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I don’t need a formal report on how to make a meal that takes 10 minutes to compile.
This isnt the kind of dish you might just throw together on a weeknight.
Its a time-consuming, multi-step process that requires patience and precision.
If there was ever a meal where Deep Research might prove useful, this was it.
I asked both models:Can you give me a simple recipe for kosher Beef Wellington?
Regular ChatGPT responded almost instantly with a straightforward, well-structured recipe.
It was exactly what I needed in a recipe.
Deep Research took a full ten minutes and had a very long, complex mini-cookbook centered on the dish.
If I’m honest, I loved it as a piece of trivia obsession.
Regular ChatGPT gave me a quick and clear answer.
It broke things down into screen size, resolution, display key in, smart features, and ports.
Again, this was all incredibly informative, but entirely unnecessary for my purposes.
Still keeping it brief, I asked,How does a telescope work?
Regular ChatGPT responded instantly with a simple, digestible answer.
Telescopes gather and magnify light using either lenses (refracting telescopes) or mirrors (reflecting telescopes).
Deep Research gave me a report of a kind I might have written in high school.
It was answering questions I hadn’t asked.
Still, a couple of sentences about mirrors would have been just fine in the moment.
The reports it generates are detailed, well-organized, and surprisingly well-written.
Sometimes a shallow dip is preferable to a deep dive.
Sometimes, less is more.
But for everyday things, Deep Research is just doing too much.
