On demand
How Warp builds self improving agents on Claude
Most teams deploy an agent, watch it work, and move on. Warp built something different: agents that study how your team corrects them and rewrite their own skills to do better next time.
Join Warp founder Zach Lloyd and Anthropic Applied AI for a technical look at self-improvement loops: how to capture human feedback signals, turn them into skill updates, and expand agents from one-off helpers into systems that compound across your org. Live demos include Warp’s PR review agent and the social listening bot they use to bring agentic workflows into community management.
Featured speakers
Carly Ryan
Applied AI @ Anthropic
Tina Karraz
Growth AE @ Anthropic
Zach Lloyd
Founder & CEO @ Warp
What you’ll learn
From one-off to org-wide: How to take a single agent use case and turn it into a repeatable automation pattern across teams
Self-improvement loops with skills: Using skills as the substrate for agents to capture, review, and learn from human feedback
Deep dives: PR review agent and social listening: eveloper-focused walkthroughs of how Warp’s agent refines its own review criteria over time
Frameworks you can steal: Warp’s approach to evaluating feedback signals and deciding what the agent should learn vs. ignore