# Domain Research Task

## Purpose

Conduct comprehensive research about the domain and problem space before designing AI agents, ensuring evidence-based design decisions.

## Task Instructions

### 1. Problem Space Analysis

[[LLM: Research the specific domain thoroughly]]

Research areas:

- Industry context and challenges
- Existing solutions and their limitations
- User personas and needs
- Technical constraints and opportunities

### 2. Competitive Analysis

Analyze existing solutions:

- Direct competitors
- Adjacent solutions
- Best practices
- Gap analysis

### 3. Technical Landscape

Research technical approaches:

- Relevant AI/ML techniques
- Model capabilities and limitations
- Integration patterns
- Performance considerations

### 4. Create Research Summary

Document findings:

- Key insights
- Recommended approaches
- Risk factors
- Technical requirements

## Success Criteria

- Comprehensive domain understanding
- Clear problem definition
- Informed technical recommendations
- Evidence-based design foundation

## Notes

This is a stub task created for workflow compatibility.
Full implementation should include detailed research methodologies.