| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 23 | | tagDensity | 0.478 | | leniency | 0.957 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1143 | | 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) | |
| 25.63% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1143 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "warmth" | | 1 | "silence" | | 2 | "gloom" | | 3 | "dance" | | 4 | "echoed" | | 5 | "echo" | | 6 | "rhythmic" | | 7 | "footsteps" | | 8 | "treacherous" | | 9 | "charm" | | 10 | "shattered" | | 11 | "weight" | | 12 | "searing" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "knuckles turned white" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 100 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 100 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 112 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 10 | | totalWords | 1143 | | ratio | 0.009 | | matches | | 0 | "Deliver the package to the clearing before the hour strikes." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 1012 | | uniqueNames | 12 | | maxNameDensity | 0.3 | | worstName | "Heartstone" | | maxWindowNameDensity | 0.5 | | worstWindowName | "Heartstone" | | discoveredNames | | Heartstone | 3 | | Pendant | 1 | | Park | 2 | | Fae | 2 | | Grove | 2 | | Yu-Fei | 1 | | Simple | 1 | | Dead | 1 | | Evan | 2 | | Cardiff | 1 | | Hel | 1 | | Richmond | 2 |
| | persons | | 0 | "Pendant" | | 1 | "Yu-Fei" | | 2 | "Evan" |
| | places | | 0 | "Park" | | 1 | "Fae" | | 2 | "Grove" | | 3 | "Cardiff" | | 4 | "Richmond" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 76 | | 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 | 1143 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 112 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 24.85 | | std | 15.42 | | cv | 0.62 | | sampleLengths | | 0 | 23 | | 1 | 69 | | 2 | 29 | | 3 | 48 | | 4 | 7 | | 5 | 36 | | 6 | 15 | | 7 | 14 | | 8 | 52 | | 9 | 17 | | 10 | 40 | | 11 | 36 | | 12 | 3 | | 13 | 41 | | 14 | 1 | | 15 | 21 | | 16 | 20 | | 17 | 16 | | 18 | 7 | | 19 | 37 | | 20 | 18 | | 21 | 43 | | 22 | 7 | | 23 | 37 | | 24 | 27 | | 25 | 10 | | 26 | 40 | | 27 | 19 | | 28 | 32 | | 29 | 4 | | 30 | 8 | | 31 | 4 | | 32 | 40 | | 33 | 21 | | 34 | 42 | | 35 | 26 | | 36 | 21 | | 37 | 27 | | 38 | 15 | | 39 | 23 | | 40 | 33 | | 41 | 8 | | 42 | 56 | | 43 | 15 | | 44 | 19 | | 45 | 16 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 100 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 175 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 112 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 456 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 15 | | adverbRatio | 0.03289473684210526 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0043859649122807015 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 112 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 112 | | mean | 10.21 | | std | 5.91 | | cv | 0.579 | | sampleLengths | | 0 | 23 | | 1 | 24 | | 2 | 11 | | 3 | 23 | | 4 | 11 | | 5 | 7 | | 6 | 12 | | 7 | 3 | | 8 | 7 | | 9 | 11 | | 10 | 16 | | 11 | 5 | | 12 | 16 | | 13 | 7 | | 14 | 3 | | 15 | 6 | | 16 | 27 | | 17 | 5 | | 18 | 1 | | 19 | 9 | | 20 | 5 | | 21 | 9 | | 22 | 9 | | 23 | 10 | | 24 | 27 | | 25 | 6 | | 26 | 10 | | 27 | 7 | | 28 | 10 | | 29 | 3 | | 30 | 13 | | 31 | 14 | | 32 | 7 | | 33 | 18 | | 34 | 11 | | 35 | 3 | | 36 | 18 | | 37 | 23 | | 38 | 1 | | 39 | 8 | | 40 | 13 | | 41 | 7 | | 42 | 7 | | 43 | 6 | | 44 | 5 | | 45 | 11 | | 46 | 7 | | 47 | 9 | | 48 | 3 | | 49 | 11 |
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| 62.20% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4107142857142857 | | totalSentences | 112 | | uniqueOpeners | 46 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 98 | | matches | | 0 | "Then came a wet, sliding" | | 1 | "Too tall, too thin, its" | | 2 | "Only a solid wall of" |
| | ratio | 0.031 | |
| 68.98% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 37 | | totalSentences | 98 | | matches | | 0 | "I dragged my heel through" | | 1 | "They smelled of copper and" | | 2 | "My watch had stopped three" | | 3 | "I spun around." | | 4 | "My voice sounded thin" | | 5 | "It came from the left," | | 6 | "I stepped back, my heels" | | 7 | "I reached for the iron" | | 8 | "My fingers closed around cold," | | 9 | "It moved with a jerky," | | 10 | "I called out" | | 11 | "My tone dropped into the" | | 12 | "It possessed no face, only" | | 13 | "It rattled inside my own" | | 14 | "My knuckles turned white around" | | 15 | "It knew Cardiff." | | 16 | "It knew the father I" | | 17 | "It knew the terror of" | | 18 | "It sounded like Evan now." | | 19 | "I lied, stepping sideways" |
| | ratio | 0.378 | |
| 41.63% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 82 | | totalSentences | 98 | | matches | | 0 | "A jagged tear in the" | | 1 | "The ancient oak standing stone" | | 2 | "Crimson light filtered through the" | | 3 | "Richmond Park lay somewhere behind" | | 4 | "Silence fell like a heavy" | | 5 | "I dragged my heel through" | | 6 | "Wildflowers bloomed beneath my boots," | | 7 | "Lavender, primrose, nightshade." | | 8 | "They smelled of copper and" | | 9 | "The contract sat crumpled in" | | 10 | "My watch had stopped three" | | 11 | "A sharp snap echoed through" | | 12 | "I spun around." | | 13 | "Nothing moved among the towering" | | 14 | "The oak stones encircled the" | | 15 | "My voice sounded thin" | | 16 | "The air swallowed the sound" | | 17 | "The silence pressed in again." | | 18 | "It came from the left," | | 19 | "I stepped back, my heels" |
| | ratio | 0.837 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 98 | | matches | (empty) | | ratio | 0 | |
| 61.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 5 | | matches | | 0 | "The oak stones encircled the glade like rotting teeth protruding from the earth, their surfaces carved with grooves that caught the faint crimson radiation of m…" | | 1 | "Too tall, too thin, its limbs bending at angles that defied proper joinery." | | 2 | "Smaller than the first, but broader, covered in matted dark fur that twitched with its own independent life." | | 3 | "The creature shrieked, a high-pitched whistle that made my ears bleed, and recoiled, clutching its shattered snout." | | 4 | "Cold, slick fingers wrapped around my throat, squeezing until my vision blurred into swimming spots of red and gold." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 4 | | fancyTags | | 0 | "the voice whispered (whisper)" | | 1 | "I lied (lie)" | | 2 | "voice spoke (speak)" | | 3 | "the blind beast hissed (hiss)" |
| | dialogueSentences | 23 | | tagDensity | 0.304 | | leniency | 0.609 | | rawRatio | 0.571 | | effectiveRatio | 0.348 | |