| 91.89% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 2 | | adverbTags | | 0 | "Quinn turned away [away]" | | 1 | "Davies's voice echoed hollowly [hollowly]" |
| | dialogueSentences | 37 | | tagDensity | 0.486 | | leniency | 0.973 | | rawRatio | 0.111 | | effectiveRatio | 0.108 | |
| 86.70% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 752 | | 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) | |
| 33.51% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 752 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "etched" | | 1 | "pulsed" | | 2 | "measured" | | 3 | "weight" | | 4 | "scanning" | | 5 | "echoed" | | 6 | "gloom" | | 7 | "flicked" | | 8 | "mechanical" |
| |
| 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 | 33 | | matches | (empty) | |
| 56.28% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 33 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 52 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 753 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 462 | | uniqueNames | 8 | | maxNameDensity | 3.9 | | worstName | "Quinn" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 18 | | Tube | 1 | | Camden | 1 | | Davies | 4 | | London | 1 | | Kowalski | 1 | | Eva | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Camden" | | 3 | "Davies" | | 4 | "Kowalski" | | 5 | "Eva" |
| | places | | | globalScore | 0 | | windowScore | 0 | |
| 69.35% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 31 | | glossingSentenceCount | 1 | | matches | | 0 | "smelled like damp concrete and ozone" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 753 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 52 | | matches | (empty) | |
| 91.79% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 19.82 | | std | 9.34 | | cv | 0.471 | | sampleLengths | | 0 | 24 | | 1 | 12 | | 2 | 14 | | 3 | 22 | | 4 | 6 | | 5 | 17 | | 6 | 22 | | 7 | 35 | | 8 | 23 | | 9 | 35 | | 10 | 14 | | 11 | 36 | | 12 | 9 | | 13 | 33 | | 14 | 17 | | 15 | 13 | | 16 | 13 | | 17 | 26 | | 18 | 3 | | 19 | 18 | | 20 | 11 | | 21 | 17 | | 22 | 17 | | 23 | 21 | | 24 | 10 | | 25 | 11 | | 26 | 24 | | 27 | 17 | | 28 | 15 | | 29 | 17 | | 30 | 31 | | 31 | 25 | | 32 | 5 | | 33 | 21 | | 34 | 34 | | 35 | 14 | | 36 | 42 | | 37 | 29 |
| |
| 94.63% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 33 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 69 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 52 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 464 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 11 | | adverbRatio | 0.023706896551724137 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.017241379310344827 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 52 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 52 | | mean | 14.48 | | std | 6.33 | | cv | 0.437 | | sampleLengths | | 0 | 24 | | 1 | 12 | | 2 | 14 | | 3 | 10 | | 4 | 12 | | 5 | 6 | | 6 | 17 | | 7 | 22 | | 8 | 23 | | 9 | 12 | | 10 | 12 | | 11 | 11 | | 12 | 21 | | 13 | 14 | | 14 | 14 | | 15 | 19 | | 16 | 17 | | 17 | 9 | | 18 | 24 | | 19 | 4 | | 20 | 5 | | 21 | 17 | | 22 | 6 | | 23 | 7 | | 24 | 13 | | 25 | 19 | | 26 | 7 | | 27 | 3 | | 28 | 18 | | 29 | 11 | | 30 | 17 | | 31 | 9 | | 32 | 8 | | 33 | 21 | | 34 | 10 | | 35 | 11 | | 36 | 24 | | 37 | 17 | | 38 | 15 | | 39 | 17 | | 40 | 13 | | 41 | 18 | | 42 | 25 | | 43 | 5 | | 44 | 21 | | 45 | 21 | | 46 | 13 | | 47 | 8 | | 48 | 6 | | 49 | 21 |
| |
| 96.15% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.6346153846153846 | | totalSentences | 52 | | uniqueOpeners | 33 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 33 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 1 | | totalSentences | 33 | | matches | | 0 | "She sniffed the residue." |
| | ratio | 0.03 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 32 | | totalSentences | 33 | | matches | | 0 | "Detective Harlow Quinn stepped over" | | 1 | "The abandoned Tube station beneath" | | 2 | "Davies muttered, pointing his gloved" | | 3 | "Quinn knelt beside the body," | | 4 | "Quinn plucked the small brass" | | 5 | "The casing had a patina" | | 6 | "Quinn stood up slowly, her" | | 7 | "Davies flipped open his notebook," | | 8 | "Quinn dropped the compass into" | | 9 | "Quinn paced the perimeter of" | | 10 | "Quinn scraped a grayish smear" | | 11 | "She sniffed the residue." | | 12 | "Quinn's hand hovered near her" | | 13 | "Quinn stepped closer to her" | | 14 | "Quinn turned away, scanning the" | | 15 | "A tiny click echoed from" | | 16 | "Quinn drew her sidearm, the" | | 17 | "Davies adjusted his glasses, peering" | | 18 | "Quinn raised the pistol, stepping" | | 19 | "The air temperature dropped ten" |
| | ratio | 0.97 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 33 | | matches | (empty) | | ratio | 0 | |
| 77.92% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 11 | | technicalSentenceCount | 1 | | matches | | 0 | "A figure stood fifty yards ahead, draped in a heavy wool trench coat, holding a second brass compass that glowed with a sickening green luminescence." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 6 | | matches | | 0 | "Quinn knelt, her sharp jaw tightening" | | 1 | "Quinn dropped, the metal clinking against the plastic" | | 2 | "Quinn stepped, her brown eyes narrowing" | | 3 | "Quinn drew, the metal sliding from leather with a sharp hiss" | | 4 | "Quinn sprinted, her boots crunching over glass and gravel" | | 5 | "Eva gestured, the needle spinning wildly toward Quinn's left wrist" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "Davies muttered (mutter)" |
| | dialogueSentences | 37 | | tagDensity | 0.027 | | leniency | 0.054 | | rawRatio | 1 | | effectiveRatio | 0.054 | |