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Series
In this series, I'll explain how I built mezzoic's MultiAgent solution
1. Summary The Problem: Statelessness in Enterprise Workflows Large Language Models (LLMs) are powerful reasoning engines, but their utility in business environments is significantly constrained by their inherent statelessness. In a standard deployme...
I don’t remember the last time I had so much fun building something. The process felt less like writing software and more like assembling a cognitive entity — giving it personality, skills, memory, and the ability to learn and evolve. At times it fel...
Everyone I’ve spoken with about agents asks the same thing: “What about security?” The concern isn’t just technical, it’s governance. If an agent makes a mistake, who’s accountable? If it accesses data, which policies apply? In this article, I share ...
If I had to simplify the work of integrating agents into one phrase, it would be this: Context is everything. The models are powerful, the APIs are stable, but context determines whether your agent feels like a helpful collaborator or a confused chat...
Quick Overview In this article, I explore key principles of agent and tool design — and how they integrate with your backend in ways that can make or break your project. We’ll look at the problem areas that matter most: Why multi-agent systems → whe...
