Explore practical applications of Agentic AI through two real-world case studies. First, dive into a Hong Kong weather agent built with Amazon Nova Act, featuring conversation flow design and meteorological data integration. Watch a live demo showcasing natural language interaction for weather information retrieval and trend analysis. Next, discover a mathematics teaching AI agent developed using the Strands Agents framework, demonstrating personalized math video creation through automatic content generation. Both cases include comprehensive code demonstrations, providing developers with concrete references for AI agent application development on AWS.
What this session is about
Playbook
Editorial commentary · what to actually do about this on Monday
The concept
Practical agent patterns with Amazon Nova Act + Strands SDK. Two case studies referenced: a Hong Kong weather agent (conversation flow design + meteorological data integration) and a mathematics teaching agent (description cuts off).
Why it matters
SDK choice meaningfully shapes agent design. Strands is the AWS-blessed path; using it gets you the integrations and the support relationships, at the cost of less framework flexibility than alternatives.
The hard parts
Conversation flow design is where most demos fail in production. Happy paths look great; recovery from misunderstandings, ambiguous queries, and context loss is where the work is.
Playbook moves
(1) Look at conversation flow design first — that's where most demos fail. (2) Pay attention to how the demo handles edge cases (ambiguous queries, missing data, follow-up questions). (3) Map the SDK's strengths to your use case before adopting.
The surprise
The Strands SDK pushes you toward stateful conversation patterns by default. That's the right default for most assistant-style agents but the wrong default for stateless task-running agents (e.g., classify this document, extract these fields). Know which kind you're building before you start; the architectural commitment is real.
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Independent editorial perspective — not an official AWS or speaker statement. Designed for executives evaluating what to brief their teams on next.
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