| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 23 | | tagDensity | 0.391 | | leniency | 0.783 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.08% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 844 | | totalAiIsmAdverbs | 1 | | 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) | |
| 40.76% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 844 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "warmth" | | 1 | "familiar" | | 2 | "eyebrow" | | 3 | "tension" | | 4 | "navigate" | | 5 | "potential" | | 6 | "raced" | | 7 | "delved" | | 8 | "navigated" | | 9 | "sense of" |
| |
| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "couldn't help but" | | count | 2 |
| | 1 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "couldn't help but think" | | 1 | "couldn't help but feel" | | 2 | "hung heavy in the air" |
| |
| 88.77% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 46 | | matches | | 0 | "a sense of pride" | | 1 | "d with relief" |
| |
| 49.69% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 46 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 60 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 839 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 673 | | uniqueNames | 9 | | maxNameDensity | 1.63 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Aurora" | | discoveredNames | | French | 1 | | Aurora | 11 | | Steam | 1 | | Turkish | 1 | | Lucien | 9 | | Moreau | 1 | | Eye | 2 | | Horus | 2 | | Underground | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Steam" | | 2 | "Lucien" | | 3 | "Moreau" | | 4 | "Horus" | | 5 | "Underground" |
| | places | (empty) | | globalScore | 0.683 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | 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 | 839 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 60 | | matches | (empty) | |
| 79.97% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 27 | | mean | 31.07 | | std | 13.36 | | cv | 0.43 | | sampleLengths | | 0 | 26 | | 1 | 29 | | 2 | 27 | | 3 | 29 | | 4 | 17 | | 5 | 11 | | 6 | 22 | | 7 | 38 | | 8 | 62 | | 9 | 24 | | 10 | 51 | | 11 | 21 | | 12 | 34 | | 13 | 16 | | 14 | 17 | | 15 | 18 | | 16 | 52 | | 17 | 12 | | 18 | 27 | | 19 | 42 | | 20 | 33 | | 21 | 41 | | 22 | 38 | | 23 | 36 | | 24 | 54 | | 25 | 43 | | 26 | 19 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 46 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 128 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 60 | | ratio | 0.083 | | matches | | 0 | "The door swung open, revealing a face she hadn't seen in months – okay, five months, twenty-two days, and thirteen hours (not that she was counting)." | | 1 | "As soon as he crossed the threshold, memories flooded back—memories best left forgotten." | | 2 | "She knew she was getting involved in something dangerous—Lucien always seemed to bring chaos into her life." | | 3 | "As they delved deeper into the chamber, Aurora couldn't help but think back to their last adventure together—the one that had ended so disastrously." | | 4 | "They'd done it—saved countless lives and proved once again that they were an unstoppable duo when working together." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 677 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.03840472673559823 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.013293943870014771 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 60 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 60 | | mean | 13.98 | | std | 6.68 | | cv | 0.478 | | sampleLengths | | 0 | 26 | | 1 | 12 | | 2 | 12 | | 3 | 5 | | 4 | 13 | | 5 | 10 | | 6 | 4 | | 7 | 16 | | 8 | 13 | | 9 | 13 | | 10 | 4 | | 11 | 7 | | 12 | 4 | | 13 | 12 | | 14 | 10 | | 15 | 10 | | 16 | 21 | | 17 | 3 | | 18 | 4 | | 19 | 18 | | 20 | 23 | | 21 | 21 | | 22 | 24 | | 23 | 10 | | 24 | 15 | | 25 | 26 | | 26 | 10 | | 27 | 11 | | 28 | 6 | | 29 | 28 | | 30 | 10 | | 31 | 6 | | 32 | 17 | | 33 | 15 | | 34 | 3 | | 35 | 14 | | 36 | 17 | | 37 | 21 | | 38 | 8 | | 39 | 4 | | 40 | 14 | | 41 | 13 | | 42 | 15 | | 43 | 27 | | 44 | 16 | | 45 | 17 | | 46 | 14 | | 47 | 9 | | 48 | 18 | | 49 | 22 |
| |
| 92.78% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.5666666666666667 | | totalSentences | 60 | | uniqueOpeners | 34 | |
| 74.07% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 45 | | matches | | 0 | "Still taken aback by his" |
| | ratio | 0.022 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 45 | | matches | | 0 | "She tried to ignore the" | | 1 | "He leaned against the doorframe," | | 2 | "he purred, his French accent" | | 3 | "He glanced around the room" | | 4 | "His platinum hair glinted under" | | 5 | "His lips quirked into a" | | 6 | "She took a sip of" | | 7 | "She knew she was getting" | | 8 | "she cut him off, not" | | 9 | "He nodded, respecting her wishes" | | 10 | "They spent the rest of" | | 11 | "She shoved the memories aside," | | 12 | "They'd done it—saved countless lives" |
| | ratio | 0.289 | |
| 93.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 33 | | totalSentences | 45 | | matches | | 0 | "The door swung open, revealing" | | 1 | "Aurora breathed, feeling her heart" | | 2 | "She tried to ignore the" | | 3 | "He leaned against the doorframe," | | 4 | "he purred, his French accent" | | 5 | "Lucien said, his voice low" | | 6 | "Aurora raised an eyebrow, intrigued" | | 7 | "He glanced around the room" | | 8 | "The air shifted between them," | | 9 | "Aurora sighed, knowing she should" | | 10 | "An hour later, they were" | | 11 | "The bell above the door" | | 12 | "Steam hissed from the espresso" | | 13 | "Aurora prompted, nodding her thanks" | | 14 | "Lucien leaned forward, clasping his" | | 15 | "His platinum hair glinted under" | | 16 | "Aurora felt her brow furrow" | | 17 | "His lips quirked into a" | | 18 | "She took a sip of" | | 19 | "Aurora bit back a smirk" |
| | ratio | 0.733 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 45 | | matches | | 0 | "As soon as he crossed" | | 1 | "No matter how many times" | | 2 | "Because despite everything, she still" |
| | ratio | 0.067 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 4 | | matches | | 0 | "he purred, his French accent rolling over her name" | | 1 | "Lucien said, his voice low and steady" | | 2 | "Lucien began, his voice uncharacteristically hesitant" | | 3 | "she cut, not wanting to revisit old wounds just yet" |
| |
| 63.04% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "Aurora breathed (breathe)" | | 1 | "Lucien murmured (murmur)" |
| | dialogueSentences | 23 | | tagDensity | 0.13 | | leniency | 0.261 | | rawRatio | 0.667 | | effectiveRatio | 0.174 | |