What AI task still feels surprisingly bad in 2026?
We talk a lot about what AI is amazing at now.
But I’m curious what still feels frustratingly unreliable or awkward in real daily use.
Not benchmark stuff.
Real workflow stuff.
For me:
maintaining long-term project context
keeping conversations organized
reliable multi-step execution
not losing useful outputs across chats/tools
AI got insanely good at generation.
But I still feel like “AI workspace / memory / continuity” is weirdly unfinished.
What still breaks for you?