What AI Agents Need Before Production

AI agents are easy to demo. They are much harder to trust, maintain, govern, and put into production. In this episode of The Tech Trek, Amir Bormand talks with Lucas Thelosen, CEO and cofounder at Gravity, about the agent economy, AI analytics, and what changes when analysts move from doing every task themselves to managing AI systems that create more bandwidth. Lucas shares why Gravity built Orion, an AI analyst, after years working in analytics, product, and data teams at companies like Looker and Google. The conversation gets into the messy middle of AI adoption, why so many agent projects struggle to make it into production, and how context may become one of the most valuable assets a company owns. Practical Takeaways • Agent prototypes are easy. Production agents require support, maintenance, accuracy checks, and clear ownership. • Not every company should build every agent internally. If the capability is not core to what you sell, buying may be the faster path. • Context matters because it lets humans critique AI output with business judgment, not just technical review. • Analysts may shift toward data architecture, governed data models, and internal product management for analytics. • AI does not remove human responsibility. It raises the bar for review, delegation, and decision making. Timestamped Highlights 00:40, What Gravity is building with Orion, an AI analyst designed around the work analytics teams already know well. 02:28, Why mature companies still miss major insights, even when they already have data teams. 03:43, The agent economy reality check, easy prototypes, hard production, and the gap between demo and durable system. 06:28, Why companies still build agents internally, even when many projects never reach production. 09:48, The case for experimenting now instead of waiting for the AI stack to settle. 11:40, How AI shifts people from doing the work to managing the work. 18:50, What the future analyst role may look like as AI takes on more of the execution layer. One Line That Stuck "Where previously you were the person doing the work, now you're the manager." Subscribe to The Tech Trek for more conversations on how technical teams are building, hiring, operating, and adapting around AI, data, platform, product, and engineering execution.