| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 1 | | adverbTags | | 0 | "things she'd rather [rather]" |
| | dialogueSentences | 54 | | tagDensity | 0.315 | | leniency | 0.63 | | rawRatio | 0.059 | | effectiveRatio | 0.037 | |
| 86.58% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1118 | | totalAiIsmAdverbs | 3 | | 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) | |
| 77.64% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1118 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "silk" | | 1 | "flickered" | | 2 | "silence" | | 3 | "comfortable" | | 4 | "warmth" |
| |
| 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 | 41 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 41 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 77 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 53 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1118 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 30.28% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 710 | | uniqueNames | 7 | | maxNameDensity | 2.39 | | worstName | "Eva" | | maxWindowNameDensity | 4 | | worstWindowName | "Eva" | | discoveredNames | | Rory | 13 | | Nest | 2 | | Welsh | 3 | | Eva | 17 | | Silas | 4 | | Evan | 1 | | Cardiff | 1 |
| | persons | | 0 | "Rory" | | 1 | "Eva" | | 2 | "Silas" | | 3 | "Evan" |
| | places | | | globalScore | 0.303 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 30 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.894 | | wordCount | 1118 | | matches | | 0 | "not unkind, but pointed enough to land" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 77 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 23.79 | | std | 21.82 | | cv | 0.917 | | sampleLengths | | 0 | 17 | | 1 | 50 | | 2 | 4 | | 3 | 81 | | 4 | 1 | | 5 | 23 | | 6 | 6 | | 7 | 38 | | 8 | 8 | | 9 | 6 | | 10 | 19 | | 11 | 8 | | 12 | 35 | | 13 | 2 | | 14 | 38 | | 15 | 5 | | 16 | 30 | | 17 | 5 | | 18 | 28 | | 19 | 49 | | 20 | 11 | | 21 | 36 | | 22 | 2 | | 23 | 45 | | 24 | 2 | | 25 | 5 | | 26 | 33 | | 27 | 10 | | 28 | 4 | | 29 | 9 | | 30 | 61 | | 31 | 3 | | 32 | 18 | | 33 | 78 | | 34 | 16 | | 35 | 4 | | 36 | 9 | | 37 | 9 | | 38 | 19 | | 39 | 3 | | 40 | 49 | | 41 | 52 | | 42 | 5 | | 43 | 44 | | 44 | 72 | | 45 | 41 | | 46 | 25 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 41 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 123 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 77 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 710 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.03380281690140845 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.007042253521126761 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 77 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 77 | | mean | 14.52 | | std | 12.74 | | cv | 0.878 | | sampleLengths | | 0 | 17 | | 1 | 3 | | 2 | 22 | | 3 | 25 | | 4 | 4 | | 5 | 4 | | 6 | 5 | | 7 | 43 | | 8 | 29 | | 9 | 1 | | 10 | 17 | | 11 | 6 | | 12 | 6 | | 13 | 31 | | 14 | 7 | | 15 | 5 | | 16 | 3 | | 17 | 6 | | 18 | 16 | | 19 | 3 | | 20 | 8 | | 21 | 14 | | 22 | 21 | | 23 | 2 | | 24 | 24 | | 25 | 11 | | 26 | 3 | | 27 | 5 | | 28 | 19 | | 29 | 11 | | 30 | 5 | | 31 | 28 | | 32 | 4 | | 33 | 45 | | 34 | 4 | | 35 | 7 | | 36 | 17 | | 37 | 19 | | 38 | 2 | | 39 | 18 | | 40 | 27 | | 41 | 2 | | 42 | 5 | | 43 | 6 | | 44 | 27 | | 45 | 7 | | 46 | 3 | | 47 | 4 | | 48 | 9 | | 49 | 14 |
| |
| 72.73% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.5064935064935064 | | totalSentences | 77 | | uniqueOpeners | 39 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 38 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 7 | | totalSentences | 38 | | matches | | 0 | "It didn't break." | | 1 | "She bent to retrieve it," | | 2 | "She thought of the water" | | 3 | "She thought about how that" | | 4 | "She thought about the flat" | | 5 | "She wondered if Eva was" | | 6 | "His eyes moved to Eva," |
| | ratio | 0.184 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 35 | | totalSentences | 38 | | matches | | 0 | "The glass slipped from Rory's" | | 1 | "It didn't break." | | 2 | "Silas had fitted the Nest" | | 3 | "She bent to retrieve it," | | 4 | "The voice hadn't changed." | | 5 | "That was the strange part." | | 6 | "Everything else had, the cropped" | | 7 | "Eva slid onto the stool" | | 8 | "Eva flagged the bartender, some" | | 9 | "Rory watched her do it." | | 10 | "Eva's eyes swept the bar," | | 11 | "A pause, not unkind, but" | | 12 | "Eva's gaze dropped to the" | | 13 | "Something flickered behind her eyes," | | 14 | "Eva turned the stem of" | | 15 | "Rory remembered that too." | | 16 | "Eva's laugh had an edge" | | 17 | "Eva said it like an" | | 18 | "The silence that followed wasn't" | | 19 | "Rory turned her own glass," |
| | ratio | 0.921 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 38 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 15 | | technicalSentenceCount | 4 | | matches | | 0 | "Rory turned her own glass, mirroring the gesture without meaning to, and behind the bar the boy pretended very hard to polish something that didn't need polishi…" | | 1 | "She thought of the water bottle vodka, the Welsh classroom, a version of Eva who used to text at two in the morning about nothing important, just to say she was…" | | 2 | "The bartender set down a fresh napkin under Eva's glass, unprompted, the kind of gesture that gave him something to do with his hands while the air between the …" | | 3 | "The door to the Nest swung open, cold air cutting through the bar's warmth, and Silas stepped in shaking rain from his coat, glancing over toward Rory's stool w…" |
| |
| 95.59% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 1 | | matches | | 0 | "Eva turned, not drinking, just turning it, round and round" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 54 | | tagDensity | 0.093 | | leniency | 0.185 | | rawRatio | 0 | | effectiveRatio | 0 | |