What's the Point of Using AgentFlows?
Discover how AI agents outpace traditional chatbots!
Are chatbots outdated? In this video, Bisma Majeed explains how AI systems have transitioned from basic chatbots to advanced AI agents capable of dynamic decision-making. Learn how agent flows adapt to complex tasks while traditional chatbots remain useful for simpler needs. Explore the benefits of implementing agent flows in your business today!
Details
1. Introduction to AI evolution: from chatbots to agents.
2. Understanding the limitations of traditional chatbots.
3. Visual analogy: chatbots as roads vs. agents as city structures.
4. Practical implementation of chat flows and agent flows.
5. Case studies: when to use chatbots and when to opt for agents.
6. Best practices for integrating agent flows in organizations.
7. Conclusion: choosing the right tool for your specific needs.## Key Takeaways
- AI systems have evolved from basic chatbots to complex AI agents.
- Chatbots were limited by static responses and lacked contextual memory.
- AI agents offer dynamic decision-making and adapt to user needs.
- Visual analogy compares chatbots to simple roads and agents to complex cities.
- Organizations can implement both chat flows and agent flows effectively.
- Choosing between chatbots and agents depends on specific use cases.
Speaker: Bisma Majeed
Track: builder-tips
Date: November 21, 2025
Source: Video Recording
