Natural Language Project Init
Start Research Projects with Plain Language
Diverga auto-detects your research intent from natural language input and generates a complete project structure with documentation. No commands to memorize. Introduced in v8.0.
Auto-Detection
Just describe what you want to research. Diverga identifies the research type:
Systematic Review
"I want to conduct a systematic review on..."
Meta-Analysis
"Analyze effect sizes across studies about..."
Literature Review
"What does the literature say about..."
Experimental
"I want to test whether X causes Y..."
Qualitative
"Explore lived experiences of..."
Mixed Methods
"Both quantify and understand why..."
Bilingual Support
Works equally well in English and Korean:
"I want to study how AI chatbots help students learn languages"
Detected: experimental / quasi-experimental
"AI 챗봇이 학생들의 언어 학습에 어떻게 도움이 되는지 연구하고 싶어요"
Detected: experimental / quasi-experimental
Auto-Generated Documentation
Every project starts with 7 documentation files:
Generated Project Structure
.research/ # System files (hidden) ├── baselines/ │ ├── literature/ │ ├── methodology/ │ └── framework/ ├── changes/ │ ├── current/ │ └── archive/ ├── sessions/ ├── project-state.yaml # Research configuration ├── decision-log.yaml # Checkpoint decisions ├── checkpoints.yaml # Checkpoint states └── hud-state.json # HUD display state docs/ # Researcher-facing (auto-generated) ├── PROJECT_STATUS.md ├── DECISION_LOG.md ├── RESEARCH_AUDIT.md ├── METHODOLOGY.md ├── TIMELINE.md ├── REFERENCES.md └── README.md
Start Your Research Project
Just tell Diverga what you want to research. Everything else is automatic.