How LendingTree built a multi-agent mortgage assistant on Amazon Bedrock
AWS Machine Learningen

Learn how LendingTree built a production multi-agent mortgage assistant on Amazon Bedrock. Three coordinated agents use LangGraph, the Model Context Protocol, and Amazon Nova models with built-in guardrails to deliver 24/7 personalized mortgage guidance while meeting strict financial-services compliance.
This is a short summary published by AI Global Wire. The full article is owned and hosted by AWS Machine Learning — open it there to read it in full.
Read the full story at AWS Machine Learning- Agenter
Related AI news
- Figma’s push into AI agents drives an earnings beatMarketWatch Tech · August 5, 2026
- Klaviyo acquires Elias Torres’ Agency in full-circle reunion for tech foundersTechCrunch AI · August 5, 2026
- Meta releases Muse Code in beta, a terminal coding agent powered by Muse Spark 1.2, a coding-focused model priced at $1.25/1M input and $4.25/1M output tokens (Jonathan Vanian/CNBC)Techmeme · August 5, 2026
- How Mobileye transformed support operations using Amazon Bedrock AgentCoreAWS Machine Learning · August 5, 2026
- How we built an MCP bridge to give our AgentCore-hosted AI agent access to local MCP toolsAWS Machine Learning · August 5, 2026
- Run production AI agents in n8n with Amazon Bedrock AgentCore harnessAWS Machine Learning · August 5, 2026