| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 1 | | adverbTags | | 0 | "Aurora hesitated then [then]" |
| | dialogueSentences | 40 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.125 | | effectiveRatio | 0.05 | |
| 93.04% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1436 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 79.11% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1436 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "shattered" | | 1 | "traced" | | 2 | "scanned" | | 3 | "silence" | | 4 | "electric" | | 5 | "weight" |
| |
| 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 | 1 | | narrationSentences | 77 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 77 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 109 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1435 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 52 | | wordCount | 883 | | uniqueNames | 14 | | maxNameDensity | 2.04 | | worstName | "Aurora" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Aurora" | | discoveredNames | | Raven | 1 | | Nest | 1 | | October | 1 | | Soho | 1 | | Silas | 9 | | Blackwood | 1 | | Prague | 1 | | Carter | 1 | | Laila | 2 | | Aurora | 18 | | Cardiff | 1 | | Naomi | 13 | | Closed | 1 | | Rory | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Blackwood" | | 4 | "Carter" | | 5 | "Laila" | | 6 | "Aurora" | | 7 | "Naomi" | | 8 | "Rory" |
| | places | | 0 | "Soho" | | 1 | "Prague" | | 2 | "Cardiff" | | 3 | "Closed" |
| | globalScore | 0.481 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.091 | | wordCount | 1435 | | matches | | 0 | "not a preference but a survival tic, a habit born in a Cardiff flat" | | 1 | "not legal in the strict sense, but it is necessary" | | 2 | "not like a burden but like a foundation" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 109 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 30.53 | | std | 29.29 | | cv | 0.959 | | sampleLengths | | 0 | 112 | | 1 | 95 | | 2 | 142 | | 3 | 76 | | 4 | 9 | | 5 | 17 | | 6 | 35 | | 7 | 4 | | 8 | 39 | | 9 | 11 | | 10 | 62 | | 11 | 5 | | 12 | 1 | | 13 | 62 | | 14 | 26 | | 15 | 33 | | 16 | 2 | | 17 | 34 | | 18 | 29 | | 19 | 23 | | 20 | 20 | | 21 | 65 | | 22 | 10 | | 23 | 3 | | 24 | 29 | | 25 | 59 | | 26 | 3 | | 27 | 7 | | 28 | 9 | | 29 | 38 | | 30 | 21 | | 31 | 28 | | 32 | 19 | | 33 | 15 | | 34 | 27 | | 35 | 21 | | 36 | 14 | | 37 | 35 | | 38 | 7 | | 39 | 2 | | 40 | 42 | | 41 | 8 | | 42 | 7 | | 43 | 20 | | 44 | 31 | | 45 | 38 | | 46 | 40 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 77 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 144 | | matches | | |
| 90.43% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 2 | | flaggedSentences | 2 | | totalSentences | 109 | | ratio | 0.018 | | matches | | 0 | "The maps' cartouches curled like dry leaves; the photographs showed men with cold eyes and women with cigarette holders, their faces frozen moments before secrets were spoken." | | 1 | "His eyes met Aurora’s for a fraction of a second; she answered with a tiny tilt of her chin." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 515 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.031067961165048542 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.003883495145631068 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 109 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 109 | | mean | 13.17 | | std | 9.2 | | cv | 0.699 | | sampleLengths | | 0 | 24 | | 1 | 8 | | 2 | 29 | | 3 | 27 | | 4 | 24 | | 5 | 10 | | 6 | 21 | | 7 | 20 | | 8 | 19 | | 9 | 12 | | 10 | 13 | | 11 | 18 | | 12 | 27 | | 13 | 22 | | 14 | 7 | | 15 | 27 | | 16 | 17 | | 17 | 24 | | 18 | 15 | | 19 | 16 | | 20 | 11 | | 21 | 23 | | 22 | 11 | | 23 | 9 | | 24 | 6 | | 25 | 7 | | 26 | 4 | | 27 | 10 | | 28 | 25 | | 29 | 3 | | 30 | 1 | | 31 | 14 | | 32 | 25 | | 33 | 11 | | 34 | 3 | | 35 | 24 | | 36 | 35 | | 37 | 5 | | 38 | 1 | | 39 | 17 | | 40 | 45 | | 41 | 11 | | 42 | 15 | | 43 | 3 | | 44 | 30 | | 45 | 2 | | 46 | 3 | | 47 | 31 | | 48 | 29 | | 49 | 10 |
| |
| 51.07% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3394495412844037 | | totalSentences | 109 | | uniqueOpeners | 37 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 76 | | matches | (empty) | | ratio | 0 | |
| 98.95% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 76 | | matches | | 0 | "He was fifty-eight, his auburn" | | 1 | "He polished a whiskey tumbler," | | 2 | "Her bright blue eyes, the" | | 3 | "She held a mug of" | | 4 | "Her other hand traced the" | | 5 | "Her hair, straight and black" | | 6 | "She was twenty-five, but the" | | 7 | "She was about Aurora’s age," | | 8 | "She stamped mud from her" | | 9 | "She did not answer." | | 10 | "She stopped at the table," | | 11 | "She broke off, swallowed hard," | | 12 | "His gaze fixed on the" | | 13 | "He placed them down, the" | | 14 | "His eyes met Aurora’s for" | | 15 | "He gave Naomi a courteous" | | 16 | "They were alone in the" | | 17 | "She sent a four-word message:" | | 18 | "They hugged, a brief clasp," | | 19 | "he asked, without looking at" |
| | ratio | 0.303 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 70 | | totalSentences | 76 | | matches | | 0 | "The green neon sign above" | | 1 | "Lamps with emerald shades hung" | | 2 | "The place had the aroma" | | 3 | "He was fifty-eight, his auburn" | | 4 | "A slight limp, relic of" | | 5 | "He polished a whiskey tumbler," | | 6 | "Silas glanced across the room," | | 7 | "Aurora Carter, who had once" | | 8 | "The posture was not a" | | 9 | "Her bright blue eyes, the" | | 10 | "She held a mug of" | | 11 | "Her other hand traced the" | | 12 | "Her hair, straight and black" | | 13 | "She was twenty-five, but the" | | 14 | "The street door swung open" | | 15 | "She was about Aurora’s age," | | 16 | "A suede jacket, too light" | | 17 | "She stamped mud from her" | | 18 | "The name came out as" | | 19 | "Aurora’s fingers tightened around the" |
| | ratio | 0.921 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 76 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 2 | | matches | | 0 | "The place had the aroma of beeswax and stale smoke, a scent that had settled into the floorboards long before Silas Blackwood took ownership." | | 1 | "She was twenty-five, but the years she had spent rebuilding herself from nothing had given her an expression that didn’t belong to her age." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 2 | | matches | | 0 | "he asked, without looking at Aurora" | | 1 | "Silas collected, his limp a quiet punctuation" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 40 | | tagDensity | 0.025 | | leniency | 0.05 | | rawRatio | 0 | | effectiveRatio | 0 | |