| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 2 | | adverbTags | | 0 | "she said carefully [carefully]" | | 1 | "he said softly [softly]" |
| | dialogueSentences | 46 | | tagDensity | 0.261 | | leniency | 0.522 | | rawRatio | 0.167 | | effectiveRatio | 0.087 | |
| 87.57% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1207 | | totalAiIsmAdverbs | 3 | | 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) | |
| 42.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1207 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "pulse" | | 1 | "weight" | | 2 | "familiar" | | 3 | "eyebrow" | | 4 | "could feel" | | 5 | "unspoken" | | 6 | "traced" | | 7 | "constructed" | | 8 | "facade" | | 9 | "whisper" |
| |
| 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 | 105 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 0 | | narrationSentences | 105 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 135 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 6 | | markdownWords | 23 | | totalWords | 1191 | | ratio | 0.019 | | matches | | 0 | "Never look back." | | 1 | "or did you just get better at running?" | | 2 | "Prague." | | 3 | "You weren’t there." | | 4 | "I’m alive. Don’t look for me." | | 5 | "Like me." |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 936 | | uniqueNames | 6 | | maxNameDensity | 0.96 | | worstName | "Silas" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Silas" | | discoveredNames | | Prague | 3 | | Raven | 1 | | Nest | 1 | | Rory | 4 | | Silas | 9 | | Retired | 2 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Rory" | | 3 | "Silas" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | 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 | 1191 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 135 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 60 | | mean | 19.85 | | std | 15.14 | | cv | 0.763 | | sampleLengths | | 0 | 48 | | 1 | 1 | | 2 | 49 | | 3 | 30 | | 4 | 10 | | 5 | 12 | | 6 | 51 | | 7 | 8 | | 8 | 39 | | 9 | 11 | | 10 | 9 | | 11 | 42 | | 12 | 18 | | 13 | 4 | | 14 | 39 | | 15 | 3 | | 16 | 2 | | 17 | 26 | | 18 | 33 | | 19 | 5 | | 20 | 1 | | 21 | 20 | | 22 | 28 | | 23 | 22 | | 24 | 6 | | 25 | 13 | | 26 | 7 | | 27 | 7 | | 28 | 20 | | 29 | 9 | | 30 | 17 | | 31 | 30 | | 32 | 5 | | 33 | 4 | | 34 | 7 | | 35 | 6 | | 36 | 2 | | 37 | 55 | | 38 | 19 | | 39 | 39 | | 40 | 10 | | 41 | 21 | | 42 | 16 | | 43 | 29 | | 44 | 2 | | 45 | 15 | | 46 | 31 | | 47 | 17 | | 48 | 11 | | 49 | 51 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 105 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 162 | | matches | | 0 | "was being" | | 1 | "was looking" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 135 | | ratio | 0.081 | | matches | | 0 | "Across the room, a man turned at the sound—hazel eyes locking onto hers with the precision of a sniper’s scope." | | 1 | "The limp was new—or maybe she’d just never noticed it before." | | 2 | "The Raven’s Nest smelled the same—aged whiskey, polished wood, the faint metallic tang of old blood beneath the varnish." | | 3 | "\"Not just that.\" She studied him—the lines around his eyes deeper, the set of his jaw harder." | | 4 | "The way he said her name—like he’d been keeping tabs." | | 5 | "The one that had left her with a scar on her wrist and him—what?" | | 6 | "It was about everything—the way she’d vanished in the night, the way she’d cut ties with everyone from that life." | | 7 | "For the first time since she’d walked in, she saw the man beneath the carefully constructed facade—the one who missed the thrill of the chase, the weight of a gun in his hand, the rush of outsmarting an enemy at their own game." | | 8 | "Because despite everything—despite the fear, the scars, the way her hands still shook when she heard a car backfire—she missed it too." | | 9 | "But the way he was looking at her—like she was still that sharp, quick-thinking asset he’d trained, like she hadn’t spent the last three years delivering dumplings and pretending she was normal—made her hesitate." | | 10 | "But it wasn’t the hood that made her blood run cold—it was the gun in his hand." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 951 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.029442691903259727 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.007360672975814932 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 135 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 135 | | mean | 8.82 | | std | 6.88 | | cv | 0.78 | | sampleLengths | | 0 | 11 | | 1 | 17 | | 2 | 20 | | 3 | 1 | | 4 | 8 | | 5 | 22 | | 6 | 2 | | 7 | 2 | | 8 | 15 | | 9 | 6 | | 10 | 2 | | 11 | 22 | | 12 | 7 | | 13 | 3 | | 14 | 9 | | 15 | 3 | | 16 | 3 | | 17 | 3 | | 18 | 21 | | 19 | 11 | | 20 | 13 | | 21 | 8 | | 22 | 6 | | 23 | 5 | | 24 | 4 | | 25 | 24 | | 26 | 11 | | 27 | 8 | | 28 | 1 | | 29 | 7 | | 30 | 12 | | 31 | 19 | | 32 | 4 | | 33 | 9 | | 34 | 5 | | 35 | 4 | | 36 | 4 | | 37 | 8 | | 38 | 7 | | 39 | 24 | | 40 | 3 | | 41 | 2 | | 42 | 9 | | 43 | 17 | | 44 | 6 | | 45 | 13 | | 46 | 14 | | 47 | 5 | | 48 | 1 | | 49 | 17 |
| |
| 60.49% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.3851851851851852 | | totalSentences | 135 | | uniqueOpeners | 52 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 87 | | matches | | 0 | "Just that quiet assessment, the" | | 1 | "Just watched as she crossed" | | 2 | "Just that dry, familiar amusement," |
| | ratio | 0.034 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 87 | | matches | | 0 | "His beard had more grey" | | 1 | "She nodded, pressing a five-pound" | | 2 | "His left knee gave a" | | 3 | "she shot back" | | 4 | "She slid onto the stool" | | 5 | "She could feel the weight" | | 6 | "She studied him—the lines around" | | 7 | "He barked out a laugh." | | 8 | "His fingers tapped against the" | | 9 | "she said carefully" | | 10 | "He took another sip" | | 11 | "She changed the subject." | | 12 | "His fingers stilled on the" | | 13 | "It was about everything—the way" | | 14 | "She looked away, her gaze" | | 15 | "he said softly" | | 16 | "She picked at the label" | | 17 | "His laugh was bitter." | | 18 | "He drained the last of" | | 19 | "She knew what he meant." |
| | ratio | 0.299 | |
| 74.94% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 67 | | totalSentences | 87 | | matches | | 0 | "The glass slipped from her" | | 1 | "Ice clinked against the bar’s" | | 2 | "His beard had more grey" | | 3 | "The signet ring on his" | | 4 | "Rory’s pulse hammered in her" | | 5 | "The bartender’s voice cut through" | | 6 | "She nodded, pressing a five-pound" | | 7 | "Silas hadn’t moved." | | 8 | "The limp was new—or maybe" | | 9 | "His left knee gave a" | | 10 | "The words landed like a" | | 11 | "she shot back" | | 12 | "A ghost of a smile" | | 13 | "She slid onto the stool" | | 14 | "The leather creaked, worn smooth" | | 15 | "The Raven’s Nest smelled the" | | 16 | "Some things never changed." | | 17 | "Silas signalled the bartender without" | | 18 | "The bartender raised an eyebrow" | | 19 | "Silas, however, let out a" |
| | ratio | 0.77 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 87 | | matches | | 0 | "Because despite everything—despite the fear," | | 1 | "Before she could respond, the" |
| | ratio | 0.023 | |
| 61.22% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 4 | | matches | | 0 | "Silas lifted his glass, swirling the amber liquid before taking a slow sip." | | 1 | "She looked away, her gaze landing on the black-and-white photographs lining the walls." | | 2 | "The alternative was being the kind of man who sat at home, staring at the walls, wondering where it all went wrong." | | 3 | "But it wasn’t the hood that made her blood run cold—it was the gun in his hand." |
| |
| 83.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 1 | | matches | | 0 | "She studied, the set of his jaw harder" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 46 | | tagDensity | 0.152 | | leniency | 0.304 | | rawRatio | 0.143 | | effectiveRatio | 0.043 | |