Your Company Should Train Its Own AI Models - Will Brown, Prime Intellect

Agents relearn the same things every session because the knowledge that runs a company never gets written down. Will Brown of Prime Intellect makes the case for training models on your own traces, feedback and workflows, so they learn on the job the way human coworkers do. He covers evals as test cases, decision models and routing, and widget-style interfaces that turn your decisions into training data. He ends with nightly training runs and an example model trained for about $300K. 0:00 Intro 1:21 From chatbots to AI-native organizations 2:33 What Prime Intellect builds 3:45 The knowledge that never gets written down 5:43 Why agents relearn everything 7:25 What goes in context vs. in the weights 8:06 The game of telephone behind frontier training 11:15 Evals as test cases for your model 12:43 Routing and decision models 15:11 Interfaces that turn decisions into training data 17:27 A $300K model for knowledge work 18:35 Nightly training runs 19:19 The self-improving organization Will Brown, Prime Intellect: https://www.primeintellect.ai Join us in SF for the second annual AIE CODE summit: https://aie.codes our last flagship summit of 2026. Applications live now!