| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 33 | | tagDensity | 0.424 | | leniency | 0.848 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 80.19% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1262 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slightly" | | 1 | "perfectly" | | 2 | "slowly" |
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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 | 1262 | | 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 | | word | "the last thing" | | count | 1 |
| | 25 | |
| | highlights | | 0 | "silk" | | 1 | "whisper" | | 2 | "oppressive" | | 3 | "warmth" | | 4 | "gloom" | | 5 | "weight" | | 6 | "pulsed" | | 7 | "echo" | | 8 | "scanned" | | 9 | "marble" | | 10 | "shimmered" | | 11 | "velvet" | | 12 | "complex" | | 13 | "stomach" | | 14 | "familiar" | | 15 | "surreal" | | 16 | "symphony" | | 17 | "glistening" | | 18 | "profound" | | 19 | "cacophony" | | 20 | "silence" | | 21 | "footsteps" | | 22 | "tension" | | 23 | "rhythmic" | | 24 | "the last thing" | | 25 | "hulking" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
| | 1 | | label | "wave of emotion" | | count | 1 |
|
| | highlights | | 0 | "blood ran cold" | | 1 | "a wave of nausea" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 78 | | matches | (empty) | |
| 87.91% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 78 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 97 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1247 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 84.28% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 989 | | uniqueNames | 9 | | maxNameDensity | 1.31 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 13 | | Nyx | 10 | | Fae-forged | 1 | | Heartstone | 4 | | Seer | 1 | | Fae | 2 | | Isolde | 3 | | Dymas | 1 | | London | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Nyx" | | 2 | "Heartstone" | | 3 | "Seer" | | 4 | "Isolde" |
| | places | | | globalScore | 0.843 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 5 | | matches | | 0 | "looked like white marble, but it was warm" | | 1 | "felt like cool velvet" | | 2 | "looked like cured meats, shimmering gems" | | 3 | "seemed woven from shadow and leaf" | | 4 | "felt like being X-rayed" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 4 | | per1kWords | 3.208 | | wordCount | 1247 | | matches | | 0 | "not just thin, but has been worn through by constant traffic" | | 1 | "not leaves, but what looked like cured meats, shimmering gems of solidified" | | 2 | "neither curious nor" | | 3 | "not with the amber hue of Dymas, but with a familiar, greyish London damp" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 97 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 33.7 | | std | 26.11 | | cv | 0.775 | | sampleLengths | | 0 | 39 | | 1 | 39 | | 2 | 30 | | 3 | 18 | | 4 | 72 | | 5 | 14 | | 6 | 24 | | 7 | 79 | | 8 | 12 | | 9 | 23 | | 10 | 94 | | 11 | 114 | | 12 | 10 | | 13 | 39 | | 14 | 52 | | 15 | 26 | | 16 | 6 | | 17 | 27 | | 18 | 13 | | 19 | 13 | | 20 | 66 | | 21 | 71 | | 22 | 5 | | 23 | 27 | | 24 | 5 | | 25 | 39 | | 26 | 12 | | 27 | 64 | | 28 | 10 | | 29 | 31 | | 30 | 31 | | 31 | 17 | | 32 | 34 | | 33 | 18 | | 34 | 6 | | 35 | 24 | | 36 | 43 |
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| 96.27% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 78 | | matches | | 0 | "was fixed" | | 1 | "being X-rayed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 146 | | matches | | |
| 25.04% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 97 | | ratio | 0.041 | | matches | | 0 | "The air hummed with the distant sound of music, laughter, and something else—a low, constant, wet chewing." | | 1 | "At her touch, a complex scent bloomed—fresh-baked bread, ripe strawberries, and the salty tang of the sea." | | 2 | "And the smell—oh god, the smell." | | 3 | "Others were clearly not human—beings with too many limbs, with skin of bark or scale, all sharing the same glassy-eyed rapture." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 685 | | adjectiveStacks | 2 | | stackExamples | | 0 | "low, constant, wet chewing." | | 1 | "same glassy-eyed rapture." |
| | adverbCount | 22 | | adverbRatio | 0.032116788321167884 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.010218978102189781 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 97 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 97 | | mean | 12.86 | | std | 7.99 | | cv | 0.621 | | sampleLengths | | 0 | 15 | | 1 | 13 | | 2 | 11 | | 3 | 18 | | 4 | 21 | | 5 | 17 | | 6 | 10 | | 7 | 3 | | 8 | 18 | | 9 | 4 | | 10 | 22 | | 11 | 21 | | 12 | 17 | | 13 | 8 | | 14 | 11 | | 15 | 3 | | 16 | 17 | | 17 | 7 | | 18 | 5 | | 19 | 21 | | 20 | 15 | | 21 | 17 | | 22 | 17 | | 23 | 4 | | 24 | 8 | | 25 | 4 | | 26 | 5 | | 27 | 18 | | 28 | 21 | | 29 | 12 | | 30 | 15 | | 31 | 11 | | 32 | 6 | | 33 | 29 | | 34 | 5 | | 35 | 13 | | 36 | 21 | | 37 | 14 | | 38 | 3 | | 39 | 4 | | 40 | 14 | | 41 | 1 | | 42 | 18 | | 43 | 15 | | 44 | 6 | | 45 | 6 | | 46 | 4 | | 47 | 14 | | 48 | 25 | | 49 | 19 |
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| 60.82% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.4020618556701031 | | totalSentences | 97 | | uniqueOpeners | 39 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 75 | | matches | (empty) | | ratio | 0 | |
| 97.33% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 75 | | matches | | 0 | "She stumbled forward, her trainers" | | 1 | "They stood on a wide," | | 2 | "It was a place of" | | 3 | "They moved down the path." | | 4 | "It was perfectly round, the" | | 5 | "Her stomach growled traitorously." | | 6 | "She pulled her hand back" | | 7 | "They gorged themselves at endless" | | 8 | "They were the helbound, the" | | 9 | "His gaze was fixed on" | | 10 | "He woreidered on the breast:" | | 11 | "They walked in silence for" | | 12 | "Its trunk was black and" | | 13 | "She was the most beautiful" | | 14 | "Her skin was the colour" | | 15 | "She wore a gown of" | | 16 | "She held a pomegranate, its" | | 17 | "She didn't look at them," | | 18 | "Her gaze shifted to Aurora," | | 19 | "It glistened like a drop" |
| | ratio | 0.307 | |
| 20.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 75 | | matches | | 0 | "The air shifted, tasting of" | | 1 | "She stumbled forward, her trainers" | | 2 | "The word was less a" | | 3 | "Nyx solidified from the surrounding" | | 4 | "Aurora righted herself, her fingers" | | 5 | "The Heartstone pulsed against her" | | 6 | "Nyx’s voice seemed to come" | | 7 | "Aurora scanned the horizon." | | 8 | "They stood on a wide," | | 9 | "The air hummed with the" | | 10 | "It was a place of" | | 11 | "The word left her mouth" | | 12 | "Nyx glided forward, their shadowy" | | 13 | "They moved down the path." | | 14 | "The trees themselves were alien," | | 15 | "Aurora reached out, her curiosity" | | 16 | "It was perfectly round, the" | | 17 | "Her stomach growled traitorously." | | 18 | "She pulled her hand back" | | 19 | "Aurora shoved her hands in" |
| | ratio | 0.88 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 75 | | matches | | 0 | "To either side, endless rows" | | 1 | "As if on cue, a" |
| | ratio | 0.027 | |
| 77.92% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 4 | | matches | | 0 | "She stumbled forward, her trainers sliding on something that wasn't pavement." | | 1 | "To either side, endless rows of trees heavy with fruit that shimmered with their own inner light, casting eerie, shifting shadows." | | 2 | "A thousand different cuisines, spices from worlds she couldn’t name, rich meats, and sugary confections, all mingling into a thick, intoxicating fog that coated…" | | 3 | "Something large was approaching, moving with a purpose that was neither curious nor welcoming." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 4 | | matches | | 0 | "Aurora shoved, the familiar action grounding her in this surreal landscape" | | 1 | "She popped, her smile widening" | | 2 | "Nyx said, their form rippling with clear tension" | | 3 | "Nyx urged, their whisper strained" |
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| 59.09% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 3 | | fancyTags | | 0 | "Nyx murmured (murmur)" | | 1 | "Nyx whispered (whisper)" | | 2 | "Nyx urged (urge)" |
| | dialogueSentences | 33 | | tagDensity | 0.152 | | leniency | 0.303 | | rawRatio | 0.6 | | effectiveRatio | 0.182 | |