4kd.ai - Ep. 2 | Agentic AI in the Wild: Real-World Builds and Business Use Cases
In Episode 2 of 4kd.ai, Jack, Craig, and David dive into real-world applications of agentic AI and what it actually looks like to build with these tools day-to-day. From replacing legacy software with custom AI workflows, to building dispatch systems, scraping and analyzing market data, and even running deep investigative research, this episode is all about execution—not theory.
They break down how they’re using tools like OpenClaw, MongoDB, and local models to automate workflows, reduce manual work, and uncover insights that would have taken hours (or days) before. Along the way, they also talk through what’s working, what’s not, and how they’re thinking about building scalable AI systems inside real businesses.
They break down how they’re using tools like OpenClaw, MongoDB, and local models to automate workflows, reduce manual work, and uncover insights that would have taken hours (or days) before. Along the way, they also talk through what’s working, what’s not, and how they’re thinking about building scalable AI systems inside real businesses.
