| 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 | 2832 | | 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) | |
| 96.47% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2832 | | totalAiIsms | 2 | | 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 | 84 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 84 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 198 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 71 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2832 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 32 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 63 | | wordCount | 952 | | uniqueNames | 12 | | maxNameDensity | 2.42 | | worstName | "Eva" | | maxWindowNameDensity | 5 | | worstWindowName | "Eva" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Tuesday | 1 | | Carter | 1 | | Golden | 1 | | Empress | 1 | | Fitzrovia | 1 | | Blackwood | 1 | | Rory | 20 | | Eva | 23 | | Silas | 11 | | Evan | 1 |
| | persons | | 0 | "Raven" | | 1 | "Carter" | | 2 | "Empress" | | 3 | "Blackwood" | | 4 | "Rory" | | 5 | "Eva" | | 6 | "Silas" | | 7 | "Evan" |
| | places | | | globalScore | 0.292 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | 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 | 2832 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 198 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 152 | | mean | 18.63 | | std | 16.31 | | cv | 0.876 | | sampleLengths | | 0 | 50 | | 1 | 71 | | 2 | 54 | | 3 | 8 | | 4 | 12 | | 5 | 10 | | 6 | 21 | | 7 | 13 | | 8 | 10 | | 9 | 50 | | 10 | 46 | | 11 | 12 | | 12 | 1 | | 13 | 13 | | 14 | 18 | | 15 | 24 | | 16 | 8 | | 17 | 9 | | 18 | 5 | | 19 | 5 | | 20 | 14 | | 21 | 4 | | 22 | 31 | | 23 | 71 | | 24 | 5 | | 25 | 27 | | 26 | 6 | | 27 | 3 | | 28 | 2 | | 29 | 10 | | 30 | 22 | | 31 | 12 | | 32 | 6 | | 33 | 3 | | 34 | 15 | | 35 | 22 | | 36 | 14 | | 37 | 6 | | 38 | 14 | | 39 | 16 | | 40 | 5 | | 41 | 17 | | 42 | 17 | | 43 | 15 | | 44 | 35 | | 45 | 1 | | 46 | 11 | | 47 | 36 | | 48 | 5 | | 49 | 48 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 84 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 147 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 198 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 957 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 14 | | adverbRatio | 0.014629049111807733 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 198 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 198 | | mean | 14.3 | | std | 12.74 | | cv | 0.891 | | sampleLengths | | 0 | 23 | | 1 | 8 | | 2 | 19 | | 3 | 24 | | 4 | 11 | | 5 | 36 | | 6 | 20 | | 7 | 15 | | 8 | 19 | | 9 | 8 | | 10 | 5 | | 11 | 7 | | 12 | 10 | | 13 | 21 | | 14 | 13 | | 15 | 10 | | 16 | 3 | | 17 | 9 | | 18 | 11 | | 19 | 27 | | 20 | 6 | | 21 | 10 | | 22 | 16 | | 23 | 14 | | 24 | 6 | | 25 | 6 | | 26 | 1 | | 27 | 7 | | 28 | 6 | | 29 | 18 | | 30 | 16 | | 31 | 8 | | 32 | 8 | | 33 | 9 | | 34 | 5 | | 35 | 5 | | 36 | 14 | | 37 | 4 | | 38 | 31 | | 39 | 13 | | 40 | 15 | | 41 | 25 | | 42 | 9 | | 43 | 9 | | 44 | 5 | | 45 | 27 | | 46 | 6 | | 47 | 3 | | 48 | 2 | | 49 | 10 |
| |
| 46.30% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.30808080808080807 | | totalSentences | 198 | | uniqueOpeners | 61 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 84 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 84 | | matches | | 0 | "Her last run for the" | | 1 | "His grey-streaked auburn beard had" | | 2 | "He favoured his right leg" | | 3 | "She had a canvas tote" | | 4 | "Her hair sat at her" | | 5 | "She wore no eyeliner, no" | | 6 | "Her mouth opened, shut, opened" | | 7 | "She put her tote on" | | 8 | "Her coat had a button" | | 9 | "She turned her phone face" | | 10 | "Her nails were cut short." | | 11 | "It turned and turned and" | | 12 | "He looked at Rory's untouched" | | 13 | "Her hand shook, and she" | | 14 | "She set it down again," | | 15 | "She put the glass down" |
| | ratio | 0.19 | |
| 7.62% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 76 | | totalSentences | 84 | | matches | | 0 | "Aurora Carter sat at the" | | 1 | "Water dripped from the hem" | | 2 | "Her last run for the" | | 3 | "Silas Blackwood set a mug" | | 4 | "His grey-streaked auburn beard had" | | 5 | "He favoured his right leg" | | 6 | "Rory turned the bag over." | | 7 | "A dark patch spread across" | | 8 | "The door opened." | | 9 | "A woman stepped in and" | | 10 | "She had a canvas tote" | | 11 | "Her hair sat at her" | | 12 | "Brown, with no trace of" | | 13 | "She wore no eyeliner, no" | | 14 | "A thin scar crossed her" | | 15 | "Rory stood up from the" | | 16 | "The legs scraped across the" | | 17 | "Eva gripped the strap of" | | 18 | "Her mouth opened, shut, opened" | | 19 | "Silas took a glass from" |
| | ratio | 0.905 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 84 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 1 | | matches | | 0 | "Eva took in the maps, the photographs, the green light at the window, Silas with his hand resting near Rory's elbow in a way that spoke of years of such evening…" |
| |
| 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 | |