How to Build an Internal AI Agent That Evolves Itself

AnswerThis builds AI agents for evidence-based scientific workflows and has scaled past $2 million in ARR with just two full-time employees — largely because they built an internal AI ops agent that processes over 100 emails a day, closes support tickets, and updates their CRM automatically. In this recent batch talk, founder Ayush Garg breaks down the architecture of a self-extending agent that builds its own tools when it encounters tasks it can't handle yet, how his non-technical co-founder trains the agent by giving it feedback in Slack, and the three types of memory — factual, behavioral, and procedural — that any founder can copy to build an internal agent for their own business.