How to think about agent frameworks TL;DR: * The hard part of building reliable agentic systems is making sure the LLM has the appropriate context at each step. This includes both
How do I speed up my AI agent? I get this question a bunch. Developers generally first spend time getting the agent to work, but then they turn their attention to speed and
MCP: Flash in the Pan or Future Standard? Model Context Protocol (MCP) is creating quite the stir on Twitter – but is it actually useful, or just noise? In this back and forth, Harrison
Communication is all you need “What we’ve got here is failure to communicate” - Cool Hand Luke (1967) Communication is the hardest part of life. It’s also the
Memory for agents At Sequoia’s AI Ascent conference in March, I talked about three limitations for agents: planning, UX, and memory. Check out that talk here. In
UX for Agents, Part 3: Spreadsheet, Generative, and Collaborative UI/UX Learn about spreadsheet UX for batch agent workloads, Generative UI, and collaborative UX with agents.
UX for Agents, Part 2: Ambient This is our second post focused on UX for agents. We discuss ambient background agents, which can handle multiple tasks at the same time, and how they can be used in your workflow.
UX for Agents, Part 1: Chat At Sequoia’s AI Ascent conference in March, I talked about three limitations for agents: planning, UX, and memory. Check out that talk here. In
Planning for Agents The fourth installment in our "In the Loop Series," in which we talk about what planning means for an agent and how to improve it.
Why you should outsource your agentic infrastructure, but own your cognitive architecture In this third installment in our "In The Loop" series, learn why you should tailor your cognitive architecture to be application-specific, alongside running better infrastructure for your agentic apps.
What is a "cognitive architecture"? The second installment in our "In the Loop" series, focusing on what cognitive architecture means.
