... organizing the surrounding information, rather than the prompt itself. Last week, I came to know that it's called Context Engineering. I am curious how others here approach it: How do you decide what information is essential vs noise when building AI workflows? Have you noticed cases where too much context actually weakens the model s output? Would love to know about strategies or templates that worked for you while engineering the model context. Comment from Ashok Nayak

... user, what AI-powered ideas would you love to see on PH? Would love to know your thoughts. Perhaps this will be a good starting point to grow the platform as a community. Comment from Paul Mackenzie(@prmack): @ashok_nayak   @product   @helen9  100% this. The forums are great. But if my product could have a dedicated space that would be great. Feedback, bugs, suggestions. Allow me to foster a community post launch. Comment from Ashok Nayak

... guardrails (and for good reason), but sometimes it feels like it s afraid of getting misinterpreted, almost like a human. How many of you have noticed it? Are you still subscribed to the earlier models? Comment from Ashok Nayak(@ashok_nayak

... picked up indirectlly. So yeah, having a genuine presence on reddit prob helps in the long run, but not like some secret hack. More like you re just joining where the real convos are happening anyway. Comment from Ashok Nayak(@ashok_nayak

... uploading the almost perfect image and writing a prompt to fix the image, yet it does the same aforementioned thing. Has it happened to you? If yes, how did you solve it? All suggestions are welcome. Comment from Ashok Nayak(@ashok_nayak