This post guides you through building a server for real-time PDF text extraction from Amazon S3 using the Model Context Protocol (MCP). It compares this interactive approach with Amazon Textract, detailing architecture, implementation steps, cost analysis, and security considerations.
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2026-06-26
Build interactive PDF text extraction from Amazon S3
How Cara pioneers domain-specific AI for enterprise insurance brokerages with AWS
Cara is an AI-native solution on AWS that automates back-office processes for insurance brokerages, saving agents ~10 hours per week. It uses Amazon EKS and Amazon Bedrock for scalable, secure, domain-specific AI workflows.
Production-grade AI agents for financial compliance: Lessons from Stripe
Stripe processes $1.4 trillion in annual payment volume across 50 countries. Using a ReAct agent framework on Amazon Bedrock, they reduced review handling time by 26% while maintaining human oversight. This article covers the technical architecture, infrastructure decisions, and lessons learned, including task decomposition, orchestration patterns, and cost optimization via prompt caching.