| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 356 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 356 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "pulsed" | | 1 | "rhythmic" | | 2 | "sentinels" | | 3 | "flickered" | | 4 | "weight" | | 5 | "warmth" | | 6 | "velvet" | | 7 | "scanned" |
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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 | 26 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 26 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 32 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 23 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 354 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 71.63% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 11 | | wordCount | 319 | | uniqueNames | 6 | | maxNameDensity | 1.57 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 1 | | Richmond | 1 | | Park | 1 | | London | 1 | | Shade | 2 | | Rory | 5 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" |
| | globalScore | 0.716 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 23 | | 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 | 354 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 32 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 14 | | mean | 25.29 | | std | 21.78 | | cv | 0.861 | | sampleLengths | | 0 | 73 | | 1 | 29 | | 2 | 4 | | 3 | 14 | | 4 | 13 | | 5 | 10 | | 6 | 44 | | 7 | 55 | | 8 | 4 | | 9 | 40 | | 10 | 2 | | 11 | 3 | | 12 | 18 | | 13 | 45 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 26 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 49 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 32 | | ratio | 0.063 | | matches | | 0 | "The distant sounds of the city—the muffled roar of engines, the hum of streetlights—vanished." | | 1 | "The shadows didn't stretch; they pooled around the bases of the trees like spilled ink." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 322 | | adjectiveStacks | 1 | | stackExamples | | 0 | "massive, moss-slick trunks," |
| | adverbCount | 6 | | adverbRatio | 0.018633540372670808 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.003105590062111801 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 32 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 32 | | mean | 11.06 | | std | 5.63 | | cv | 0.509 | | sampleLengths | | 0 | 9 | | 1 | 16 | | 2 | 21 | | 3 | 8 | | 4 | 19 | | 5 | 4 | | 6 | 15 | | 7 | 10 | | 8 | 4 | | 9 | 5 | | 10 | 9 | | 11 | 13 | | 12 | 10 | | 13 | 15 | | 14 | 14 | | 15 | 15 | | 16 | 11 | | 17 | 7 | | 18 | 19 | | 19 | 18 | | 20 | 4 | | 21 | 2 | | 22 | 23 | | 23 | 15 | | 24 | 2 | | 25 | 3 | | 26 | 11 | | 27 | 7 | | 28 | 9 | | 29 | 10 | | 30 | 16 | | 31 | 10 |
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| 68.75% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.46875 | | totalSentences | 32 | | uniqueOpeners | 15 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 25 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 2 | | totalSentences | 25 | | matches | | 0 | "She stumbled onto grass that" | | 1 | "It glowed with a pale," |
| | ratio | 0.08 | |
| 20.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 22 | | totalSentences | 25 | | matches | | 0 | "Rory’s fingers brushed the crimson" | | 1 | "The Heartstone pulsed, a rhythmic" | | 2 | "A faint, oily shimmer distorted" | | 3 | "Nyx drifted beside her." | | 4 | "The Shade lacked a solid" | | 5 | "Violet light flickered within the" | | 6 | "Rory stepped toward the distortion." | | 7 | "Rory breathed deep, gripped the" | | 8 | "The transition hit like a" | | 9 | "The distant sounds of the" | | 10 | "She stumbled onto grass that" | | 11 | "It glowed with a pale," | | 12 | "Flowers the size of dinner" | | 13 | "The scent hit her next:" | | 14 | "The sun, which had been" | | 15 | "The shadows didn't stretch; they" | | 16 | "Nyx moved through the teal" | | 17 | "The Shade’s violet eyes scanned" | | 18 | "Rory followed, her boots sinking" | | 19 | "The trees grew in spiraling," |
| | ratio | 0.88 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 25 | | matches | (empty) | | ratio | 0 | |
| 23.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 18 | | technicalSentenceCount | 3 | | matches | | 0 | "The Heartstone pulsed, a rhythmic heat that bled through her shirt and settled against her collarbone." | | 1 | "The scent hit her next: crushed jasmine, damp earth, and a metallic sweetness that made her teeth ache." | | 2 | "The sun, which had been dipping low in the sky moments ago, remained suspended at the horizon, frozen in a perpetual amber twilight." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |