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What happens when you stop just talking about being 'AI-first' and actually put it into practice? In this episode of the Autonify podcast, hosts James, Gareth, and Alex dive into their hands-on experiments with AI automation—sharing not only early wins but the real challenges and surprises along the way. Alex kicks things off, candidly admitting he's been deep in the weeds with both Claude projects and custom GPTs, testing how these advanced AI tools can automate everything from marketing research to customer journey mapping. He’s especially impressed by how these systems can retain context across tasks and even hand off work between one another, hinting at a future where integrated AI workflows could replace traditional, siloed back office roles.
James and Gareth jump in with probing questions, pushing Alex to unpack the tangible benefits compared to the old-school, human-driven ways of working. The team discusses how AI’s ability to maintain shared context could eliminate the miscommunications and inefficiencies that plague most teams—no more context lost between daily standups or scattered documentation. Alex also gives a shoutout to School Leap AI on YouTube, whose tutorials helped him ramp up quickly, demonstrating the importance of continuous learning in this fast-moving space. Throughout the conversation, the hosts blend practical experimentation with big-picture thinking, asking whether we still need all the traditional roles or if AI could reshape team structures entirely.
Listeners will come away with a fresh, insider’s perspective on what it really takes to build AI-driven operations, plus actionable recommendations on where to find the best resources to get started. Whether you’re curious about the nuts and bolts of setting up automated workflows or just want to hear what happens when a team of tech enthusiasts put today’s hottest AI tools to the test, this episode is packed with insights and inspiration.
