| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 38 | | tagDensity | 0.553 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.04% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1262 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 20.76% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1262 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "familiar" | | 1 | "chill" | | 2 | "scanned" | | 3 | "glint" | | 4 | "etched" | | 5 | "eyebrow" | | 6 | "clandestine" | | 7 | "echoed" | | 8 | "warmth" | | 9 | "unspoken" | | 10 | "sense of" | | 11 | "tapestry" | | 12 | "glinting" | | 13 | "weight" | | 14 | "echo" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "weight of words/silence" | | count | 1 |
|
| | highlights | | 0 | "the weight of unspoken words" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 62 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 62 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 80 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1255 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 1033 | | uniqueNames | 9 | | maxNameDensity | 0.87 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Rory | 9 | | Si | 1 | | Aurora | 1 | | London | 1 | | Silas | 5 | | Regret | 1 | | Prague | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Rory" | | 3 | "Si" | | 4 | "Silas" | | 5 | "Regret" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed yellower than she remembered" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1255 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 80 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 39.22 | | std | 31.63 | | cv | 0.806 | | sampleLengths | | 0 | 65 | | 1 | 140 | | 2 | 63 | | 3 | 14 | | 4 | 18 | | 5 | 43 | | 6 | 63 | | 7 | 65 | | 8 | 25 | | 9 | 23 | | 10 | 37 | | 11 | 25 | | 12 | 10 | | 13 | 61 | | 14 | 17 | | 15 | 21 | | 16 | 25 | | 17 | 13 | | 18 | 30 | | 19 | 20 | | 20 | 14 | | 21 | 16 | | 22 | 9 | | 23 | 88 | | 24 | 37 | | 25 | 50 | | 26 | 10 | | 27 | 8 | | 28 | 14 | | 29 | 36 | | 30 | 86 | | 31 | 109 |
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| 99.60% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 62 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 171 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 80 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 207 | | adjectiveStacks | 1 | | stackExamples | | 0 | "lurid green light cast" |
| | adverbCount | 6 | | adverbRatio | 0.028985507246376812 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.004830917874396135 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 80 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 80 | | mean | 15.69 | | std | 9.51 | | cv | 0.606 | | sampleLengths | | 0 | 27 | | 1 | 38 | | 2 | 12 | | 3 | 22 | | 4 | 16 | | 5 | 13 | | 6 | 12 | | 7 | 22 | | 8 | 16 | | 9 | 27 | | 10 | 16 | | 11 | 25 | | 12 | 22 | | 13 | 10 | | 14 | 4 | | 15 | 11 | | 16 | 7 | | 17 | 22 | | 18 | 20 | | 19 | 1 | | 20 | 19 | | 21 | 5 | | 22 | 14 | | 23 | 25 | | 24 | 13 | | 25 | 9 | | 26 | 10 | | 27 | 23 | | 28 | 10 | | 29 | 15 | | 30 | 10 | | 31 | 21 | | 32 | 2 | | 33 | 15 | | 34 | 22 | | 35 | 17 | | 36 | 8 | | 37 | 4 | | 38 | 6 | | 39 | 13 | | 40 | 42 | | 41 | 6 | | 42 | 12 | | 43 | 5 | | 44 | 21 | | 45 | 22 | | 46 | 3 | | 47 | 4 | | 48 | 9 | | 49 | 8 |
| |
| 81.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.5125 | | totalSentences | 80 | | uniqueOpeners | 41 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 32.90% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 62 | | matches | | 0 | "She glanced at her reflection" | | 1 | "She shook off the evening's" | | 2 | "Her eyes scanned the roomful" | | 3 | "She shook off the evening's" | | 4 | "Her eyes scanned the roomful" | | 5 | "He glanced at her with" | | 6 | "she said with a chuckle," | | 7 | "She fished a few bills" | | 8 | "His neatly trimmed beard matched" | | 9 | "They hadn't seen each other" | | 10 | "She felt something stir in" | | 11 | "She painted a smile on" | | 12 | "she said, accentuating the sharp" | | 13 | "He looked up, eyes widening" | | 14 | "he said, the corners of" | | 15 | "She took a sip from" | | 16 | "he said, popping an ice" | | 17 | "It clinked against his teeth" | | 18 | "she said, tucking a lock" | | 19 | "he asked, leaning back in" |
| | ratio | 0.468 | |
| 48.71% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 62 | | matches | | 0 | "She glanced at her reflection" | | 1 | "The warm interior of the" | | 2 | "She shook off the evening's" | | 3 | "The rainwater ran off her" | | 4 | "Her eyes scanned the roomful" | | 5 | "The warm interior of the" | | 6 | "She shook off the evening's" | | 7 | "The rainwater ran off her" | | 8 | "Her eyes scanned the roomful" | | 9 | "The door opened behind her," | | 10 | "Rory turned to see a" | | 11 | "He glanced at her with" | | 12 | "the woman said, giving the" | | 13 | "the bartender replied, reaching for" | | 14 | "she said with a chuckle," | | 15 | "She fished a few bills" | | 16 | "That's when she saw him." | | 17 | "The limp gave him away," | | 18 | "His neatly trimmed beard matched" | | 19 | "They hadn't seen each other" |
| | ratio | 0.823 | |
| 80.65% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 62 | | matches | | 0 | "Yet, here he was nursing" |
| | ratio | 0.016 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 17 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 38 | | tagDensity | 0.447 | | leniency | 0.895 | | rawRatio | 0 | | effectiveRatio | 0 | |