| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 46 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.60% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1469 | | totalAiIsmAdverbs | 1 | | 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) | |
| 18.31% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1469 | | totalAiIsms | 24 | | found | | | highlights | | 0 | "silk" | | 1 | "pulse" | | 2 | "rhythmic" | | 3 | "scanned" | | 4 | "glistening" | | 5 | "weight" | | 6 | "gloom" | | 7 | "silence" | | 8 | "structure" | | 9 | "maw" | | 10 | "marble" | | 11 | "warmth" | | 12 | "resolve" | | 13 | "pulsed" | | 14 | "shattered" |
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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 | 145 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 145 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 168 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 3 | | totalWords | 1469 | | ratio | 0.002 | | matches | | 0 | "Starve. Burn. Consume." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 73 | | wordCount | 1210 | | uniqueNames | 14 | | maxNameDensity | 2.4 | | worstName | "Rory" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Rory" | | discoveredNames | | Carter | 1 | | Fae-forged | 1 | | Heartstone | 2 | | Violet | 2 | | Varga | 1 | | Rory | 29 | | Stone | 1 | | Shade | 4 | | Nyx | 14 | | Isolde | 12 | | Veil | 1 | | Air | 1 | | Figures | 1 | | Fae | 3 |
| | persons | | 0 | "Carter" | | 1 | "Violet" | | 2 | "Varga" | | 3 | "Rory" | | 4 | "Shade" | | 5 | "Nyx" | | 6 | "Isolde" | | 7 | "Veil" | | 8 | "Figures" |
| | places | | | globalScore | 0.302 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 103 | | 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 | 1469 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 168 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 62 | | mean | 23.69 | | std | 12.12 | | cv | 0.511 | | sampleLengths | | 0 | 42 | | 1 | 41 | | 2 | 17 | | 3 | 33 | | 4 | 46 | | 5 | 18 | | 6 | 42 | | 7 | 40 | | 8 | 35 | | 9 | 16 | | 10 | 37 | | 11 | 15 | | 12 | 26 | | 13 | 49 | | 14 | 12 | | 15 | 31 | | 16 | 39 | | 17 | 16 | | 18 | 13 | | 19 | 36 | | 20 | 26 | | 21 | 24 | | 22 | 18 | | 23 | 22 | | 24 | 21 | | 25 | 20 | | 26 | 24 | | 27 | 15 | | 28 | 33 | | 29 | 8 | | 30 | 45 | | 31 | 37 | | 32 | 9 | | 33 | 37 | | 34 | 28 | | 35 | 35 | | 36 | 41 | | 37 | 35 | | 38 | 11 | | 39 | 10 | | 40 | 21 | | 41 | 14 | | 42 | 19 | | 43 | 26 | | 44 | 10 | | 45 | 19 | | 46 | 45 | | 47 | 10 | | 48 | 13 | | 49 | 10 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 145 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 252 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 168 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1218 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 14 | | adverbRatio | 0.011494252873563218 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.004105090311986864 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 168 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 168 | | mean | 8.74 | | std | 4.36 | | cv | 0.498 | | sampleLengths | | 0 | 10 | | 1 | 16 | | 2 | 16 | | 3 | 19 | | 4 | 5 | | 5 | 17 | | 6 | 12 | | 7 | 2 | | 8 | 3 | | 9 | 20 | | 10 | 8 | | 11 | 5 | | 12 | 17 | | 13 | 7 | | 14 | 8 | | 15 | 14 | | 16 | 10 | | 17 | 8 | | 18 | 6 | | 19 | 7 | | 20 | 15 | | 21 | 14 | | 22 | 14 | | 23 | 11 | | 24 | 15 | | 25 | 9 | | 26 | 8 | | 27 | 8 | | 28 | 10 | | 29 | 14 | | 30 | 2 | | 31 | 13 | | 32 | 9 | | 33 | 5 | | 34 | 10 | | 35 | 7 | | 36 | 8 | | 37 | 5 | | 38 | 11 | | 39 | 10 | | 40 | 12 | | 41 | 12 | | 42 | 11 | | 43 | 14 | | 44 | 7 | | 45 | 5 | | 46 | 7 | | 47 | 13 | | 48 | 11 | | 49 | 12 |
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| 64.68% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.43452380952380953 | | totalSentences | 168 | | uniqueOpeners | 73 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 133 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 3 | | totalSentences | 133 | | matches | | 0 | "She straightened, tucking her hands" | | 1 | "She pushed harder, muscles straining" | | 2 | "They struck Nyx's hand, slicing" |
| | ratio | 0.023 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 124 | | totalSentences | 133 | | matches | | 0 | "The rift sealed with a" | | 1 | "Aurora Carter adjusted her grip" | | 2 | "The heartbeat of the Heartstone" | | 3 | "Amber light bled from a" | | 4 | "Flora twisted into impossible geometries." | | 5 | "Vines thick as pythons coiled" | | 6 | "Rory scanned the perimeter, eyes" | | 7 | "Weight shifted forward." | | 8 | "Nyx materialized from the gloom," | | 9 | "Violet eyes glowed faintly against" | | 10 | "Isolde Varga stepped past the" | | 11 | "Boots met the ground without" | | 12 | "Soil resembled ground bone, dusted" | | 13 | "Rory crouched, fingers brushing the" | | 14 | "The powder hissed, recoiling from" | | 15 | "She straightened, tucking her hands" | | 16 | "The crescent scar on her" | | 17 | "Rory pointed toward a pavilion" | | 18 | "Stone pillars supported a roof" | | 19 | "Banners hung limp, embroidered with" |
| | ratio | 0.932 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 133 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 52 | | technicalSentenceCount | 3 | | matches | | 0 | "Soil resembled ground bone, dusted with ash that swirled in patterns mimicking screaming faces." | | 1 | "Tables stretched into darkness, laden with platters that groaned under impossible weights." | | 2 | "The deep crimson stone pulsed with a violent rhythm, heat radiating waves that distorted the air." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 1 | | matches | | 0 | "Nyx extended, fingers lengthening into tendrils of shadow" |
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| 63.04% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 4 | | fancyTags | | 0 | "Isolde murmured (murmur)" | | 1 | "Nyx hissed (hiss)" | | 2 | "Nyx whispered (whisper)" | | 3 | "Nyx murmured (murmur)" |
| | dialogueSentences | 46 | | tagDensity | 0.109 | | leniency | 0.217 | | rawRatio | 0.8 | | effectiveRatio | 0.174 | |