| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 21 | | tagDensity | 0.571 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 629 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 629 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "echoed" | | 1 | "oppressive" | | 2 | "silence" | | 3 | "scanned" | | 4 | "stark" | | 5 | "etched" | | 6 | "pristine" | | 7 | "pulse" | | 8 | "familiar" | | 9 | "weight" | | 10 | "trembled" | | 11 | "reminder" | | 12 | "unwavering" |
| |
| 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 | 35 | | matches | (empty) | |
| 0.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 1 | | narrationSentences | 35 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 44 | | 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 | 628 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 27.72% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 368 | | uniqueNames | 9 | | maxNameDensity | 2.45 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Camden | 1 | | Harlow | 1 | | Quinn | 9 | | Kowalski | 1 | | Eva | 7 | | Compass | 1 | | Veil | 1 | | Market | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Kowalski" | | 3 | "Eva" | | 4 | "Compass" | | 5 | "Market" |
| | places | (empty) | | globalScore | 0.277 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 26 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 40.76% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.592 | | wordCount | 628 | | matches | | 0 | "not towards a direction, but towards the shimmering air" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 44 | | matches | (empty) | |
| 13.34% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 10 | | mean | 62.8 | | std | 12.35 | | cv | 0.197 | | sampleLengths | | 0 | 83 | | 1 | 70 | | 2 | 60 | | 3 | 51 | | 4 | 54 | | 5 | 73 | | 6 | 60 | | 7 | 78 | | 8 | 41 | | 9 | 58 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 35 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 64 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 369 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 12 | | adverbRatio | 0.032520325203252036 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.01084010840108401 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 44 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 44 | | mean | 14.27 | | std | 8.31 | | cv | 0.582 | | sampleLengths | | 0 | 12 | | 1 | 17 | | 2 | 23 | | 3 | 20 | | 4 | 11 | | 5 | 9 | | 6 | 24 | | 7 | 21 | | 8 | 16 | | 9 | 8 | | 10 | 36 | | 11 | 16 | | 12 | 4 | | 13 | 25 | | 14 | 22 | | 15 | 4 | | 16 | 11 | | 17 | 31 | | 18 | 8 | | 19 | 6 | | 20 | 9 | | 21 | 15 | | 22 | 7 | | 23 | 7 | | 24 | 5 | | 25 | 4 | | 26 | 14 | | 27 | 6 | | 28 | 6 | | 29 | 32 | | 30 | 22 | | 31 | 6 | | 32 | 9 | | 33 | 14 | | 34 | 7 | | 35 | 19 | | 36 | 23 | | 37 | 15 | | 38 | 26 | | 39 | 4 | | 40 | 17 | | 41 | 20 | | 42 | 9 | | 43 | 8 |
| |
| 46.21% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.38636363636363635 | | totalSentences | 44 | | uniqueOpeners | 17 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 35 | | matches | (empty) | | ratio | 0 | |
| 48.57% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 35 | | matches | | 0 | "Her worn leather watch ticked" | | 1 | "She gestured towards the figure" | | 2 | "She pulled a small, worn" | | 3 | "She crouched, examining the ground" | | 4 | "She trailed off, her eyes" | | 5 | "She pointed towards a faint," | | 6 | "Her own worn leather watch" | | 7 | "She reached into her pocket," | | 8 | "she said, her voice tight" | | 9 | "She activated the small device" | | 10 | "It didn’t point north." | | 11 | "It trembled violently, then settled," | | 12 | "She gestured at the body" | | 13 | "She straightened, the weight of" | | 14 | "She turned to Eva, her" |
| | ratio | 0.429 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 35 | | totalSentences | 35 | | matches | | 0 | "The abandoned Tube station at" | | 1 | "Detective Harlow Quinn’s polished boots" | | 2 | "Her worn leather watch ticked" | | 3 | "Eva Kowalski stood nearby, her" | | 4 | "Eva’s satchel, worn leather bulging" | | 5 | "Quinn murmured, her voice low" | | 6 | "She gestured towards the figure" | | 7 | "The man’s face was slack," | | 8 | "Eva knelt, her fingers brushing" | | 9 | "She pulled a small, worn" | | 10 | "Quinn’s sharp jaw tightened." | | 11 | "She crouched, examining the ground" | | 12 | "Eva’s freckled nose wrinkled." | | 13 | "She trailed off, her eyes" | | 14 | "She pointed towards a faint," | | 15 | "Quinn’s gaze snapped to the" | | 16 | "Her own worn leather watch" | | 17 | "She reached into her pocket," | | 18 | "she said, her voice tight" | | 19 | "She activated the small device" |
| | ratio | 1 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 35 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 12 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 6 | | matches | | 0 | "Quinn murmured, her voice low and controlled" | | 1 | "She trailed, her eyes darting around the cavernous space" | | 2 | "she said, her voice tight" | | 3 | "Eva breathed, her voice hushed" | | 4 | "Quinn whispered, the realization dawning" | | 5 | "She straightened, the weight of the Compass still humming in her pocket" |
| |
| 7.14% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 3 | | fancyTags | | 0 | "Quinn murmured (murmur)" | | 1 | "Eva breathed (breathe)" | | 2 | "Quinn whispered (whisper)" |
| | dialogueSentences | 21 | | tagDensity | 0.19 | | leniency | 0.381 | | rawRatio | 0.75 | | effectiveRatio | 0.286 | |