Stop Designing AI Agents From Scratch. Steal These 25 Patterns Instead.

Originally published on Build With AWS. Subscribe for weekly AWS builds. A customer support team deployed a Bedrock-powered chatbot last quarter. It answered questions from a knowledge base, handle...

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Stop Designing AI Agents From Scratch. Steal These 25 Patterns Instead.

Source: DEV Community

Originally published on Build With AWS. Subscribe for weekly AWS builds. A customer support team deployed a Bedrock-powered chatbot last quarter. It answered questions from a knowledge base, handled basic FAQs, and saved about 15 hours per week. Thanks for reading Build With AWS! Subscribe for free to receive new posts and support my work. Solid win. Then someone asked: “Can it also check order status, issue refunds, and escalate to the right team based on sentiment?” That question marks the exact boundary between a GenAI feature and an AI agent. This is the first edition of a five-part series cataloging real AI architecture patterns running on AWS right now. Each edition covers 20-25 use cases with enough detail to evaluate whether they fit your organization: what the agent does, which services power it, and a reference architecture you can adapt. Patterns you can take to your next architecture review, not slides about the future of AI. But first, two quick mental models so the cards

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