| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 33 | | tagDensity | 0.121 | | leniency | 0.242 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.14% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1028 | | 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) | |
| 85.41% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1028 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "echoed" | | 1 | "silence" | | 2 | "etched" |
| |
| 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 | 85 | | matches | (empty) | |
| 92.44% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 85 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 114 | | 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 | 1028 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 740 | | uniqueNames | 8 | | maxNameDensity | 1.22 | | worstName | "Webb" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Webb" | | discoveredNames | | Quinn | 5 | | Webb | 9 | | Camden | 1 | | High | 1 | | Street | 1 | | Docklands | 1 | | Morris | 1 | | Silence | 1 |
| | persons | | | places | | 0 | "Camden" | | 1 | "High" | | 2 | "Street" | | 3 | "Docklands" |
| | globalScore | 0.892 | | windowScore | 0.833 | |
| 66.67% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | glossingSentenceCount | 2 | | matches | | 0 | "as if reaching for something" | | 1 | "patterns that seemed to shift when she tilted it" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1028 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 114 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 21.87 | | std | 21.58 | | cv | 0.987 | | sampleLengths | | 0 | 53 | | 1 | 3 | | 2 | 51 | | 3 | 45 | | 4 | 28 | | 5 | 27 | | 6 | 12 | | 7 | 47 | | 8 | 4 | | 9 | 1 | | 10 | 38 | | 11 | 26 | | 12 | 4 | | 13 | 9 | | 14 | 49 | | 15 | 66 | | 16 | 4 | | 17 | 17 | | 18 | 3 | | 19 | 74 | | 20 | 14 | | 21 | 5 | | 22 | 3 | | 23 | 56 | | 24 | 76 | | 25 | 1 | | 26 | 6 | | 27 | 13 | | 28 | 8 | | 29 | 37 | | 30 | 8 | | 31 | 5 | | 32 | 13 | | 33 | 10 | | 34 | 4 | | 35 | 40 | | 36 | 57 | | 37 | 2 | | 38 | 29 | | 39 | 1 | | 40 | 6 | | 41 | 2 | | 42 | 30 | | 43 | 17 | | 44 | 5 | | 45 | 8 | | 46 | 11 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 85 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 131 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 114 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 744 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.024193548387096774 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.002688172043010753 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 114 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 114 | | mean | 9.02 | | std | 6.67 | | cv | 0.74 | | sampleLengths | | 0 | 13 | | 1 | 12 | | 2 | 15 | | 3 | 7 | | 4 | 6 | | 5 | 3 | | 6 | 8 | | 7 | 17 | | 8 | 26 | | 9 | 2 | | 10 | 2 | | 11 | 16 | | 12 | 10 | | 13 | 9 | | 14 | 6 | | 15 | 8 | | 16 | 9 | | 17 | 2 | | 18 | 9 | | 19 | 27 | | 20 | 12 | | 21 | 5 | | 22 | 5 | | 23 | 2 | | 24 | 7 | | 25 | 1 | | 26 | 4 | | 27 | 10 | | 28 | 13 | | 29 | 4 | | 30 | 1 | | 31 | 17 | | 32 | 21 | | 33 | 7 | | 34 | 19 | | 35 | 4 | | 36 | 5 | | 37 | 4 | | 38 | 34 | | 39 | 15 | | 40 | 7 | | 41 | 10 | | 42 | 6 | | 43 | 5 | | 44 | 6 | | 45 | 8 | | 46 | 17 | | 47 | 7 | | 48 | 4 | | 49 | 2 |
| |
| 76.02% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.4824561403508772 | | totalSentences | 114 | | uniqueOpeners | 55 | |
| 44.44% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 75 | | matches | | 0 | "Dark green with a cream" |
| | ratio | 0.013 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 75 | | matches | | 0 | "She'd spent those fifteen stuck" | | 1 | "She counted them without thinking," | | 2 | "Her left wrist caught the" | | 3 | "She'd need to replace it" | | 4 | "She didn't touch it yet." | | 5 | "She nodded toward the dark" | | 6 | "She moved her torch along" | | 7 | "She approached it, boots crunching" | | 8 | "She'd seen markings like this" | | 9 | "She'd had no reason not" | | 10 | "She watched him pull out" | | 11 | "She'd lost it years ago." | | 12 | "She returned to the body." | | 13 | "He looked up from his" | | 14 | "He approached, squinted." | | 15 | "She let the coat drop" | | 16 | "His notepad hung loose at" | | 17 | "She stood and swept her" | | 18 | "She crossed to it in" | | 19 | "It pointed toward the tunnel" |
| | ratio | 0.293 | |
| 66.67% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 75 | | matches | | 0 | "The stairs down to the" | | 1 | "Something sweet underneath, like overripe" | | 2 | "Harlow Quinn clicked her torch" | | 3 | "Posters from 1962 peeled in" | | 4 | "A rat scuttled into a" | | 5 | "The voice echoed up from" | | 6 | "Sergeant Webb had gotten the" | | 7 | "She'd spent those fifteen stuck" | | 8 | "She counted them without thinking," | | 9 | "Her left wrist caught the" | | 10 | "The leather strap of her" | | 11 | "She'd need to replace it" | | 12 | "The body lay near the" | | 13 | "A man, mid-fifties, grey hair" | | 14 | "Webb stood over him with" | | 15 | "Quinn crouched beside the body." | | 16 | "She didn't touch it yet." | | 17 | "The man's shoes caught her" | | 18 | "The kind of shoes that" | | 19 | "She nodded toward the dark" |
| | ratio | 0.787 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 75 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 1 | | matches | | 0 | "It pointed toward the tunnel mouth, trembling slightly, as if whatever lay at the other end pulled at it with invisible hands." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | 0 | "Quinn stood, her knees popping once" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |