Most business owners are still using AI like a smarter search engine. They're missing where the real leverage begins.
In this episode of Entry & Exit, Stephen Olmon and Collin Trimble pull back the curtain on their AI journey, from using ChatGPT to clean up emails to building AI agents that automate complex workflows across their business. They explain the mindset shift that changed everything, why treating AI like a digital employee unlocks entirely new possibilities, and how consolidating data inside Salesforce became the foundation for meaningful automation.
They also break down the difference between simple automations and true AI agents, share how they built their own open-source AI stack without a software engineering background, and discuss the practical tools they're using today to create operational leverage.
Whether you're just getting started with AI or looking to move beyond basic prompts, this episode offers a practical look at what's possible today.
In this episode:
→ How Stephen and Collin went from AI skeptics to daily users
→ Why AI should be treated like a digital employee—not a chatbot
→ The importance of centralizing business data before adopting AI
→ The difference between automation and agentic AI
→ Building AI agents without a software engineering background
→ The open-source tools powering their AI workflows
→ How AI is helping automate sales, operations, and data analysis
→ Why the best time to start experimenting with AI is now
Connect:
Stephen Olmon — https://x.com/stephenolmon
Collin Trimble — https://x.com/TXAlarmGuy
Owned and Operated
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