| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 159 | | tagDensity | 0.094 | | leniency | 0.189 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2247 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 95.55% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2247 | | 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 | 155 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 155 | | filterMatches | (empty) | | hedgeMatches | | 0 | "started to" | | 1 | "tended to" |
| |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 298 | | 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 | 2247 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 39 | | unquotedAttributions | 0 | | matches | (empty) | |
| 3.73% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 94 | | wordCount | 1299 | | uniqueNames | 11 | | maxNameDensity | 2.93 | | worstName | "Rory" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Rory" | | discoveredNames | | Ptolemy | 9 | | Lucien | 31 | | Whitechapel | 1 | | Ashdown | 1 | | Holdings | 1 | | Rory | 38 | | Eva | 7 | | Roman | 1 | | Evan | 3 | | You | 1 | | Yu-Fei | 1 |
| | persons | | 0 | "Ptolemy" | | 1 | "Lucien" | | 2 | "Rory" | | 3 | "Eva" | | 4 | "Roman" | | 5 | "Evan" | | 6 | "You" |
| | places | | | globalScore | 0.037 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 103 | | glossingSentenceCount | 1 | | matches | | 0 | "appeared beneath the photograph" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 2247 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 298 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 217 | | mean | 10.35 | | std | 10.5 | | cv | 1.014 | | sampleLengths | | 0 | 10 | | 1 | 34 | | 2 | 4 | | 3 | 9 | | 4 | 15 | | 5 | 5 | | 6 | 4 | | 7 | 19 | | 8 | 2 | | 9 | 8 | | 10 | 7 | | 11 | 5 | | 12 | 5 | | 13 | 14 | | 14 | 2 | | 15 | 19 | | 16 | 3 | | 17 | 8 | | 18 | 41 | | 19 | 10 | | 20 | 38 | | 21 | 45 | | 22 | 7 | | 23 | 2 | | 24 | 1 | | 25 | 4 | | 26 | 3 | | 27 | 11 | | 28 | 9 | | 29 | 15 | | 30 | 4 | | 31 | 4 | | 32 | 1 | | 33 | 5 | | 34 | 6 | | 35 | 21 | | 36 | 6 | | 37 | 3 | | 38 | 4 | | 39 | 8 | | 40 | 5 | | 41 | 4 | | 42 | 6 | | 43 | 8 | | 44 | 5 | | 45 | 4 | | 46 | 5 | | 47 | 9 | | 48 | 3 | | 49 | 52 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 155 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 239 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 2 | | flaggedSentences | 2 | | totalSentences | 298 | | ratio | 0.007 | | matches | | 0 | "He noticed; his hand paused." | | 1 | "She could not read the writing on it; the letters ran together." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1301 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.022290545734050732 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0015372790161414297 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 298 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 298 | | mean | 7.54 | | std | 5.09 | | cv | 0.676 | | sampleLengths | | 0 | 10 | | 1 | 11 | | 2 | 8 | | 3 | 15 | | 4 | 4 | | 5 | 9 | | 6 | 10 | | 7 | 5 | | 8 | 5 | | 9 | 4 | | 10 | 6 | | 11 | 13 | | 12 | 2 | | 13 | 3 | | 14 | 5 | | 15 | 7 | | 16 | 5 | | 17 | 5 | | 18 | 7 | | 19 | 7 | | 20 | 2 | | 21 | 6 | | 22 | 8 | | 23 | 5 | | 24 | 3 | | 25 | 8 | | 26 | 11 | | 27 | 6 | | 28 | 24 | | 29 | 10 | | 30 | 7 | | 31 | 9 | | 32 | 22 | | 33 | 8 | | 34 | 17 | | 35 | 20 | | 36 | 7 | | 37 | 2 | | 38 | 1 | | 39 | 4 | | 40 | 3 | | 41 | 6 | | 42 | 5 | | 43 | 9 | | 44 | 15 | | 45 | 4 | | 46 | 4 | | 47 | 1 | | 48 | 5 | | 49 | 6 |
| |
| 44.97% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.2483221476510067 | | totalSentences | 298 | | uniqueOpeners | 74 | |
| 23.64% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 141 | | matches | | 0 | "Then Evan’s solicitor had called," |
| | ratio | 0.007 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 41 | | totalSentences | 141 | | matches | | 0 | "His platinum hair, slicked back" | | 1 | "She started to close the" | | 2 | "He withdrew it." | | 3 | "He did not step away." | | 4 | "He noticed; his hand paused." | | 5 | "He unfolded a sheet and" | | 6 | "It named her as the" | | 7 | "It gave permission for the" | | 8 | "His other eye remained black." | | 9 | "She glanced at him." | | 10 | "She looked at the forged" | | 11 | "Her name had no business" | | 12 | "she went on" | | 13 | "He looked down at the" | | 14 | "His hand tightened on the" | | 15 | "He lowered it." | | 16 | "His mouth shifted." | | 17 | "She found a blue folder" | | 18 | "He went to the shelf." | | 19 | "She put the folder down" |
| | ratio | 0.291 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 131 | | totalSentences | 141 | | matches | | 0 | "Rory opened the door with" | | 1 | "Lucien stood on the landing," | | 2 | "Rain darkened the shoulders of" | | 3 | "His platinum hair, slicked back" | | 4 | "Neither of them spoke." | | 5 | "Ptolemy stepped over the threshold" | | 6 | "Rory bent to scoop up" | | 7 | "She started to close the" | | 8 | "Lucien put his cane across" | | 9 | "He withdrew it." | | 10 | "He did not step away." | | 11 | "Rory held the cat against" | | 12 | "Ptolemy objected with a low," | | 13 | "Lucien reached into his inside" | | 14 | "Rory’s grip tightened before she" | | 15 | "He noticed; his hand paused." | | 16 | "He unfolded a sheet and" | | 17 | "The heading read CONSENT TO" | | 18 | "Rory shifted Ptolemy into one" | | 19 | "The signature looked convincing at" |
| | ratio | 0.929 | |
| 70.92% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 141 | | matches | | 0 | "Whoever had copied it had" | | 1 | "Now she picked up a" |
| | ratio | 0.014 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 57 | | technicalSentenceCount | 2 | | matches | | 0 | "Beneath it sat a block of dense text and a signature that resembled hers, right down to the long tail on the final r." | | 1 | "For four months, Lucien had occupied a particular part of her life: late dinners after her delivery shifts, conversations that began with work and stretched acr…" |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 159 | | tagDensity | 0.088 | | leniency | 0.176 | | rawRatio | 0 | | effectiveRatio | 0 | |