| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 3 | | adverbTags | | 0 | "He glanced around [around]" | | 1 | "He looked like [like]" | | 2 | "Rory said quietly [quietly]" |
| | dialogueSentences | 71 | | tagDensity | 0.31 | | leniency | 0.62 | | rawRatio | 0.136 | | effectiveRatio | 0.085 | |
| 84.21% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1583 | | totalAiIsmAdverbs | 5 | | found | | 0 | | | 1 | | | 2 | | adverb | "barely above a whisper" | | count | 1 |
|
| | highlights | | 0 | "very" | | 1 | "really" | | 2 | "barely above a whisper" |
| |
| 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) | |
| 62.10% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1583 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "familiar" | | 1 | "solitary" | | 2 | "sense of" | | 3 | "tracing" | | 4 | "silence" | | 5 | "traced" | | 6 | "sanctuary" | | 7 | "weight" | | 8 | "stark" | | 9 | "echoing" | | 10 | "whisper" |
| |
| 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 | 104 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 104 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 152 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1569 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 1037 | | uniqueNames | 9 | | maxNameDensity | 1.45 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Yu-Fei-a | 1 | | Mayfair | 1 | | Rory | 15 | | Silas | 15 | | Jacob | 5 | | Evan | 1 | | London | 2 |
| | persons | | 0 | "Raven" | | 1 | "Rory" | | 2 | "Silas" | | 3 | "Jacob" | | 4 | "Evan" |
| | places | | | globalScore | 0.777 | | windowScore | 0.667 | |
| 85.06% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 77 | | glossingSentenceCount | 2 | | matches | | 0 | "sounded like something unearthed" | | 1 | "looked like a man who belonged in boardro" |
| |
| 72.53% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.275 | | wordCount | 1569 | | matches | | 0 | "Not the loose-limbed, careless rise she remembered, but a deliberate unfolding, as if each movement required calcula" | | 1 | "Not just the lines, but the settled resignation in his eyes" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 152 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 70 | | mean | 22.41 | | std | 18.78 | | cv | 0.838 | | sampleLengths | | 0 | 61 | | 1 | 58 | | 2 | 20 | | 3 | 43 | | 4 | 52 | | 5 | 3 | | 6 | 13 | | 7 | 7 | | 8 | 2 | | 9 | 9 | | 10 | 75 | | 11 | 15 | | 12 | 45 | | 13 | 10 | | 14 | 60 | | 15 | 12 | | 16 | 1 | | 17 | 19 | | 18 | 35 | | 19 | 48 | | 20 | 4 | | 21 | 20 | | 22 | 5 | | 23 | 15 | | 24 | 18 | | 25 | 10 | | 26 | 4 | | 27 | 23 | | 28 | 32 | | 29 | 14 | | 30 | 11 | | 31 | 24 | | 32 | 1 | | 33 | 30 | | 34 | 3 | | 35 | 45 | | 36 | 4 | | 37 | 3 | | 38 | 12 | | 39 | 30 | | 40 | 12 | | 41 | 13 | | 42 | 16 | | 43 | 23 | | 44 | 36 | | 45 | 29 | | 46 | 12 | | 47 | 16 | | 48 | 78 | | 49 | 3 |
| |
| 98.52% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 104 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 166 | | matches | (empty) | |
| 67.67% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 1 | | flaggedSentences | 4 | | totalSentences | 152 | | ratio | 0.026 | | matches | | 0 | "The auburn hair she remembered—always messy, always falling into his eyes—was now threaded with silver at the temples and cut ruthlessly short." | | 1 | "A ghost of a smile touched his mouth—a mouth now lined at the corners." | | 2 | "Rory saw the shock register in his face—a quick, sharp intake of breath, a widening of the eyes." | | 3 | "He didn’t look at her directly; instead, his eyes traced the crescent-shaped scar on her left wrist, exposed as she rested her hands on the bar." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 995 | | adjectiveStacks | 1 | | stackExamples | | 0 | "outside washed over him" |
| | adverbCount | 39 | | adverbRatio | 0.03919597989949749 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.010050251256281407 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 152 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 152 | | mean | 10.32 | | std | 7.26 | | cv | 0.704 | | sampleLengths | | 0 | 7 | | 1 | 22 | | 2 | 24 | | 3 | 8 | | 4 | 13 | | 5 | 10 | | 6 | 12 | | 7 | 23 | | 8 | 18 | | 9 | 2 | | 10 | 14 | | 11 | 5 | | 12 | 24 | | 13 | 9 | | 14 | 17 | | 15 | 9 | | 16 | 17 | | 17 | 3 | | 18 | 2 | | 19 | 11 | | 20 | 5 | | 21 | 2 | | 22 | 2 | | 23 | 3 | | 24 | 6 | | 25 | 5 | | 26 | 15 | | 27 | 22 | | 28 | 11 | | 29 | 22 | | 30 | 9 | | 31 | 6 | | 32 | 5 | | 33 | 15 | | 34 | 14 | | 35 | 11 | | 36 | 10 | | 37 | 8 | | 38 | 16 | | 39 | 18 | | 40 | 14 | | 41 | 4 | | 42 | 3 | | 43 | 9 | | 44 | 1 | | 45 | 8 | | 46 | 11 | | 47 | 2 | | 48 | 17 | | 49 | 14 |
| |
| 44.96% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.32894736842105265 | | totalSentences | 152 | | uniqueOpeners | 50 | |
| 68.03% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 98 | | matches | | 0 | "Then his gaze slid past" | | 1 | "Then a mask of careful" |
| | ratio | 0.02 | |
| 24.08% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 48 | | totalSentences | 98 | | matches | | 0 | "She’d just finished her last" | | 1 | "Her shoulders ached from the" | | 2 | "His head lifted, a silent" | | 3 | "He gave a slight nod" | | 4 | "His movements were economical, precise." | | 5 | "She watched him drain the" | | 6 | "She turned fully on her" | | 7 | "He hadn’t noticed her yet." | | 8 | "His focus was on the" | | 9 | "He wore a dark wool" | | 10 | "His eyes, a blue she’d" | | 11 | "She’d seen the fracture." | | 12 | "Her name in his voice" | | 13 | "He picked up his pint" | | 14 | "She gestured to the empty" | | 15 | "He sat, placing the glass" | | 16 | "He didn’t look at her" | | 17 | "He finally met her eyes" | | 18 | "It wasn’t a question." | | 19 | "He glanced around, taking in" |
| | ratio | 0.49 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 91 | | totalSentences | 98 | | matches | | 0 | "The green neon hum was" | | 1 | "Rory pushed through the heavy" | | 2 | "She’d just finished her last" | | 3 | "Her shoulders ached from the" | | 4 | "Silas was behind the bar," | | 5 | "His head lifted, a silent" | | 6 | "The silver signet ring on" | | 7 | "He gave a slight nod" | | 8 | "Rory hung her jacket on" | | 9 | "Silas placed a glass of" | | 10 | "His movements were economical, precise." | | 11 | "The slight hitch in his" | | 12 | "The man at the end" | | 13 | "Something about the angle of" | | 14 | "A prickling sense of recognition" | | 15 | "She watched him drain the" | | 16 | "Silas took the empty glass." | | 17 | "Rory’s breath hitched." | | 18 | "She turned fully on her" | | 19 | "He hadn’t noticed her yet." |
| | ratio | 0.929 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 98 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 2 | | matches | | 0 | "She’d just finished her last delivery for Yu-Fei—a complicated order to a reclusive art dealer in Mayfair who’d tipped her in crisp, expensive-looking euros." | | 1 | "Not the loose-limbed, careless rise she remembered, but a deliberate unfolding, as if each movement required calculation." |
| |
| 56.82% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 3 | | matches | | 0 | "Rory said, the memory surfacing with sudden clarity" | | 1 | "He looked, his blue eyes stark" | | 2 | "Rory asked, her voice barely above a whisper" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 71 | | tagDensity | 0.099 | | leniency | 0.197 | | rawRatio | 0 | | effectiveRatio | 0 | |