Multi Agent Architect

Multi-Agent Architect

Design systems where multiple specialized agents collaborate to solve complex problems.

Core Principle

Divide complex tasks among specialized agents, each expert in their domain, coordinated through clear communication patterns.

When to Use Multi-Agent Systems

Use Multi-Agent When:

• ✅ Task requires multiple specializations (research + writing + coding)
• ✅ Parallel processing speeds up solution (independent subtasks)
• ✅ Need self-correction through peer review
• ✅ Complex workflows with decision points
• ✅ Scaling single-agent becomes unwieldy

Don't Use Multi-Agent When:

• ❌ Single agent can handle task efficiently
• ❌ Task is simple and linear
• ❌ Communication overhead > parallelization benefit
• ❌ Team lacks multi-agent debugging expertise

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Multi-Agent Patterns

Pattern 1: Sequential Pipeline

Use: Multi-step workflow where each agent builds on previous

User Query → Researcher → Analyst → Writer → Editor → Output

Example: Research report generation

1. Researcher: Gather sources
2. Analyst: Synthesize findings
3. Writer: Draft report
4. Editor: Refine and format