| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 92.93% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1415 | | totalAiIsmAdverbs | 2 | | 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) | |
| 22.26% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1415 | | totalAiIsms | 22 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "traced" | | 1 | "etched" | | 2 | "tapestry" | | 3 | "echo" | | 4 | "aligned" | | 5 | "flickered" | | 6 | "pulsed" | | 7 | "scanned" | | 8 | "echoed" | | 9 | "searing" | | 10 | "marble" | | 11 | "shattered" | | 12 | "unraveling" | | 13 | "weight" | | 14 | "fractured" | | 15 | "whisper" | | 16 | "synchronized" | | 17 | "throbbed" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 206 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 206 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 206 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1415 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 96.92% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 62 | | wordCount | 1413 | | uniqueNames | 15 | | maxNameDensity | 1.06 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Aurora | 15 | | Heartstone | 5 | | Pendant | 1 | | Fae-Forged | 1 | | Blade | 2 | | Veil | 1 | | Isolde | 8 | | Fae | 3 | | Air | 4 | | Heat | 6 | | Nyx | 8 | | Stone | 3 | | Servers | 3 |
| | persons | | 0 | "Aurora" | | 1 | "Heartstone" | | 2 | "Blade" | | 3 | "Isolde" | | 4 | "Air" | | 5 | "Heat" | | 6 | "Nyx" | | 7 | "Stone" | | 8 | "Servers" |
| | places | | | globalScore | 0.969 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 113 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1415 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 206 | | matches | (empty) | |
| 84.76% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 41.62 | | std | 18.59 | | cv | 0.447 | | sampleLengths | | 0 | 53 | | 1 | 53 | | 2 | 43 | | 3 | 64 | | 4 | 77 | | 5 | 64 | | 6 | 30 | | 7 | 34 | | 8 | 62 | | 9 | 26 | | 10 | 32 | | 11 | 36 | | 12 | 60 | | 13 | 51 | | 14 | 29 | | 15 | 37 | | 16 | 23 | | 17 | 69 | | 18 | 16 | | 19 | 57 | | 20 | 64 | | 21 | 44 | | 22 | 20 | | 23 | 56 | | 24 | 17 | | 25 | 68 | | 26 | 17 | | 27 | 23 | | 28 | 43 | | 29 | 62 | | 30 | 23 | | 31 | 11 | | 32 | 24 | | 33 | 27 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 206 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 280 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 206 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 554 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.02707581227436823 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.007220216606498195 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 206 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 206 | | mean | 6.87 | | std | 4.14 | | cv | 0.603 | | sampleLengths | | 0 | 17 | | 1 | 11 | | 2 | 12 | | 3 | 6 | | 4 | 7 | | 5 | 13 | | 6 | 15 | | 7 | 11 | | 8 | 6 | | 9 | 8 | | 10 | 5 | | 11 | 6 | | 12 | 9 | | 13 | 13 | | 14 | 3 | | 15 | 7 | | 16 | 8 | | 17 | 11 | | 18 | 24 | | 19 | 7 | | 20 | 14 | | 21 | 3 | | 22 | 7 | | 23 | 16 | | 24 | 12 | | 25 | 8 | | 26 | 6 | | 27 | 4 | | 28 | 21 | | 29 | 4 | | 30 | 5 | | 31 | 11 | | 32 | 8 | | 33 | 10 | | 34 | 9 | | 35 | 7 | | 36 | 10 | | 37 | 4 | | 38 | 3 | | 39 | 19 | | 40 | 4 | | 41 | 5 | | 42 | 9 | | 43 | 7 | | 44 | 4 | | 45 | 2 | | 46 | 7 | | 47 | 9 | | 48 | 4 | | 49 | 6 |
| |
| 67.48% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.4368932038834951 | | totalSentences | 206 | | uniqueOpeners | 90 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 184 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 184 | | matches | | 0 | "She planted her boots on" | | 1 | "She tilted her head, pale" | | 2 | "She rubbed the crescent scar" | | 3 | "They moved deeper." | | 4 | "Her boots made no echo." | | 5 | "She withdrew the Fae-Forged Blade" | | 6 | "She pointed the blade at" | | 7 | "It answers to cold." | | 8 | "Their form solidified only at" | | 9 | "She aligned the first ring" | | 10 | "We don’t have a choice." | | 11 | "They reached a landing." | | 12 | "She pressed her palm flat" | | 13 | "She tapped one." | | 14 | "She tapped another." | | 15 | "She remembered the astrolabe’s rings." | | 16 | "She found a stud near" | | 17 | "She found a second stud" | | 18 | "It’s a map." | | 19 | "She matched the pattern to" |
| | ratio | 0.174 | |
| 55.11% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 149 | | totalSentences | 184 | | matches | | 0 | "The portal swallowed the last" | | 1 | "Air hit Aurora first, thick" | | 2 | "She planted her boots on" | | 3 | "Heat radiated upward, baking her" | | 4 | "Sweat traced the line of" | | 5 | "Nyx drifted past her shoulders," | | 6 | "The shade’s violet eyes caught" | | 7 | "The shadow’s voice threaded the" | | 8 | "This reeks of kitchens that" | | 9 | "Isolde stepped from the light." | | 10 | "She tilted her head, pale" | | 11 | "The stone breathes." | | 12 | "Aurora pulled the Heartstone Pendant" | | 13 | "The crimson gem pressed against" | | 14 | "She rubbed the crescent scar" | | 15 | "The vegetation fused into copper" | | 16 | "They moved deeper." | | 17 | "The chamber opened into a" | | 18 | "Stalactites hung like frozen honeycombs," | | 19 | "A dais carved from a" |
| | ratio | 0.81 | |
| 27.17% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 184 | | matches | | 0 | "If we follow the conduit," |
| | ratio | 0.005 | |
| 91.84% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 3 | | matches | | 0 | "Stalactites hung like frozen honeycombs, dripping slow, iridescent fluid that pooled in shallow basins without sound." | | 1 | "Dust motes danced in amber beams slicing through high arched windows that displayed a swirling tapestry of clouds and impossible terrain." | | 2 | "It ruptured under her fingertip, bleeding thick violet sap that hissed on contact." |
| |
| 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 | |