Who’s still using prompts?

I keep seeing these massive ultimate chatgpt prompt posts all over social media, like we’re still using Chat and other LLMs the same way we did when they first came out. Meanwhile the more I use AI, the less i actually prompt it. Once you use the same AI constantly and build enough context, the way you talk to it starts changing. A new user might carefully explain what they want, give background, specify the tone, format, priorities, and more detailed instructions Meanwhile I’m over here doing stuff like: Reply to this email: make this less stiff. Send an article to chat ‘cap?’ Give it two choices: you pick. Need another document: “same format as the last one.”Send a long screenshot of a conversation: what am I missing here? And somehow it knows exactly what I mean. Obviously detailed prompts still have their place, especially when you’re starting from zero or need a very specific, repeatable output. But I wonder if a smaller group of users is moving away from prompt engineering and more toward context engineering. Instead of cramming everything into one perfect prompt, users gradually build the context: preferences, corrections, examples, recurring workflows, files, memory, eventually connected apps and agents. Then the actual prompt gets ridiculously small. Could the endgame of good ai aren’t getting better at writing prompts? Maybe it’s getting to the point where you barely have to prompt at all. What’s the shortest, laziest prompt you use all the time that somehow works because your AI already knows exactly what you mean? submitted by /u/Ancient_Effective_20 [link] [comments]

Related

• Anyone else feel like ChatGPT is weirdly good at understanding what you mean even when your prompt is messy?
• LLMs are so advanced right now that it's jarring that a lot of people think ChatGPT is just a mere chatbot.
• what do you think most people still dont get about using ai well?

Source: r/ChatGPT | 2026-09-07