| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 18 | | tagDensity | 0.278 | | leniency | 0.556 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1720 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 56.40% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1720 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "pulsed" | | 1 | "flickered" | | 2 | "echo" | | 3 | "silence" | | 4 | "silk" | | 5 | "weight" | | 6 | "tinged" | | 7 | "standard" | | 8 | "pulse" | | 9 | "loomed" |
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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 | 238 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 3 | | narrationSentences | 238 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 251 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 36 | | totalWords | 1720 | | ratio | 0.021 | | matches | | 0 | "Time moves differently. An hour inside can be minutes or days outside." | | 1 | "Something that doesn't want to be seen." | | 2 | "Fed." | | 3 | "If the dark grows teeth, run. Don't look back. They can't follow past the standing stones." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 48 | | wordCount | 1645 | | uniqueNames | 21 | | maxNameDensity | 0.61 | | worstName | "Fae" | | maxWindowNameDensity | 2 | | worstWindowName | "Fae" | | discoveredNames | | Hel | 1 | | Richmond | 3 | | Park | 3 | | Tuesday | 1 | | Fae | 10 | | London | 5 | | Isolde | 4 | | Earth | 2 | | Eva | 2 | | Friday | 3 | | Tesco | 1 | | Express | 1 | | King | 1 | | Road | 1 | | Fae-touched | 2 | | Ogham | 1 | | Carter | 1 | | British | 1 | | Museum | 1 | | Silas | 1 | | Three | 3 |
| | persons | | 0 | "Isolde" | | 1 | "Eva" | | 2 | "King" | | 3 | "Road" | | 4 | "Carter" | | 5 | "Silas" |
| | places | | 0 | "Hel" | | 1 | "Richmond" | | 2 | "Park" | | 3 | "Fae" | | 4 | "London" | | 5 | "Earth" | | 6 | "Tesco" | | 7 | "Fae-touched" | | 8 | "British" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 107 | | glossingSentenceCount | 1 | | matches | | 0 | "spiral that seemed to turn as I watched" |
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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 | 1720 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 251 | | matches | | 0 | "filed that contradiction" | | 1 | "use that knowledge" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 91 | | mean | 18.9 | | std | 15.34 | | cv | 0.811 | | sampleLengths | | 0 | 7 | | 1 | 33 | | 2 | 21 | | 3 | 64 | | 4 | 12 | | 5 | 24 | | 6 | 21 | | 7 | 3 | | 8 | 9 | | 9 | 50 | | 10 | 12 | | 11 | 18 | | 12 | 1 | | 13 | 56 | | 14 | 5 | | 15 | 10 | | 16 | 1 | | 17 | 29 | | 18 | 7 | | 19 | 6 | | 20 | 29 | | 21 | 7 | | 22 | 27 | | 23 | 37 | | 24 | 4 | | 25 | 1 | | 26 | 2 | | 27 | 40 | | 28 | 7 | | 29 | 16 | | 30 | 35 | | 31 | 41 | | 32 | 13 | | 33 | 16 | | 34 | 5 | | 35 | 37 | | 36 | 31 | | 37 | 17 | | 38 | 42 | | 39 | 26 | | 40 | 5 | | 41 | 3 | | 42 | 30 | | 43 | 2 | | 44 | 3 | | 45 | 3 | | 46 | 40 | | 47 | 10 | | 48 | 27 | | 49 | 17 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 238 | | matches | | 0 | "was worked" | | 1 | "was invented" |
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| 75.62% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 268 | | matches | | 0 | "was listening" | | 1 | "wasn't running" | | 2 | "wasn't standing" | | 3 | "was not talking" | | 4 | "was talking" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 251 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1659 | | adjectiveStacks | 1 | | stackExamples | | 0 | "cold beyond cold, burning" |
| | adverbCount | 43 | | adverbRatio | 0.02591922845087402 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.004822182037371911 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 251 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 251 | | mean | 6.85 | | std | 5.85 | | cv | 0.853 | | sampleLengths | | 0 | 7 | | 1 | 2 | | 2 | 2 | | 3 | 21 | | 4 | 5 | | 5 | 3 | | 6 | 21 | | 7 | 6 | | 8 | 8 | | 9 | 20 | | 10 | 5 | | 11 | 1 | | 12 | 24 | | 13 | 4 | | 14 | 3 | | 15 | 5 | | 16 | 9 | | 17 | 11 | | 18 | 1 | | 19 | 3 | | 20 | 4 | | 21 | 3 | | 22 | 1 | | 23 | 13 | | 24 | 3 | | 25 | 9 | | 26 | 9 | | 27 | 19 | | 28 | 8 | | 29 | 14 | | 30 | 3 | | 31 | 9 | | 32 | 4 | | 33 | 2 | | 34 | 12 | | 35 | 1 | | 36 | 11 | | 37 | 10 | | 38 | 19 | | 39 | 12 | | 40 | 4 | | 41 | 5 | | 42 | 4 | | 43 | 1 | | 44 | 5 | | 45 | 1 | | 46 | 4 | | 47 | 2 | | 48 | 23 | | 49 | 2 |
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| 64.14% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 24 | | diversityRatio | 0.44223107569721115 | | totalSentences | 251 | | uniqueOpeners | 111 | |
| 93.11% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 179 | | matches | | 0 | "Just the ancient oak standing" | | 1 | "Only flower that could counteract" | | 2 | "Too vivid for Earth." | | 3 | "Just the grass, still swaying." | | 4 | "Just dirt the colour of" |
| | ratio | 0.028 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 179 | | matches | | 0 | "I'd mapped this location three" | | 1 | "I needed a specific bloom." | | 2 | "My torch beam swept across" | | 3 | "I shook the torch." | | 4 | "I muttered, and stepped between" | | 5 | "My breath misted silver, and" | | 6 | "I checked my watch." | | 7 | "I swung the torch." | | 8 | "I turned faster this time." | | 9 | "My hand went to the" | | 10 | "I walked deeper." | | 11 | "I didn't touch it." | | 12 | "I kept walking." | | 13 | "I knelt at the bank." | | 14 | "I could see them." | | 15 | "I filed that contradiction with" | | 16 | "I sawed through it, wrapped" | | 17 | "I could see a fifth" | | 18 | "I took a step downstream." | | 19 | "I didn't turn." |
| | ratio | 0.196 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 126 | | totalSentences | 179 | | matches | | 0 | "The pendant burned cold against" | | 1 | "The heartstone only pulsed warm" | | 2 | "I'd mapped this location three" | | 3 | "The grove existed in a" | | 4 | "I needed a specific bloom." | | 5 | "Eva was alive." | | 6 | "The oath's deadline was Friday." | | 7 | "My torch beam swept across" | | 8 | "Lichen crusted its surface in" | | 9 | "The light flickered." | | 10 | "I shook the torch." | | 11 | "Batteries were fresh." | | 12 | "The beam steadied." | | 13 | "I muttered, and stepped between" | | 14 | "The temperature dropped fifteen degrees" | | 15 | "My breath misted silver, and" | | 16 | "An hour inside can be" | | 17 | "I checked my watch." | | 18 | "The second hand ticked forward" | | 19 | "The grove sprawled before me," |
| | ratio | 0.704 | |
| 27.93% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 179 | | matches | | 0 | "*If the dark grows teeth," |
| | ratio | 0.006 | |
| 25.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 9 | | matches | | 0 | "My breath misted silver, and the grass beneath my trainers crackled with frost that hadn't existed a moment ago." | | 1 | "Wildflowers nodded their heads in colours that seemed too vivid for night." | | 2 | "This was worked stone, knee-high, carved with symbols that might have been Ogham or might have been something older." | | 3 | "Something that made my eyes water when I looked too long." | | 4 | "Like something beneath the surface shifted its weight, sending ripples outward in concentric rings that broke every law of fluid dynamics I remembered from sixt…" | | 5 | "Something the grove itself had birthed from the spaces between realms, the cracks in time, the hungry dark that filled the gaps where physics broke down." | | 6 | "A wall of wrongness that tried to buckle my knees and turn my bones to water." | | 7 | "The little things gave chase, chittering in frequencies that made my fillings ache." | | 8 | "The shadow shape rose behind me, and I felt it reach, felt fingers that weren't fingers brush the back of my neck." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 38.89% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "I muttered (mutter)" | | 1 | "I whispered (whisper)" |
| | dialogueSentences | 18 | | tagDensity | 0.222 | | leniency | 0.444 | | rawRatio | 0.5 | | effectiveRatio | 0.222 | |