Description
What’s actually changing as teams start building agentic AI systems?
In this conversation, Peter Fedorocko, Chris Bonilla, and Vojta Bartos sit down to talk through what they’re seeing in practice, including the patterns that keep repeating, the assumptions that no longer hold, and the areas where real differentiation is starting to matter.
Rather than walking through products or demos, the discussion focuses on trends and lessons from the field, including:
- AI skills: how agent capabilities are evolving and why skills are becoming more important than models alone.
- Sandboxes: why secure, isolated execution environments are turning into a requirement for running agents reliably.
- Commoditization: which parts of the AI stack are becoming standard, and where teams can still build an edge.
Our speakers also touch on what strong teams are prioritizing right now, and why getting context right is often a necessary step before going fully agentic.
This video is for engineers, architects, and product teams who want a clear, experience-based view of what actually matters in agentic AI today.
Meet the speakers
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