PurrLearnPurrLearn
AI Agent Engineering

Core Skills

From workflows to multi-agent systems to cost/latency engineering: learn how to make agents fast and cheap without just reaching for a bigger model.

Unit 1
Multi-Agent Collaboration
Orchestration topologies, where multi-agent fits, and the costs and failure modes behind the gains.
  1. 1Multi-Agent Collaboration: Orchestration, Gains, and CostsWhen multi-agent is worth it, and when it's just burning money5 Q
Unit 2
Cost / Latency Engineering
Starting from the two-phase nature of inference, master the engineering levers that save money and time: KV cache, prompt caching, speculative decoding, batching, model routing, and prompt compression.
  1. 1Cost / Latency Engineering: Making Agents Fast and CheapStop thinking 'just use a bigger model' — the real levers live in the architecture and inference details5 Q