Don't SUCK at AI
Welcome to the "Don’t Suck at AI" Podcast—where we cut through the noise and dive straight into what really matters: doing AI right. This isn’t just another tech podcast; it’s a bold, thought-provoking journey into how artificial intelligence can be a force for good, driving innovation, solving real-world problems, and reshaping the future with purpose.
We bring together industry leaders, AI visionaries, and disruptive thinkers to explore the ethical, impactful, and downright game-changing ways AI can make the world a better place. If you’re ready to challenge the status quo, spark new ideas, and learn how not to suck at AI, you’re in the right place.
Don't SUCK at AI
"Chatbots vs. AI Agents: What's the Difference and Why Should You Care?
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John Lindsey
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Season 4
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Episode 3
- Podcast Introduction: John Lindsey, the host of "Don't Suck at AI," introduces the episode topic: the difference between chatbots and AI agents.
- Chatbot Explanation: Lindsey describes chatbots as operating on pre-programmed rules and decision trees. They are limited in their understanding, follow scripts, and struggle with nuances of language and remembering previous interactions. Common uses for chatbots include customer support, scheduling, and retail returns.
- AI Agent Introduction: Lindsey shifts the focus to AI agents, emphasizing their more advanced nature due to large language models (LLMs) and techniques like natural language processing (NLP) and machine learning.
- AI Agent Capabilities: AI agents are described as having contextual understanding, the ability to remember past interactions, and adapt their responses accordingly. They can make decisions and take actions autonomously, integrate with other systems, and perform tasks independently.
- Analogy: Lindsey compares chatbots to receptionists and AI agents to personal assistants to illustrate their different roles and capabilities.
- Benefits of AI Agents for Businesses: Lindsey discusses several areas where businesses might benefit from using AI agents, such as automating repetitive tasks, processing large amounts of data quickly, providing personalized experiences, and offering 24/7 availability.
- Legal Tech Example: Lindsey pivots to focusing on the legal domain, specifically how AI agents could be used within a midsize law firm focused on intellectual property (IP) rights. The scenario involves monitoring trademarks and copyrights for potential infringements.
- Legal Firm Benefits: The benefits for the law firm include proactive monitoring, minimized damage to client brands, increased efficiency, enhanced client confidence, and gaining a competitive advantage.
- Off-the-Shelf AI Agent Examples: Lindsey mentions several commercially available AI agents:
- Reply Guy: An AI agent that finds the best places to mention your product online.
- Revid AI: An AI script generator that creates stories aligned with your audience.
- SEO Traffic Agent: An agent that does keyword research, writes articles, and links content for SEO purposes, syncing with various website platforms.
- Podcast Conclusion: Lindsey concludes the podcast by emphasizing the potential of AI agents and encourages listeners to conduct their own research. He reviews the main topics covered and then wraps up the episode.
Cast of Characters:
- John Lindsey: The host of the "Don't Suck at AI" podcast. He guides the listeners through the discussion, explaining the differences between chatbots and AI agents, as well as exploring potential uses and examples of each within business and specifically within the legal tech industry. He also provides off-the-shelf AI tool examples. His tone is informative and engaging. He appears to be a leading voice in this particular space.
Bob Miller Intro with Music Fade