Why 95% of AI Pilots Fail (And How to Fix It)

Tim kicks things off with an AWS agent nightmare that couldn't tell dev from prod, sparking a deep dive into where deterministic pipelines end and true LLM reasoning begins. Using a clever flight-tracking case study, the hosts map out when to use frontier models, local open-weight models, or no AI at all—then connect it all to an MIT study showing 95% of generative AI pilots fail to deliver profit, often because companies treat the API bill itself as a success metric. If you're wrestling with agentic vs. scripted workflows, bloated AI spend, or just an editor that can't keep up, this conversation offers a clearer lens for building with intention.