| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 26 | | tagDensity | 0.269 | | leniency | 0.538 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1224 | | 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 | 1224 | | totalAiIsms | 30 | | 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 | |
| | highlights | | 0 | "maw" | | 1 | "stark" | | 2 | "warmth" | | 3 | "scanned" | | 4 | "shimmered" | | 5 | "weight" | | 6 | "pulsed" | | 7 | "rhythmic" | | 8 | "echo" | | 9 | "resolve" | | 10 | "echoes" | | 11 | "silence" | | 12 | "marble" | | 13 | "cascading" | | 14 | "dances" | | 15 | "stomach" | | 16 | "flicked" | | 17 | "spectral" | | 18 | "pounding" | | 19 | "desire" | | 20 | "traced" | | 21 | "trembled" | | 22 | "thundered" | | 23 | "gleaming" | | 24 | "depths" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 73 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 73 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 93 | | 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 | 1213 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.48% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 902 | | uniqueNames | 14 | | maxNameDensity | 1.33 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Fae-Forged | 1 | | Blade | 1 | | Heartstone | 1 | | Pendant | 1 | | Nyx | 8 | | Isolde | 6 | | Evan | 1 | | Aurora | 12 | | Cardiff | 1 | | Eva | 1 | | Hel | 1 | | London | 1 | | Prince | 1 | | Belphegor | 2 |
| | persons | | 0 | "Blade" | | 1 | "Pendant" | | 2 | "Nyx" | | 3 | "Isolde" | | 4 | "Evan" | | 5 | "Aurora" | | 6 | "Eva" | | 7 | "Hel" | | 8 | "Prince" | | 9 | "Belphegor" |
| | places | | | globalScore | 0.835 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 1 | | matches | | 0 | "as if awakening something monstrous within the realm's depths" |
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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 | 1213 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 93 | | matches | (empty) | |
| 69.94% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 34.66 | | std | 13.68 | | cv | 0.395 | | sampleLengths | | 0 | 43 | | 1 | 39 | | 2 | 34 | | 3 | 31 | | 4 | 65 | | 5 | 38 | | 6 | 20 | | 7 | 25 | | 8 | 63 | | 9 | 51 | | 10 | 29 | | 11 | 52 | | 12 | 37 | | 13 | 59 | | 14 | 13 | | 15 | 39 | | 16 | 25 | | 17 | 38 | | 18 | 33 | | 19 | 20 | | 20 | 34 | | 21 | 31 | | 22 | 33 | | 23 | 41 | | 24 | 59 | | 25 | 24 | | 26 | 30 | | 27 | 46 | | 28 | 27 | | 29 | 14 | | 30 | 30 | | 31 | 15 | | 32 | 15 | | 33 | 21 | | 34 | 39 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 73 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 173 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 1 | | flaggedSentences | 5 | | totalSentences | 93 | | ratio | 0.054 | | matches | | 0 | "They pressed on, the path winding through gardens where flowers bloomed in impossible shapes—petals unfolding into tiny banquet tables laden with nectar that dripped like molten gold." | | 1 | "Chefs—pale figures with hollow eyes—moved in precise dances, chopping herbs that regrew instantly in their hands." | | 2 | "Aurora felt it then—a subtle shift, as if the realm inhaled." | | 3 | "Wonder battled unease; the sheer abundance dazzled, vines bearing fruits that shifted colours with each glance, orchards whispering secrets in languages of scent." | | 4 | "It promised oblivion, a momentary escape from the weight of her past—the flight from Cardiff, Eva's urgent calls, the flat above Silas' bar that never quite felt like home." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 799 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.025031289111389236 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.008760951188986232 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 93 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 93 | | mean | 13.04 | | std | 6.46 | | cv | 0.495 | | sampleLengths | | 0 | 14 | | 1 | 29 | | 2 | 12 | | 3 | 15 | | 4 | 12 | | 5 | 17 | | 6 | 10 | | 7 | 7 | | 8 | 9 | | 9 | 22 | | 10 | 17 | | 11 | 4 | | 12 | 26 | | 13 | 18 | | 14 | 7 | | 15 | 15 | | 16 | 16 | | 17 | 10 | | 18 | 10 | | 19 | 7 | | 20 | 18 | | 21 | 4 | | 22 | 19 | | 23 | 16 | | 24 | 24 | | 25 | 27 | | 26 | 24 | | 27 | 9 | | 28 | 20 | | 29 | 4 | | 30 | 15 | | 31 | 22 | | 32 | 11 | | 33 | 14 | | 34 | 23 | | 35 | 8 | | 36 | 18 | | 37 | 16 | | 38 | 17 | | 39 | 8 | | 40 | 5 | | 41 | 7 | | 42 | 19 | | 43 | 4 | | 44 | 9 | | 45 | 6 | | 46 | 19 | | 47 | 5 | | 48 | 24 | | 49 | 9 |
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| 86.02% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.5161290322580645 | | totalSentences | 93 | | uniqueOpeners | 48 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 73 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 73 | | matches | | 0 | "She stumbled forward, blade raised," | | 1 | "Her bare feet left no" | | 2 | "She scanned the landscape." | | 3 | "She plucked one from a" | | 4 | "It hit the ground with" | | 5 | "She shook off the unease" | | 6 | "They pressed on, the path" | | 7 | "She clenched her fist, the" | | 8 | "he intoned, voice flat as" | | 9 | "She waved him off." | | 10 | "He leaned closer, breath reeking" | | 11 | "He backed away, muttering incantations" | | 12 | "She yanked free, blade drawn" | | 13 | "They followed, weaving past more" | | 14 | "She sidestepped, heart pounding." | | 15 | "It promised oblivion, a momentary" | | 16 | "She reached out." | | 17 | "She slashed with the blade," |
| | ratio | 0.247 | |
| 28.49% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 73 | | matches | | 0 | "Aurora gripped the Fae-Forged Blade" | | 1 | "The portal's maw yawned before" | | 2 | "She stumbled forward, blade raised," | | 3 | "The plant recoiled, leaking sap" | | 4 | "Isolde murmured, her silver hair" | | 5 | "Her bare feet left no" | | 6 | "Nyx coalesced into their humanoid" | | 7 | "Aurora sheathed the blade, its" | | 8 | "She scanned the landscape." | | 9 | "She plucked one from a" | | 10 | "The fruit weighed heavy in" | | 11 | "Juice burst forth when she" | | 12 | "Nyx whispered, their voice a" | | 13 | "Isolde tilted her head, lavender" | | 14 | "Aurora dropped the apple." | | 15 | "It hit the ground with" | | 16 | "She shook off the unease" | | 17 | "They pressed on, the path" | | 18 | "A faint melody drifted from" | | 19 | "Nyx shifted partially incorporeal, tendrils" |
| | ratio | 0.863 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 73 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 13 | | matches | | 0 | "The portal's maw yawned before them, a rip in the air that hummed like distant thunder, and she plunged through without hesitation, Nyx's shadowy form slitherin…" | | 1 | "Endless rows of vines stretched out, heavy with clusters of fruit that shimmered in hues of gold and violet, each grape the size of a fist." | | 2 | "The fruit weighed heavy in her palm, its surface slick and warm, as if alive." | | 3 | "It hit the ground with a wet thud and rolled, sprouting tiny tendrils that burrowed back into the soil." | | 4 | "They pressed on, the path winding through gardens where flowers bloomed in impossible shapes—petals unfolding into tiny banquet tables laden with nectar that dr…" | | 5 | "A faint melody drifted from deeper in, rhythmic clinks of cutlery and low murmurs, as if an invisible crowd dined just out of sight." | | 6 | "Marble tables groaned under platters of roasted meats that sizzled eternally, sauces cascading in fountains of amber liquid." | | 7 | "Chefs—pale figures with hollow eyes—moved in precise dances, chopping herbs that regrew instantly in their hands." | | 8 | "They followed, weaving past more feasts where spectral figures gorged endlessly, their forms swelling and deflating like bellows." | | 9 | "Wonder battled unease; the sheer abundance dazzled, vines bearing fruits that shifted colours with each glance, orchards whispering secrets in languages of scen…" | | 10 | "Deeper in, they discovered a fountain spewing wine that sparkled under the amber sky." | | 11 | "Vines lashed out, ensnaring Aurora's legs, dragging her toward a maw of thorns that yawned open." | | 12 | "She slashed with the blade, but more tendrils surged, and the pendant blazed hotter, as if awakening something monstrous within the realm's depths." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 4 | | matches | | 0 | "Nyx whispered, their voice a breeze rustling the leaves" | | 1 | "he intoned, voice flat as beaten dough" | | 2 | "He leaned, breath reeking of fermented dreams" | | 3 | "Nyx reformed, voice urgent" |
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| 34.62% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 3 | | fancyTags | | 0 | "Isolde murmured (murmur)" | | 1 | "Nyx whispered (whisper)" | | 2 | "It promised (promise)" |
| | dialogueSentences | 26 | | tagDensity | 0.115 | | leniency | 0.231 | | rawRatio | 1 | | effectiveRatio | 0.231 | |