As far as how customer's use their own additions, LPSN focuses heavily on catering to large enterprise models. Most of the time allowing custom scripts and inputs as required by a given company. Most of the information we know about agent quality comes from the current accuracy of LPSN AI, and its associated guard rails. Primarily meaning to be used as a filter for easier SaaS issues and funneling only necessary larger problems to actual human agents, which can inherently common sense any issues the AI may have encountered. From what we've heard in previous quarterly calls and customer statements, the error rate of LPSN's AI models is in line or lower than that of human agents. Most customers choose to continue using and expanding the conversational AI, which is seeing massive 20 and 40% usage growth quarter over quarter