One thing GPT-6 Astra does differently for me

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I've been spending some time using GPT-6 Astra, and i noticed something I find more interesting than usual "is the new model smarter?" discussion.
I'm finding myself giving it more context before asking it to do something, rather than trying to break every task into small prompts.
That got me wondering whether newer AI models are actually changing the way we work with AI, rather than simply improving the answers we get.
For people who have tried Astra:
Has a newer model actually changed the way you structure your prompts, workflows, or projects?

I'm particularly interested in real examples rather than benchmark results.

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I think a detailed context is still very important. When starting a new project that will have a lot of steps, a plan should be very descriptive. Otherwise it will just guess at what you want.

Exactly! I’ve noticed that too. A capable model still needs the right context to understand the bigger picture. I’m also curious whether you prefer giving AI the full project context upfront or building it gradually as you work?