AWS on Productionizing GenAI: Bedrock, MCP & Agents

What does it actually take to move GenAI from prototype to production? An AWS AI Engineering Specialist joins Jörn “Joe” Menninger to break down Bedrock, MCP, and agentic workflows for startups building at scale.

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Why this episode matters: Reliable AI infrastructure underpins every modern product, fintech included. The patterns here — from Bedrock to agentic workflows — decide whether a GenAI feature survives real-world scale and cost.

In this episode, we cover:

• Moving GenAI from prototype to production-ready systems
• How AWS Bedrock and MCP fit a startup AI stack
• Designing agentic workflows that hold up at scale
• Managing cost and reliability in production AI
• What AWS's engineering lens teaches startup builders

Related episodes: GenAI Compliance for Startups: Using AI Without… · Agentic AI for SaaS: Pricing Agents & EU AI Act Trust

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