| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 36 | | tagDensity | 0.389 | | leniency | 0.778 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1461 | | 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) | |
| 11.02% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1461 | | totalAiIsms | 26 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "chilled" | | 1 | "warmth" | | 2 | "rhythmic" | | 3 | "echoed" | | 4 | "searing" | | 5 | "chill" | | 6 | "synchronized" | | 7 | "pristine" | | 8 | "spectral" | | 9 | "whisper" | | 10 | "traced" | | 11 | "marble" | | 12 | "beacon" | | 13 | "navigated" | | 14 | "pulsed" | | 15 | "loomed" | | 16 | "roaring" | | 17 | "pounding" | | 18 | "shattered" | | 19 | "flickered" |
| |
| 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 | 132 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 132 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 154 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1454 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 67 | | wordCount | 1204 | | uniqueNames | 15 | | maxNameDensity | 2.16 | | worstName | "Rory" | | maxWindowNameDensity | 4 | | worstWindowName | "Rory" | | discoveredNames | | Veil | 1 | | Richmond | 1 | | Park | 1 | | Fae-Forged | 1 | | Earth | 1 | | Heartstone | 3 | | Grove | 1 | | Nyx | 10 | | Rory | 26 | | Fae | 5 | | Dymas | 2 | | Pale | 2 | | Isolde | 11 | | Saliva | 1 | | Fae-forged | 1 |
| | persons | | 0 | "Veil" | | 1 | "Earth" | | 2 | "Nyx" | | 3 | "Rory" | | 4 | "Dymas" | | 5 | "Isolde" | | 6 | "Saliva" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Grove" | | 3 | "Pale" |
| | globalScore | 0.42 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 109 | | glossingSentenceCount | 2 | | matches | | 0 | "appeared translucent" | | 1 | "tasted like ash in the back of her throat" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1454 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 154 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 60 | | mean | 24.23 | | std | 14.47 | | cv | 0.597 | | sampleLengths | | 0 | 66 | | 1 | 34 | | 2 | 29 | | 3 | 3 | | 4 | 21 | | 5 | 11 | | 6 | 26 | | 7 | 42 | | 8 | 21 | | 9 | 6 | | 10 | 8 | | 11 | 27 | | 12 | 30 | | 13 | 50 | | 14 | 21 | | 15 | 18 | | 16 | 3 | | 17 | 43 | | 18 | 34 | | 19 | 12 | | 20 | 12 | | 21 | 15 | | 22 | 23 | | 23 | 35 | | 24 | 25 | | 25 | 29 | | 26 | 55 | | 27 | 24 | | 28 | 3 | | 29 | 15 | | 30 | 13 | | 31 | 22 | | 32 | 4 | | 33 | 24 | | 34 | 36 | | 35 | 23 | | 36 | 37 | | 37 | 8 | | 38 | 23 | | 39 | 2 | | 40 | 29 | | 41 | 38 | | 42 | 25 | | 43 | 39 | | 44 | 26 | | 45 | 10 | | 46 | 3 | | 47 | 34 | | 48 | 15 | | 49 | 58 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 132 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 181 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 154 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1211 | | adjectiveStacks | 1 | | stackExamples | | 0 | "tight over hollow cheeks." |
| | adverbCount | 14 | | adverbRatio | 0.011560693641618497 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.002477291494632535 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 154 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 154 | | mean | 9.44 | | std | 4.04 | | cv | 0.428 | | sampleLengths | | 0 | 6 | | 1 | 16 | | 2 | 18 | | 3 | 3 | | 4 | 8 | | 5 | 15 | | 6 | 4 | | 7 | 8 | | 8 | 7 | | 9 | 15 | | 10 | 16 | | 11 | 13 | | 12 | 3 | | 13 | 11 | | 14 | 10 | | 15 | 11 | | 16 | 11 | | 17 | 9 | | 18 | 6 | | 19 | 6 | | 20 | 10 | | 21 | 11 | | 22 | 15 | | 23 | 10 | | 24 | 11 | | 25 | 6 | | 26 | 7 | | 27 | 1 | | 28 | 9 | | 29 | 2 | | 30 | 5 | | 31 | 11 | | 32 | 5 | | 33 | 10 | | 34 | 7 | | 35 | 8 | | 36 | 3 | | 37 | 5 | | 38 | 11 | | 39 | 11 | | 40 | 12 | | 41 | 8 | | 42 | 11 | | 43 | 10 | | 44 | 11 | | 45 | 7 | | 46 | 3 | | 47 | 4 | | 48 | 12 | | 49 | 11 |
| |
| 62.99% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.4090909090909091 | | totalSentences | 154 | | uniqueOpeners | 63 | |
| 25.64% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 130 | | matches | | 0 | "Instead, carnivorous pitcher plants with" |
| | ratio | 0.008 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 130 | | matches | | 0 | "She gripped the Fae-Forged blade" | | 1 | "Her pale lavender eyes locked" | | 2 | "They marched down the cobblestone" | | 3 | "She stepped over a cracked" | | 4 | "They materialized near a gnarled" | | 5 | "They wore pristine white chef" | | 6 | "He tore glowing golden apples" | | 7 | "They slid along the ground," | | 8 | "They chopped and diced at" | | 9 | "Their six-foot solid form towered" | | 10 | "They descended the slope." | | 11 | "It resembled a pomegranate, but" | | 12 | "They hauled a groaning iron" | | 13 | "She kept her grip on" | | 14 | "She stared at the pulsating" | | 15 | "They crept out from behind" | | 16 | "Her ethereal face betrayed no" | | 17 | "They cast flickering shadows across" | | 18 | "She unclasped the Heartstone pendant" |
| | ratio | 0.146 | |
| 2.31% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 119 | | totalSentences | 130 | | matches | | 0 | "The Veil tore like wet" | | 1 | "Isolde stepped through the shimmering" | | 2 | "Nyx slid through the gap" | | 3 | "Rory went last." | | 4 | "She gripped the Fae-Forged blade" | | 5 | "The moonsilver metal chilled her" | | 6 | "Amber light swallowed them." | | 7 | "The winter bite of the" | | 8 | "A thick, syrupy warmth coated" | | 9 | "The sky above held no" | | 10 | "Rory released the hilt of" | | 11 | "The Heartstone sitting against her" | | 12 | "Nyx bled into a solid" | | 13 | "Violet eyes tracked the twisting," | | 14 | "Isolde brushed a silver lock" | | 15 | "Her pale lavender eyes locked" | | 16 | "They marched down the cobblestone" | | 17 | "Row upon row of colossal" | | 18 | "Grapes the size of bloated" | | 19 | "The air carried the scent" |
| | ratio | 0.915 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 130 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 57 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 94.44% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "Isolde pressed (press)" | | 1 | "the beasts bellowed (bellow)" |
| | dialogueSentences | 36 | | tagDensity | 0.056 | | leniency | 0.111 | | rawRatio | 1 | | effectiveRatio | 0.111 | |