| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 94.62% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 929 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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 | 929 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "velvet" | | 1 | "weight" | | 2 | "rhythmic" | | 3 | "loomed" | | 4 | "kaleidoscope" | | 5 | "silk" | | 6 | "pulse" | | 7 | "oppressive" | | 8 | "warmth" | | 9 | "scanned" | | 10 | "silence" | | 11 | "mosaic" | | 12 | "etched" | | 13 | "chill" |
| |
| 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 | 0 | | narrationSentences | 61 | | matches | (empty) | |
| 72.60% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 61 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 71 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 929 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 63.69% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 811 | | uniqueNames | 13 | | maxNameDensity | 1.73 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Aurora | 14 | | Shade | 2 | | London | 1 | | Fae-Forged | 1 | | Blade | 1 | | Heartstone | 1 | | Pendant | 1 | | Fae | 3 | | Isolde | 5 | | Half-Fae | 1 | | Nyx | 4 |
| | persons | | 0 | "Aurora" | | 1 | "Shade" | | 2 | "Fae" | | 3 | "Isolde" | | 4 | "Half-Fae" | | 5 | "Nyx" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" |
| | globalScore | 0.637 | | windowScore | 0.833 | |
| 55.66% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like fine, shimmering dust" | | 1 | "felt like a held breath" |
| |
| 92.36% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.076 | | wordCount | 929 | | matches | | 0 | "not her own reflection, but a sky filled with stars" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 71 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 29.97 | | std | 18.48 | | cv | 0.617 | | sampleLengths | | 0 | 66 | | 1 | 18 | | 2 | 11 | | 3 | 46 | | 4 | 20 | | 5 | 7 | | 6 | 18 | | 7 | 46 | | 8 | 7 | | 9 | 52 | | 10 | 76 | | 11 | 32 | | 12 | 18 | | 13 | 19 | | 14 | 14 | | 15 | 43 | | 16 | 23 | | 17 | 15 | | 18 | 61 | | 19 | 29 | | 20 | 12 | | 21 | 30 | | 22 | 40 | | 23 | 12 | | 24 | 20 | | 25 | 33 | | 26 | 14 | | 27 | 48 | | 28 | 50 | | 29 | 8 | | 30 | 41 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 61 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 121 | | matches | (empty) | |
| 62.37% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 2 | | flaggedSentences | 2 | | totalSentences | 71 | | ratio | 0.028 | | matches | | 0 | "The moisture there wasn't sweat; it felt like fine, shimmering dust." | | 1 | "The silence of the woods wasn't a lack of sound; it was a presence." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 818 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, crescent-shaped scar" |
| | adverbCount | 16 | | adverbRatio | 0.019559902200488997 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.003667481662591687 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 71 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 71 | | mean | 13.08 | | std | 5.73 | | cv | 0.438 | | sampleLengths | | 0 | 22 | | 1 | 19 | | 2 | 3 | | 3 | 22 | | 4 | 11 | | 5 | 7 | | 6 | 11 | | 7 | 3 | | 8 | 15 | | 9 | 18 | | 10 | 10 | | 11 | 6 | | 12 | 14 | | 13 | 7 | | 14 | 7 | | 15 | 11 | | 16 | 12 | | 17 | 19 | | 18 | 15 | | 19 | 7 | | 20 | 14 | | 21 | 17 | | 22 | 21 | | 23 | 7 | | 24 | 10 | | 25 | 22 | | 26 | 9 | | 27 | 13 | | 28 | 15 | | 29 | 8 | | 30 | 20 | | 31 | 4 | | 32 | 18 | | 33 | 3 | | 34 | 16 | | 35 | 14 | | 36 | 18 | | 37 | 25 | | 38 | 2 | | 39 | 14 | | 40 | 7 | | 41 | 15 | | 42 | 9 | | 43 | 19 | | 44 | 4 | | 45 | 13 | | 46 | 16 | | 47 | 14 | | 48 | 15 | | 49 | 12 |
| |
| 37.32% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.2676056338028169 | | totalSentences | 71 | | uniqueOpeners | 19 | |
| 55.56% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 60 | | matches | | 0 | "Instead, a swirling kaleidoscope of" |
| | ratio | 0.017 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 60 | | matches | | 0 | "It grew thick and sweet," | | 1 | "She squinted against a sudden," | | 2 | "Her feet pressed into the" | | 3 | "She moved through the undergrowth" | | 4 | "They reached out a hand," | | 5 | "They glowed with a soft," | | 6 | "She gestured toward a stream" | | 7 | "She felt a strange vertigo," | | 8 | "She scanned the periphery." | | 9 | "It sat heavy on Aurora's" | | 10 | "They hovered at the edge" | | 11 | "It was a shallow basin" | | 12 | "She looked back at Isolde," |
| | ratio | 0.217 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 60 | | matches | | 0 | "The heavy, damp scent of" | | 1 | "A sudden, sharp pressure pressed" | | 2 | "The air transformed." | | 3 | "It grew thick and sweet," | | 4 | "Aurora gripped the strap of" | | 5 | "She squinted against a sudden," | | 6 | "Isolde drifted forward." | | 7 | "The silver of her hair" | | 8 | "Her feet pressed into the" | | 9 | "She moved through the undergrowth" | | 10 | "Aurora stepped over a twisted" | | 11 | "The bark felt warm, pulsing" | | 12 | "Aurora wiped a hand across" | | 13 | "The moisture there wasn't sweat;" | | 14 | "Nyx loomed behind her, a" | | 15 | "The Shade’s form rippled, the" | | 16 | "A faint violet glow emanated" | | 17 | "Nyx’s voice drifted through the" | | 18 | "They reached out a hand," | | 19 | "The petals, a shade of" |
| | ratio | 0.933 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 60 | | matches | (empty) | | ratio | 0 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 5 | | matches | | 0 | "It grew thick and sweet, smelling of crushed jasmine and ozone, a cloying perfume that clung to the back of her throat." | | 1 | "The bark felt warm, pulsing with a rhythmic thrum that mirrored her own heartbeat." | | 2 | "The Shade’s form rippled, the edges of their cloak bleeding into the shadows cast by the towering, spiral-shaped trees." | | 3 | "She gestured toward a stream that flowed uphill, the water translucent and sparkling like liquid diamonds." | | 4 | "She felt a strange vertigo, a sense that the ground wasn't entirely solid, as if the grove existed in a state of constant, gentle vibration." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |