AWS × AgentFlo, Part 1: Building AI Sales Agents on Bedrock AgentCore
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AWS × AgentFlo, Part 1: Building AI Sales Agents on Bedrock AgentCore
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Jordan and Riley walk through the first half of AgentFlo's architecture for AI sales agents that live in WhatsApp, SMS, and RCS and handle product discovery, carts, and order completion — a five-layer design built on Amazon Bedrock AgentCore. They dig into recipe-based deployment that onboards a merchant in minutes, a model-driven approach instead of rigid workflows, why AgentFlo chose a single agent over multi-agent for commerce, per-session microVM isolation, and standardizing every third-party integration behind one MCP tool gateway so onboarding a service becomes a config change, not an agent change. A future episode picks up the trust and reliability layers. This is original commentary, not a reproduction of the original post.
Source: "How AgentFlo built AI sales agents with Amazon Bedrock AgentCore – Part 1" by Muhammad Musab Iqbal, Melanie Li, Mohammad Hamza Khan, Anirudh Marc J, and Vincent Wang, AWS Architecture Blog, Aug 19 2026 — https://aws.amazon.com/blogs/architecture/how-agentflo-built-ai-sales-agents-with-amazon-bedrock-agentcore-part-1/