Agentic AI / LLM System Design Session

This session is for anyone looking to understand or build agentic AI systems using LLMs.

If you’re unsure how agents actually work in production, how to move beyond basic RAG, or how to design real-world multi-agent workflows—this will give you clarity.

We stay practical, focusing on real system behavior, not just concepts.

What we can cover:

1. How agentic systems work (planning, memory, tool use, orchestration)
2. When to use agents vs RAG vs fine-tuning
3. Designing multi-agent workflows and architectures
4. Tool integration (APIs, retrieval, function calling)
5. Scaling and deploying agent-based systems
6. Improving or debugging your current agent/project

Bring a use case, agent idea, or system you’re building—we’ll design and refine it together.

Focus is on clarity, trade-offs, and real-world execution—so you understand not just what to build, but how and why it works.