Agents were the big story going into 2026. Here is a practical assessment of the kinds of tasks where they earn their keep, and the ones where supervision is still essential.
Many AI projects stall because nobody can say whether they are working. A simple measurement plan, set up before you start, fixes that.
Benchmarks and debates about machine intelligence miss the question that decides whether AI helps you: how often does it get your task right, and can you tell when it has not?
The flashiest AI demos get the headlines. The quiet, dependable features that save ten minutes a day are doing most of the real good.
A well-built AI assistant can answer routine questions instantly. A badly built one can frustrate customers and even create legal liability. Here is how to get it right.
You do not need a data science team to get value from AI. Start with the repetitive work that eats your week, pick low-cost tools, and measure what changes.