| 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 | 922 | | 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) | |
| 7.81% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 922 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "pulse" | | 1 | "warmth" | | 2 | "weight" | | 3 | "scanning" | | 4 | "echoed" | | 5 | "glistening" | | 6 | "flickered" | | 7 | "reminder" | | 8 | "whisper" | | 9 | "pulsed" | | 10 | "shimmered" | | 11 | "crystal" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 59 | | matches | (empty) | |
| 46.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 4 | | narrationSentences | 59 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 66 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 922 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 92.79% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 874 | | uniqueNames | 4 | | maxNameDensity | 1.14 | | worstName | "Nyx" | | maxWindowNameDensity | 2 | | worstWindowName | "Nyx" | | discoveredNames | | Heartstone | 3 | | Nyx | 10 | | Aurora | 9 | | Isolde | 10 |
| | persons | | | places | (empty) | | globalScore | 0.928 | | windowScore | 1 | |
| 62.28% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 2 | | matches | | 0 | "flowers that seemed to glow from within petals shedding light like tiny lanterns" | | 1 | "hum that seemed to come from hidden places and filled the air" |
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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 | 922 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 66 | | matches | (empty) | |
| 80.83% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 24 | | mean | 38.42 | | std | 16.63 | | cv | 0.433 | | sampleLengths | | 0 | 58 | | 1 | 16 | | 2 | 4 | | 3 | 8 | | 4 | 41 | | 5 | 60 | | 6 | 42 | | 7 | 63 | | 8 | 39 | | 9 | 31 | | 10 | 38 | | 11 | 44 | | 12 | 33 | | 13 | 41 | | 14 | 55 | | 15 | 38 | | 16 | 37 | | 17 | 37 | | 18 | 33 | | 19 | 36 | | 20 | 32 | | 21 | 80 | | 22 | 20 | | 23 | 36 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 59 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 151 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 66 | | ratio | 0 | | matches | (empty) | |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 874 | | adjectiveStacks | 2 | | stackExamples | | 0 | "low over endless rows" | | 1 | "lay cold against her" |
| | adverbCount | 9 | | adverbRatio | 0.010297482837528604 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 66 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 66 | | mean | 13.97 | | std | 5.77 | | cv | 0.413 | | sampleLengths | | 0 | 8 | | 1 | 7 | | 2 | 14 | | 3 | 13 | | 4 | 16 | | 5 | 6 | | 6 | 10 | | 7 | 1 | | 8 | 3 | | 9 | 6 | | 10 | 2 | | 11 | 9 | | 12 | 9 | | 13 | 9 | | 14 | 14 | | 15 | 10 | | 16 | 18 | | 17 | 16 | | 18 | 16 | | 19 | 12 | | 20 | 15 | | 21 | 15 | | 22 | 10 | | 23 | 6 | | 24 | 8 | | 25 | 11 | | 26 | 12 | | 27 | 16 | | 28 | 19 | | 29 | 20 | | 30 | 14 | | 31 | 8 | | 32 | 9 | | 33 | 20 | | 34 | 18 | | 35 | 14 | | 36 | 15 | | 37 | 15 | | 38 | 21 | | 39 | 8 | | 40 | 4 | | 41 | 19 | | 42 | 22 | | 43 | 11 | | 44 | 23 | | 45 | 21 | | 46 | 18 | | 47 | 11 | | 48 | 9 | | 49 | 12 |
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| 48.48% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.24242424242424243 | | totalSentences | 66 | | uniqueOpeners | 16 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 58 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 10 | | totalSentences | 58 | | matches | | 0 | "She lifted the silver chain" | | 1 | "She spoke voice soft as" | | 2 | "They turned onto a packed" | | 3 | "She whispered her eyes fixed" | | 4 | "She smiled lips motionless." | | 5 | "She felt a warmth spread" | | 6 | "She lowered her hand eyes" | | 7 | "She felt a warmth spread" | | 8 | "She felt a coolness seep" | | 9 | "She paused turned and watched" |
| | ratio | 0.172 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 58 | | matches | | 0 | "Aurora halted at the edge" | | 1 | "The Heartstone pendant thrummed against" | | 2 | "She lifted the silver chain" | | 3 | "Nyx hovered close, a shifting" | | 4 | "Isolde stood a step back," | | 5 | "Isolde's voice rang low and" | | 6 | "A sigh slipped from Nyx's" | | 7 | "The air rippled like water" | | 8 | "A pull tugged at Aurora's" | | 9 | "Nyx dissolved into mist reformed" | | 10 | "Isolde lifted a hand and" | | 11 | "Aurora's eyes widened at the" | | 12 | "The sky burned amber thick" | | 13 | "Orchards rose in terraces each" | | 14 | "Nyx's form shifted becoming more" | | 15 | "A scent of spiced meat" | | 16 | "The hum of distant laughter" | | 17 | "Isolde tilted her head her" | | 18 | "She spoke voice soft as" | | 19 | "They turned onto a packed" |
| | ratio | 0.948 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 58 | | matches | (empty) | | ratio | 0 | |
| 51.67% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 6 | | matches | | 0 | "The stone was warm to the touch radiating a low heat that made Aurora's fingers tingle." | | 1 | "Isolde stepped closer to the edge of the table her silver hair brushing a bunch of grapes that sang when touched." | | 2 | "Nyx flowed onto the river its form becoming a ribbon of shadow that glided beneath the surface leaving no ripple." | | 3 | "Isolde glided after her silver hair leaving a faint trail of light that dissolved when it formed." | | 4 | "She felt a coolness seep through her soles going toward her legs clearing her mind of the feast's heaviness." | | 5 | "Nyx flowed beside her the shade's form thickening as it moved becoming more substantial and translucent like smoke given shape." |
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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 | |