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Designing an Agent System
Designing an agent system requires thinking through the goal, the tools, the state, the decision logic, and the failure cases before writing any code.
8 min•By Priygop Team•Updated 2026
Design Checklist
- Define the goal: what exactly is the agent trying to achieve? When is the goal complete?
- List required tools: what actions does the agent need? Which external systems will it call?
- Define the state structure: what information does the agent need to track across steps?
- Define guardrails: what is the agent NOT allowed to do? What requires human approval?
- Define exit conditions: when does the agent finish, fail, or escalate?
- Define the step limit: how many steps should the agent be allowed before stopping?
- Plan for failure: what happens if a tool fails? What is the fallback?
- Plan for logging: how will you track what the agent did and why?
Key Takeaways
- Designing an agent system requires thinking through the goal, the tools, the state, the decision logic, and the failure cases before writing any code.
- Define the goal: what exactly is the agent trying to achieve? When is the goal complete?
- List required tools: what actions does the agent need? Which external systems will it call?
- Define the state structure: what information does the agent need to track across steps?