| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 95.90% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2442 | | 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) | |
| 26.29% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2442 | | totalAiIsms | 36 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "pulse" | | 1 | "warmth" | | 2 | "reminder" | | 3 | "chill" | | 4 | "whisper" | | 5 | "etched" | | 6 | "electric" | | 7 | "flickered" | | 8 | "shimmered" | | 9 | "pulsed" | | 10 | "throb" | | 11 | "stomach" | | 12 | "comfortable" | | 13 | "weight" | | 14 | "echoes" | | 15 | "silk" | | 16 | "tinged" | | 17 | "desire" | | 18 | "echoing" | | 19 | "footsteps" |
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| 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 | 1 | | narrationSentences | 254 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 254 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 254 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2442 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 101 | | wordCount | 2442 | | uniqueNames | 24 | | maxNameDensity | 1.02 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Heartstone | 1 | | Pendant | 1 | | Hel | 4 | | Fae-forged | 1 | | English | 1 | | Cardiff | 2 | | Evan | 2 | | Isolde | 14 | | Veil | 3 | | Aurora | 25 | | Hel-warm | 1 | | London | 3 | | Fae | 4 | | Silas | 1 | | Nyx | 15 | | Grove | 7 | | Aldric | 1 | | Rory | 2 | | Dymas | 1 | | Carter | 2 | | One | 5 | | Unease | 3 |
| | persons | | 0 | "Pendant" | | 1 | "Hel" | | 2 | "Evan" | | 3 | "Isolde" | | 4 | "Veil" | | 5 | "Aurora" | | 6 | "Fae" | | 7 | "Silas" | | 8 | "Nyx" | | 9 | "Grove" | | 10 | "Rory" | | 11 | "Carter" | | 12 | "One" | | 13 | "Unease" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Cardiff" | | 3 | "London" |
| | globalScore | 0.988 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 174 | | glossingSentenceCount | 3 | | matches | | 0 | "seemed possible" | | 1 | "appeared solid human, with a face that belonged to someone named Aldric who had died in 1643" | | 2 | "felt like hands on her shoulders" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.41 | | wordCount | 2442 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 254 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 66 | | mean | 37 | | std | 19.39 | | cv | 0.524 | | sampleLengths | | 0 | 61 | | 1 | 36 | | 2 | 37 | | 3 | 7 | | 4 | 47 | | 5 | 65 | | 6 | 39 | | 7 | 24 | | 8 | 36 | | 9 | 12 | | 10 | 63 | | 11 | 45 | | 12 | 10 | | 13 | 74 | | 14 | 30 | | 15 | 40 | | 16 | 39 | | 17 | 11 | | 18 | 58 | | 19 | 3 | | 20 | 23 | | 21 | 47 | | 22 | 44 | | 23 | 9 | | 24 | 59 | | 25 | 21 | | 26 | 34 | | 27 | 49 | | 28 | 89 | | 29 | 26 | | 30 | 49 | | 31 | 66 | | 32 | 49 | | 33 | 21 | | 34 | 67 | | 35 | 45 | | 36 | 32 | | 37 | 8 | | 38 | 63 | | 39 | 26 | | 40 | 9 | | 41 | 46 | | 42 | 63 | | 43 | 34 | | 44 | 30 | | 45 | 31 | | 46 | 77 | | 47 | 19 | | 48 | 18 | | 49 | 30 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 254 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 446 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 254 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 2454 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 81 | | adverbRatio | 0.03300733496332518 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.006112469437652812 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 254 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 254 | | mean | 9.61 | | std | 5.72 | | cv | 0.595 | | sampleLengths | | 0 | 14 | | 1 | 10 | | 2 | 14 | | 3 | 4 | | 4 | 6 | | 5 | 13 | | 6 | 16 | | 7 | 10 | | 8 | 10 | | 9 | 13 | | 10 | 7 | | 11 | 17 | | 12 | 7 | | 13 | 8 | | 14 | 13 | | 15 | 20 | | 16 | 6 | | 17 | 3 | | 18 | 10 | | 19 | 19 | | 20 | 16 | | 21 | 17 | | 22 | 4 | | 23 | 13 | | 24 | 13 | | 25 | 5 | | 26 | 4 | | 27 | 8 | | 28 | 7 | | 29 | 5 | | 30 | 4 | | 31 | 18 | | 32 | 18 | | 33 | 5 | | 34 | 7 | | 35 | 4 | | 36 | 14 | | 37 | 18 | | 38 | 21 | | 39 | 6 | | 40 | 17 | | 41 | 4 | | 42 | 8 | | 43 | 6 | | 44 | 3 | | 45 | 7 | | 46 | 5 | | 47 | 5 | | 48 | 25 | | 49 | 7 |
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| 50.13% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.31496062992125984 | | totalSentences | 254 | | uniqueOpeners | 80 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 8 | | totalSentences | 251 | | matches | | 0 | "Just the faint inner glow" | | 1 | "Then pay it." | | 2 | "All left echoes." | | 3 | "Even the flat above the" | | 4 | "Instead she got singing flowers" | | 5 | "Then show me." | | 6 | "Then we bargain." | | 7 | "Instead she bumped her shoulder" |
| | ratio | 0.032 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 55 | | totalSentences | 251 | | matches | | 0 | "Her bare feet left the" | | 1 | "She paused between two stones" | | 2 | "She glanced at the small" | | 3 | "Her next breath tasted green" | | 4 | "Their whisper cut through the" | | 5 | "She had fled Cardiff to" | | 6 | "She pushed deeper into the" | | 7 | "She shook it." | | 8 | "She looked away fast." | | 9 | "Their form flickered at the" | | 10 | "We need what Isolde promised." | | 11 | "She tilted her head, listening" | | 12 | "Her pale lavender eyes reflected" | | 13 | "She reached out." | | 14 | "She remembered the night in" | | 15 | "Its petals chimed again, louder," | | 16 | "Her stomach growled despite the" | | 17 | "She rubbed her wrist until" | | 18 | "You brought us to a" | | 19 | "Her smile carried neither warmth" |
| | ratio | 0.219 | |
| 51.63% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 205 | | totalSentences | 251 | | matches | | 0 | "Aurora shoved through the last" | | 1 | "Thorns scraped her jacket but" | | 2 | "The Heartstone Pendant bounced against" | | 3 | "Nyx slid from the shade" | | 4 | "Violet eyes fixed on the" | | 5 | "The shade’s form rippled like" | | 6 | "Isolde walked straight through nettles" | | 7 | "Her bare feet left the" | | 8 | "She paused between two stones" | | 9 | "Cross now or lose the" | | 10 | "Aurora tightened her grip on" | | 11 | "The moonsilver dagger stayed cold" | | 12 | "She glanced at the small" | | 13 | "The air folded." | | 14 | "The next washed her face" | | 15 | "Her next breath tasted green" | | 16 | "The ground changed under her" | | 17 | "Wildflowers blanketed every inch." | | 18 | "Petals in violent indigo and" | | 19 | "Aurora jerked her foot away." |
| | ratio | 0.817 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 251 | | matches | (empty) | | ratio | 0 | |
| 75.47% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 106 | | technicalSentenceCount | 10 | | matches | | 0 | "Each inhale brought new scents: baked bread laced with something electric, roasted meat dripping fat that sizzled though no fire burned, ripe berries on the edg…" | | 1 | "Its petals chimed again, louder, a melody that made Aurora’s scar itch." | | 2 | "The blade stayed out, leaf-shaped edge catching stray glints that danced across the stream." | | 3 | "She wanted solid ground, clear rules, the kind of logic that won arguments in lecture halls." | | 4 | "Instead she got singing flowers and upside-down water and a half-fae who answered every question with another wrapped in silk." | | 5 | "Her fingers hovered above a cluster of grapes that shone like rubies under candlelight." | | 6 | "The singing blooms, the refusing-to-rot feast, the reflection that wore her older face, the way time refused to march in straight lines." | | 7 | "One grape split, spilling juice that ran uphill toward Aurora’s boot." | | 8 | "Her scar itched like it remembered every mistake that led her here." | | 9 | "Steps carved themselves from moss as she approached, each one pulsing with faint inner light that matched the pendant’s glow." |
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| 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 | |