| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 26 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 53 | | tagDensity | 0.491 | | leniency | 0.981 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.27% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1146 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 34.55% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1146 | | totalAiIsms | 15 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | word | "down her spine" | | count | 1 |
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| | highlights | | 0 | "scanned" | | 1 | "echoed" | | 2 | "etched" | | 3 | "intricate" | | 4 | "whisper" | | 5 | "raced" | | 6 | "unwavering" | | 7 | "glint" | | 8 | "jaw clenched" | | 9 | "scanning" | | 10 | "chill" | | 11 | "down her spine" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
| | 1 | | label | "sent a shiver through" | | count | 1 |
|
| | highlights | | 0 | "jaw clenched" | | 1 | "sent a chill down" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 82 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 82 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 108 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1139 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 9.69% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 51 | | wordCount | 784 | | uniqueNames | 10 | | maxNameDensity | 2.81 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Harlow | 1 | | Quinn | 22 | | Evan | 1 | | Carter | 16 | | Morris | 1 | | Veil | 1 | | Market | 2 | | Kowalski | 1 | | Eva | 5 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Evan" | | 3 | "Carter" | | 4 | "Morris" | | 5 | "Kowalski" | | 6 | "Eva" |
| | places | (empty) | | globalScore | 0.097 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | 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 | 1139 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 108 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 24.23 | | std | 15.59 | | cv | 0.643 | | sampleLengths | | 0 | 65 | | 1 | 23 | | 2 | 21 | | 3 | 43 | | 4 | 34 | | 5 | 29 | | 6 | 63 | | 7 | 35 | | 8 | 27 | | 9 | 31 | | 10 | 29 | | 11 | 38 | | 12 | 38 | | 13 | 17 | | 14 | 39 | | 15 | 45 | | 16 | 13 | | 17 | 5 | | 18 | 9 | | 19 | 39 | | 20 | 8 | | 21 | 28 | | 22 | 3 | | 23 | 41 | | 24 | 5 | | 25 | 43 | | 26 | 3 | | 27 | 10 | | 28 | 29 | | 29 | 16 | | 30 | 11 | | 31 | 42 | | 32 | 7 | | 33 | 12 | | 34 | 21 | | 35 | 20 | | 36 | 11 | | 37 | 40 | | 38 | 8 | | 39 | 24 | | 40 | 8 | | 41 | 24 | | 42 | 4 | | 43 | 28 | | 44 | 36 | | 45 | 6 | | 46 | 8 |
| |
| 96.71% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 82 | | matches | | 0 | "been erected" | | 1 | "was gone" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 151 | | matches | (empty) | |
| 89.95% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 108 | | ratio | 0.019 | | matches | | 0 | "Her flashlight caught something—a glint of metal beneath the rubble." | | 1 | "Quinn’s gaze swept the market, taking in the strange wares—enchanted objects, potions, creatures she couldn’t name." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 789 | | adjectiveStacks | 1 | | stackExamples | | 0 | "illuminating graffiti-covered walls" |
| | adverbCount | 18 | | adverbRatio | 0.022813688212927757 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.011406844106463879 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 108 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 108 | | mean | 10.55 | | std | 6.18 | | cv | 0.586 | | sampleLengths | | 0 | 10 | | 1 | 14 | | 2 | 23 | | 3 | 18 | | 4 | 7 | | 5 | 14 | | 6 | 2 | | 7 | 6 | | 8 | 11 | | 9 | 4 | | 10 | 15 | | 11 | 11 | | 12 | 17 | | 13 | 10 | | 14 | 17 | | 15 | 7 | | 16 | 12 | | 17 | 9 | | 18 | 6 | | 19 | 2 | | 20 | 19 | | 21 | 15 | | 22 | 26 | | 23 | 3 | | 24 | 10 | | 25 | 18 | | 26 | 4 | | 27 | 3 | | 28 | 5 | | 29 | 22 | | 30 | 8 | | 31 | 23 | | 32 | 15 | | 33 | 14 | | 34 | 13 | | 35 | 20 | | 36 | 5 | | 37 | 11 | | 38 | 27 | | 39 | 3 | | 40 | 14 | | 41 | 10 | | 42 | 24 | | 43 | 5 | | 44 | 3 | | 45 | 9 | | 46 | 6 | | 47 | 12 | | 48 | 15 | | 49 | 13 |
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| 66.36% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.39814814814814814 | | totalSentences | 108 | | uniqueOpeners | 43 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 77 | | matches | | 0 | "She adjusted the worn leather" | | 1 | "She moved past him, her" | | 2 | "He hesitated, scratching the back" | | 3 | "She frowned, her brown eyes" | | 4 | "He gestured toward a collection" | | 5 | "He held up a small" | | 6 | "Her jaw tightened further." | | 7 | "She held up the compass," | | 8 | "She turned to Carter, her" | | 9 | "He gestured to the body" | | 10 | "She’d buried herself in work" | | 11 | "she said, her tone brooking" | | 12 | "Her flashlight illuminated the pile" | | 13 | "Her flashlight caught something—a glint" | | 14 | "She reached out, brushing away" | | 15 | "Her grip tightened on the" | | 16 | "She shook him off, her" | | 17 | "She gestured to the item" | | 18 | "She trailed off, her green" | | 19 | "Her gaze settled on a" |
| | ratio | 0.286 | |
| 24.94% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 67 | | totalSentences | 77 | | matches | | 0 | "The abandoned Tube station reeked" | | 1 | "Detective Harlow Quinn stepped off" | | 2 | "The dim glow of her" | | 3 | "She adjusted the worn leather" | | 4 | "A voice echoed from the" | | 5 | "DS Evan Carter emerged, his" | | 6 | "Quinn replied, her voice clipped" | | 7 | "She moved past him, her" | | 8 | "Carter gestured toward the center" | | 9 | "Candles, long extinguished, surrounded a" | | 10 | "Carter began, pulling a notebook" | | 11 | "He hesitated, scratching the back" | | 12 | "Quinn knelt beside the body," | | 13 | "She frowned, her brown eyes" | | 14 | "Carter crouched beside her, his" | | 15 | "He gestured toward a collection" | | 16 | "He held up a small" | | 17 | "Quinn took the compass, her" | | 18 | "The needle spun wildly before" | | 19 | "Her jaw tightened further." |
| | ratio | 0.87 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 98.21% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 2 | | matches | | 0 | "Carter hesitated, his eyes darting to the alcoves surrounding the platform." | | 1 | "Their eyes glowed faintly, a predatory gleam that sent a chill down her spine." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 26 | | uselessAdditionCount | 10 | | matches | | 0 | "Quinn replied, her voice clipped" | | 1 | "Carter crouched, his breath visible in the cold air" | | 2 | "She held up, her frown deepening" | | 3 | "She turned, her voice low" | | 4 | "Carter admitted, his voice dropping to a whisper" | | 5 | "she said, her tone brooking no argument" | | 6 | "Quinn ordered, her voice firm" | | 7 | "Eva Kowalski greeted, her voice steady despite the tremor in her hands" | | 8 | "She trailed, her green eyes wide with fear" | | 9 | "she called, her voice sharp" |
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| 17.92% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 7 | | fancyTags | | 0 | "Carter admitted (admit)" | | 1 | "Carter muttered (mutter)" | | 2 | "Carter whispered (whisper)" | | 3 | "she murmured (murmur)" | | 4 | "Carter hissed (hiss)" | | 5 | "Quinn ordered (order)" | | 6 | "Quinn demanded (demand)" |
| | dialogueSentences | 53 | | tagDensity | 0.189 | | leniency | 0.377 | | rawRatio | 0.7 | | effectiveRatio | 0.264 | |