What AI Agents Need Before Production
About this episode
The episode discusses the challenges of putting AI agents into production and features a conversation with Lucas Thelosen about the agent economy and AI analytics.
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…
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