Building retrieval-augmented generation (RAG) applications requires a sophisticated retrieval system, not just vector search and embeddings.

We're creating a better, more human-like customer support experience with AI agents to help users get the support they need efficiently.

We need to ensure that AGI aligns with human values and works for us, rather than against us.

We're excited to explore how to bring the benefits of agents to users and the ecosystem more broadly, focusing on personalization and context.

AI agents represent an opportunity to reclaim energy and focus in product management, allowing for deeper customer engagement and more enjoyable work.

Companies like OpenAI and Anthropic are focused on building Artificial General Intelligence (AGI), not just improving existing AI applications like customer relationship management or search engines.

Retrieval is crucial for AI agents, requiring them to perform lookups for functions and symbols within the code, which is essential for effective operation.

With Ask David, we're providing curated answers, insights, and analytics quickly, enhancing our efficiency without replacing our roles.

At Ramp, we developed a computer-use agent that operates in the background, allowing users to access niche features without seeing the complexity involved.