You can give most of the modern LLMs pretty darn good context and they will still fail. Our company has been deep down this path for over 2 years. The context crowd seems oddly in denial about this
What are some examples where you've provided the LLM enough context that it ought to figure out the problem but it's still failing?
if prompting worked then we would have reliable multi-step agents, the companies that are succeeding like Manus are doing alignment, which is intuitive
We've experienced the same - even with perfectly engineered context, our LLMs still hallucinate and make logical errors that no amount of context refinement seems to fix.
I mean at some point it is probably easier to do the work without AI and at least then you would actually learn something useful instead of spending hours crafting context to actually get something useful out of an AI.
Agreed until/unless you end up at one of those bleeding-edge AI-mandate companies (Microsoft is in the news this week as one of them) that will simply PIP you for being a luddite if you aren't meeting AI usage metrics.