Recent content by archiepan

A practical understanding of AI Startups starts with knowing what the system does well, where it is unreliable, and how to validate the result. One important area is learning curve. Define what a good result looks like before changing tools or settings, then test one variable at a time so you...

The point about qwen and models is interesting. In practice I would keep the first test simple, record what worked, and only add extra complexity if it solves a specific limitation. It also gives you a cleaner baseline if you want to compare tools or settings later.

When working with Device Help, the biggest gains usually come from treating it as a repeatable workflow rather than a one-off prompt or experiment. One important area is automation. Define what a good result looks like before changing tools or settings, then test one variable at a time so you...