| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 35 | | tagDensity | 0.314 | | leniency | 0.629 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.22% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1476 | | totalAiIsmAdverbs | 2 | | found | | 0 | | | 1 | | adverb | "deliberately" | | count | 1 |
|
| | 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) | |
| 42.41% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1476 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "electric" | | 1 | "measured" | | 2 | "warmth" | | 3 | "silk" | | 4 | "scanning" | | 5 | "gloom" | | 6 | "tension" | | 7 | "traced" | | 8 | "silence" | | 9 | "weight" | | 10 | "shattered" | | 11 | "echo" | | 12 | "pristine" |
| |
| 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 | 62 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 62 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 86 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1476 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 52 | | wordCount | 1034 | | uniqueNames | 12 | | maxNameDensity | 1.93 | | worstName | "Eva" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Eva" | | discoveredNames | | Greek | 1 | | Street | 1 | | Raven | 1 | | Nest | 1 | | Golden | 2 | | Empress | 2 | | London | 2 | | Cardiff | 2 | | Central | 1 | | Silas | 5 | | Eva | 20 | | Rory | 14 |
| | persons | | 0 | "Empress" | | 1 | "Silas" | | 2 | "Eva" | | 3 | "Rory" |
| | places | | 0 | "Greek" | | 1 | "Street" | | 2 | "Raven" | | 3 | "Golden" | | 4 | "London" | | 5 | "Cardiff" |
| | globalScore | 0.533 | | windowScore | 0.5 | |
| 65.25% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like the polished junior partner i" | | 1 | "sounded like a cracked pane of glass" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1476 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 86 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 31.4 | | std | 25.41 | | cv | 0.809 | | sampleLengths | | 0 | 22 | | 1 | 117 | | 2 | 24 | | 3 | 58 | | 4 | 11 | | 5 | 32 | | 6 | 38 | | 7 | 1 | | 8 | 14 | | 9 | 1 | | 10 | 51 | | 11 | 3 | | 12 | 2 | | 13 | 3 | | 14 | 14 | | 15 | 35 | | 16 | 6 | | 17 | 85 | | 18 | 44 | | 19 | 32 | | 20 | 12 | | 21 | 10 | | 22 | 80 | | 23 | 62 | | 24 | 59 | | 25 | 63 | | 26 | 37 | | 27 | 16 | | 28 | 43 | | 29 | 18 | | 30 | 9 | | 31 | 1 | | 32 | 51 | | 33 | 55 | | 34 | 40 | | 35 | 30 | | 36 | 2 | | 37 | 16 | | 38 | 28 | | 39 | 32 | | 40 | 3 | | 41 | 56 | | 42 | 45 | | 43 | 18 | | 44 | 8 | | 45 | 44 | | 46 | 45 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 62 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 149 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 86 | | ratio | 0.012 | | matches | | 0 | "She did not sit; she rested one manicured palm on the polished rim, the leather of her handbag creaking against her ribs." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1045 | | adjectiveStacks | 1 | | stackExamples | | 0 | "pristine cream-colored business" |
| | adverbCount | 21 | | adverbRatio | 0.020095693779904306 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.004784688995215311 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 86 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 86 | | mean | 17.16 | | std | 10.46 | | cv | 0.609 | | sampleLengths | | 0 | 22 | | 1 | 18 | | 2 | 32 | | 3 | 28 | | 4 | 15 | | 5 | 24 | | 6 | 12 | | 7 | 12 | | 8 | 13 | | 9 | 11 | | 10 | 34 | | 11 | 11 | | 12 | 13 | | 13 | 3 | | 14 | 16 | | 15 | 38 | | 16 | 1 | | 17 | 8 | | 18 | 6 | | 19 | 1 | | 20 | 16 | | 21 | 20 | | 22 | 15 | | 23 | 3 | | 24 | 2 | | 25 | 3 | | 26 | 14 | | 27 | 16 | | 28 | 19 | | 29 | 6 | | 30 | 6 | | 31 | 27 | | 32 | 22 | | 33 | 30 | | 34 | 14 | | 35 | 8 | | 36 | 22 | | 37 | 32 | | 38 | 12 | | 39 | 10 | | 40 | 46 | | 41 | 34 | | 42 | 43 | | 43 | 19 | | 44 | 20 | | 45 | 39 | | 46 | 40 | | 47 | 7 | | 48 | 16 | | 49 | 26 |
| |
| 38.37% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.29069767441860467 | | totalSentences | 86 | | uniqueOpeners | 25 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 62 | | matches | | 0 | "She wore a slate-grey wool" | | 1 | "Her throat hitched." | | 2 | "Her eyes widened, scanning the" | | 3 | "She ignored Silas, ignored the" | | 4 | "She stopped two paces away," | | 5 | "His hazel eyes lingered on" | | 6 | "He reached beneath the counter," | | 7 | "He pushed one toward Eva," | | 8 | "She did not sit; she" | | 9 | "Her bright blue eyes did" | | 10 | "She picked up her glass" | | 11 | "She found only the flat," | | 12 | "It stopped against the salt" | | 13 | "She didn't touch it." | | 14 | "She slid off the stool," | | 15 | "She picked up her umbrella," |
| | ratio | 0.258 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 62 | | matches | | 0 | "The green neon sign outside" | | 1 | "Silas moved behind the counter" | | 2 | "Rory sat on the far" | | 3 | "The crescent-shaped welt on her" | | 4 | "A grease-stained greaseproof paper bag" | | 5 | "A gust of London sleet" | | 6 | "The brass bell gave a" | | 7 | "A woman stepped through, folding" | | 8 | "Water pooled at the heels" | | 9 | "She wore a slate-grey wool" | | 10 | "Rory froze, a glass of" | | 11 | "The woman shook out her" | | 12 | "Her throat hitched." | | 13 | "Her eyes widened, scanning the" | | 14 | "Eva looked like the polished" | | 15 | "Rory set the tumbler down" | | 16 | "The water sloshed against the" | | 17 | "Eva took three slow strides" | | 18 | "She ignored Silas, ignored the" | | 19 | "She stopped two paces away," |
| | ratio | 0.984 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 55.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 5 | | matches | | 0 | "She wore a slate-grey wool coat tailored within an inch of its life, a silk scarf knotted tight against her throat, and rain-darkened chestnut hair cut into an …" | | 1 | "Eva looked like the polished junior partner in a firm that billed in six-minute increments, a far cry from the girl who used to split five-pound bags of chips o…" | | 2 | "His hazel eyes lingered on Eva’s tailored shoulders, evaluating the tension in her stance with the quiet calculation of a man who measured exits for a living." | | 3 | "Eva reached out, her fingers hovering an inch above Rory’s scarred wrist before she pulled back, curling her hand into a tight fist on the counter." | | 4 | "The silence between them stretched, thick with the weight of student flats, rain-soaked libraries, and the sudden violence that had shattered both." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 3 | | matches | | 0 | "Eva pulled, her fingers sinking into the thick wool" | | 1 | "Eva murmured, her knuckles relaxing on the table" | | 2 | "Eva said, the name dropping between them like lead" |
| |
| 92.86% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "her spine refusing (refuse)" | | 1 | "Eva murmured (murmur)" |
| | dialogueSentences | 35 | | tagDensity | 0.114 | | leniency | 0.229 | | rawRatio | 0.5 | | effectiveRatio | 0.114 | |