| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 43 | | tagDensity | 0.233 | | leniency | 0.465 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1340 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 44.03% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1340 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "stomach" | | 1 | "echoing" | | 2 | "tracing" | | 3 | "weight" | | 4 | "chill" | | 5 | "traced" | | 6 | "churn" | | 7 | "silence" | | 8 | "flicked" | | 9 | "unspoken" | | 10 | "tension" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 126 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 126 | | filterMatches | (empty) | | hedgeMatches | | |
| 99.06% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 157 | | gibberishSentences | 1 | | adjustedGibberishSentences | 1 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 1 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0.006 | | matches | | 0 | "\"Everything's cheap now. Deliver egg rolls, dodge cabs. No suits, no briefs. Eva pushes law comeback. Says waste my brain.\"" |
| |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 5 | | totalWords | 1315 | | ratio | 0.004 | | matches | | 0 | "Drinks tomorrow? Spill on Silas." |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 1 | | matches | | 0 | "Aurora smirked faint, memory flickering: rain-slick Cardiff docks, Silas barking orders, her ducking crates while Da tim…" |
| |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 50 | | wordCount | 853 | | uniqueNames | 22 | | maxNameDensity | 1.29 | | worstName | "Silas" | | maxWindowNameDensity | 3 | | worstWindowName | "Silas" | | discoveredNames | | Carter | 2 | | Raven | 1 | | Nest | 2 | | Soho | 2 | | Silas | 11 | | Blackwood | 1 | | Signet | 2 | | Brendan | 1 | | Cardiff | 2 | | Limped | 3 | | Silence | 2 | | Grabbed | 1 | | Da | 1 | | Picked | 1 | | Eastern | 1 | | Europe | 1 | | Aurora | 9 | | Prague | 1 | | Eva | 1 | | Deleted | 1 | | Rory | 3 | | Evan | 1 |
| | persons | | 0 | "Carter" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Blackwood" | | 4 | "Brendan" | | 5 | "Silence" | | 6 | "Da" | | 7 | "Aurora" | | 8 | "Eva" | | 9 | "Deleted" | | 10 | "Rory" | | 11 | "Evan" |
| | places | | 0 | "Raven" | | 1 | "Soho" | | 2 | "Cardiff" | | 3 | "Eastern" | | 4 | "Europe" | | 5 | "Prague" |
| | globalScore | 0.855 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | 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 | 1315 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 157 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 71 | | mean | 18.52 | | std | 16.28 | | cv | 0.879 | | sampleLengths | | 0 | 64 | | 1 | 60 | | 2 | 11 | | 3 | 1 | | 4 | 25 | | 5 | 8 | | 6 | 35 | | 7 | 32 | | 8 | 18 | | 9 | 29 | | 10 | 12 | | 11 | 28 | | 12 | 29 | | 13 | 11 | | 14 | 40 | | 15 | 24 | | 16 | 33 | | 17 | 23 | | 18 | 73 | | 19 | 64 | | 20 | 33 | | 21 | 48 | | 22 | 27 | | 23 | 28 | | 24 | 39 | | 25 | 21 | | 26 | 30 | | 27 | 30 | | 28 | 50 | | 29 | 15 | | 30 | 22 | | 31 | 10 | | 32 | 7 | | 33 | 18 | | 34 | 18 | | 35 | 22 | | 36 | 12 | | 37 | 16 | | 38 | 13 | | 39 | 11 | | 40 | 15 | | 41 | 20 | | 42 | 19 | | 43 | 7 | | 44 | 14 | | 45 | 4 | | 46 | 13 | | 47 | 8 | | 48 | 9 | | 49 | 3 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 126 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 211 | | matches | (empty) | |
| 15.47% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 157 | | ratio | 0.045 | | matches | | 0 | "Gripped hers firm, thumb pressing the crescent scar on her wrist—like he remembered the swing-set tumble from two decades back." | | 1 | "Pulled a bottle—single malt, label peeling." | | 2 | "Limped closer, hand on her shoulder—firm, callused." | | 3 | "Pulled a stool for himself—rarity, legs splaying wide." | | 4 | "She flicked light—bare bulb harsh on unboxed crates, delivery vest slung chair." | | 5 | "Phone buzzed—Eva text: *Drinks tomorrow?" | | 6 | "No—wait, instructions say NEVER conclude, but scene needs fleshing." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 867 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.020761245674740483 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.00461361014994233 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 157 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 157 | | mean | 8.38 | | std | 6.32 | | cv | 0.755 | | sampleLengths | | 0 | 15 | | 1 | 10 | | 2 | 20 | | 3 | 19 | | 4 | 13 | | 5 | 10 | | 6 | 18 | | 7 | 9 | | 8 | 10 | | 9 | 3 | | 10 | 5 | | 11 | 3 | | 12 | 1 | | 13 | 3 | | 14 | 9 | | 15 | 13 | | 16 | 8 | | 17 | 9 | | 18 | 6 | | 19 | 20 | | 20 | 28 | | 21 | 4 | | 22 | 10 | | 23 | 4 | | 24 | 4 | | 25 | 2 | | 26 | 5 | | 27 | 7 | | 28 | 4 | | 29 | 11 | | 30 | 12 | | 31 | 9 | | 32 | 4 | | 33 | 15 | | 34 | 16 | | 35 | 13 | | 36 | 7 | | 37 | 4 | | 38 | 4 | | 39 | 36 | | 40 | 4 | | 41 | 7 | | 42 | 13 | | 43 | 7 | | 44 | 6 | | 45 | 20 | | 46 | 3 | | 47 | 5 | | 48 | 9 | | 49 | 6 |
| |
| 98.73% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.6687898089171974 | | totalSentences | 157 | | uniqueOpeners | 105 | |
| 28.49% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 117 | | matches | | 0 | "Bright blue eyes swept the" |
| | ratio | 0.009 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 117 | | matches | | 0 | "She shook rain from her" | | 1 | "His right hand turned pages," | | 2 | "He glanced up." | | 3 | "Her stomach twisted." | | 4 | "She crossed the floorboards, each" | | 5 | "He straightened slow, wincing as" | | 6 | "His gaze raked her face," | | 7 | "She slid onto the stool," | | 8 | "He slid it over, poured" | | 9 | "He leaned on the bar," | | 10 | "She traced the glass rim," | | 11 | "His chuckle rasped dry." | | 12 | "She met his eyes, blue" | | 13 | "He snorted, refilled her glass" | | 14 | "She rolled sleeve higher, exposing" | | 15 | "He pushed off the bar," | | 16 | "She knocked back the whisky," | | 17 | "He drained his glass, set" | | 18 | "She barked laugh, sharp" | | 19 | "He circled back behind bar," |
| | ratio | 0.299 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 78 | | totalSentences | 117 | | matches | | 0 | "Aurora Carter shoved the door" | | 1 | "A lone punter nursed a" | | 2 | "She shook rain from her" | | 3 | "There, Silas Blackwood hunched over" | | 4 | "His right hand turned pages," | | 5 | "He glanced up." | | 6 | "Hazel eyes narrowed, then widened." | | 7 | "Ledger snapped shut." | | 8 | "Her stomach twisted." | | 9 | "She crossed the floorboards, each" | | 10 | "He straightened slow, wincing as" | | 11 | "His gaze raked her face," | | 12 | "She slid onto the stool," | | 13 | "Leather creaked under her." | | 14 | "Ice cracked under amber pour." | | 15 | "He slid it over, poured" | | 16 | "Aurora sipped, burn chasing the" | | 17 | "Set glass down deliberate." | | 18 | "He leaned on the bar," | | 19 | "She traced the glass rim," |
| | ratio | 0.667 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 117 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 3 | | matches | | 0 | "He leaned, beard twitching" | | 1 | "She barked, sharp" | | 2 | "he fetched, bowl clattering down" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 43 | | tagDensity | 0.023 | | leniency | 0.047 | | rawRatio | 1 | | effectiveRatio | 0.047 | |