| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 1 | | adverbTags | | 0 | "Aurora countered grimly [grimly]" |
| | dialogueSentences | 19 | | tagDensity | 0.526 | | leniency | 1 | | rawRatio | 0.1 | | effectiveRatio | 0.1 | |
| 70.41% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1183 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "utterly" | | 1 | "slowly" | | 2 | "very" | | 3 | "cautiously" | | 4 | "slightly" | | 5 | "suddenly" |
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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 | 1183 | | totalAiIsms | 32 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | | | 25 | | | 26 | | | 27 | | word | "down her spine" | | count | 1 |
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| | highlights | | 0 | "pulse" | | 1 | "tracing" | | 2 | "warmth" | | 3 | "resonated" | | 4 | "electric" | | 5 | "shimmered" | | 6 | "pulsed" | | 7 | "apprehension" | | 8 | "familiar" | | 9 | "mosaic" | | 10 | "crystalline" | | 11 | "resonance" | | 12 | "foreboding" | | 13 | "rhythmic" | | 14 | "sense of" | | 15 | "perfect" | | 16 | "intricate" | | 17 | "structure" | | 18 | "cacophony" | | 19 | "weight" | | 20 | "glistening" | | 21 | "scanned" | | 22 | "cascading" | | 23 | "stark" | | 24 | "oppressive" | | 25 | "silence" | | 26 | "chill" | | 27 | "down her spine" |
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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 | 1 | | narrationSentences | 86 | | matches | | |
| 26.58% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 7 | | narrationSentences | 86 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "appeared to" | | 2 | "started to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 94 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1192 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 1099 | | uniqueNames | 15 | | maxNameDensity | 0.91 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Heartstone | 1 | | Pendant | 1 | | Richmond | 1 | | Park | 1 | | Veil | 1 | | Earth | 1 | | Isolde | 2 | | Dymas | 2 | | Fae-Forged | 1 | | English | 1 | | Aurora | 10 | | Prince | 1 | | Belphegor | 3 | | Eva | 4 | | Silas | 4 |
| | persons | | 0 | "Isolde" | | 1 | "Aurora" | | 2 | "Prince" | | 3 | "Belphegor" | | 4 | "Eva" | | 5 | "Silas" |
| | places | | 0 | "Heartstone" | | 1 | "Richmond" | | 2 | "Park" | | 3 | "Dymas" |
| | globalScore | 1 | | windowScore | 1 | |
| 50.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 75 | | glossingSentenceCount | 3 | | matches | | 0 | "seemed artificial somehow too perfect" | | 1 | "patterns that seemed to shift and writhe before their eyes" | | 2 | "as if acknowledging their presence" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.839 | | wordCount | 1192 | | matches | | 0 | "not the rustling of leaves or the chirping of birds, but a constant, low hum punctuated by the drip, drip, drip of vi" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 94 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 38.45 | | std | 22.09 | | cv | 0.575 | | sampleLengths | | 0 | 32 | | 1 | 18 | | 2 | 29 | | 3 | 89 | | 4 | 35 | | 5 | 55 | | 6 | 66 | | 7 | 18 | | 8 | 17 | | 9 | 55 | | 10 | 13 | | 11 | 48 | | 12 | 47 | | 13 | 43 | | 14 | 10 | | 15 | 87 | | 16 | 11 | | 17 | 6 | | 18 | 31 | | 19 | 34 | | 20 | 52 | | 21 | 56 | | 22 | 31 | | 23 | 71 | | 24 | 14 | | 25 | 30 | | 26 | 66 | | 27 | 55 | | 28 | 20 | | 29 | 24 | | 30 | 29 |
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| 93.02% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 86 | | matches | | 0 | "being unzipped" | | 1 | "was hidden" | | 2 | "been spotted" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 169 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 94 | | ratio | 0.096 | | matches | | 0 | "They’d followed Isolde’s cryptic instructions – three paces from the standing stone marked with the serpent’s eye, under the bough of the oldest beech – and found it." | | 1 | "vexing, but Isolde's gift – the Fae-Forged blade nestled in her boot – offered a slim chance of survival." | | 2 | "These weren’t leaves in the traditional sense – they were thin, metallic plates that chimed with a crystalline resonance whenever the slightest breeze stirred." | | 3 | "The sounds were equally unsettling – not the rustling of leaves or the chirping of birds, but a constant, low hum punctuated by the drip, drip, drip of viscous liquid." | | 4 | "It seemed to have grown organically from the very landscape – a sprawling, undulating mass of polished stone, inlaid with veins of shimmering gold." | | 5 | "As if on cue, a new sound filled the air – a cacophony of voices, rising and falling in a melodic chant." | | 6 | "Mountains of roasted meats, pyramids of glistening fruit, rivers of flowing wine – all displayed with an obscene extravagance." | | 7 | "The chant, they realised, was a prayer – a grotesque hymn to indulgence." | | 8 | "At the head of the largest table sat a figure even more unsettling than the others – a being of immense size, clad in robes of deep crimson and gold." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1090 | | adjectiveStacks | 1 | | stackExamples | | 0 | "Below, strange, bulbous plants" |
| | adverbCount | 35 | | adverbRatio | 0.03211009174311927 | | lyAdverbCount | 18 | | lyAdverbRatio | 0.01651376146788991 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 94 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 94 | | mean | 12.68 | | std | 6.68 | | cv | 0.527 | | sampleLengths | | 0 | 18 | | 1 | 14 | | 2 | 10 | | 3 | 8 | | 4 | 18 | | 5 | 11 | | 6 | 16 | | 7 | 15 | | 8 | 21 | | 9 | 28 | | 10 | 5 | | 11 | 4 | | 12 | 8 | | 13 | 3 | | 14 | 19 | | 15 | 5 | | 16 | 16 | | 17 | 22 | | 18 | 9 | | 19 | 8 | | 20 | 17 | | 21 | 10 | | 22 | 15 | | 23 | 24 | | 24 | 18 | | 25 | 13 | | 26 | 4 | | 27 | 30 | | 28 | 8 | | 29 | 17 | | 30 | 6 | | 31 | 7 | | 32 | 3 | | 33 | 15 | | 34 | 10 | | 35 | 10 | | 36 | 10 | | 37 | 14 | | 38 | 20 | | 39 | 13 | | 40 | 16 | | 41 | 16 | | 42 | 11 | | 43 | 6 | | 44 | 4 | | 45 | 12 | | 46 | 6 | | 47 | 24 | | 48 | 22 | | 49 | 23 |
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| 71.63% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.46808510638297873 | | totalSentences | 94 | | uniqueOpeners | 44 | |
| 39.68% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 84 | | matches | | 0 | "Suddenly, the chanting stopped." |
| | ratio | 0.012 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 84 | | matches | | 0 | "It hummed against her skin," | | 1 | "It hadn’t been visible moments" | | 2 | "They’d followed Isolde’s cryptic instructions" | | 3 | "Their trunks were a vibrant," | | 4 | "It seemed to emanate from" | | 5 | "He wasn’t wrong." | | 6 | "Their petals unfurled slowly, revealing" | | 7 | "It wasn't a building, not" | | 8 | "It seemed to have grown" | | 9 | "It seemed to emanate from" | | 10 | "They moved cautiously towards it," | | 11 | "It wasn’t a hall, nor" | | 12 | "It was a space of" | | 13 | "They spoke in a language" | | 14 | "His face was hidden behind" | | 15 | "He raised a goblet of" | | 16 | "She pointed to a figure" | | 17 | "He was small and unassuming," | | 18 | "He wore a simple grey" | | 19 | "She glanced back towards the" |
| | ratio | 0.274 | |
| 73.10% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 84 | | matches | | 0 | "Aurora muttered, her fingers tracing" | | 1 | "It hummed against her skin," | | 2 | "Eva, ever the pragmatist, adjusted" | | 3 | "Silas, lanky and nervous as" | | 4 | "The aperture shimmered before them," | | 5 | "It hadn’t been visible moments" | | 6 | "They’d followed Isolde’s cryptic instructions" | | 7 | "A gateway, she’d called it." | | 8 | "A pathway to Dymas." | | 9 | "Aurora pushed past the apprehension" | | 10 | "Belphegor’s interest was…" | | 11 | "The air thickened instantly, heavy" | | 12 | "Here, the air tasted of" | | 13 | "The forest floor beneath their" | | 14 | "Their trunks were a vibrant," | | 15 | "These weren’t leaves in the" | | 16 | "Eva breathed, her usual skepticism" | | 17 | "Aurora confirmed, her voice hushed" | | 18 | "The sounds were equally unsettling" | | 19 | "It seemed to emanate from" |
| | ratio | 0.774 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 84 | | matches | | 0 | "Now, it pulsed with an" | | 1 | "As if on cue, a" |
| | ratio | 0.024 | |
| 36.47% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 7 | | matches | | 0 | "It hummed against her skin, a subtle vibration that resonated deep within her bones." | | 1 | "These weren’t leaves in the traditional sense – they were thin, metallic plates that chimed with a crystalline resonance whenever the slightest breeze stirred." | | 2 | "A constant flow of purple liquid cascaded down its sides, collecting in a network of smaller ponds that reflected the strange, silver light." | | 3 | "As if on cue, a new sound filled the air – a cacophony of voices, rising and falling in a melodic chant." | | 4 | "They spoke in a language that grated on the ears, a slurry of guttural sounds and high-pitched squeals." | | 5 | "He was small and unassuming, almost blending into the background, but there was something about his posture, his guarded expression, that set him apart." | | 6 | "Belphegor’s obsidian mask seemed to tilt slightly, as if acknowledging their presence." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 2 | | matches | | 0 | "Silas stammered, his fear momentarily overshadowed by the spectacle" | | 1 | "Silas repeated, his voice shaking" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 6 | | fancyTags | | 0 | "Aurora muttered (mutter)" | | 1 | "Eva breathed (breathe)" | | 2 | "Aurora confirmed (confirm)" | | 3 | "Aurora warned (warn)" | | 4 | "Silas stammered (stammer)" | | 5 | "Silas repeated (repeat)" |
| | dialogueSentences | 19 | | tagDensity | 0.421 | | leniency | 0.842 | | rawRatio | 0.75 | | effectiveRatio | 0.632 | |