Agentic Orchestration
Workflows vs Agents
Learn when to use deterministic workflows vs autonomous agents. Build both approaches and compare their tradeoffs.
You have a task: route customer inquiries to the right department. You could write a series of if/else statements, or you could ask an LLM to figure it out. Which approach is better?
The answer depends on your constraints—and most engineers get this wrong. Agents are powerful, but they're also expensive, slow, and unpredictable. This tutorial teaches you to choose the right level of autonomy for your problem.
We'll build the same routing task both ways and measure the difference.
What You'll Learn
- The spectrum from chains to multi-agent systems
- Build a deterministic workflow that routes by keywords
- Build an agentic router that uses an LLM to classify intent
- Compare cost, latency, and accuracy
- A decision framework for choosing the right approach