| 49.06% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 4 | | adverbTags | | 0 | "he said finally [finally]" | | 1 | "she asked quietly [quietly]" | | 2 | "He turned back [back]" | | 3 | "he said roughly [roughly]" |
| | dialogueSentences | 53 | | tagDensity | 0.415 | | leniency | 0.83 | | rawRatio | 0.182 | | effectiveRatio | 0.151 | |
| 81.03% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1318 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "loosely" | | 1 | "softly" | | 2 | "slowly" | | 3 | "very" | | 4 | "gently" |
| |
| 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) | |
| 73.44% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1318 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "measured" | | 1 | "gleaming" | | 2 | "could feel" | | 3 | "pulse" | | 4 | "tension" | | 5 | "weight" | | 6 | "flickered" |
| |
| 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 | 64 | | matches | (empty) | |
| 98.21% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 64 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 95 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1326 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 93.32% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 794 | | uniqueNames | 11 | | maxNameDensity | 1.13 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Moreau | 2 | | Rain | 1 | | Lucien | 7 | | Eva | 1 | | Soho | 1 | | Rory | 9 | | Started | 1 | | Looked | 1 | | London | 1 | | Brick | 1 | | Lane | 1 |
| | persons | | 0 | "Moreau" | | 1 | "Rain" | | 2 | "Lucien" | | 3 | "Eva" | | 4 | "Rory" |
| | places | | 0 | "Soho" | | 1 | "London" | | 2 | "Brick" | | 3 | "Lane" |
| | globalScore | 0.933 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 44 | | glossingSentenceCount | 3 | | matches | | 0 | "not quite a smile" | | 1 | "sounded like a man feeling his way across" | | 2 | "looked like it cost him blood" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1326 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 95 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 26.52 | | std | 23.5 | | cv | 0.886 | | sampleLengths | | 0 | 44 | | 1 | 47 | | 2 | 56 | | 3 | 14 | | 4 | 34 | | 5 | 9 | | 6 | 8 | | 7 | 43 | | 8 | 1 | | 9 | 32 | | 10 | 8 | | 11 | 33 | | 12 | 14 | | 13 | 59 | | 14 | 6 | | 15 | 5 | | 16 | 5 | | 17 | 71 | | 18 | 5 | | 19 | 47 | | 20 | 4 | | 21 | 34 | | 22 | 10 | | 23 | 53 | | 24 | 9 | | 25 | 32 | | 26 | 4 | | 27 | 69 | | 28 | 22 | | 29 | 11 | | 30 | 8 | | 31 | 35 | | 32 | 19 | | 33 | 26 | | 34 | 10 | | 35 | 4 | | 36 | 4 | | 37 | 90 | | 38 | 9 | | 39 | 5 | | 40 | 79 | | 41 | 1 | | 42 | 56 | | 43 | 56 | | 44 | 8 | | 45 | 11 | | 46 | 62 | | 47 | 15 | | 48 | 10 | | 49 | 29 |
| |
| 99.78% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 64 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 133 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 2 | | flaggedSentences | 10 | | totalSentences | 95 | | ratio | 0.105 | | matches | | 0 | "The knock came at half past eleven — three measured raps, unhurried, the kind of knock that assumed it would be answered." | | 1 | "Ptolemy uncoiled from the stack of journals by the window and slipped under the sofa, which told her nothing; the tabby hid from everyone." | | 2 | "\"So I am told. Frequently. Sometimes by people I have not yet met.\" His eyes — that impossible pairing, one amber, one black as spilled ink — moved over her face with an attention she felt in her sternum." | | 3 | "\"Eva has tried to kill me for less.\" The ghost of something crossed his mouth — not quite a smile." | | 4 | "He crossed the threshold and the flat seemed to shrink around him, the way it shrank around everything — the towers of books, the scrolls rubber-banded on the kitchen table, the notes pinned to the wall in Eva's frantic shorthand." | | 5 | "\"The kind preceded by payment and followed by surveillance.\" The amber eye caught the lamplight; the black one swallowed it." | | 6 | "\"You are not careful, Aurora. You are brilliant and reckless and you assume the world will reorganize itself around your good intentions.\" He took a step closer, and the smell of him — rain, wool, something faintly like cedar — reached her with the force of a memory." | | 7 | "Rory looked at him — at the rain in his eyelashes, at the careful ruin of his composure, at the man who had crossed London at midnight in a storm because naming her was finally cheaper than losing her." | | 8 | "Something flickered in his face — confusion, then dawning, terrified hope." | | 9 | "\"It's soaked through. And then you're going to tell me everything about the watcher, and everything about the channel, and then—\" her hand brushed his as she drew back, and she felt him shiver, \"—we're going to talk about what you call me. Starting now.\"" |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 747 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 35 | | adverbRatio | 0.04685408299866131 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.014725568942436412 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 95 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 95 | | mean | 13.96 | | std | 11.61 | | cv | 0.832 | | sampleLengths | | 0 | 22 | | 1 | 8 | | 2 | 14 | | 3 | 24 | | 4 | 23 | | 5 | 24 | | 6 | 12 | | 7 | 20 | | 8 | 5 | | 9 | 3 | | 10 | 6 | | 11 | 13 | | 12 | 21 | | 13 | 9 | | 14 | 8 | | 15 | 39 | | 16 | 4 | | 17 | 1 | | 18 | 5 | | 19 | 8 | | 20 | 19 | | 21 | 8 | | 22 | 20 | | 23 | 7 | | 24 | 6 | | 25 | 9 | | 26 | 3 | | 27 | 2 | | 28 | 40 | | 29 | 19 | | 30 | 6 | | 31 | 5 | | 32 | 5 | | 33 | 8 | | 34 | 15 | | 35 | 48 | | 36 | 5 | | 37 | 28 | | 38 | 19 | | 39 | 4 | | 40 | 20 | | 41 | 14 | | 42 | 7 | | 43 | 3 | | 44 | 11 | | 45 | 11 | | 46 | 23 | | 47 | 8 | | 48 | 9 | | 49 | 16 |
| |
| 67.37% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.4421052631578947 | | totalSentences | 95 | | uniqueOpeners | 42 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 59 | | matches | | 0 | "Then the second." | | 1 | "Somewhere below, the curry house's" |
| | ratio | 0.034 | |
| 36.95% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 59 | | matches | | 0 | "She knew it the way" | | 1 | "He held his ivory-handled cane" | | 2 | "He was looking directly at" | | 3 | "She opened the first deadbolt." | | 4 | "Her hand paused on the" | | 5 | "His voice came through the" | | 6 | "She turned the third bolt" | | 7 | "His eyes — that impossible" | | 8 | "He didn't move" | | 9 | "She stepped back." | | 10 | "He crossed the threshold and" | | 11 | "He took it in with" | | 12 | "He set the cane's tip" | | 13 | "He repeated it slowly, and" | | 14 | "He took a step closer," | | 15 | "he said finally" | | 16 | "It wasn't a question." | | 17 | "It was a man examining" | | 18 | "He broke off" | | 19 | "His hand flexed on the" |
| | ratio | 0.458 | |
| 27.80% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 59 | | matches | | 0 | "The knock came at half" | | 1 | "Rory knew it before she" | | 2 | "She knew it the way" | | 3 | "Ptolemy uncoiled from the stack" | | 4 | "Rory looked through the peephole" | | 5 | "Lucien Moreau stood in the" | | 6 | "He held his ivory-handled cane" | | 7 | "He was looking directly at" | | 8 | "She opened the first deadbolt." | | 9 | "Her hand paused on the" | | 10 | "His voice came through the" | | 11 | "She turned the third bolt" | | 12 | "His eyes — that impossible" | | 13 | "He didn't move" | | 14 | "Rain slid down the collar" | | 15 | "The ghost of something crossed" | | 16 | "Lucien's smiles were rationed like" | | 17 | "Rory hated herself for the" | | 18 | "She stepped back." | | 19 | "He crossed the threshold and" |
| | ratio | 0.864 | |
| 84.75% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 59 | | matches | | 0 | "As though she were the" |
| | ratio | 0.017 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 1 | | matches | | 0 | "Rory looked at him — at the rain in his eyelashes, at the careful ruin of his composure, at the man who had crossed London at midnight in a storm because naming…" |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 53 | | tagDensity | 0.151 | | leniency | 0.302 | | rawRatio | 0.125 | | effectiveRatio | 0.038 | |