| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 2 | | adverbTags | | 0 | "she said slowly [slowly]" | | 1 | "she asked again [again]" |
| | dialogueSentences | 63 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0.111 | | effectiveRatio | 0.063 | |
| 71.93% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1247 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "suddenly" | | 1 | "carefully" | | 2 | "sharply" | | 3 | "slowly" | | 4 | "very" |
| |
| 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) | |
| 39.86% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1247 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "etched" | | 1 | "weight" | | 2 | "flickered" | | 3 | "eyebrow" | | 4 | "stomach" | | 5 | "silence" | | 6 | "predictable" | | 7 | "implication" | | 8 | "pulse" | | 9 | "raced" | | 10 | "familiar" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 111 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 111 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 153 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1238 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 47 | | wordCount | 908 | | uniqueNames | 10 | | maxNameDensity | 2.09 | | worstName | "Silas" | | maxWindowNameDensity | 4 | | worstWindowName | "Silas" | | discoveredNames | | Rory | 13 | | Blackwood | 1 | | Raven | 2 | | Nest | 2 | | Silas | 19 | | Yu-Fei | 2 | | Evan | 3 | | London | 1 | | Vauxhall | 1 | | Mercer | 3 |
| | persons | | 0 | "Rory" | | 1 | "Blackwood" | | 2 | "Raven" | | 3 | "Nest" | | 4 | "Silas" | | 5 | "Yu-Fei" | | 6 | "Evan" | | 7 | "Mercer" |
| | places | | | globalScore | 0.454 | | windowScore | 0.333 | |
| 27.05% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 3 | | matches | | 0 | "quite relax" | | 1 | "tasted like acid" | | 2 | "felt like a spotlight" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.808 | | wordCount | 1238 | | matches | | 0 | "not now, but the signet ring on his right hand still caught the light the" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 153 | | matches | | 0 | "believe that the" | | 1 | "knew that name" |
| |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 71 | | mean | 17.44 | | std | 12.29 | | cv | 0.705 | | sampleLengths | | 0 | 36 | | 1 | 61 | | 2 | 13 | | 3 | 28 | | 4 | 44 | | 5 | 6 | | 6 | 16 | | 7 | 22 | | 8 | 19 | | 9 | 13 | | 10 | 23 | | 11 | 24 | | 12 | 17 | | 13 | 25 | | 14 | 5 | | 15 | 11 | | 16 | 14 | | 17 | 2 | | 18 | 35 | | 19 | 6 | | 20 | 9 | | 21 | 41 | | 22 | 7 | | 23 | 25 | | 24 | 29 | | 25 | 9 | | 26 | 6 | | 27 | 10 | | 28 | 49 | | 29 | 4 | | 30 | 11 | | 31 | 17 | | 32 | 28 | | 33 | 30 | | 34 | 5 | | 35 | 16 | | 36 | 7 | | 37 | 30 | | 38 | 10 | | 39 | 20 | | 40 | 24 | | 41 | 9 | | 42 | 9 | | 43 | 11 | | 44 | 3 | | 45 | 42 | | 46 | 7 | | 47 | 27 | | 48 | 19 | | 49 | 6 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 111 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 166 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 153 | | ratio | 0.059 | | matches | | 0 | "The air smelled of aged wood and something sharper—gun oil, maybe, or the ghost of old secrets." | | 1 | "She studied him—the way his hazel eyes flickered toward the exit, the way his shoulders didn’t quite relax." | | 2 | "The last time she’d seen Silas, she’d been a different person—softer, maybe." | | 3 | "Rory touched her hair—straight, black, cut to her shoulders now." | | 4 | "A man in a suit, standing outside a building she recognised—the old MI6 offices in Vauxhall." | | 5 | "Evan had connections—old ones, deep ones." | | 6 | "Thought she’d built a life here—deliveries for Yu-Fei, the flat above the bar, the quiet rhythm of days that didn’t involve looking over her shoulder." | | 7 | "The man’s face was blurred, but his posture was familiar—too familiar." | | 8 | "Mercer had been a ghost story back then—a spook who’d gone rogue, sold secrets, left bodies in his wake." |
| |
| 88.19% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 922 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 43 | | adverbRatio | 0.046637744034707156 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.009761388286334056 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 153 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 153 | | mean | 8.09 | | std | 5.96 | | cv | 0.737 | | sampleLengths | | 0 | 17 | | 1 | 3 | | 2 | 16 | | 3 | 20 | | 4 | 41 | | 5 | 13 | | 6 | 14 | | 7 | 14 | | 8 | 13 | | 9 | 17 | | 10 | 14 | | 11 | 6 | | 12 | 14 | | 13 | 2 | | 14 | 17 | | 15 | 5 | | 16 | 13 | | 17 | 6 | | 18 | 6 | | 19 | 7 | | 20 | 6 | | 21 | 11 | | 22 | 6 | | 23 | 18 | | 24 | 6 | | 25 | 15 | | 26 | 2 | | 27 | 11 | | 28 | 11 | | 29 | 3 | | 30 | 3 | | 31 | 2 | | 32 | 7 | | 33 | 4 | | 34 | 2 | | 35 | 9 | | 36 | 3 | | 37 | 2 | | 38 | 9 | | 39 | 12 | | 40 | 3 | | 41 | 11 | | 42 | 6 | | 43 | 4 | | 44 | 5 | | 45 | 3 | | 46 | 6 | | 47 | 4 | | 48 | 9 | | 49 | 19 |
| |
| 47.71% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.3137254901960784 | | totalSentences | 153 | | uniqueOpeners | 48 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 95 | | matches | | 0 | "Still have changed her name," | | 1 | "Still have ended up here," | | 2 | "Instead, he reached into his" |
| | ratio | 0.032 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 95 | | matches | | 0 | "She didn’t flinch." | | 1 | "He slid onto the stool" | | 2 | "She nodded toward the kitchen," | | 3 | "She studied him—the way his" | | 4 | "He flagged down the bartender," | | 5 | "He took a sip, then" | | 6 | "She’d still believed in things" | | 7 | "She didn’t answer." | | 8 | "She’d still have run." | | 9 | "he said at last" | | 10 | "His beard was new, neatly" | | 11 | "She wanted to believe that." | | 12 | "He finished his drink in" | | 13 | "She unfolded it carefully." | | 14 | "He said her name like" | | 15 | "She exhaled sharply." | | 16 | "She barked out a laugh." | | 17 | "She’d thought she was safe." | | 18 | "She folded the photo and" | | 19 | "She knew that name." |
| | ratio | 0.263 | |
| 33.68% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 81 | | totalSentences | 95 | | matches | | 0 | "The glass slipped from Rory’s" | | 1 | "She didn’t flinch." | | 2 | "The sting of whiskey on" | | 3 | "Silas Blackwood stood in the" | | 4 | "The years had etched lines" | | 5 | "Silas limped forward, the old" | | 6 | "The bar was nearly empty," | | 7 | "The air smelled of aged" | | 8 | "Rory wiped her wrist on" | | 9 | "He slid onto the stool" | | 10 | "She nodded toward the kitchen," | | 11 | "Silas exhaled through his nose," | | 12 | "Rory’s fingers curled around the" | | 13 | "A muscle in his jaw" | | 14 | "The signet ring glinted as" | | 15 | "She studied him—the way his" | | 16 | "He flagged down the bartender," | | 17 | "The bartender poured without a" | | 18 | "He took a sip, then" | | 19 | "Rory’s stomach twisted." |
| | ratio | 0.853 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 95 | | matches | | 0 | "If he found her…" | | 1 | "If he was back, if" |
| | ratio | 0.021 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 2 | | matches | | 0 | "Thought she’d built a life here—deliveries for Yu-Fei, the flat above the bar, the quiet rhythm of days that didn’t involve looking over her shoulder." | | 1 | "Mercer had been a ghost story back then—a spook who’d gone rogue, sold secrets, left bodies in his wake." |
| |
| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 2 | | matches | | 0 | "He slid, the leather creaking under his weight" | | 1 | "Silas leaned in, his voice dropping to a murmur" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 63 | | tagDensity | 0.206 | | leniency | 0.413 | | rawRatio | 0.077 | | effectiveRatio | 0.032 | |