The Real Agent Story Is Reliability, Not Capability — and Two New Studies Prove It
A Microsoft test across 507 workflows and a taxonomy of 150 production incidents both reach the same conclusion: agents fail at the seams between components, not inside the model.
Beneath the week's capability hype, two pieces of research quietly reframed the entire agent conversation around a less flattering metric: consistency. Microsoft tested AI agents across 507 business workflows, and the takeaway, as summarized by @theyashguptta, cuts to the core of enterprise adoption: "the gap between what a model can do once and what it does every time is the whole story." A demo that works in a keynote is a parlor trick. A workflow that works on the ten-thousandth run is a product.
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