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What we learn putting models into real processes — written for the people who have to make them pay back
Some audiences don't answer email or fill in forms — they pick up the phone. What we learned building a voice AI robot that holds natural conversations with farmers and hands organizers only the leads that matter.
How we use language models to turn hundreds of pages of technical documentation into a structured product catalog — and why engineers stay in the loop for every description.
You rarely need new hardware to put computer vision into a working process. What ordinary CCTV and phone cameras can do, where they fall short, and how to design the alerts people will actually read.
Most AI projects that disappoint were chosen badly, not built badly. A seven-question checklist for picking a process where a model returns its cost in 6–12 months.
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We'll tell you whether there's work here for a model and what it takes to put numbers on it. The first conversation comes without a sales pitch