Building useful AI agents for real businesses
Where autonomous and assisted AI workflows create measurable value, where they fail, and a practical sequence for getting from pilot to production.
Insights
What we are learning while building AI, data and software systems for real businesses. Written to be useful, not to sell.
Where autonomous and assisted AI workflows create measurable value, where they fail, and a practical sequence for getting from pilot to production.
Why reporting rarely changes decisions, how defining each metric once fixes the trust problem, and where forecasting belongs in a growing business.
The handful of engineering choices, made before the first screen, that decide whether a product is still pleasant to change years after launch.
Describe the problem in a few lines. We will tell you honestly whether it is an AI, data, automation or software problem, and what a sensible first step looks like.