Free Training
Master AI Architecture Like Top 1% of AI Engineers
Most developers are still figuring out how to design reliable AI systems using agents and workflows.Get instant clarity so you can build production-grade AI systems in 2026."All essential topics in an AI Engineer's toolkit."
- Jerry Liu
CEO, LlamaIndex
Most engineers are still guessing
how to design AI systems
Are you making these AI system design mistakes?
Over-engineered AI systems
Most developers are still guessing when to use workflows, single-agent systems, or multi-agent systems. They often add autonomy where it isn’t needed, increasing cost and reducing reliability
Why AI apps fail in production
Some can build AI systems that run in demo, but break in production. They don’t understand the real world constraints to build AI systems - including cost, latency and quality.
Poor context management
Some AI apps perform well at first, then degrade over longer conversations because teams don’t account for context limits and retrieval failure modes like “lost in the middle
What you'll learn...
How Top Engineers Build Production-Grade AI Systems
When Workflows Beat Agents
Most problems need deterministic steps, not agents. Learn when adding agents is over-engineering.
When Too Many Tools Hurt Agent Performance
Why too many tools hurt agent performance, and how to keep tool use scoped, reliable, and efficient
Multi-Agent: Necessary or Liability?
The four constraints that justify multi-agent systems and when they create more problems than they solve.
Design for Scale From Day One
Patterns that let you grow from 100 to 10M users without the expensive rebuild.
Meet Your Host
Louis-François Bouchard
Louis-François Bouchard is the co-founder of Towards AI and co-author of the bestselling Building LLMs for Production. He has helped 100,000+ AI engineers grow their skills and advance their careers through courses, newsletters, and hands-on resources.
100,000+ engineers trust Towards AI
Companies we've worked with
