| 33.33% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 1 | | adverbTags | | 0 | "living shadow form undulating like [like]" |
| | dialogueSentences | 11 | | tagDensity | 0.545 | | leniency | 1 | | rawRatio | 0.167 | | effectiveRatio | 0.167 | |
| 69.04% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 646 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "loosely" | | 1 | "slowly" | | 2 | "suddenly" | | 3 | "very" |
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| 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 | 646 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "palpable" | | 1 | "familiar" | | 2 | "footsteps" | | 3 | "whisper" | | 4 | "glinting" | | 5 | "vibrated" | | 6 | "racing" | | 7 | "crystalline" | | 8 | "dance" | | 9 | "enigmatic" | | 10 | "weight" | | 11 | "unspoken" | | 12 | "fleeting" | | 13 | "anticipation" | | 14 | "silence" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 98.12% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 31 | | matches | | |
| 0.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 5 | | narrationSentences | 31 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 36 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 645 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.20% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 537 | | uniqueNames | 10 | | maxNameDensity | 1.68 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Fae | 3 | | Grove | 2 | | Nyx | 6 | | Isolde | 6 | | London | 1 | | Aurora | 9 | | Heartstone | 1 | | Pendant | 1 | | Fae-Forged | 1 | | Blade | 1 |
| | persons | | 0 | "Nyx" | | 1 | "Isolde" | | 2 | "Aurora" | | 3 | "Blade" |
| | places | | | globalScore | 0.662 | | windowScore | 0.833 | |
| 63.79% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 29 | | glossingSentenceCount | 1 | | matches | | 0 | "As if responding to Nyx's words, the air vibrated with an almost imperceptible hum, like the quiet buzzing of a harp string" |
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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 | 645 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 36 | | matches | (empty) | |
| 66.28% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 18 | | mean | 35.83 | | std | 13.69 | | cv | 0.382 | | sampleLengths | | 0 | 61 | | 1 | 21 | | 2 | 42 | | 3 | 45 | | 4 | 18 | | 5 | 36 | | 6 | 27 | | 7 | 43 | | 8 | 63 | | 9 | 20 | | 10 | 28 | | 11 | 52 | | 12 | 24 | | 13 | 25 | | 14 | 38 | | 15 | 20 | | 16 | 35 | | 17 | 47 |
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| 93.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 31 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 83 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 178 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 6 | | adverbRatio | 0.033707865168539325 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0056179775280898875 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 36 | | echoCount | 0 | | echoWords | (empty) | |
| 82.02% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 36 | | mean | 17.92 | | std | 6.36 | | cv | 0.355 | | sampleLengths | | 0 | 25 | | 1 | 20 | | 2 | 16 | | 3 | 21 | | 4 | 21 | | 5 | 21 | | 6 | 20 | | 7 | 25 | | 8 | 18 | | 9 | 22 | | 10 | 14 | | 11 | 27 | | 12 | 22 | | 13 | 21 | | 14 | 18 | | 15 | 15 | | 16 | 30 | | 17 | 15 | | 18 | 5 | | 19 | 14 | | 20 | 14 | | 21 | 29 | | 22 | 23 | | 23 | 22 | | 24 | 2 | | 25 | 10 | | 26 | 15 | | 27 | 17 | | 28 | 17 | | 29 | 4 | | 30 | 20 | | 31 | 23 | | 32 | 12 | | 33 | 10 | | 34 | 18 | | 35 | 19 |
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| 59.26% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.3888888888888889 | | totalSentences | 36 | | uniqueOpeners | 14 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 31 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 0 | | totalSentences | 31 | | matches | (empty) | | ratio | 0 | |
| 72.90% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 24 | | totalSentences | 31 | | matches | | 0 | "Aurora's eyes, bright blue as" | | 1 | "The sudden stillness was a" | | 2 | "Isolde murmured, her pale lavender" | | 3 | "Aurora's fingers instinctively sought the" | | 4 | "Nyx, however, seemed to blend" | | 5 | "The group's footsteps disturbed the" | | 6 | "Aurora's voice barely rose above" | | 7 | "Isolde's silver hair cascaded down" | | 8 | "Nyx's whispery voice wove in," | | 9 | "Aurora felt the hairs on" | | 10 | "The path, overgrown with soft," | | 11 | "Water lilies with petals shimmering" | | 12 | "The sky above, a deep" | | 13 | "Aurora breathed, her eyes darting" | | 14 | "Isolde interjected, her smile an" | | 15 | "Nyx's form shifted, their living" | | 16 | "Aurora's hand instinctively went to" | | 17 | "Isolde's gaze never left the" | | 18 | "The water's surface broke, and" | | 19 | "Aurora's breath caught in her" |
| | ratio | 0.774 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 31 | | matches | | 0 | "As if responding to Nyx's" |
| | ratio | 0.032 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 8 | | matches | | 0 | "The sudden stillness was a palpable thing, a held breath that muffled the distant London hum." | | 1 | "As they ventured deeper, wildflowers of every hue sprouted around them, releasing sweet, heady fragrances that danced on the breeze." | | 2 | "The group's footsteps disturbed the serene atmosphere, yet Isolde left no footprints, gliding across the terrain with an ethereal grace that belied her 300 year…" | | 3 | "As if responding to Nyx's words, the air vibrated with an almost imperceptible hum, like the quiet buzzing of a harp string." | | 4 | "Water lilies with petals shimmering like stardust floated on its surface, reflecting the deepening twilight." | | 5 | "The sky above, a deep shade of cerulean during their entrance, now transformed into a warm, golden hue, as if sunset and twilight had blended into an eternal, s…" | | 6 | "As the last light of day succumbed to the encroaching night, the pool's surface began to ripple, as if the water itself was being stirred by an unseen hand." | | 7 | "The only sound, the soft, golden hum of the Fae Grove, enveloping them all in its expectant, shimmering silence." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 2 | | matches | | 0 | "Aurora breathed, her eyes darting between the pool's edge and the sky" | | 1 | "Isolde interjected, her smile an enigmatic, gentle curve" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 4 | | fancyTags | | 0 | "Isolde murmured (murmur)" | | 1 | "Aurora breathed (breathe)" | | 2 | "Isolde interjected (interject)" | | 3 | "Nyx whispered (whisper)" |
| | dialogueSentences | 11 | | tagDensity | 0.364 | | leniency | 0.727 | | rawRatio | 1 | | effectiveRatio | 0.727 | |