNameDensity | 1.97 | | worstName | "Victoria" | | maxWindowNameDensity | 4 | | worstWindowName | "Victoria" | | discoveredNames | | Spencer | 2 | | Tube | 2 | | Camden | 1 | | Veil | 2 | | Market | 2 | | Davies | 7 | | Victoria | 12 | | Eva | 8 | | Kowalski | 1 | | Shade | 1 |
| | persons | | 0 | "Spencer" | | 1 | "Camden" | | 2 | "Davies" | | 3 | "Victoria" | | 4 | "Eva" | | 5 | "Kowalski" |
| | places | | | globalScore | 0.513 | | windowScore | 0.333 | |
| 87.50% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 40 | | glossingSentenceCount | 1 | | matches | | 0 | "As if hearing her, destiny intervened in the form of a grim foreboding, echoed down the corridor by faint murmurs" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 912 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 78 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 25.33 | | std | 16.07 | | cv | 0.635 | | sampleLengths | | 0 | 69 | | 1 | 50 | | 2 | 25 | | 3 | 25 | | 4 | 4 | | 5 | 40 | | 6 | 35 | | 7 | 56 | | 8 | 10 | | 9 | 23 | | 10 | 34 | | 11 | 14 | | 12 | 25 | | 13 | 29 | | 14 | 8 | | 15 | 53 | | 16 | 21 | | 17 | 37 | | 18 | 13 | | 19 | 17 | | 20 | 17 | | 21 | 17 | | 22 | 23 | | 23 | 16 | | 24 | 17 | | 25 | 12 | | 26 | 57 | | 27 | 16 | | 28 | 30 | | 29 | 8 | | 30 | 44 | | 31 | 11 | | 32 | 10 | | 33 | 14 | | 34 | 6 | | 35 | 26 |
| |
| 88.29% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 62 | | matches | | 0 | "was supposed" | | 1 | "were covered" | | 2 | "were torn" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 118 | | matches | (empty) | |
| 69.60% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 78 | | ratio | 0.026 | | matches | | 0 | "A bone token—desecrated, split in two—lay just inches from his outstretched hand." | | 1 | "Her spine shivered—just the beginning?" |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 358 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 7 | | adverbRatio | 0.019553072625698324 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.01675977653631285 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 78 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 78 | | mean | 11.69 | | std | 6.15 | | cv | 0.526 | | sampleLengths | | 0 | 18 | | 1 | 20 | | 2 | 22 | | 3 | 9 | | 4 | 7 | | 5 | 12 | | 6 | 24 | | 7 | 7 | | 8 | 14 | | 9 | 11 | | 10 | 4 | | 11 | 21 | | 12 | 4 | | 13 | 20 | | 14 | 20 | | 15 | 18 | | 16 | 17 | | 17 | 13 | | 18 | 19 | | 19 | 12 | | 20 | 12 | | 21 | 10 | | 22 | 13 | | 23 | 10 | | 24 | 5 | | 25 | 17 | | 26 | 9 | | 27 | 3 | | 28 | 14 | | 29 | 14 | | 30 | 11 | | 31 | 9 | | 32 | 12 | | 33 | 8 | | 34 | 7 | | 35 | 1 | | 36 | 17 | | 37 | 36 | | 38 | 5 | | 39 | 12 | | 40 | 4 | | 41 | 16 | | 42 | 21 | | 43 | 5 | | 44 | 8 | | 45 | 11 | | 46 | 6 | | 47 | 11 | | 48 | 6 | | 49 | 6 |
| |
| 93.59% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5769230769230769 | | totalSentences | 78 | | uniqueOpeners | 45 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 54 | | matches | | 0 | "Instead, this kind of commotion" | | 1 | "Indeed, the delicate swirls of" |
| | ratio | 0.037 | |
| 86.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 54 | | matches | | 0 | "It was Davies, the officer" | | 1 | "His salt-and-pepper beard looked even" | | 2 | "She nodded a curt greeting," | | 3 | "He trailed off, leaving the" | | 4 | "He led her through the" | | 5 | "They entered a small, dimly" | | 6 | "His clothes were torn, likely" | | 7 | "She crouched and felt the" | | 8 | "she asked, her voice a" | | 9 | "It was an entry pass" | | 10 | "she asked, standing and piercing" | | 11 | "He stifled a dry chuckle" | | 12 | "she said, offering up a" | | 13 | "She turned to Eva, seeking" | | 14 | "She crouched, tracing the bloody" | | 15 | "Her fingertips touched the sigil" | | 16 | "she called softly" | | 17 | "Her spine shivered—just the beginning?" |
| | ratio | 0.333 | |
| 34.07% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 46 | | totalSentences | 54 | | matches | | 0 | "Victoria Spencer forced her way" | | 1 | "The abandoned Tube station beneath" | | 2 | "The Veil Market was supposed" | | 3 | "a gruff voice called out" | | 4 | "It was Davies, the officer" | | 5 | "His salt-and-pepper beard looked even" | | 6 | "Victoria approached him, ignoring the" | | 7 | "She nodded a curt greeting," | | 8 | "He trailed off, leaving the" | | 9 | "He led her through the" | | 10 | "They entered a small, dimly" | | 11 | "A lifeless body lay sprawled" | | 12 | "His clothes were torn, likely" | | 13 | "Detective Spencer’s sharp eyes scanned" | | 14 | "The young man’s fingers were" | | 15 | "A bone token—desecrated, split in" | | 16 | "She crouched and felt the" | | 17 | "she asked, her voice a" | | 18 | "Davies answered, rubbing the back" | | 19 | "Victoria studied the bone token." |
| | ratio | 0.852 | |
| 92.59% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 54 | | matches | | 0 | "As if hearing her, destiny" |
| | ratio | 0.019 | |
| 60.44% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 3 | | matches | | 0 | "His clothes were torn, likely during the struggle, revealing bruises that foreshadowed the manner of his death." | | 1 | "The young man’s fingers were bent unnaturally, as if he had been gripping something tight in his final moments." | | 2 | "As if hearing her, destiny intervened in the form of a grim foreboding, echoed down the corridor by faint murmurs." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 1 | | matches | | 0 | "she asked, her voice a low murmur" |
| |
| 18.42% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 5 | | fancyTags | | 0 | "Davies muttered (mutter)" | | 1 | "a new voice interrupted (interrupt)" | | 2 | "Victoria corrected (correct)" | | 3 | "Eva speculated (speculate)" | | 4 | "Victoria pressed (press)" |
| | dialogueSentences | 38 | | tagDensity | 0.289 | | leniency | 0.579 | | rawRatio | 0.455 | | effectiveRatio | 0.263 | |