Building Production-Ready AI Agents
A technical deep-dive into designing, implementing, and deploying reliable agentic AI systems at scale.
This technical session provides an in-depth exploration of the engineering principles, architectural patterns, and operational considerations required to build production-ready AI agents. We cover the complete lifecycle: from workflow orchestration and tool integration via Model Context Protocol (MCP), to context management beyond simple RAG, programmatic prompting strategies, observability frameworks, cost optimization, and safety guardrails. Attendees will gain practical insights into building agents that are not only powerful but also auditable, scalable, and maintainable in real-world production environments.
Overview
This technical session provides an in-depth exploration of the engineering principles, architectural patterns, and operational considerations required to build production-ready AI agents. We cover the complete lifecycle: from workflow orchestration and tool integration via Model Context Protocol (MCP), to context management beyond simple RAG, programmatic prompting strategies, observability frameworks, cost optimization, and safety guardrails. Attendees will gain practical insights into building agents that are not only powerful but also auditable, scalable, and maintainable in real-world production environments.
Thank you for your interest in this talk. We look forward to seeing you!
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