Suggested questions

1What does “agent-native” infrastructure mean to you, and why does it matter now?

2Where do most AI product proofs-of-concept stumble when moving to production?

3Which governance basics should teams put in place before scaling agents?

4How do you think about observing and debugging an agent’s “reasoning” in practice?

5Why insist on open, declarative definitions for agents instead of closed tooling?

6What’s the right role for human oversight as agents take on more autonomy?

7How do you design agents to collaborate without creating chaos or duplication?

8What does a useful audit trail look like for an agentic decision or action?

9For teams new to agents, what capabilities should they build first?

10Where do you see durable value emerging in the agent infrastructure stack over the next few years?