video1.0<iframe src="https://www.loom.com/embed/d08c5b76fc00468785fcdd9af516d241" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/d08c5b76fc00468785fcdd9af516d241-11a1bae61964896a.gif349.942In this video, I experimented with the LineGraph Studio using two different agents: a simple agent that provides direct responses and a helpfulness agent that checks the quality of its answers. I demonstrated how the simple agent responds to queries, like the current Bitcoin price, by invoking a Tably search and returning results based on scores. The helpfulness agent, on the other hand, loops through iterations to refine its answers if the initial response is deemed unhelpful. I also discussed the possibility of introducing interrupts to enhance the interaction flow. I encourage you to explore these features and consider how they might improve our processes.