Free Lesson
Battle-Tested Guide to Building Multi-Agent Systems in 2026
90 min
Jan 20, 2026 12:00 PM
Virtual (Zoom)
In this video
What you'll learn
Ecosystem & Language Trade-offs
We'll compare Python’s rich research ecosystem and type safety and latency advantages of TypeScript in backend systems
Architectural Trade-offs: SDKs vs. Frameworks
We examine when to use direct SDKs or LiteLLM for low overhead, and when frameworks are needed for complex orchestration
The Anatomy of a Modern Agent
A breakdown of core components of agentic systems, from structured outputs and tool discovery to memory and coordination
Deep Dive: The Big Two Competitors
We compare LangChain/LangGraph and CrewAI using real code to determine which framework best fits your use case
How Agents Connect to the Real World (Action Layer & MCP)
We explore MCP and how it standardizes interactions between agents and databases, local files, and APIs
Why this topic matters
In addition to the topics above, we cover Production, Monitoring, and Deployment, moving beyond localhost to discuss production infrastructure, performance trade-offs, observability, and cloud scaling.
As a result, you’ll have a clear mental model of the AI agent ecosystem and be able to make informed architectural decisions based on complexity, type safety, performance — not tool popularity.
You'll learn from
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Valentine Zavadskiy
Co-founder at evy.so, former co-founder of Narrative BI & Rubyroid Labs
Previously at
