| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 22 | | tagDensity | 0.091 | | leniency | 0.182 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1291 | | 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) | |
| 57.40% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1291 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "throb" | | 1 | "warmth" | | 2 | "stomach" | | 3 | "lurched" | | 4 | "weight" | | 5 | "pulsed" | | 6 | "throbbed" | | 7 | "flickered" | | 8 | "chill" | | 9 | "familiar" | | 10 | "whisper" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "eyes widened" | | 1 | "hung in the air" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 142 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 142 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 162 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1291 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 79.89% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 44 | | wordCount | 1141 | | uniqueNames | 14 | | maxNameDensity | 1.4 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Heartstone | 2 | | Pendant | 1 | | Aurora | 16 | | Fae-forged | 1 | | Time | 1 | | Dymas | 2 | | Richmond | 1 | | Park | 1 | | Fae | 2 | | Veil | 1 | | Earth | 1 | | Hel | 1 | | Nyx | 8 | | Isolde | 6 |
| | persons | | 0 | "Heartstone" | | 1 | "Pendant" | | 2 | "Aurora" | | 3 | "Time" | | 4 | "Veil" | | 5 | "Hel" | | 6 | "Nyx" | | 7 | "Isolde" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Earth" |
| | globalScore | 0.799 | | windowScore | 1 | |
| 18.42% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 76 | | glossingSentenceCount | 4 | | matches | | 0 | "felt like night air held together by wi" | | 1 | "looked like crust, split to show soft whi" | | 2 | "sounded like wind through a keyhole" | | 3 | "looked like ledger pages" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.775 | | wordCount | 1291 | | matches | | 0 | "not of Dymas but of Richmond Park at dusk, winter dim" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 162 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 70 | | mean | 18.44 | | std | 16.97 | | cv | 0.92 | | sampleLengths | | 0 | 4 | | 1 | 62 | | 2 | 7 | | 3 | 26 | | 4 | 1 | | 5 | 32 | | 6 | 7 | | 7 | 17 | | 8 | 2 | | 9 | 28 | | 10 | 7 | | 11 | 11 | | 12 | 5 | | 13 | 3 | | 14 | 11 | | 15 | 18 | | 16 | 16 | | 17 | 1 | | 18 | 13 | | 19 | 5 | | 20 | 3 | | 21 | 33 | | 22 | 2 | | 23 | 37 | | 24 | 7 | | 25 | 64 | | 26 | 22 | | 27 | 1 | | 28 | 21 | | 29 | 1 | | 30 | 5 | | 31 | 32 | | 32 | 4 | | 33 | 24 | | 34 | 26 | | 35 | 18 | | 36 | 2 | | 37 | 71 | | 38 | 11 | | 39 | 60 | | 40 | 48 | | 41 | 28 | | 42 | 5 | | 43 | 10 | | 44 | 7 | | 45 | 16 | | 46 | 36 | | 47 | 43 | | 48 | 11 | | 49 | 4 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 142 | | matches | | 0 | "been caught" | | 1 | "were gone" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 183 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 162 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1049 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.02669208770257388 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0019065776930409914 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 162 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 162 | | mean | 7.97 | | std | 6.25 | | cv | 0.785 | | sampleLengths | | 0 | 4 | | 1 | 33 | | 2 | 6 | | 3 | 2 | | 4 | 21 | | 5 | 7 | | 6 | 2 | | 7 | 2 | | 8 | 22 | | 9 | 1 | | 10 | 4 | | 11 | 15 | | 12 | 13 | | 13 | 7 | | 14 | 6 | | 15 | 11 | | 16 | 2 | | 17 | 5 | | 18 | 12 | | 19 | 7 | | 20 | 2 | | 21 | 2 | | 22 | 7 | | 23 | 11 | | 24 | 5 | | 25 | 3 | | 26 | 2 | | 27 | 9 | | 28 | 18 | | 29 | 4 | | 30 | 11 | | 31 | 1 | | 32 | 1 | | 33 | 3 | | 34 | 10 | | 35 | 5 | | 36 | 3 | | 37 | 3 | | 38 | 3 | | 39 | 14 | | 40 | 13 | | 41 | 2 | | 42 | 1 | | 43 | 6 | | 44 | 23 | | 45 | 7 | | 46 | 5 | | 47 | 2 | | 48 | 22 | | 49 | 8 |
| |
| 64.61% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.43209876543209874 | | totalSentences | 162 | | uniqueOpeners | 70 | |
| 87.72% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 114 | | matches | | 0 | "Then sound rushed back in" | | 1 | "Then snapped back with a" | | 2 | "All that grease was familiar," |
| | ratio | 0.026 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 114 | | matches | | 0 | "Her feet left the wet" | | 1 | "She stepped through the shimmer." | | 2 | "Her boots found no ground" | | 3 | "They stood on black soil." | | 4 | "It coated her tongue." | | 5 | "Her voice came out small." | | 6 | "Their violet eyes widened, a" | | 7 | "They pressed a hand to" | | 8 | "she said to the vines" | | 9 | "Her delivery shoes sank and" | | 10 | "She pulled the moonsilver dagger" | | 11 | "Her silver hair floated though" | | 12 | "Their height stretched." | | 13 | "He must have been a" | | 14 | "His mouth opened too wide" | | 15 | "He spoke, but no words" | | 16 | "Her lavender eyes caught the" | | 17 | "Her delivery job." |
| | ratio | 0.158 | |
| 47.72% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 94 | | totalSentences | 114 | | matches | | 0 | "The standing stones breathed." | | 1 | "Aurora pressed her palm to" | | 2 | "The air between the stones" | | 3 | "A heat-haze that was not" | | 4 | "The Heartstone Pendant woke against" | | 5 | "Nyx stood behind her." | | 6 | "Violet pits where eyes should" | | 7 | "Aurora's fingers closed around the" | | 8 | "The silver chain bit cold" | | 9 | "Isolde moved past them both." | | 10 | "Her feet left the wet" | | 11 | "Aurora shot her a look." | | 12 | "The expression never reached the" | | 13 | "Nyx extended a hand." | | 14 | "Darkness pooled in their palm," | | 15 | "Aurora took it." | | 16 | "Nyx's skin felt like night" | | 17 | "She stepped through the shimmer." | | 18 | "The world inverted." | | 19 | "Sound cut out." |
| | ratio | 0.825 | |
| 43.86% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 114 | | matches | | | ratio | 0.009 | |
| 84.55% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 4 | | matches | | 0 | "A low, endless amber that stretched without cloud or sun, warm as the inside of a kiln and lit from everywhere and nowhere." | | 1 | "Around them, vines as thick as Aurora's torso coiled up trellises made from bone-white wood that spiraled twenty feet into the air." | | 2 | "Herbs the size of men, dill and fennel fronds brushing her shoulders, releasing clouds of anise and brine." | | 3 | "The Veil torn and held open by vines that grew through the tear itself, roots in Earth air, fruit in Hel amber." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "Isolde whispered (whisper)" |
| | dialogueSentences | 22 | | tagDensity | 0.091 | | leniency | 0.182 | | rawRatio | 0.5 | | effectiveRatio | 0.091 | |