Hey everyone,
I’ve been working on an AI assistant called Yeja, and I’m at a point where I need honest validation before going further.
The core idea came from a simple observation:
In real life, we constantly lose small but important details scattered across conversations — preferences, commitments, decisions, and personal context.
Not because they’re unimportant, but because they’re fragmented across:
• chat apps
• notes
• emails
• random messages
Current AI tools are great at answering questions, but they don’t really remember in a useful, structured, long-term way.
So we built an MVP of Yeja — an AI assistant that:
• captures important details from conversations
• stores them as structured memory
• retrieves them later
• and helps the user take the next action
Where I’m unsure right now is not the tech — it’s the real need.
I’m trying to understand:
• Is this actually a painful problem for people?
• Or is it more of a nice-to-have?
• Do users prefer manual memory capture, automatic capture, or both?
• And more importantly: is “memory + action” something people truly want?
If this sounds relevant to you, I’d really value your honest perspective.
How do you currently deal with this problem?
I also made a very short form (5 questions, ~1 minute, optional):
https://forms.gle/jBYsaH6RZVgp33jw9
I’m genuinely trying to decide whether to continue building in this direction or pivot.
Thanks a lot 🙏
Yes. This is already a real pain point. People don’t just need AI that answers, they need one that remembers context and turns it into action. This is the gap tools like Lumi are trying to solve with persistent, structured memory across conversations.