| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 1 | | adverbTags | | 0 | "Quinn's eyes darted around [around]" |
| | dialogueSentences | 22 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.091 | | effectiveRatio | 0.091 | |
| 89.07% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1372 | | totalAiIsmAdverbs | 3 | | 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) | |
| 5.25% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1372 | | totalAiIsms | 26 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | |
| | highlights | | 0 | "echoing" | | 1 | "depths" | | 2 | "gloom" | | 3 | "quickened" | | 4 | "determined" | | 5 | "churning" | | 6 | "stomach" | | 7 | "clenching" | | 8 | "streaming" | | 9 | "cascading" | | 10 | "sense of" | | 11 | "reminder" | | 12 | "otherworldly" | | 13 | "weight" | | 14 | "echoed" | | 15 | "roaring" | | 16 | "raced" | | 17 | "uncanny" | | 18 | "silence" | | 19 | "echo" | | 20 | "mechanical" | | 21 | "whisper" | | 22 | "dance" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "flicker of emotion" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "a spark of anger" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 89 | | matches | | |
| 14.45% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 8 | | narrationSentences | 89 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "began to" | | 2 | "appeared to" |
| |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 99 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1369 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 1186 | | uniqueNames | 11 | | maxNameDensity | 1.52 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 1 | | Harlow | 3 | | Quinn | 18 | | London | 1 | | Despite | 1 | | Morris | 1 | | Hell | 1 | | Camden | 1 | | Waterloo | 1 | | Tomás | 1 | | Herrera | 1 |
| | persons | | 0 | "Detective" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Morris" | | 4 | "Tomás" | | 5 | "Herrera" |
| | places | | | globalScore | 0.741 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 80 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.191 | | wordCount | 1369 | | matches | | 0 | "no choice but" | | 1 | "not only more of those foul shadows along the ancient walls but also what appeared to be curious onlookers peering out to wi" | | 2 | "not only their fearful, pitiful faces, but the growing swirl of shadows" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 99 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 48.89 | | std | 28.6 | | cv | 0.585 | | sampleLengths | | 0 | 75 | | 1 | 14 | | 2 | 69 | | 3 | 54 | | 4 | 27 | | 5 | 19 | | 6 | 49 | | 7 | 24 | | 8 | 24 | | 9 | 44 | | 10 | 35 | | 11 | 36 | | 12 | 29 | | 13 | 69 | | 14 | 102 | | 15 | 95 | | 16 | 50 | | 17 | 24 | | 18 | 70 | | 19 | 2 | | 20 | 66 | | 21 | 66 | | 22 | 75 | | 23 | 41 | | 24 | 84 | | 25 | 104 | | 26 | 18 | | 27 | 4 |
| |
| 89.49% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 89 | | matches | | 0 | "was blocked" | | 1 | "was shrouded" | | 2 | "were adorned" | | 3 | "was filled" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 210 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 99 | | ratio | 0 | | matches | (empty) | |
| 93.79% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1189 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 56 | | adverbRatio | 0.04709840201850295 | | lyAdverbCount | 20 | | lyAdverbRatio | 0.01682085786375105 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 99 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 99 | | mean | 13.83 | | std | 6.74 | | cv | 0.487 | | sampleLengths | | 0 | 17 | | 1 | 24 | | 2 | 15 | | 3 | 19 | | 4 | 10 | | 5 | 4 | | 6 | 11 | | 7 | 21 | | 8 | 10 | | 9 | 15 | | 10 | 12 | | 11 | 14 | | 12 | 24 | | 13 | 11 | | 14 | 5 | | 15 | 5 | | 16 | 20 | | 17 | 2 | | 18 | 8 | | 19 | 11 | | 20 | 21 | | 21 | 13 | | 22 | 15 | | 23 | 16 | | 24 | 8 | | 25 | 8 | | 26 | 16 | | 27 | 10 | | 28 | 34 | | 29 | 13 | | 30 | 22 | | 31 | 14 | | 32 | 22 | | 33 | 14 | | 34 | 8 | | 35 | 7 | | 36 | 15 | | 37 | 20 | | 38 | 10 | | 39 | 13 | | 40 | 11 | | 41 | 11 | | 42 | 7 | | 43 | 11 | | 44 | 6 | | 45 | 23 | | 46 | 7 | | 47 | 8 | | 48 | 4 | | 49 | 4 |
| |
| 89.90% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.5454545454545454 | | totalSentences | 99 | | uniqueOpeners | 54 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 87 | | matches | | 0 | "Instantly, the water streaming down" | | 1 | "Perhaps her missing partner, DS" | | 2 | "Everywhere there was only darkness" | | 3 | "Perhaps, after all, the world" | | 4 | "Then, she saw him: the" | | 5 | "Finally, a whisper of resignation" |
| | ratio | 0.069 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 87 | | matches | | 0 | "She quickened her pace, determined" | | 1 | "she called out, her voice" | | 2 | "His face was shrouded in" | | 3 | "she replied, her voice steady" | | 4 | "he said, his arm sweeping" | | 5 | "His dismissive attitude towards her" | | 6 | "Her world around her shrunk" | | 7 | "She had never felt this" | | 8 | "She had dismissed the supernatural" | | 9 | "His dark eyes gleamed with" | | 10 | "They spoke without a word," | | 11 | "Her grip tightened, her muscle" | | 12 | "She thrust her chin up," | | 13 | "Their mere presence sliced through" | | 14 | "His dark clothing rippled, revealing" | | 15 | "He raised a pale bone" | | 16 | "It was Tomás Herrera." |
| | ratio | 0.195 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 87 | | matches | | 0 | "Thunder cracked overhead, echoing through" | | 1 | "The pursuit had begun in" | | 2 | "Quinn's damp clothing clung to" | | 3 | "The further they descended, the" | | 4 | "Quinn shouted, her voice reverberating" | | 5 | "The figure ahead dodged around" | | 6 | "Quinn rounded the bend, catching" | | 7 | "She quickened her pace, determined" | | 8 | "The door creaked open, revealing" | | 9 | "she called out, her voice" | | 10 | "His face was shrouded in" | | 11 | "The deep, commanding voice seemed" | | 12 | "Quinn paused, her eyes narrowing." | | 13 | "she replied, her voice steady" | | 14 | "A low chuckle emanated from" | | 15 | "Quinn's eyes darted around, taking" | | 16 | "The chamber's walls were adorned" | | 17 | "The air was filled with" | | 18 | "the figure said, his voice" | | 19 | "Quinn took a step forward," |
| | ratio | 0.678 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 87 | | matches | | 0 | "But, as the thunderclap faded," | | 1 | "But, with seconds leaking away," | | 2 | "Though their gazes avoided hers," |
| | ratio | 0.034 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 5 | | matches | | 0 | "Quinn shouted, her voice reverberating off the concrete walls" | | 1 | "she called out, her voice carrying an edge" | | 2 | "she replied, her voice steady despite the churning in her stomach" | | 3 | "the figure said, his voice carrying a hint of amusement" | | 4 | "he said, his arm sweeping upwards," |
| |
| 13.64% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 3 | | fancyTags | | 0 | "Quinn shouted (shout)" | | 1 | "she called out (call out)" | | 2 | "The figure laughed (laugh)" |
| | dialogueSentences | 22 | | tagDensity | 0.318 | | leniency | 0.636 | | rawRatio | 0.429 | | effectiveRatio | 0.273 | |