Multi-Agent

This post contains affiliate links. I may earn a commission at no extra cost to you. Single-agent prompting is well-documented. Multi-agent prompting is not—and the failure modes are completely different. When agents hand off to each other, a vague instruction that would produce mediocre output from one model can cause catastrophic failures across a pipeline of five. This guide covers the prompt engineering patterns that actually work in production multi-agent systems, with examples drawn from running a real multi-agent orchestration framework. ...

This post contains affiliate links. I may earn a commission at no extra cost to you. Choosing an AI agent framework in 2026 is a real engineering decision with real consequences. Pick the wrong one and you spend weeks fighting the abstraction instead of solving your problem. Pick the right one and your team ships working agents in days. This is not a “let me summarize the README” comparison. I have built production systems with three of these frameworks, integrated a fourth into an existing pipeline, and tracked how all of them have evolved over the past eighteen months. The verdict table at the end reflects measured trade-offs, not marketing claims. ...

This post contains affiliate links. I may earn a commission at no extra cost to you. If you have ever watched a single AI assistant struggle with a complex, multi-step project—losing context, making contradictory decisions, or simply hitting token limits—you already understand why multi-agent systems matter. In 2026, the question is no longer “should I use AI?” but “how do I make AI work reliably at scale?” This guide walks you through building a production-ready multi-agent system using Claude. Not theory. Not toy examples. A real architecture that you can run today, with actual code extracted from a live system. ...