What are the best practices for building agents in UiPath Agent Builder?✨

Hi everyone :waving_hand:,

With UiPath Agent Builder :rocket: becoming such an exciting tool, ensuring everything is set up for success right from the start is crucial.

For those who already have hands-on experience, what are some of the key best practices, design patterns, or pitfalls to avoid?

Real-world insights and lessons learned from actual deployments would be incredibly valuable for all newcomers trying to build efficient, stable agents.

Looking forward to the community’s insights! :backhand_index_pointing_down:

Hi @tejaskumar.darji

Agents - Best practices for building agents

Technical Tuesday: 10 best practices for building reliable AI agents in 2025 | UiPath

  • Don’t assume all tasks will be completed as expected via the agent. It can make mistakes so design solution to mitigate it using clear instructions, guardrails and fallback mechanisms.
  • Be very clear with the requirement before you start building you agentic solution.
  • Whenever you need precise outputs—like calculations, scoring, or validations—rely on tools instead of the LLM. Let the agent focus on decision-making, not execution-heavy logic.
  • Leverage Context grounding. Providing the right context helps keep responses relevant and consistent.
  • For sensitive scenarios, make sure you implement proper guardrails and PII masking. This is critical for both safety and compliance.
  • Instead of building complex conditional logic for every edge case, design your agent to escalate when something is unclear. A well thought escalation mechanism can reduce unnecessary human-in-the-loop effort while still ensuring accuracy.