| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 30 | | tagDensity | 0.367 | | leniency | 0.733 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 84.31% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 956 | | totalAiIsmAdverbs | 3 | | found | | 0 | | adverb | "barely above a whisper" | | count | 1 |
| | 1 | | | 2 | |
| | highlights | | 0 | "barely above a whisper" | | 1 | "carefully" | | 2 | "quickly" |
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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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 956 | | totalAiIsms | 22 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "scanning" | | 1 | "weight" | | 2 | "glint" | | 3 | "familiar" | | 4 | "tinged" | | 5 | "whisper" | | 6 | "pang" | | 7 | "flicked" | | 8 | "reminder" | | 9 | "complex" | | 10 | "tracing" | | 11 | "unspoken" | | 12 | "sense of" | | 13 | "resolve" | | 14 | "silence" | | 15 | "tension" | | 16 | "echoed" | | 17 | "warmth" | | 18 | "palpable" | | 19 | "unravel" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 76.92% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 3 | | narrationSentences | 52 | | matches | | 0 | "felt a twinge" | | 1 | "a wave of empathy" | | 2 | "a sense of resolve" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 52 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 71 | | 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 | 0 | | markdownWords | 0 | | totalWords | 957 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 49 | | wordCount | 700 | | uniqueNames | 9 | | maxNameDensity | 3 | | worstName | "Rory" | | maxWindowNameDensity | 6 | | worstWindowName | "Eva" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Carter | 1 | | Rory | 21 | | Blackwood | 1 | | Silas | 4 | | Eva | 18 | | Cardiff | 1 | | London | 1 |
| | persons | | 0 | "Raven" | | 1 | "Carter" | | 2 | "Rory" | | 3 | "Blackwood" | | 4 | "Silas" | | 5 | "Eva" |
| | places | | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | 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 | 957 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 71 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 31.9 | | std | 20.82 | | cv | 0.653 | | sampleLengths | | 0 | 101 | | 1 | 51 | | 2 | 16 | | 3 | 26 | | 4 | 81 | | 5 | 9 | | 6 | 46 | | 7 | 15 | | 8 | 65 | | 9 | 13 | | 10 | 28 | | 11 | 20 | | 12 | 24 | | 13 | 15 | | 14 | 42 | | 15 | 18 | | 16 | 29 | | 17 | 13 | | 18 | 30 | | 19 | 20 | | 20 | 51 | | 21 | 34 | | 22 | 23 | | 23 | 24 | | 24 | 21 | | 25 | 20 | | 26 | 27 | | 27 | 13 | | 28 | 35 | | 29 | 47 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 52 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 116 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 71 | | ratio | 0 | | matches | (empty) | |
| 91.77% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 705 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 30 | | adverbRatio | 0.0425531914893617 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.009929078014184398 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 71 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 71 | | mean | 13.48 | | std | 6.11 | | cv | 0.453 | | sampleLengths | | 0 | 17 | | 1 | 27 | | 2 | 20 | | 3 | 17 | | 4 | 20 | | 5 | 25 | | 6 | 16 | | 7 | 10 | | 8 | 11 | | 9 | 5 | | 10 | 21 | | 11 | 5 | | 12 | 11 | | 13 | 12 | | 14 | 23 | | 15 | 17 | | 16 | 18 | | 17 | 9 | | 18 | 14 | | 19 | 19 | | 20 | 13 | | 21 | 11 | | 22 | 4 | | 23 | 14 | | 24 | 10 | | 25 | 22 | | 26 | 19 | | 27 | 13 | | 28 | 15 | | 29 | 13 | | 30 | 11 | | 31 | 9 | | 32 | 10 | | 33 | 14 | | 34 | 4 | | 35 | 11 | | 36 | 14 | | 37 | 18 | | 38 | 10 | | 39 | 7 | | 40 | 11 | | 41 | 15 | | 42 | 14 | | 43 | 10 | | 44 | 3 | | 45 | 12 | | 46 | 18 | | 47 | 17 | | 48 | 3 | | 49 | 14 |
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| 64.79% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.4225352112676056 | | totalSentences | 71 | | uniqueOpeners | 30 | |
| 64.10% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 52 | | matches | | 0 | "Then, with a tentative smile," |
| | ratio | 0.019 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 52 | | matches | | 0 | "She sipped her beer, the" | | 1 | "It had been a long" | | 2 | "He glanced over at Rory" | | 3 | "he asked, his voice a" | | 4 | "It had been years since" | | 5 | "she said, her voice a" | | 6 | "Her eyes, though still warm," | | 7 | "It was a reminder of" | | 8 | "she asked, a hint of" | | 9 | "They sat in silence for" | | 10 | "she said, her eyes meeting" | | 11 | "They had a lot to" |
| | ratio | 0.231 | |
| 27.31% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 45 | | totalSentences | 52 | | matches | | 0 | "The Raven's Nest, with its" | | 1 | "Aurora Carter, known to most" | | 2 | "She sipped her beer, the" | | 3 | "It had been a long" | | 4 | "Silas Blackwood, the bar's owner" | | 5 | "He glanced over at Rory" | | 6 | "he asked, his voice a" | | 7 | "Rory replied, giving him a" | | 8 | "Silas's gaze drifted to the" | | 9 | "Rory turned her head, and" | | 10 | "The woman who had been" | | 11 | "It had been years since" | | 12 | "Eva had changed, her once" | | 13 | "Rory said, her voice barely" | | 14 | "Eva's eyes, a deep brown" | | 15 | "she said, her voice a" | | 16 | "Rory stood up, and they" | | 17 | "Eva's hair, once a wild" | | 18 | "Her eyes, though still warm," | | 19 | "Rory asked, gesturing for Eva" |
| | ratio | 0.865 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 52 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 1 | | matches | | 0 | "Inside, the dimly lit bar hummed with a quiet energy, the walls adorned with old maps and black-and-white photographs that spoke of distant lands and bygone era…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 5 | | matches | | 0 | "he asked, his voice a soft rumble" | | 1 | "Rory said, her voice barely above a whisper" | | 2 | "she said, her voice a mix of relief and hesitation" | | 3 | "Eva said, her voice soft" | | 4 | "she asked, a hint of challenge in her voice" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 30 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |