| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 28 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 93 | | tagDensity | 0.301 | | leniency | 0.602 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.73% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2202 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 61.40% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2202 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "throbbed" | | 1 | "silence" | | 2 | "scanned" | | 3 | "navigate" | | 4 | "raced" | | 5 | "resonance" | | 6 | "etched" | | 7 | "weight" | | 8 | "predator" | | 9 | "flickered" | | 10 | "trembled" | | 11 | "echoed" | | 12 | "footsteps" | | 13 | "pulse" | | 14 | "synchronized" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "hung in the air" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 264 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 264 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 329 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 50 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 4 | | totalWords | 2203 | | ratio | 0.002 | | matches | | 0 | "B. Carter - 1998" 1/1/1998, 12:00:00 AM |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 81 | | wordCount | 1168 | | uniqueNames | 5 | | maxNameDensity | 3.68 | | worstName | "Rory" | | maxWindowNameDensity | 6 | | worstWindowName | "Rory" | | discoveredNames | | Lucien | 35 | | Evan | 1 | | Broker | 1 | | Rory | 43 | | Thames | 1 |
| | persons | | | places | | | globalScore | 0 | | windowScore | 0 | |
| 74.24% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like it hadn't been touched in yea" | | 1 | "looked like a man ready for war" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 2203 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 329 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 103 | | mean | 21.39 | | std | 13.93 | | cv | 0.651 | | sampleLengths | | 0 | 32 | | 1 | 44 | | 2 | 24 | | 3 | 26 | | 4 | 22 | | 5 | 14 | | 6 | 41 | | 7 | 43 | | 8 | 38 | | 9 | 31 | | 10 | 28 | | 11 | 5 | | 12 | 24 | | 13 | 19 | | 14 | 31 | | 15 | 18 | | 16 | 35 | | 17 | 50 | | 18 | 34 | | 19 | 11 | | 20 | 37 | | 21 | 18 | | 22 | 38 | | 23 | 27 | | 24 | 15 | | 25 | 13 | | 26 | 40 | | 27 | 19 | | 28 | 10 | | 29 | 45 | | 30 | 18 | | 31 | 50 | | 32 | 15 | | 33 | 15 | | 34 | 21 | | 35 | 37 | | 36 | 36 | | 37 | 17 | | 38 | 6 | | 39 | 62 | | 40 | 27 | | 41 | 4 | | 42 | 13 | | 43 | 41 | | 44 | 11 | | 45 | 47 | | 46 | 25 | | 47 | 35 | | 48 | 14 | | 49 | 17 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 264 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 235 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 329 | | ratio | 0.003 | | matches | | 0 | "Carter - 1998*." 1/1/1998, 12:00:00 AM |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1170 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.01623931623931624 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0017094017094017094 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 329 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 329 | | mean | 6.7 | | std | 6.52 | | cv | 0.974 | | sampleLengths | | 0 | 5 | | 1 | 6 | | 2 | 4 | | 3 | 17 | | 4 | 5 | | 5 | 7 | | 6 | 7 | | 7 | 13 | | 8 | 9 | | 9 | 3 | | 10 | 7 | | 11 | 6 | | 12 | 3 | | 13 | 8 | | 14 | 3 | | 15 | 6 | | 16 | 9 | | 17 | 8 | | 18 | 10 | | 19 | 7 | | 20 | 5 | | 21 | 7 | | 22 | 3 | | 23 | 4 | | 24 | 20 | | 25 | 9 | | 26 | 12 | | 27 | 2 | | 28 | 10 | | 29 | 5 | | 30 | 5 | | 31 | 4 | | 32 | 17 | | 33 | 2 | | 34 | 8 | | 35 | 5 | | 36 | 23 | | 37 | 12 | | 38 | 11 | | 39 | 8 | | 40 | 18 | | 41 | 3 | | 42 | 4 | | 43 | 3 | | 44 | 5 | | 45 | 15 | | 46 | 9 | | 47 | 5 | | 48 | 4 | | 49 | 4 |
| |
| 41.84% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 29 | | diversityRatio | 0.303951367781155 | | totalSentences | 329 | | uniqueOpeners | 100 | |
| 31.90% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 209 | | matches | | 0 | "Then it cooled." | | 1 | "Then at Lucien." |
| | ratio | 0.01 | |
| 74.55% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 76 | | totalSentences | 209 | | matches | | 0 | "She cracked the door." | | 1 | "His charcoal suit drank the" | | 2 | "He leaned on an ivory" | | 3 | "His eyes, one amber, one" | | 4 | "He didn't blink." | | 5 | "Her hand stayed on the" | | 6 | "Her knuckles whitened." | | 7 | "He invaded the threshold without" | | 8 | "She pointed a finger at" | | 9 | "He didn't move." | | 10 | "It hit his chest and" | | 11 | "His movement was fluid, too" | | 12 | "He picked up the towel." | | 13 | "He didn't wipe his shoes." | | 14 | "He dropped the towel." | | 15 | "She set it down hard." | | 16 | "He ran a gloved finger" | | 17 | "She poured whiskey." | | 18 | "Her wrist moved steady." | | 19 | "He didn't taste it." |
| | ratio | 0.364 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 195 | | totalSentences | 209 | | matches | | 0 | "Rory turned the third deadbolt." | | 1 | "The metal shrieked against the" | | 2 | "She cracked the door." | | 3 | "Lucien stood in the hallway." | | 4 | "His charcoal suit drank the" | | 5 | "Platinum hair slicked flat against" | | 6 | "He leaned on an ivory" | | 7 | "His eyes, one amber, one" | | 8 | "He didn't blink." | | 9 | "Her hand stayed on the" | | 10 | "Her knuckles whitened." | | 11 | "The crescent scar on her" | | 12 | "Lucien stepped forward." | | 13 | "He invaded the threshold without" | | 14 | "The scent of tobacco and" | | 15 | "Rory backed away" | | 16 | "She pointed a finger at" | | 17 | "Lucien looked down at his" | | 18 | "He didn't move." | | 19 | "Rory grabbed a towel from" |
| | ratio | 0.933 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 209 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 9 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 28 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "Rory laughed (laugh)" | | 1 | "Lucien agreed (agree)" |
| | dialogueSentences | 93 | | tagDensity | 0.054 | | leniency | 0.108 | | rawRatio | 0.4 | | effectiveRatio | 0.043 | |