| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 67 | | tagDensity | 0.269 | | leniency | 0.537 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1403 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 89.31% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1403 | | totalAiIsms | 3 | | found | | | highlights | | |
| 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 | 69 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 69 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 116 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1404 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 46 | | wordCount | 894 | | uniqueNames | 8 | | maxNameDensity | 2.01 | | worstName | "Silas" | | maxWindowNameDensity | 4 | | worstWindowName | "Merrick" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Fitch | 2 | | Rory | 7 | | Silas | 18 | | Merrick | 15 | | Czech | 1 | | Set | 1 |
| | persons | | 0 | "Raven" | | 1 | "Fitch" | | 2 | "Rory" | | 3 | "Silas" | | 4 | "Merrick" |
| | places | (empty) | | globalScore | 0.493 | | windowScore | 0.333 | |
| 36.36% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 44 | | glossingSentenceCount | 2 | | matches | | 0 | "as though checking them against something he'd memorised" | | 1 | "something like embarrassment" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1404 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 116 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 73 | | mean | 19.23 | | std | 17.29 | | cv | 0.899 | | sampleLengths | | 0 | 85 | | 1 | 44 | | 2 | 2 | | 3 | 9 | | 4 | 34 | | 5 | 6 | | 6 | 69 | | 7 | 26 | | 8 | 4 | | 9 | 3 | | 10 | 36 | | 11 | 1 | | 12 | 33 | | 13 | 12 | | 14 | 8 | | 15 | 26 | | 16 | 13 | | 17 | 34 | | 18 | 2 | | 19 | 10 | | 20 | 42 | | 21 | 16 | | 22 | 32 | | 23 | 11 | | 24 | 31 | | 25 | 2 | | 26 | 3 | | 27 | 34 | | 28 | 8 | | 29 | 2 | | 30 | 4 | | 31 | 6 | | 32 | 27 | | 33 | 11 | | 34 | 22 | | 35 | 10 | | 36 | 5 | | 37 | 4 | | 38 | 15 | | 39 | 36 | | 40 | 37 | | 41 | 10 | | 42 | 26 | | 43 | 8 | | 44 | 1 | | 45 | 24 | | 46 | 1 | | 47 | 53 | | 48 | 6 | | 49 | 27 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 69 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 149 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 116 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 798 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.023809523809523808 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0012531328320802004 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 116 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 116 | | mean | 12.1 | | std | 10.42 | | cv | 0.861 | | sampleLengths | | 0 | 32 | | 1 | 18 | | 2 | 35 | | 3 | 12 | | 4 | 32 | | 5 | 2 | | 6 | 5 | | 7 | 4 | | 8 | 25 | | 9 | 9 | | 10 | 6 | | 11 | 20 | | 12 | 19 | | 13 | 30 | | 14 | 26 | | 15 | 4 | | 16 | 3 | | 17 | 15 | | 18 | 21 | | 19 | 1 | | 20 | 30 | | 21 | 3 | | 22 | 8 | | 23 | 4 | | 24 | 8 | | 25 | 9 | | 26 | 17 | | 27 | 10 | | 28 | 3 | | 29 | 17 | | 30 | 17 | | 31 | 2 | | 32 | 5 | | 33 | 5 | | 34 | 28 | | 35 | 14 | | 36 | 7 | | 37 | 9 | | 38 | 18 | | 39 | 14 | | 40 | 11 | | 41 | 25 | | 42 | 6 | | 43 | 2 | | 44 | 3 | | 45 | 6 | | 46 | 28 | | 47 | 8 | | 48 | 2 | | 49 | 4 |
| |
| 55.17% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3620689655172414 | | totalSentences | 116 | | uniqueOpeners | 42 | |
| 53.76% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 62 | | matches | | | ratio | 0.016 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 62 | | matches | | 0 | "His ring stopped tapping." | | 1 | "He faced the door at" | | 2 | "He was grey in the" | | 3 | "He glanced at Silas, and" | | 4 | "His eyes went to the" | | 5 | "She rubbed the crescent scar" | | 6 | "She fetched a squat bottle" | | 7 | "It had a weight to" | | 8 | "He worked the cork with" | | 9 | "He turned his water glass" | | 10 | "His voice came apart on" | | 11 | "He steadied it." | | 12 | "He looked at the wall" | | 13 | "He almost smiled" | | 14 | "He looked at the untouched" | | 15 | "He put out his hand." | | 16 | "She drew her hand back." |
| | ratio | 0.274 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 62 | | matches | | 0 | "The rain had leaned against" | | 1 | "Rory polished glasses behind the" | | 2 | "Silas sat at the far" | | 3 | "The door opened without the" | | 4 | "A man stood in the" | | 5 | "Silas didn't turn right away." | | 6 | "His ring stopped tapping." | | 7 | "He faced the door at" | | 8 | "That was true in a" | | 9 | "The man hung his coat" | | 10 | "He was grey in the" | | 11 | "Merrick crossed the floor and" | | 12 | "Merrick looked at the shelf," | | 13 | "He glanced at Silas, and" | | 14 | "Rory set a beermat in" | | 15 | "Silas told her" | | 16 | "Merrick folded his hands" | | 17 | "Silas studied him the way" | | 18 | "His eyes went to the" | | 19 | "Rory brought the water and" |
| | ratio | 0.952 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 93.60% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 2 | | matches | | 0 | "The rain had leaned against The Raven's Nest since noon, and by nine it had emptied the bar of everyone but a regular called Fitch, who slept upright with a hal…" | | 1 | "A man stood in the doorway longer than a man should, water sheeting off his coat, and looked at the maps on the walls as though checking them against something …" |
| |
| 97.22% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 1 | | matches | | 0 | "Merrick looked, the bottles, the mirror" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 67 | | tagDensity | 0.075 | | leniency | 0.149 | | rawRatio | 0 | | effectiveRatio | 0 | |