| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 2 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 84.87% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 661 | | 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) | |
| 1.66% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 661 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "footsteps" | | 1 | "warmth" | | 2 | "stark" | | 3 | "loomed" | | 4 | "pulse" | | 5 | "whisper" | | 6 | "pounding" | | 7 | "tinge" | | 8 | "familiar" | | 9 | "resolved" |
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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 | 0 | | narrationSentences | 46 | | matches | (empty) | |
| 49.69% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 46 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "appeared to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 46 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 663 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 95.48% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 642 | | uniqueNames | 6 | | maxNameDensity | 1.09 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Heartstone | 1 | | Grove | 5 | | Hel | 1 | | Aurora | 7 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Grove" |
| | globalScore | 0.955 | | windowScore | 1 | |
| 30.95% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 42 | | glossingSentenceCount | 2 | | matches | | 0 | "seemed muffled as if the Grove was swallowing all sound" | | 1 | "as if rotting away" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 663 | | matches | (empty) | |
| 94.20% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 46 | | matches | | |
| 26.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 17 | | mean | 39 | | std | 9.4 | | cv | 0.241 | | sampleLengths | | 0 | 37 | | 1 | 47 | | 2 | 36 | | 3 | 41 | | 4 | 40 | | 5 | 24 | | 6 | 10 | | 7 | 48 | | 8 | 48 | | 9 | 49 | | 10 | 41 | | 11 | 35 | | 12 | 45 | | 13 | 38 | | 14 | 38 | | 15 | 42 | | 16 | 44 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 46 | | matches | (empty) | |
| 82.01% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 113 | | matches | | 0 | "was swallowing" | | 1 | "was causing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 46 | | ratio | 0.065 | | matches | | 0 | "Their ancient faces bore marks and symbols she'd never noticed in daylight - or perhaps they hadn't been there before." | | 1 | "The clearing looked different - the trees were too tall, their branches reaching like grasping fingers toward a sky that seemed much further away than it should be." | | 2 | "In that instant of clarity, Aurora saw what waited in the darkness beyond the standing stones - and she ran, her scream strangled in her throat before it could escape." |
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| 95.76% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 446 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.04484304932735426 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.004484304932735426 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 46 | | echoCount | 0 | | echoWords | (empty) | |
| 97.90% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 46 | | mean | 14.41 | | std | 5.69 | | cv | 0.395 | | sampleLengths | | 0 | 15 | | 1 | 22 | | 2 | 12 | | 3 | 20 | | 4 | 15 | | 5 | 19 | | 6 | 17 | | 7 | 12 | | 8 | 16 | | 9 | 13 | | 10 | 19 | | 11 | 4 | | 12 | 17 | | 13 | 6 | | 14 | 11 | | 15 | 7 | | 16 | 10 | | 17 | 15 | | 18 | 20 | | 19 | 13 | | 20 | 12 | | 21 | 14 | | 22 | 22 | | 23 | 16 | | 24 | 5 | | 25 | 28 | | 26 | 7 | | 27 | 21 | | 28 | 13 | | 29 | 6 | | 30 | 15 | | 31 | 14 | | 32 | 12 | | 33 | 19 | | 34 | 14 | | 35 | 17 | | 36 | 17 | | 37 | 4 | | 38 | 6 | | 39 | 14 | | 40 | 18 | | 41 | 10 | | 42 | 19 | | 43 | 13 | | 44 | 14 | | 45 | 30 |
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| 60.87% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.391304347826087 | | totalSentences | 46 | | uniqueOpeners | 18 | |
| 74.07% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 45 | | matches | | 0 | "Even her footsteps seemed muffled," |
| | ratio | 0.022 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 9 | | totalSentences | 45 | | matches | | 0 | "She'd been to the Grove" | | 1 | "she muttered, her breath forming" | | 2 | "She spun around, but the" | | 3 | "Her voice fell flat, absorbed" | | 4 | "Their ancient faces bore marks" | | 5 | "She needed to focus on" | | 6 | "She whirled again, heart pounding." | | 7 | "Her breath came in sharp" | | 8 | "It moved with a liquid" |
| | ratio | 0.2 | |
| 60.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 36 | | totalSentences | 45 | | matches | | 0 | "Aurora's footsteps crunched through frost-covered" | | 1 | "The Heartstone pendant thumped against" | | 2 | "Moonlight filtered through bare branches" | | 3 | "She'd been to the Grove" | | 4 | "The ancient oak standing stones" | | 5 | "she muttered, her breath forming" | | 6 | "The pendant had been pulsing" | | 7 | "The normal sounds of distant" | | 8 | "The wildflowers that usually dotted" | | 9 | "Aurora stopped, studying them." | | 10 | "The blooms seemed to pulse" | | 11 | "A twig snapped somewhere behind" | | 12 | "She spun around, but the" | | 13 | "The pendant's warmth intensified against" | | 14 | "Her voice fell flat, absorbed" | | 15 | "The standing stones seemed to" | | 16 | "Their ancient faces bore marks" | | 17 | "The longer she stared, the" | | 18 | "Aurora forced herself to look" | | 19 | "She needed to focus on" |
| | ratio | 0.8 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 45 | | matches | (empty) | | ratio | 0 | |
| 20.41% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 6 | | matches | | 0 | "Even her footsteps seemed muffled, as if the Grove was swallowing all sound." | | 1 | "But as she moved deeper into the Grove, each step felt wrong, as if the ground wasn't quite solid beneath her feet." | | 2 | "The clearing looked different - the trees were too tall, their branches reaching like grasping fingers toward a sky that seemed much further away than it should…" | | 3 | "In their illumination, Aurora could see that the grass beneath her feet had turned black, as if rotting away." | | 4 | "Through its chain, she felt vibrations that matched the rhythm of the pulsing flowers." | | 5 | "The whispers resolved into a single voice, speaking words that made her teeth ache and her vision blur." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 1 | | matches | | 0 | "she muttered, her breath forming clouds in the frigid air" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 2 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 1 | | effectiveRatio | 1 | |