Chapters
01
Moving AI Agents from Hype to Engineering Reality: Finding Your Sweet Spot in the Architectural Spectrum
Don't jump into multi-agent systems just because they look advanced. Let's talk about the five levels of Agents and why in 2026, defining 'boundaries' is more critical than enhancing 'capabilities'.
02
L1 & L2: Teaching AI to Be Precise, Not Just Prolific
This post breaks down three retrieval failure modes in L1/L2 architectures, the engineering behind routing determinism, and one of the most underrated system capabilities out there — knowing when to refuse.
03
L3: From Talking to Doing — Giving Agents the Ability to Act and Guide Dynamically
Moving beyond conversation to real-world action. How L3 Agents use controlled tool calling and dynamic guidance to evolve from 'verbose task encyclopedias' into 'effective digital workers.'