| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 40 | | adverbTagCount | 3 | | adverbTags | | 0 | "he said finally [finally]" | | 1 | "she said finally [finally]" | | 2 | "he said quietly [quietly]" |
| | dialogueSentences | 134 | | tagDensity | 0.299 | | leniency | 0.597 | | rawRatio | 0.075 | | effectiveRatio | 0.045 | |
| 84.09% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1571 | | totalAiIsmAdverbs | 5 | | found | | 0 | | | 1 | | adverb | "deliberately" | | count | 1 |
| | 2 | | | 3 | |
| | highlights | | 0 | "really" | | 1 | "deliberately" | | 2 | "suddenly" | | 3 | "slowly" |
| |
| 80.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 52.26% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1571 | | totalAiIsms | 15 | | found | | 0 | | word | "practiced ease" | | count | 1 |
| | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | |
| | highlights | | 0 | "practiced ease" | | 1 | "trembled" | | 2 | "silence" | | 3 | "implication" | | 4 | "eyebrow" | | 5 | "comforting" | | 6 | "perfect" | | 7 | "traced" | | 8 | "complex" | | 9 | "pulse" | | 10 | "quickened" | | 11 | "tracing" | | 12 | "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 | 0 | | narrationSentences | 106 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 106 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 199 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1561 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 52 | | wordCount | 838 | | uniqueNames | 16 | | maxNameDensity | 1.91 | | worstName | "Connor" | | maxWindowNameDensity | 4 | | worstWindowName | "Connor" | | discoveredNames | | Aurora | 10 | | Walsh | 2 | | Raven | 2 | | Nest | 2 | | Cardiff | 1 | | Silas | 8 | | Thursday | 1 | | Welsh | 2 | | Connor | 16 | | Silence | 1 | | City | 1 | | Recognition | 2 | | Financial | 1 | | Strategy | 1 | | Consultant | 1 | | London | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Walsh" | | 2 | "Raven" | | 3 | "Nest" | | 4 | "Silas" | | 5 | "Connor" | | 6 | "Silence" | | 7 | "Recognition" |
| | places | | | globalScore | 0.545 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1561 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 199 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 119 | | mean | 13.12 | | std | 9.77 | | cv | 0.745 | | sampleLengths | | 0 | 35 | | 1 | 15 | | 2 | 21 | | 3 | 44 | | 4 | 12 | | 5 | 2 | | 6 | 20 | | 7 | 17 | | 8 | 2 | | 9 | 7 | | 10 | 29 | | 11 | 12 | | 12 | 16 | | 13 | 2 | | 14 | 23 | | 15 | 33 | | 16 | 15 | | 17 | 13 | | 18 | 13 | | 19 | 19 | | 20 | 21 | | 21 | 13 | | 22 | 5 | | 23 | 21 | | 24 | 4 | | 25 | 29 | | 26 | 11 | | 27 | 20 | | 28 | 3 | | 29 | 2 | | 30 | 3 | | 31 | 30 | | 32 | 9 | | 33 | 2 | | 34 | 28 | | 35 | 6 | | 36 | 5 | | 37 | 3 | | 38 | 17 | | 39 | 2 | | 40 | 22 | | 41 | 4 | | 42 | 14 | | 43 | 34 | | 44 | 4 | | 45 | 16 | | 46 | 5 | | 47 | 6 | | 48 | 17 | | 49 | 14 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 106 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 162 | | matches | (empty) | |
| 28.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 199 | | ratio | 0.04 | | matches | | 0 | "Recognition bloomed across his face—surprise, confusion, then something she couldn't quite name." | | 1 | "Different somehow—crisper, more contained." | | 2 | "\"Clearly.\" Connor's gaze swept over her—the black hair she'd dyed from its natural auburn, the sleeve tattoo concealing her left arm." | | 3 | "\"Work.\" He twisted the heavy silver ring on his right hand—new, and distinctly not his style." | | 4 | "Once, they could talk until sunrise without pause—about literature, philosophy, the shapes they imagined their lives might take." | | 5 | "She'd left without goodbye, without explanation—fled in the night like a thief." | | 6 | "The corporate mask slipped, revealing the boy she'd known—sensitive, uncertain, desperately trying to do right and often failing." | | 7 | "\"Of course.\" He pulled on his coat—expensive, tasteful, nothing like the frayed army surplus jacket he'd worn in university." |
| |
| 98.84% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 847 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 35 | | adverbRatio | 0.04132231404958678 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.014167650531286895 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 199 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 199 | | mean | 7.84 | | std | 5.42 | | cv | 0.691 | | sampleLengths | | 0 | 14 | | 1 | 21 | | 2 | 13 | | 3 | 2 | | 4 | 3 | | 5 | 13 | | 6 | 5 | | 7 | 25 | | 8 | 2 | | 9 | 4 | | 10 | 13 | | 11 | 5 | | 12 | 7 | | 13 | 2 | | 14 | 15 | | 15 | 5 | | 16 | 13 | | 17 | 4 | | 18 | 2 | | 19 | 7 | | 20 | 8 | | 21 | 10 | | 22 | 11 | | 23 | 8 | | 24 | 4 | | 25 | 3 | | 26 | 13 | | 27 | 2 | | 28 | 16 | | 29 | 7 | | 30 | 21 | | 31 | 3 | | 32 | 9 | | 33 | 3 | | 34 | 12 | | 35 | 13 | | 36 | 7 | | 37 | 6 | | 38 | 15 | | 39 | 4 | | 40 | 11 | | 41 | 4 | | 42 | 6 | | 43 | 13 | | 44 | 5 | | 45 | 11 | | 46 | 10 | | 47 | 4 | | 48 | 21 | | 49 | 8 |
| |
| 81.24% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.5025125628140703 | | totalSentences | 199 | | uniqueOpeners | 100 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 98 | | matches | | 0 | "Ever since she'd fled Cardiff," | | 1 | "Once, they could talk until" | | 2 | "Then he was gone, swallowed" |
| | ratio | 0.031 | |
| 48.57% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 42 | | totalSentences | 98 | | matches | | 0 | "He tossed her a rag" | | 1 | "Her hands trembled as she" | | 2 | "She untied her apron" | | 3 | "He pressed a glass of" | | 4 | "Her legs felt wooden as" | | 5 | "He spoke her name like" | | 6 | "She gripped her water glass" | | 7 | "He gestured to the empty" | | 8 | "She sat, skin prickling with" | | 9 | "he asked, though she knew" | | 10 | "He smiled, but it didn't" | | 11 | "He twisted the heavy silver" | | 12 | "he said finally" | | 13 | "He sipped his whiskey" | | 14 | "He straightened his already perfect" | | 15 | "He cut her off" | | 16 | "His jaw tightened" | | 17 | "She'd left without goodbye, without" | | 18 | "he added, softer now" | | 19 | "His voice grew distant" |
| | ratio | 0.429 | |
| 26.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 85 | | totalSentences | 98 | | matches | | 0 | "The glass slipped from Aurora's" | | 1 | "Silas caught it with practiced" | | 2 | "He tossed her a rag" | | 3 | "Her hands trembled as she" | | 4 | "The soft planes of his" | | 5 | "Aurora tossed the rag into" | | 6 | "Silas followed her gaze across" | | 7 | "The offer hung between them," | | 8 | "Silas never made idle threats," | | 9 | "She untied her apron" | | 10 | "Silas's eyebrow lifted." | | 11 | "He pressed a glass of" | | 12 | "The Raven's Nest hummed with" | | 13 | "A blessing, really." | | 14 | "Her legs felt wooden as" | | 15 | "Connor looked up." | | 16 | "Recognition bloomed across his face—surprise," | | 17 | "He spoke her name like" | | 18 | "She gripped her water glass" | | 19 | "He gestured to the empty" |
| | ratio | 0.867 | |
| 51.02% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 98 | | matches | | 0 | "Now, they circled each other" |
| | ratio | 0.01 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 1 | | matches | | 0 | "But as she moved through the bar, she felt the weight of his gaze lingering, like a book left open to a chapter she'd never finished reading." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 40 | | uselessAdditionCount | 1 | | matches | | 0 | "Connor's gaze swept, the sleeve tattoo concealing her left arm" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 3 | | fancyTags | | 0 | "He pressed (press)" | | 1 | "He spoke (speak)" | | 2 | "he added (add)" |
| | dialogueSentences | 134 | | tagDensity | 0.075 | | leniency | 0.149 | | rawRatio | 0.3 | | effectiveRatio | 0.045 | |