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Building Platforms for AI Agents, with Mauricio (Salaboy) Salatino

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Non-deterministic agents pose specific challenges for platform teams in observability, state management, governance, and trust.

Mauricio (Salaboy) Salatino explains why agentic applications behave like distributed multi-agent systems. His test assigned agents to take an order, cook the pizza, deliver it, and charge the customer. One order crossed 15 containers and produced 200 traces.

In this interview:

  • Why agent frameworks can recreate monolith scaling and resource contention

  • How OpenTelemetry data can measure agent behavior and trust over time

  • Why narrowly scoped agents are safer than agents that follow long sequences

  • How the platform can become the learning layer that feeds better context back to LLMs

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