Automating Your Workflow Correctly with Stefan Kalb | Thinkspace

Anyone can vibe code an automation that works on their laptop. Getting it to work in production, where a real team depends on it, is a different problem.

Most automations don't break because the model is weak. They break because the AI is missing context. It doesn't know how your team actually operates, what the real workflow is, or the unwritten rules that make the process work. So it builds something plausible that turns out to be the wrong thing.

The fix is the context layer. When an agent can see how work actually happens, it builds the right thing the first time, and it keeps working after you ship.

Stefan Kalb founded Shelf Engine which used AI forecasting systems across 10,000+ store locations. After selling his last company, Stefan founded Latch, which captures how teams work and feeds that context to AI agents. He'll walk through how to automate correctly by getting the context layer right, and how a small team can punch above its weight without everything falling apart a week later.

Come if you're putting AI to work at your company and want it to still be running next month.