| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 92.40% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1315 | | totalAiIsmAdverbs | 2 | | 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) | |
| 4.94% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1315 | | totalAiIsms | 25 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "silence" | | 1 | "echo" | | 2 | "warmth" | | 3 | "familiar" | | 4 | "rhythmic" | | 5 | "sanctuary" | | 6 | "calculating" | | 7 | "sense of" | | 8 | "tension" | | 9 | "charm" | | 10 | "unreadable" | | 11 | "weight" | | 12 | "traced" | | 13 | "chilling" | | 14 | "palpable" | | 15 | "flicker" | | 16 | "footsteps" | | 17 | "echoing" | | 18 | "chill" | | 19 | "sturdy" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 109 | | matches | | |
| 90.43% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 1 | | narrationSentences | 109 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 109 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1310 | | ratio | 0 | | matches | (empty) | |
| 9.62% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 6 | | matches | | 0 | "Rory, he said." | | 1 | "Evan, she replied, her own voice steady, though her heart hammered against her ribs like a trapped bird." | | 2 | "You loved the idea of me, Evan, she said, her voice chilling." | | 3 | "I know, he whispered." | | 4 | "He was holding a grudge against himself, Silas murmured, his voice as smooth as the polished mahogany." | | 5 | "None of them ever are, he said, turning back to his work." |
| |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 1310 | | uniqueNames | 10 | | maxNameDensity | 0.76 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Aurora | 1 | | Soho | 1 | | Rory | 10 | | Cardiff | 4 | | Evan | 7 | | Silas | 7 | | London | 1 | | You | 6 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Rory" | | 3 | "Evan" | | 4 | "Silas" | | 5 | "You" |
| | places | | 0 | "Aurora" | | 1 | "Soho" | | 2 | "Cardiff" | | 3 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 83 | | glossingSentenceCount | 1 | | matches | | 0 | "vibration that seemed to settle deep in Aurora’s teeth" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.763 | | wordCount | 1310 | | matches | | 0 | "not as a threat, but as a map for both of them" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 109 | | matches | | 0 | "see that you" | | 1 | "saw that he" |
| |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 38.53 | | std | 28.53 | | cv | 0.74 | | sampleLengths | | 0 | 95 | | 1 | 87 | | 2 | 98 | | 3 | 1 | | 4 | 70 | | 5 | 46 | | 6 | 60 | | 7 | 3 | | 8 | 33 | | 9 | 24 | | 10 | 33 | | 11 | 84 | | 12 | 14 | | 13 | 26 | | 14 | 18 | | 15 | 42 | | 16 | 39 | | 17 | 31 | | 18 | 64 | | 19 | 73 | | 20 | 21 | | 21 | 27 | | 22 | 7 | | 23 | 4 | | 24 | 22 | | 25 | 15 | | 26 | 17 | | 27 | 56 | | 28 | 19 | | 29 | 23 | | 30 | 29 | | 31 | 7 | | 32 | 29 | | 33 | 93 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 109 | | matches | (empty) | |
| 29.06% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 234 | | matches | | 0 | "was nearing" | | 1 | "was watching" | | 2 | "was sensing" | | 3 | "wasn't looking" | | 4 | "was holding" | | 5 | "was finally becoming" |
| |
| 11.80% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 2 | | flaggedSentences | 5 | | totalSentences | 109 | | ratio | 0.046 | | matches | | 0 | "She didn’t want to go upstairs to her flat just yet; the silence of those rooms had a way of magnifying the echo of bad decisions." | | 1 | "He moved with a hesitant, jerky gait, and for a heartbeat, Rory thought he was someone she knew—a ghost from the Cardiff days." | | 2 | "He looked older, the sharpness of his jaw softened by a layer of exhaustion, but the way he tilted his head—an observant, calculating tilt—was as familiar to her as the crescent-shaped scar on her left wrist." | | 3 | "He didn't smile; he couldn't, not with the history written in the tension around his mouth." | | 4 | "She traced the edge of her scar, the memory of that night—the bruises she’d hidden under thick sweaters, the final, terrifying realization that he would never change—surfacing with agonizing clarity." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1319 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.02577710386656558 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.009855951478392721 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 109 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 109 | | mean | 12.02 | | std | 7.64 | | cv | 0.635 | | sampleLengths | | 0 | 21 | | 1 | 28 | | 2 | 20 | | 3 | 26 | | 4 | 5 | | 5 | 17 | | 6 | 20 | | 7 | 21 | | 8 | 9 | | 9 | 15 | | 10 | 24 | | 11 | 20 | | 12 | 12 | | 13 | 23 | | 14 | 19 | | 15 | 1 | | 16 | 36 | | 17 | 16 | | 18 | 18 | | 19 | 16 | | 20 | 21 | | 21 | 9 | | 22 | 2 | | 23 | 12 | | 24 | 16 | | 25 | 22 | | 26 | 8 | | 27 | 3 | | 28 | 20 | | 29 | 13 | | 30 | 18 | | 31 | 6 | | 32 | 12 | | 33 | 8 | | 34 | 3 | | 35 | 4 | | 36 | 6 | | 37 | 12 | | 38 | 21 | | 39 | 8 | | 40 | 10 | | 41 | 13 | | 42 | 20 | | 43 | 5 | | 44 | 9 | | 45 | 3 | | 46 | 3 | | 47 | 6 | | 48 | 7 | | 49 | 7 |
| |
| 33.49% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.28440366972477066 | | totalSentences | 109 | | uniqueOpeners | 31 | |
| 32.68% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 102 | | matches | | 0 | "Then he turned, stepping into" |
| | ratio | 0.01 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 61 | | totalSentences | 102 | | matches | | 0 | "She stood just outside the" | | 1 | "It was nearing midnight, the" | | 2 | "She didn’t want to go" | | 3 | "She pushed into the bar." | | 4 | "He caught her eye and" | | 5 | "He knew better than to" | | 6 | "He simply tapped the tap" | | 7 | "She pushed her black hair" | | 8 | "He moved with a hesitant," | | 9 | "He looked older, the sharpness" | | 10 | "He wasn't the volatile boy" | | 11 | "He looked bruised by life," | | 12 | "She prayed he wouldn't look" | | 13 | "Their eyes locked across the" | | 14 | "He didn't smile; he couldn't," | | 15 | "He walked toward her, his" | | 16 | "She stayed, anchored by a" | | 17 | "His voice was a sandpaper" | | 18 | "He stopped a few feet" | | 19 | "You’re a long way from" |
| | ratio | 0.598 | |
| 9.02% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 92 | | totalSentences | 102 | | matches | | 0 | "The green neon sign above" | | 1 | "She stood just outside the" | | 2 | "It was nearing midnight, the" | | 3 | "She didn’t want to go" | | 4 | "She pushed into the bar." | | 5 | "The warmth inside hit her" | | 6 | "Silas was behind the mahogany," | | 7 | "He caught her eye and" | | 8 | "He knew better than to" | | 9 | "He simply tapped the tap" | | 10 | "Rory climbed onto a stool" | | 11 | "She pushed her black hair" | | 12 | "A man stepped in out" | | 13 | "He moved with a hesitant," | | 14 | "He looked older, the sharpness" | | 15 | "He wasn't the volatile boy" | | 16 | "He looked bruised by life," | | 17 | "Rory instinctively pulled her sleeves" | | 18 | "She prayed he wouldn't look" | | 19 | "Their eyes locked across the" |
| | ratio | 0.902 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 102 | | matches | (empty) | | ratio | 0 | |
| 82.32% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 59 | | technicalSentenceCount | 5 | | matches | | 0 | "The green neon sign above the Raven’s Nest hummed with a low-frequency vibration that seemed to settle deep in Aurora’s teeth." | | 1 | "He flinched, and for a second, the mask slipped, showing the raw vulnerability of a man who realized he had squandered his only tether." | | 2 | "When the bell chimed again, letting in the damp, midnight air, the silence that returned to the Raven’s Nest felt different." | | 3 | "She didn't see the girl who had run from Cardiff in the dead of night, breathless and afraid." | | 4 | "She saw a woman with steady hands, standing in a city that was finally becoming her own." |
| |
| 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 | |