| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "Silas said gently [gently]" |
| | dialogueSentences | 38 | | tagDensity | 0.316 | | leniency | 0.632 | | rawRatio | 0.083 | | effectiveRatio | 0.053 | |
| 84.26% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1588 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slowly" | | 1 | "suddenly" | | 2 | "gently" | | 3 | "slightly" |
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| 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) | |
| 55.92% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1588 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "kaleidoscope" | | 1 | "chill" | | 2 | "familiar" | | 3 | "electric" | | 4 | "silence" | | 5 | "sentinels" | | 6 | "scanned" | | 7 | "etched" | | 8 | "rhythmic" | | 9 | "predator" | | 10 | "tension" | | 11 | "weight" | | 12 | "reminder" |
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| 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 | 91 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 91 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 117 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 3 | | totalWords | 1580 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 1223 | | uniqueNames | 8 | | maxNameDensity | 0.74 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Silas" | | discoveredNames | | Carter | 1 | | Cardiff | 2 | | Raven | 1 | | Rory | 9 | | Bar | 1 | | Evan | 2 | | Prague | 1 | | Silas | 8 |
| | persons | | 0 | "Carter" | | 1 | "Raven" | | 2 | "Rory" | | 3 | "Evan" | | 4 | "Silas" |
| | places | | 0 | "Cardiff" | | 1 | "Bar" | | 2 | "Prague" |
| | globalScore | 1 | | windowScore | 1 | |
| 38.06% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 3 | | matches | | 0 | "chill that seemed to seep straight through to the bone" | | 1 | "felt like stepping into a time capsule" | | 2 | "felt like a brand" |
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| 73.42% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.266 | | wordCount | 1580 | | matches | | 0 | "not in the ways that mattered, but the years had etched themselves deeper into the landscape of" | | 1 | "not as a burden, but as a foundation" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 117 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 31.6 | | std | 26.69 | | cv | 0.845 | | sampleLengths | | 0 | 78 | | 1 | 74 | | 2 | 3 | | 3 | 78 | | 4 | 55 | | 5 | 29 | | 6 | 103 | | 7 | 19 | | 8 | 5 | | 9 | 57 | | 10 | 21 | | 11 | 27 | | 12 | 15 | | 13 | 1 | | 14 | 54 | | 15 | 37 | | 16 | 2 | | 17 | 8 | | 18 | 14 | | 19 | 17 | | 20 | 29 | | 21 | 4 | | 22 | 6 | | 23 | 62 | | 24 | 21 | | 25 | 6 | | 26 | 36 | | 27 | 77 | | 28 | 69 | | 29 | 57 | | 30 | 5 | | 31 | 51 | | 32 | 2 | | 33 | 76 | | 34 | 63 | | 35 | 40 | | 36 | 14 | | 37 | 27 | | 38 | 28 | | 39 | 18 | | 40 | 15 | | 41 | 2 | | 42 | 2 | | 43 | 16 | | 44 | 47 | | 45 | 48 | | 46 | 15 | | 47 | 2 | | 48 | 2 | | 49 | 43 |
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| 97.55% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 91 | | matches | | 0 | "been kept" | | 1 | "was dusted" |
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| 99.50% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 199 | | matches | | 0 | "was weeping" | | 1 | "was passing" | | 2 | "was drying" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 117 | | ratio | 0.051 | | matches | | 0 | "The air inside was different—still, dry, scented with lemon polish, stale tobacco, and the sharp, yeasty tang of lager." | | 1 | "He didn't smile, but his eyes—a piercing hazel that could dissect a lie in seconds—softened." | | 2 | "She looked at the man standing before her—the grey streaks in his hair, the weather-beaten skin, the absolute stillness of a man who had seen the worst of humanity and decided to open a bar anyway." | | 3 | "He looked more like the retired grandfather he pretended to be, but the eyes—those eyes missed nothing." | | 4 | "Rory watched him for a moment—the silhouette of the mentor, the friend, the keeper of secrets." | | 5 | "She walked toward the back of the room, toward the bookshelf that concealed the stairs to the upper floors, feeling the weight of the years settle—not as a burden, but as a foundation." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1239 | | adjectiveStacks | 2 | | stackExamples | | 0 | "familiar, electric green buzz" | | 1 | "small crescent-shaped scar" |
| | adverbCount | 42 | | adverbRatio | 0.03389830508474576 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.0129136400322841 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 117 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 117 | | mean | 13.5 | | std | 9.81 | | cv | 0.726 | | sampleLengths | | 0 | 21 | | 1 | 25 | | 2 | 5 | | 3 | 27 | | 4 | 7 | | 5 | 37 | | 6 | 30 | | 7 | 3 | | 8 | 6 | | 9 | 16 | | 10 | 19 | | 11 | 37 | | 12 | 14 | | 13 | 14 | | 14 | 27 | | 15 | 13 | | 16 | 10 | | 17 | 6 | | 18 | 11 | | 19 | 16 | | 20 | 22 | | 21 | 26 | | 22 | 28 | | 23 | 3 | | 24 | 16 | | 25 | 5 | | 26 | 5 | | 27 | 24 | | 28 | 28 | | 29 | 5 | | 30 | 16 | | 31 | 5 | | 32 | 15 | | 33 | 7 | | 34 | 3 | | 35 | 12 | | 36 | 1 | | 37 | 21 | | 38 | 8 | | 39 | 17 | | 40 | 8 | | 41 | 30 | | 42 | 7 | | 43 | 2 | | 44 | 8 | | 45 | 3 | | 46 | 10 | | 47 | 1 | | 48 | 17 | | 49 | 15 |
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| 31.20% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 22 | | diversityRatio | 0.2564102564102564 | | totalSentences | 117 | | uniqueOpeners | 30 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 86 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 51 | | totalSentences | 86 | | matches | | 0 | "It had been three years." | | 1 | "She hadn’t planned to come" | | 2 | "It swung inward with the" | | 3 | "It was a smell that" | | 4 | "She scanned the room, her" | | 5 | "She expected to see a" | | 6 | "She didn’t expect to see" | | 7 | "He hadn’t changed, not in" | | 8 | "He was drying a glass" | | 9 | "He looked up." | | 10 | "She felt twenty again, standing" | | 11 | "She felt the ghost of" | | 12 | "She walked to the bar." | | 13 | "He didn't smile, but his" | | 14 | "He placed the cloth on" | | 15 | "His voice was the same," | | 16 | "He rounded the end of" | | 17 | "He didn't approach her, didn't" | | 18 | "He respected the perimeter she" | | 19 | "He reached for a bottle" |
| | ratio | 0.593 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 80 | | totalSentences | 86 | | matches | | 0 | "Soho was weeping, a cold," | | 1 | "Aurora Carter pulled her coat" | | 2 | "It had been three years." | | 3 | "She hadn’t planned to come" | | 4 | "The flat above the bar" | | 5 | "*The Raven’s Nest.*" | | 6 | "Rory pushed the heavy oak" | | 7 | "It swung inward with the" | | 8 | "The air inside was different—still," | | 9 | "It was a smell that" | | 10 | "The bar was dimly lit," | | 11 | "Rory stood in the doorway" | | 12 | "She scanned the room, her" | | 13 | "She expected to see a" | | 14 | "She didn’t expect to see" | | 15 | "Silas was behind the mahogany," | | 16 | "He hadn’t changed, not in" | | 17 | "The auburn hair was dusted" | | 18 | "He was drying a glass" | | 19 | "He looked up." |
| | ratio | 0.93 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 86 | | matches | | 0 | "Yet, her feet had carried" | | 1 | "Even from across the room," |
| | ratio | 0.023 | |
| 11.66% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 9 | | matches | | 0 | "Soho was weeping, a cold, drizzling misery that slicked the cobblestones and reflected the kaleidoscope of neon signs in greasy puddles." | | 1 | "Aurora Carter pulled her coat tighter around herself, the collar turned up against the damp chill that seemed to seep straight through to the bone." | | 2 | "It was a smell that punched a hole through her composure, dragging her back to a time when her biggest worry was passing the Bar or hiding the bruises on her ar…" | | 3 | "The auburn hair was dusted more heavily with grey now, the neatly trimmed beard framing a mouth that looked set in a permanent line of contemplation." | | 4 | "Each step felt heavy, weighted by the unsaid things that had piled up over thirty-six months." | | 5 | "He reached out, his hand hovering over hers for a fraction of a second before he pulled back, respecting the space." | | 6 | "She looked at the man standing before her—the grey streaks in his hair, the weather-beaten skin, the absolute stillness of a man who had seen the worst of human…" | | 7 | "She realized then that while she had been running from her past, trying to shed her skin like a snake, he had been standing still, holding the center, keeping t…" | | 8 | "She walked toward the back of the room, toward the bookshelf that concealed the stairs to the upper floors, feeling the weight of the years settle—not as a burd…" |
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| 83.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, her voice quieter now" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 38 | | tagDensity | 0.158 | | leniency | 0.316 | | rawRatio | 0.167 | | effectiveRatio | 0.053 | |