Read · Episode 01
What is an AI harness — and why does it matter more than picking a model?
Robin Leonard and Tobi Webster open Act Without Asking on the shift companies keep missing.
Every AI conversation right now starts with the model. Robin and Tobi's opening argument is that the model is the least interesting decision left to make — it's a commodity, and everyone has access to the same handful of frontier options. The decision that actually determines whether AI does anything useful inside a business is the harness: the scaffolding that connects a model to your data, your tools, and the permission to act.
The episode traces the shift from "AI-enabled" (a chatbot bolted onto existing workflows) to "AI-native" (a business rebuilt around agents that can actually do the work). That distinction sets up the rest of the show — later episodes about multiplayer agents and agent memory both build on the harness idea introduced here.
They also get into cloud vs on-prem hosting and data sovereignty — questions Robin and Tobi argue every director should already be asking before an agent touches customer data, not after.