17/09/2026
You ask an AI agent to do something, but the result isn’t quite what you expected.
Sound familiar?
A smarter AI model doesn’t automatically mean better results.
Give the same instructions to different agents, and they may each come up with their own “right answer.”
So how do we make AI agents more reliable—and turn them into something that actually delivers results?
One answer is Agent Harness.
It’s about designing more than just the AI itself: the processes, standards, quality checks, risk guardrails, and human oversight that guide its decisions.
In this article, we explore how Agent Harness Architecture can help turn “smart AI” into a system that delivers.
Read the article:
When AI results stay in individual hands, the cause is not model performance but the absence of a Harness — the container that gives AI its purpose, constraints, references and checks. One Harness is not enough: they are needed upstream in experience strategy and touchpoint planning, and downstrea...
