| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 18 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.78% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 958 | | 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) | |
| 58.25% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 958 | | totalAiIsms | 8 | | found | | 0 | | | 1 | | word | "carried the weight" | | count | 1 |
| | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | |
| | highlights | | 0 | "surreal" | | 1 | "carried the weight" | | 2 | "satin" | | 3 | "stark" | | 4 | "etched" | | 5 | "sanctuary" | | 6 | "complex" | | 7 | "weight" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 2 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 36 | | matches | (empty) | |
| 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 | 45 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 956 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 76.59% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 613 | | uniqueNames | 6 | | maxNameDensity | 1.47 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 3 | | Harlow | 1 | | Quinn | 9 | | Tube | 1 | | Camden | 1 | | Morris | 6 |
| | persons | | 0 | "Detective" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Morris" |
| | places | (empty) | | globalScore | 0.766 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 32 | | 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 | 956 | | matches | (empty) | |
| 92.59% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 45 | | matches | | |
| 40.46% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 18 | | mean | 53.11 | | std | 15.49 | | cv | 0.292 | | sampleLengths | | 0 | 71 | | 1 | 54 | | 2 | 60 | | 3 | 48 | | 4 | 36 | | 5 | 43 | | 6 | 63 | | 7 | 65 | | 8 | 49 | | 9 | 87 | | 10 | 32 | | 11 | 42 | | 12 | 66 | | 13 | 34 | | 14 | 51 | | 15 | 29 | | 16 | 74 | | 17 | 52 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 36 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 89 | | matches | (empty) | |
| 79.37% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 45 | | ratio | 0.022 | | matches | | 0 | "Each move she made was under the eye of a fellow officer, one she recognised despite the crowd of suited figures—mostly plainclothes detectives, all watching her with equal parts curiosity and scepticism." |
| |
| 96.54% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 546 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.04395604395604396 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.016483516483516484 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 45 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 45 | | mean | 21.24 | | std | 10.42 | | cv | 0.491 | | sampleLengths | | 0 | 23 | | 1 | 19 | | 2 | 29 | | 3 | 22 | | 4 | 32 | | 5 | 16 | | 6 | 18 | | 7 | 26 | | 8 | 16 | | 9 | 13 | | 10 | 11 | | 11 | 8 | | 12 | 12 | | 13 | 24 | | 14 | 16 | | 15 | 27 | | 16 | 26 | | 17 | 37 | | 18 | 20 | | 19 | 45 | | 20 | 15 | | 21 | 34 | | 22 | 19 | | 23 | 46 | | 24 | 22 | | 25 | 22 | | 26 | 10 | | 27 | 19 | | 28 | 23 | | 29 | 4 | | 30 | 45 | | 31 | 17 | | 32 | 8 | | 33 | 9 | | 34 | 17 | | 35 | 13 | | 36 | 38 | | 37 | 12 | | 38 | 17 | | 39 | 13 | | 40 | 23 | | 41 | 38 | | 42 | 30 | | 43 | 9 | | 44 | 13 |
| |
| 94.07% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.5777777777777777 | | totalSentences | 45 | | uniqueOpeners | 26 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 34 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 10 | | totalSentences | 34 | | matches | | 0 | "She'd been on the trail" | | 1 | "His presence at the scene" | | 2 | "Her voice carried the weight" | | 3 | "She gently turned the woman's" | | 4 | "She withdrew a small brass" | | 5 | "she said, tapping her finger" | | 6 | "She took a small step" | | 7 | "She knew that the eyes" | | 8 | "She tucked the compass back" | | 9 | "she muttered under her breath" |
| | ratio | 0.294 | |
| 4.12% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 31 | | totalSentences | 34 | | matches | | 0 | "London's underbelly was an old" | | 1 | "She'd been on the trail" | | 2 | "The trail had led here," | | 3 | "Each move she made was" | | 4 | "Detective Quinn kept her gaze" | | 5 | "The body of a young" | | 6 | "The voice came from a" | | 7 | "Detective Morris, the other half" | | 8 | "His presence at the scene" | | 9 | "Her voice carried the weight" | | 10 | "Morris stepped closer to the" | | 11 | "Quinn stifled a wave of" | | 12 | "She gently turned the woman's" | | 13 | "Morris straightened up, his eyes" | | 14 | "A young detective, eager to" | | 15 | "Quinn's eyes narrowed, taking in" | | 16 | "She withdrew a small brass" | | 17 | "she said, tapping her finger" | | 18 | "The crowd of detectives, who" | | 19 | "The air of the underground" |
| | ratio | 0.912 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 34 | | matches | (empty) | | ratio | 0 | |
| 83.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 2 | | matches | | 0 | "Her voice carried the weight of countless crime scenes, as if the memory of each one added a notch to her already quiet demeanour." | | 1 | "The crowd of detectives, who had been observing the scene with a mix of fascination and reserve, stirred with a renewed energy." |
| |
| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 1 | | matches | | 0 | "She took, as if the act of seeing the full picture could refute such a notion" |
| |
| 38.89% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "Quinn retorted (retort)" | | 1 | "she muttered (mutter)" |
| | dialogueSentences | 18 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 0.667 | | effectiveRatio | 0.222 | |