58: Using AI for Building Multi-Agent Systems with Jake George
Feb 24, 2025
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Jake George, co-founder of Agentic Brain and an expert in AI automation, shares his journey from the crypto world to revolutionizing business operations with AI agents. He dives into the key distinctions between AI agents and traditional automated workflows, emphasizing their goal-oriented decision-making prowess. Jake debunks common misconceptions about AI's capabilities and discusses the importance of tailored solutions for effective integration. Looking towards 2025, he foresees a rich future for AI agents, underlining the necessity for businesses to adapt and optimize their processes.
AI agents differ from traditional automated workflows as they can adapt and make decisions in real-time without pre-planned steps.
Integrating AI into sales processes improves efficiency but requires strong foundational strategies to achieve meaningful results.
There's a misconception that off-the-shelf AI solutions can easily solve complex business challenges, when effective implementations often need custom development.
Deep dives
Jake George's Journey into AI
Jake George's path to becoming an expert in AI agents began when he explored the capabilities of GPT-3.5. Initially managing developer teams in the crypto space, he soon recognized AI's potential to transform business processes. After experiencing the dynamic capabilities of AI, he shifted his focus to building automated workflows that improved internal processes and sales. This pivot eventually led him to establish his own company, where he concentrated on workflow automation and subsequently incorporated AI agents as their functionality evolved.
Understanding AI Agents
AI agents are distinct from traditional automated workflows due to their ability to make dynamic decisions and carry out tasks without pre-planned steps. Unlike standard workflows, which require prior planning of each action, agents can adapt their actions based on real-time data and reflect on their outcomes. This capability allows agents to perform in a way that resembles human decision-making, enabling them to carry out complex tasks autonomously. This approach contrasts sharply with misconceptions that AI can simply automate existing, inefficient processes without substantial underlying improvements.
The Role of AI in Sales Processes
Integrating AI into sales processes can enhance efficiency but does not eliminate the need for strong underlying processes. AI can automate repetitive tasks, allowing sales teams to focus on higher-level strategies, but it cannot replace fundamental skills in selling. Proper analysis of a company's sales process, combined with AI solutions, can lead to significant improvements and help identify gaps in strategy. This combined approach helps clients witness the true returns on their investment in AI technologies.
Common Misconceptions Around AI and Agents
There exists a widespread misconception that AI can solve complex business problems with minimal input and that ready-made 'agent solutions' are available off-the-shelf for any business need. In reality, effective AI implementation often requires custom development tailored to specific business processes and goals. Businesses must be wary of solutions that promise quick results with minimal investment, as these often fail to deliver the desired outcomes. Understanding that AI tools are not a magic bullet, but rather a means to augment and enhance human efforts, is crucial for successful integration.
The Future of AI Agents
The next few years are expected to bring significant advancements in AI and agent capabilities, particularly as software companies integrate AI tools into their platforms. These improvements will enhance the functionality of agents, allowing them to operate more autonomously within applications like CRM systems. There is great anticipation for the development of reasoning models which will further refine agent decision-making processes. By 2025, it is likely that businesses will start to see more sophisticated agent-driven solutions that provide tangible benefits, particularly in tasks that require complex processing and decision-making.
AI agents are one of the hottest topics in 2025, but what are they really capable of? In this episode, Chris Daigle sits down with Jake George, co-founder of Agentic Brain, to break down the real-world applications of AI-driven agents in sales and business operations. Jake shares his journey from building developer teams in the crypto space to becoming an expert in AI automation, and he explains how businesses can integrate AI agents to improve sales processes, automate workflows, and boost efficiency. If you've been wondering how to harness AI agents without falling for the hype, this conversation is packed with insights you won’t want to miss.
Chapters: 00:00 - Introduction to Jake George 03:22 - Jake’s Journey into AI and Automation 08:15 - What Defines an AI Agent? 12:40 - Differences Between Agents and Automated Workflows 18:05 - How Businesses Can Implement AI Agents Today 24:30 - Common Misconceptions About AI Agents 30:55 - The Role of AI in Decision-Making Processes 36:45 - The Future of AI Agents in 2025 42:10 - Why AI Adoption Requires Process Optimization 49:00 - How to Get Started with AI Agents in Business 53:30 - Closing Thoughts and Jake’s Final Advice
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