Notas del episodio
Jordan and Riley continue with the second half of AgentFlo's Bedrock AgentCore build, focused on trust and reliability for agents that take real actions like placing orders and applying discounts. They cover the "model proposes, deterministic policy decides" philosophy — three layers of guardrails across the request lifecycle, Cedar policies enforcing business rules like a maximum discount independent of whatever the model reasons, and a two-table DynamoDB design that pins prices and cart state to structured data so the model can't hallucinate them — plus a reported +12% net revenue uplift from early deployment. This is original commentary, not a reproduction of the original post.
Source: "How AgentFlo built AI sales agents with Amazon Bedrock AgentCore – Part 2" by Muhammad Musab Iqbal, Melanie Li, et al. (AWS + AgentFlo), AWS Architecture Blog, Aug 21 2026 — https://aws.amazon.com/blogs/architecture/how-agentflo-built-ai-sales-agents-with-amazon-bedrock-agentcore-part-2/