| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 3 | | adverbTags | | 0 | "His cane tapped once [once]" | | 1 | "His fingers tightened around [around]" | | 2 | "His cane tapped again [again]" |
| | dialogueSentences | 72 | | tagDensity | 0.236 | | leniency | 0.472 | | rawRatio | 0.176 | | effectiveRatio | 0.083 | |
| 82.81% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1454 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slightly" | | 1 | "very" | | 2 | "suddenly" | | 3 | "sharply" |
| |
| 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) | |
| 34.66% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1454 | | totalAiIsms | 19 | | found | | 0 | | | 1 | | | 2 | | word | "down her spine" | | count | 2 |
| | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | |
| | highlights | | 0 | "porcelain" | | 1 | "silence" | | 2 | "down her spine" | | 3 | "flicked" | | 4 | "unreadable" | | 5 | "stomach" | | 6 | "enigma" | | 7 | "pulse" | | 8 | "raced" | | 9 | "weight" | | 10 | "unspoken" | | 11 | "absolutely" | | 12 | "racing" | | 13 | "chill" |
| |
| 0.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 4 | | maxInWindow | 4 | | found | | 0 | | label | "shiver down spine" | | count | 1 |
| | 1 | | label | "clenched jaw/fists" | | count | 1 |
| | 2 | | label | "weight of words/silence" | | count | 1 |
| | 3 | | label | "sent a shiver through" | | count | 1 |
|
| | highlights | | 0 | "A shiver ran down her spine" | | 1 | "clenched into fists" | | 2 | "the weight of his words" | | 3 | "sent a chill down" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 111 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 111 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 165 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 5 | | markdownWords | 18 | | totalWords | 1446 | | ratio | 0.012 | | matches | | 0 | "Some debts aren’t paid in coin, Aurora." | | 1 | "my" | | 2 | "Some debts aren’t paid in coin." | | 3 | "seduce" | | 4 | "keep you alive" |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 952 | | uniqueNames | 6 | | maxNameDensity | 1.58 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Eva | 4 | | London | 1 | | Rory | 15 | | Evan | 1 | | Soho | 1 | | Lucien | 13 |
| | persons | | 0 | "Eva" | | 1 | "Rory" | | 2 | "Evan" | | 3 | "Lucien" |
| | places | | | globalScore | 0.712 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | glossingSentenceCount | 1 | | matches | | 0 | "something like gunpowder, clung to him" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1446 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 165 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 79 | | mean | 18.3 | | std | 13.1 | | cv | 0.716 | | sampleLengths | | 0 | 56 | | 1 | 27 | | 2 | 3 | | 3 | 44 | | 4 | 47 | | 5 | 3 | | 6 | 1 | | 7 | 41 | | 8 | 5 | | 9 | 24 | | 10 | 4 | | 11 | 3 | | 12 | 5 | | 13 | 60 | | 14 | 13 | | 15 | 21 | | 16 | 20 | | 17 | 17 | | 18 | 21 | | 19 | 33 | | 20 | 17 | | 21 | 21 | | 22 | 23 | | 23 | 5 | | 24 | 15 | | 25 | 3 | | 26 | 12 | | 27 | 10 | | 28 | 9 | | 29 | 6 | | 30 | 12 | | 31 | 21 | | 32 | 21 | | 33 | 4 | | 34 | 16 | | 35 | 23 | | 36 | 24 | | 37 | 14 | | 38 | 20 | | 39 | 43 | | 40 | 12 | | 41 | 14 | | 42 | 23 | | 43 | 28 | | 44 | 1 | | 45 | 9 | | 46 | 26 | | 47 | 31 | | 48 | 7 | | 49 | 8 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 111 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 166 | | matches | | 0 | "was memorising" | | 1 | "was tasting" |
| |
| 56.28% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 165 | | ratio | 0.03 | | matches | | 0 | "Lucien stood in the threshold, his heterochromatic eyes—one amber, one black—flicking over her face like he was memorising every freckle." | | 1 | "But the way he said her name—full, like he was tasting every syllable—made her stomach twist." | | 2 | "Three months ago, she’d called in a favour—information on Evan, her ex." | | 3 | "But the way he’d said *keep you alive*—like it was a fact, not a negotiation—sent a chill down her spine." | | 4 | "There was a part of her—stupid, reckless, traitorous—that had missed him." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 962 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.02598752598752599 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.007276507276507277 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 165 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 165 | | mean | 8.76 | | std | 5.65 | | cv | 0.644 | | sampleLengths | | 0 | 14 | | 1 | 18 | | 2 | 8 | | 3 | 16 | | 4 | 12 | | 5 | 15 | | 6 | 2 | | 7 | 1 | | 8 | 5 | | 9 | 12 | | 10 | 14 | | 11 | 13 | | 12 | 12 | | 13 | 24 | | 14 | 11 | | 15 | 3 | | 16 | 1 | | 17 | 15 | | 18 | 26 | | 19 | 5 | | 20 | 14 | | 21 | 10 | | 22 | 4 | | 23 | 3 | | 24 | 5 | | 25 | 4 | | 26 | 23 | | 27 | 20 | | 28 | 13 | | 29 | 13 | | 30 | 4 | | 31 | 17 | | 32 | 13 | | 33 | 7 | | 34 | 6 | | 35 | 11 | | 36 | 13 | | 37 | 6 | | 38 | 2 | | 39 | 16 | | 40 | 9 | | 41 | 8 | | 42 | 11 | | 43 | 6 | | 44 | 10 | | 45 | 11 | | 46 | 2 | | 47 | 5 | | 48 | 16 | | 49 | 5 |
| |
| 54.75% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.3393939393939394 | | totalSentences | 165 | | uniqueOpeners | 56 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 99 | | matches | (empty) | | ratio | 0 | |
| 74.55% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 99 | | matches | | 0 | "She wiped her palms on" | | 1 | "She moved to the door," | | 2 | "Her breath hitched." | | 3 | "She unlatched the first deadbolt." | | 4 | "his voice came through the" | | 5 | "She unlatched the second." | | 6 | "She turned the handle, but" | | 7 | "His cane tapped once against" | | 8 | "She stepped aside, her jaw" | | 9 | "He turned to face her," | | 10 | "His lips quirked, just a" | | 11 | "He sighed, the sound almost" | | 12 | "His fingers tightened around the" | | 13 | "She studied him." | | 14 | "His voice dropped, the word" | | 15 | "His cane tapped again, a" | | 16 | "He took a step closer," | | 17 | "she said, but her voice" | | 18 | "His amber eye gleamed" | | 19 | "He turned back to her," |
| | ratio | 0.364 | |
| 25.66% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 86 | | totalSentences | 99 | | matches | | 0 | "The door rattled under the" | | 1 | "Rory froze mid-reach for the" | | 2 | "Ptolemy hissed from the armchair," | | 3 | "The cat’s green eyes locked" | | 4 | "Rory set the teapot down." | | 5 | "The porcelain clinked against the" | | 6 | "She wiped her palms on" | | 7 | "The crescent moon of old" | | 8 | "She moved to the door," | | 9 | "The peephole offered a distorted" | | 10 | "The ivory handle of his" | | 11 | "Her breath hitched." | | 12 | "The last time she’d seen" | | 13 | "*Some debts aren’t paid in" | | 14 | "She unlatched the first deadbolt." | | 15 | "his voice came through the" | | 16 | "She unlatched the second." | | 17 | "The third deadbolt clicked." | | 18 | "She turned the handle, but" | | 19 | "Lucien stood in the threshold," |
| | ratio | 0.869 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 99 | | matches | | 0 | "To throw the paper in" | | 1 | "Because damn him, he was" |
| | ratio | 0.02 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 5 | | matches | | 0 | "He took, his voice dropping to a murmur" | | 1 | "she said, but her voice lacked conviction" | | 2 | "He closed, his voice a low growl" | | 3 | "he said, his voice dangerously soft," | | 4 | "He held, his hand steady" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 2 | | fancyTags | | 0 | "Rory snapped (snap)" | | 1 | "she snapped (snap)" |
| | dialogueSentences | 72 | | tagDensity | 0.083 | | leniency | 0.167 | | rawRatio | 0.333 | | effectiveRatio | 0.056 | |