| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1518 | | 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) | |
| 34.12% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1518 | | totalAiIsms | 20 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | word | "carried the weight" | | count | 1 |
| | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | |
| | highlights | | 0 | "vibrated" | | 1 | "pulse" | | 2 | "weight" | | 3 | "silence" | | 4 | "carried the weight" | | 5 | "echoed" | | 6 | "fractured" | | 7 | "processed" | | 8 | "pulsed" | | 9 | "whisper" | | 10 | "scanned" | | 11 | "measured" | | 12 | "calculated" | | 13 | "trembled" |
| |
| 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 | 310 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 310 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 310 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 15 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1518 | | ratio | 0 | | matches | (empty) | |
| 0.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 5 | | matches | | 0 | "There are no rings, she said." | | 1 | "I see the tracks, she said." | | 2 | "It burns, she said." | | 3 | "They do not stop, she said." | | 4 | "I am at the marker, she said." |
| |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 1518 | | uniqueNames | 12 | | maxNameDensity | 0.46 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Park | 1 | | Heartstone | 2 | | Cheung | 1 | | Bring | 1 | | Golden | 1 | | Empress | 1 | | Velcro | 1 | | Aurora | 7 | | Do | 5 | | You | 4 | | Three | 3 | | Rory | 3 |
| | persons | | 0 | "Heartstone" | | 1 | "Cheung" | | 2 | "Aurora" | | 3 | "You" | | 4 | "Rory" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 108 | | 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 | 1518 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 310 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 41.03 | | std | 23.92 | | cv | 0.583 | | sampleLengths | | 0 | 73 | | 1 | 111 | | 2 | 81 | | 3 | 42 | | 4 | 11 | | 5 | 11 | | 6 | 15 | | 7 | 21 | | 8 | 51 | | 9 | 24 | | 10 | 62 | | 11 | 19 | | 12 | 20 | | 13 | 74 | | 14 | 59 | | 15 | 51 | | 16 | 29 | | 17 | 46 | | 18 | 20 | | 19 | 21 | | 20 | 64 | | 21 | 23 | | 22 | 58 | | 23 | 25 | | 24 | 67 | | 25 | 14 | | 26 | 31 | | 27 | 68 | | 28 | 35 | | 29 | 23 | | 30 | 31 | | 31 | 43 | | 32 | 62 | | 33 | 49 | | 34 | 58 | | 35 | 9 | | 36 | 17 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 310 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 309 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 310 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1519 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.012508229098090849 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0013166556945358788 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 310 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 310 | | mean | 4.9 | | std | 2.45 | | cv | 0.5 | | sampleLengths | | 0 | 12 | | 1 | 14 | | 2 | 6 | | 3 | 9 | | 4 | 5 | | 5 | 11 | | 6 | 7 | | 7 | 9 | | 8 | 5 | | 9 | 7 | | 10 | 8 | | 11 | 7 | | 12 | 8 | | 13 | 4 | | 14 | 15 | | 15 | 13 | | 16 | 4 | | 17 | 3 | | 18 | 10 | | 19 | 7 | | 20 | 15 | | 21 | 5 | | 22 | 3 | | 23 | 4 | | 24 | 5 | | 25 | 5 | | 26 | 9 | | 27 | 11 | | 28 | 2 | | 29 | 3 | | 30 | 4 | | 31 | 3 | | 32 | 4 | | 33 | 2 | | 34 | 4 | | 35 | 7 | | 36 | 6 | | 37 | 9 | | 38 | 7 | | 39 | 5 | | 40 | 3 | | 41 | 7 | | 42 | 5 | | 43 | 8 | | 44 | 7 | | 45 | 3 | | 46 | 2 | | 47 | 6 | | 48 | 5 | | 49 | 3 |
| |
| 32.26% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 55 | | diversityRatio | 0.23548387096774193 | | totalSentences | 310 | | uniqueOpeners | 73 | |
| 12.44% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 268 | | matches | | 0 | "Only coordinates and a single" |
| | ratio | 0.004 | |
| 54.33% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 111 | | totalSentences | 268 | | matches | | 0 | "She stood in a clearing" | | 1 | "She reached under her coat." | | 2 | "It matched the rhythm of" | | 3 | "She flexed her fingers." | | 4 | "She adjusted her grip on" | | 5 | "She moved forward." | | 6 | "She kept her gaze level." | | 7 | "Her boots tracked shallow depressions" | | 8 | "She turned her head." | | 9 | "Their stems bent in a" | | 10 | "She tapped her phone against" | | 11 | "She pressed the red icon." | | 12 | "She lifted the device to" | | 13 | "You stepped through." | | 14 | "She kept her shoulders relaxed." | | 15 | "She adjusted the tote strap" | | 16 | "I am at the marker" | | 17 | "She turned her head." | | 18 | "Her peripheral vision caught a" | | 19 | "It vanished into a thicket" |
| | ratio | 0.414 | |
| 21.57% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 235 | | totalSentences | 268 | | matches | | 0 | "The oak standing stones rose" | | 1 | "Aurora stepped through the gap" | | 2 | "The humidity clung to her" | | 3 | "The grass beneath her boots" | | 4 | "Richmond Park vanished behind her." | | 5 | "She stood in a clearing" | | 6 | "Petals hung heavy with dew" | | 7 | "She reached under her coat." | | 8 | "The silver chain cooled against" | | 9 | "The crimson Heartstone pressed flat" | | 10 | "A low thrum vibrated through" | | 11 | "It matched the rhythm of" | | 12 | "She flexed her fingers." | | 13 | "The crescent scar on her" | | 14 | "She adjusted her grip on" | | 15 | "The weight inside shifted." | | 16 | "Glass bottles clinked." | | 17 | "Yu-Fei Cheung had handed her" | | 18 | "The delivery slip contained no" | | 19 | "She moved forward." |
| | ratio | 0.877 | |
| 18.66% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 268 | | matches | | | ratio | 0.004 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 15 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 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 | |