Over the past few days, our team has pushed through a massive amount of work on A.V.E.L.I.N. This is a crucial stage where the product changes very little on the surface, but internally, we’re implementing dozens of architectural decisions, refining core logic, and running extensive tests.
A.V.E.L.I.N is learning to understand not just words, but intent. It can already select the most effective model for a given context and analyze queries from voice and video, not only text. We are intensely focused on making the interaction feel fluid and organic.
At the same time, we’re making other critical moves:
- We simplified the core architecture to increase development velocity. Simpler is always more resilient.
- We are continuously testing A.V.E.L.I.N’s behavior under real-world load to ensure it doesn’t lose composure when faced with a stream of messages.
None of this work is about adding features for a checklist. It’s all done to create the feeling that you have an assistant in front of you that doesn’t need to be told twice.