| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 36 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 83.68% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1838 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "precisely" | | 1 | "sharply" | | 2 | "slightly" | | 3 | "slowly" | | 4 | "very" | | 5 | "softly" |
| |
| 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) | |
| 70.08% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1838 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "pulsed" | | 1 | "shimmered" | | 2 | "silk" | | 3 | "trembled" | | 4 | "throbbed" | | 5 | "porcelain" | | 6 | "stomach" | | 7 | "crystal" | | 8 | "perfect" | | 9 | "resolved" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 166 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 166 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 189 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1838 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 61 | | wordCount | 1664 | | uniqueNames | 13 | | maxNameDensity | 1.68 | | worstName | "Aurora" | | maxWindowNameDensity | 4 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 28 | | Isolde | 9 | | Park | 1 | | Heartstone | 2 | | Silas | 1 | | London | 2 | | Tube | 1 | | Hel | 1 | | Fae-forged | 1 | | English | 1 | | Fae | 2 | | Nyx | 9 | | Chop | 3 |
| | persons | | 0 | "Aurora" | | 1 | "Isolde" | | 2 | "Heartstone" | | 3 | "Silas" | | 4 | "Nyx" |
| | places | | 0 | "Park" | | 1 | "London" | | 2 | "Tube" | | 3 | "Hel" |
| | globalScore | 0.659 | | windowScore | 0.333 | |
| 81.19% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 109 | | glossingSentenceCount | 3 | | matches | | 0 | "seemed woven from leaves" | | 1 | "seemed caught in separate places" | | 2 | "looked like stacked porcelain bowls" |
| |
| 36.78% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 1.632 | | wordCount | 1838 | | matches | | 0 | "not weaker exactly, but pulled taut" | | 1 | "not of flame but of glowing coals shaped like tiny human hearts" | | 2 | "not splattering but unfolding" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 189 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 104 | | mean | 17.67 | | std | 20.62 | | cv | 1.167 | | sampleLengths | | 0 | 9 | | 1 | 92 | | 2 | 11 | | 3 | 17 | | 4 | 10 | | 5 | 36 | | 6 | 4 | | 7 | 4 | | 8 | 59 | | 9 | 32 | | 10 | 11 | | 11 | 12 | | 12 | 6 | | 13 | 1 | | 14 | 69 | | 15 | 26 | | 16 | 8 | | 17 | 59 | | 18 | 22 | | 19 | 7 | | 20 | 1 | | 21 | 4 | | 22 | 10 | | 23 | 1 | | 24 | 60 | | 25 | 5 | | 26 | 3 | | 27 | 51 | | 28 | 7 | | 29 | 3 | | 30 | 3 | | 31 | 96 | | 32 | 6 | | 33 | 37 | | 34 | 4 | | 35 | 6 | | 36 | 17 | | 37 | 35 | | 38 | 5 | | 39 | 2 | | 40 | 6 | | 41 | 20 | | 42 | 20 | | 43 | 1 | | 44 | 9 | | 45 | 28 | | 46 | 8 | | 47 | 4 | | 48 | 18 | | 49 | 4 |
| |
| 94.69% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 166 | | matches | | 0 | "was suggested" | | 1 | "been made" | | 2 | "been built" | | 3 | "been crowded" | | 4 | "was flattened" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 268 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 189 | | ratio | 0.005 | | matches | | |
| 93.46% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1674 | | adjectiveStacks | 1 | | stackExamples | | 0 | "enormous, fat-bodied figures" |
| | adverbCount | 68 | | adverbRatio | 0.04062126642771804 | | lyAdverbCount | 18 | | lyAdverbRatio | 0.010752688172043012 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 189 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 189 | | mean | 9.72 | | std | 7.39 | | cv | 0.76 | | sampleLengths | | 0 | 9 | | 1 | 21 | | 2 | 31 | | 3 | 5 | | 4 | 35 | | 5 | 11 | | 6 | 6 | | 7 | 11 | | 8 | 10 | | 9 | 10 | | 10 | 26 | | 11 | 4 | | 12 | 4 | | 13 | 6 | | 14 | 7 | | 15 | 19 | | 16 | 27 | | 17 | 5 | | 18 | 16 | | 19 | 11 | | 20 | 11 | | 21 | 4 | | 22 | 8 | | 23 | 6 | | 24 | 1 | | 25 | 9 | | 26 | 24 | | 27 | 36 | | 28 | 9 | | 29 | 4 | | 30 | 13 | | 31 | 8 | | 32 | 10 | | 33 | 24 | | 34 | 25 | | 35 | 6 | | 36 | 11 | | 37 | 5 | | 38 | 7 | | 39 | 1 | | 40 | 4 | | 41 | 5 | | 42 | 5 | | 43 | 1 | | 44 | 11 | | 45 | 22 | | 46 | 18 | | 47 | 9 | | 48 | 5 | | 49 | 3 |
| |
| 59.08% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3862433862433862 | | totalSentences | 189 | | uniqueOpeners | 73 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 9 | | totalSentences | 147 | | matches | | 0 | "Then the Heartstone pendant struck" | | 1 | "Just a thin distortion, like" | | 2 | "Then she stumbled forward onto" | | 3 | "Only a trick of the" | | 4 | "Then it opened both mouths" | | 5 | "Then, in their whispering voice," | | 6 | "Only the soft clatter of" | | 7 | "Then the oval resolved into" | | 8 | "Then something stepped into the" |
| | ratio | 0.061 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 147 | | matches | | 0 | "They were only stones: five" | | 1 | "She caught it through her" | | 2 | "Their violet eyes hung in" | | 3 | "It was not a dramatic" | | 4 | "Her waist-length silver hair lay" | | 5 | "She looked at Aurora with" | | 6 | "Their form gathered itself from" | | 7 | "Their voice seemed to come" | | 8 | "She looked at them." | | 9 | "She pulled the Fae-forged blade" | | 10 | "She stepped toward the distortion." | | 11 | "Her boots remained in wet" | | 12 | "Her lungs filled with air" | | 13 | "Its floor consisted of square" | | 14 | "It glowed everywhere, a warm," | | 15 | "It rolled over the orchards," | | 16 | "They turned toward the open" | | 17 | "It pulled her attention toward" | | 18 | "She had eaten before leaving" | | 19 | "She wanted a bowl of" |
| | ratio | 0.218 | |
| 79.05% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 112 | | totalSentences | 147 | | matches | | 0 | "The standing stones did not" | | 1 | "That was the first thing" | | 2 | "They were only stones: five" | | 3 | "Rain had darkened the grass." | | 4 | "Richmond Park lay somewhere behind" | | 5 | "She caught it through her" | | 6 | "The crimson stone pulsed beneath" | | 7 | "Nyx whispered from the shadow" | | 8 | "Their violet eyes hung in" | | 9 | "The rest of them was" | | 10 | "The air there shimmered." | | 11 | "It was not a dramatic" | | 12 | "Isolde stopped before the shimmer." | | 13 | "Her waist-length silver hair lay" | | 14 | "She looked at Aurora with" | | 15 | "Aurora drew a breath." | | 16 | "The seer’s mouth barely moved," | | 17 | "Isolde had brought them here" | | 18 | "Dymas, Isolde had called the" | | 19 | "A realm in Hel." |
| | ratio | 0.762 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 147 | | matches | (empty) | | ratio | 0 | |
| 60.04% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 69 | | technicalSentenceCount | 8 | | matches | | 0 | "Richmond Park lay somewhere behind them, ordinary and wet and full of dog walkers who would never notice a girl with black hair slipping through the bracken aft…" | | 1 | "Her waist-length silver hair lay smooth over a pale green coat that seemed woven from leaves." | | 2 | "Her lungs filled with air that smelled of woodsmoke and sugar." | | 3 | "Trees heavy with fruit marched up hills that could not possibly have fitted behind the standing stones: branches bearing plums the blue-black colour of bruises,…" | | 4 | "Silver irrigation channels ran between them, carrying liquid that flashed gold under the amber sky." | | 5 | "Smoke curled from hundreds of chimneys, carrying scents that made her stomach tighten despite herself." | | 6 | "Along the way, she noticed details that made the place seem older than its glittering surfaces first suggested." | | 7 | "Stalls stood ready beneath awnings of striped silk, piled high with produce in impossible colours: spiralled cucumbers of violet and white, bundles of pale mush…" |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 1 | | fancyTags | | 0 | "Nyx whispered (whisper)" |
| | dialogueSentences | 36 | | tagDensity | 0.278 | | leniency | 0.556 | | rawRatio | 0.1 | | effectiveRatio | 0.056 | |