| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 82.64% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1152 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | |
| 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) | |
| 8.85% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1152 | | totalAiIsms | 21 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "echoing" | | 1 | "weight" | | 2 | "calculated" | | 3 | "throb" | | 4 | "rhythmic" | | 5 | "velvet" | | 6 | "tension" | | 7 | "sense of" | | 8 | "grave" | | 9 | "facade" | | 10 | "lilt" | | 11 | "whisper" | | 12 | "magnetic" | | 13 | "pulse" | | 14 | "resolve" | | 15 | "unreadable" | | 16 | "traced" | | 17 | "searing" | | 18 | "silence" |
| |
| 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 | 63 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 63 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 63 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1150 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 1150 | | uniqueNames | 7 | | maxNameDensity | 0.78 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 9 | | Avaros | 1 | | Cardiff | 1 | | Ptolemy | 1 | | Rory | 7 | | London | 1 | | You | 4 |
| | persons | | 0 | "Lucien" | | 1 | "Ptolemy" | | 2 | "Rory" | | 3 | "You" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 4 | | matches | | 0 | "felt like a physical weight, a dam hold" | | 1 | "felt like a theft" | | 2 | "felt like they were closing in, the boo" | | 3 | "felt like a surrender, a quiet admissio" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.87 | | wordCount | 1150 | | matches | | 0 | "not with the clinical detachment of a broker, but with the desperate scrutiny of a man trying to solve a puzzl" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 63 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 27 | | mean | 42.59 | | std | 29.4 | | cv | 0.69 | | sampleLengths | | 0 | 93 | | 1 | 19 | | 2 | 77 | | 3 | 19 | | 4 | 78 | | 5 | 21 | | 6 | 82 | | 7 | 10 | | 8 | 71 | | 9 | 27 | | 10 | 7 | | 11 | 79 | | 12 | 22 | | 13 | 30 | | 14 | 88 | | 15 | 9 | | 16 | 72 | | 17 | 16 | | 18 | 17 | | 19 | 71 | | 20 | 8 | | 21 | 24 | | 22 | 59 | | 23 | 18 | | 24 | 49 | | 25 | 17 | | 26 | 67 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 63 | | matches | (empty) | |
| 96.37% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 193 | | matches | | 0 | "were still sharing" | | 1 | "was actively tearing" | | 2 | "were closing" |
| |
| 97.51% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 63 | | ratio | 0.016 | | matches | | 0 | "He leaned in until the tip of his nose brushed against her temple, the scent of him—ozone, old leather, and a faint, sweet rot—overwhelming her senses." |
| |
| 95.67% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1157 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 52 | | adverbRatio | 0.0449438202247191 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.010371650821089023 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 63 | | echoCount | 0 | | echoWords | (empty) | |
| 88.98% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 63 | | mean | 18.25 | | std | 6.8 | | cv | 0.372 | | sampleLengths | | 0 | 16 | | 1 | 19 | | 2 | 15 | | 3 | 22 | | 4 | 21 | | 5 | 19 | | 6 | 18 | | 7 | 17 | | 8 | 24 | | 9 | 18 | | 10 | 19 | | 11 | 19 | | 12 | 22 | | 13 | 11 | | 14 | 26 | | 15 | 21 | | 16 | 13 | | 17 | 21 | | 18 | 14 | | 19 | 34 | | 20 | 10 | | 21 | 14 | | 22 | 21 | | 23 | 20 | | 24 | 16 | | 25 | 27 | | 26 | 2 | | 27 | 5 | | 28 | 5 | | 29 | 24 | | 30 | 28 | | 31 | 22 | | 32 | 22 | | 33 | 30 | | 34 | 16 | | 35 | 21 | | 36 | 20 | | 37 | 31 | | 38 | 9 | | 39 | 18 | | 40 | 14 | | 41 | 18 | | 42 | 22 | | 43 | 16 | | 44 | 17 | | 45 | 26 | | 46 | 24 | | 47 | 21 | | 48 | 6 | | 49 | 2 |
| |
| 43.65% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.2857142857142857 | | totalSentences | 63 | | uniqueOpeners | 18 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 61 | | matches | | 0 | "Then state your business and" | | 1 | "Instead, he reached out, his" | | 2 | "Then stop trying to save" |
| | ratio | 0.049 | |
| 3.61% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 61 | | matches | | 0 | "She gripped the edge of" | | 1 | "His charcoal suit absorbed the" | | 2 | "It has been exactly six" | | 3 | "He stepped into the threshold" | | 4 | "He pulled a folded parchment" | | 5 | "His movements possessed an unnatural" | | 6 | "She watched the crescent-shaped scar" | | 7 | "I did not come to" | | 8 | "She crossed her arms, the" | | 9 | "She remembered the heat of" | | 10 | "He stepped closer, invading the" | | 11 | "He looked down at her," | | 12 | "You are suffocating the room." | | 13 | "He did not move back." | | 14 | "I warned you once, back" | | 15 | "You were always so fond" | | 16 | "He placed a hand on" | | 17 | "He looked at her not" | | 18 | "I do not discard what" | | 19 | "His voice dropped, losing its" |
| | ratio | 0.541 | |
| 9.18% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 61 | | matches | | 0 | "The three deadbolts clicked back" | | 1 | "Rory swung the door open," | | 2 | "She gripped the edge of" | | 3 | "His charcoal suit absorbed the" | | 4 | "It has been exactly six" | | 5 | "Lucien shifted his weight, the" | | 6 | "He stepped into the threshold" | | 7 | "The air between them sharpened," | | 8 | "Rory stepped back, retreating toward" | | 9 | "The business in Avaros demanded" | | 10 | "He pulled a folded parchment" | | 11 | "His movements possessed an unnatural" | | 12 | "Rory stared at the paper" | | 13 | "She watched the crescent-shaped scar" | | 14 | "I did not come to" | | 15 | "A tabby cat, Ptolemy, wound" | | 16 | "Lucien swerved his cane, missing" | | 17 | "She crossed her arms, the" | | 18 | "She remembered the heat of" | | 19 | "He stepped closer, invading the" |
| | ratio | 0.902 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 51.95% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 7 | | matches | | 0 | "He stepped into the threshold without waiting for an invitation, his presence crowding the narrow entrance hall." | | 1 | "She watched the crescent-shaped scar on her wrist throb, a phantom ache that prickled whenever Lucien stood close enough to alter the gravity of a room." | | 2 | "The tension tightened like a bowstring, vibrating with a frequency that made the very air hum." | | 3 | "The underworld in London is bleeding out, and your clever little games have attracted the attention of predators who do not share my sense of theatrical restrai…" | | 4 | "He looked at her not with the clinical detachment of a broker, but with the desperate scrutiny of a man trying to solve a puzzle that was actively tearing him a…" | | 5 | "Rory closed her eyes, her pulse thundering in her ears, her own resolve fraying under the relentless pressure of his presence." | | 6 | "I am whatever keeps you breathing long enough to realize that I am the only person who knows exactly how fragile you truly are." |
| |
| 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 | |