Use three different AI models to review code or plans: Claude, GPT, and Gemini. Each was trained differently, so they catch different problems. Running the same work through all three gives you what a diverse human review team would, with overlapping feedback plus unique insights from each.
Chapters
One of the things we teach in the course is this idea that I got from Justin of using the three big brains to review a piece of code, or a plan to review a thing. If you get— because most people are just locked into whichever, they're an Anthropic shop, or they're a Codex shop. But if you take your plan, or your pull request, or whatever, and you want to review it, if you get an Anthropic, an Opus, or a Sonnet, a a GPT model, and a Gemini model to all review that artifact, just like how if you have diverse humans on a team, those 3 models are trained with totally different input data, they've got different training weights, they will come back, they will see different things than the others saw. A lot of them will see the same things, but there'll be some overlap, but there'll also be unique things that they see. And that can be a really good way of like playing the averages and giving yourself more information to put into that healing loop to fix the bullshit.