The ultimate practical guide to Deep Research
👋 Hi, it’s Torsten. Every week or two, I share actionable advice to help you grow your career and business, based on operating experience at companies like Uber, Meta and Rippling. If you enjoyed the post, consider sharing it with a friend or colleague 📩; it would mean a lot to me. If you didn’t like it, feel free to send me hate mail. The release of ChatGPT Deep Research was a huge “aha moment” for me. As a non-engineer, it was the first time that AI automated something end-to-end that was core to my job and that I was good at. Instead of spending hours doing manual Google searches and compiling the results, I could now get a 20-page report in minutes. Mind-blowing. But as always with AI, once I got over the initial excitement, I realized that the results were often pretty rough around the edges. Questionable sources, shaky methodology, barely formatted walls-of-text — you name it, I’ve seen it in a Deep Research report. The potential was clearly there, but it didn’t seem like the p
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