From the course: Agentic AI: Build Your First Agentic AI System
Join today to access over 25,600 courses taught by industry experts.
Cost-complexity-reliability trade-offs
From the course: Agentic AI: Build Your First Agentic AI System
Cost-complexity-reliability trade-offs
So far, we've talked about how to identify agentic opportunities, choose autonomy levels, and iteratively build and calibrate systems using the CCCD framework. We also went over how you could do this actionably for a real-world use case with agentic customer support. In this chapter, let's zoom out and talk about the trade-offs that you're constantly making when designing real agentic AI systems, especially as the autonomy increases. Now, every agentic system sits at the intersection of cost, complexity, and reliability. You don't get to maximize all three at the same time, so the real skill is in knowing which one you're prioritizing and why. Let's understand these three dimensions in much more detail. Cost includes things like token usage, compute, API calls, and infrastructure costs. Complexity refers to how many components you have, how many agents are involved, and how many reasoning steps the system takes. Reliability is all about predictability, explainability, and consistency…
Download courses and learn on the go
Watch courses on your mobile device without an internet connection. Download courses using your iOS or Android LinkedIn Learning app.