When I’m doing strategic work or complex research using AI, it’s almost never a one-and-done process. I don’t just drop a single prompt into ChatGPT and call it a day. Not even close. Deep Research is typically my go-to when I’m using AI to think strategically (even if on the surface I'm not doing actual research) for something that really matters. And I’ll typically run the exact same prompt in both ChatGPT Deep Research and Google Gemini Deep Research. I run ChatGPT first, answer the clarifying questions, and incorporate relevant answers back into my prompt when I put it in Gemini since it doesn't ask clarifying questions. (Side note: if you only have one tool or the other, you can just do two Deep Research chats simultaneously in separate chats - just realize in ChatGPT you may be limited in how many you get a month, depending on your account type.) I study both outputs. Not just for answers, but to see the direction each model takes. Then I’ll tweak my prompt based on what the outputs are, and rerun it again in both tools. Each round refines my thinking and expands the perspective I’m working from. Sometimes I’ll even “stack” the research - meaning I start with one Deep Research prompt run in both models, look for the interesting or unexpected insights that surface, and then build a new prompt based on those discoveries to go even deeper down that path. It’s an iterative process that compounds in quality and depth with each round. For projects that really matter (the kind where the output has to be exceptional or the stakes are high), I rarely rely on just one platform, or one pass. Sure, a single run can produce great results. For something low stakes or rushed I can still get good results from one Deep Research run. But when I give myself multiple high-level outputs to analyze, combine, fact-check, and refine, the final output gets sharper and more multidimensional. It feels like bringing several brilliant expert minds to the same table. Each offers their own reasoning, insights, and angles. And then, with all that input, I'll synthesize the best of all of them. Like when a leader gets input from their team and advisors, and then makes the final call about what direction to go. Except my team and advisors in this context are AI. And I (the human) make the final call. It doesn’t take that much more time, just a bit more intention in how you use the tools. And, at least for me, the final results when I do this can be really mind-blowing. And when what I'm doing REALLY matters, it's worth the extra effort.