[stiiv]

Congratulations on the launch! Really intriguing product.

How well would it work for a company that has the kinds of artifacts that you mentioned, but that lacks the quality/precision/accuracy that Hyper might need?

I'm especially thinking about mature companies that don't sell software and that have made a lot of mistakes and memorialized inconsistencies.

Is Hyper just a bad fit for them? Or could there be a path toward refinement and correction that eliminates ambiguities, etc.? For companies like this, Hyper could provide the clarity that such a company lacks day-to-day.

[kanyesrthaker]

appreciate the congrats! This is a good question. The core thesis is that the brain is continually self improving. If your initial information is really bad or messy, then Hyper is going to only be able to start with that. But we provide manual refinement and correction options that will gradually make the brain strictly better. For example, we expose skills like `/correct` via MCP that make explicit, hard corrections against the brain. Over time, the longer Hyper is active, the more refined the knowledge will get. It's a very anti-entropy system :)