Before you add AI, find the decision it’s meant to improve
Most AI projects stall because nobody agreed on what should get better. Start with one decision, one workflow and one measure, and the technology choices get much easier.
Read the articlePractical thinking on AI, product, design and engineering, written by the team doing the work. No hype, no filler, just what we have learned shipping real products.
Most AI projects stall because nobody agreed on what should get better. Start with one decision, one workflow and one measure, and the technology choices get much easier.
Read the articleThe most expensive features are the ones built before anyone checked they were needed. Here’s how we decide what goes into version one, and what waits.
Spreadsheets, copy and paste, and “just check the other system” feel free. They aren’t. Where disconnected tools leak time, and how to fix it without replacing everything.
If people drift away after the first week, another feature rarely fixes it. The answer is usually in the loop: what brings someone back, and what they find when they return.
Tell us what you are building, or what is getting in the way. We will tell you honestly how we would approach it.