​An Online Build Session with Twilio × She Bytes Back

​Most AI conversations start from zero. You ask a question, get an answer, come back later... and suddenly your AI agent has forgotten everything 😅

​But building agents that remember isn't as simple as stuffing more conversation history into a prompt. As conversations grow, context gets noisy, token usage increases, and agents struggle to retrieve what actually matters.

​So how do you build AI agents that maintain context across conversations, channels and interactions?

​We're teaming up with Twilio for a practical, developer-focused session exploring the architecture behind AI agents with memory.

​Led by Anni Chen, Developer Evangelist at Twilio, we'll go beyond prompting and explore how retrieval, structured memory and orchestration work together to create more useful AI conversations.

​Expect a practical technical demo, real implementation considerations and the opportunity to ask questions throughout.