Frequently Asked Questions (FAQs)

Q1: What is the difference between AI agents and traditional automation?

AI agents possess perception, reasoning, and decision-making capabilities, enabling autonomy and adaptability, unlike rule-based traditional automation.

Q2: How do I choose the right orchestration tool?

Consider factors like ease of integration, supported workflows, scalability, community support, and specific features relevant to your use case.

Q3: Can AI agents learn and improve over time?

Yes, especially if integrated with reinforcement learning or continual learning frameworks.

Q4: What are common challenges when deploying AI workflow systems?

Scalability, error handling, data privacy, interoperability, and maintaining system robustness.

Q5: How do AI agents communicate within a workflow?

Through APIs, message queues, or shared data stores, structured to support seamless data flow and coordination.