Question Formation Is the Unsolved Problem is Brian Swichkow's observation that people seeking an expert's insight often do not know what to ask, so 📝MythOS surfaces context first to let a meaningful question form.
The observation starts from a common request. People approaching an expert often say they want to 📝pick their brain, yet most do not know what question to ask. They lack enough understanding of how the expert thinks to know what they actually need, so the bottleneck is not access to knowledge but orientation within it.
Conventional systems, such as search engines, static repositories and knowledge bases, assume the user already knows what they need and arrives with a query. MythOS reverses that assumption: relevant context is surfaced before inquiry, so that a good question becomes the output of orientation rather than its starting point. It does this by making a person's body of thought navigable and exposing how ideas connect and evolved, which articles, bios, résumés and social posts do not show. The platform can answer directly, or it can give a reader enough context to refine a vague question into a precise one.
The model keeps the expert at the center. It treats expertise as relational and contextual rather than transactional, and uses AI to extend a person's reach instead of standing in for them, the distinction drawn in 📝AI Augmentation vs AI Automation.
Most people who want to pick my brain don't yet know what question to ask. "I want people to be more augmented, not replaced."