Topic

Continuous Agent Improvement

Latest viewpoints

Production traces can drive continuous agent improvement

Chase outlines a data flywheel in which teams run agents, collect and curate traces, experiment on the resulting data, and use those findings to improve the system.

Harrison Chase Continuous Agent Improvement Source at 14:39

Trace data can improve every major agent component

Chase says feedback and trace data can be used to update the harness through harness engineering, the model through fine-tuning, and the context through memory mechanisms.

Harrison Chase Continuous Agent Improvement Source at 17:16

Agent improvement can be partially automated from traces

Chase presents LangSmith Engine as an attempt to automate trace curation, issue discovery, experimentation, and suggested changes to prompts, context, or harness code.

Harrison Chase Continuous Agent Improvement Source at 17:30

Leaders

Jensen Huang

CEO, Nvidia

Last interview Sep 2, 2026

Howard Lutnick

Public business viewpoint profile

Last interview Sep 2, 2026

Sam Altman

CEO, OpenAI

Last interview Sep 2, 2026

Elon Musk

CEO, SpaceX / Tesla

Last interview Sep 1, 2026

Julien Bek

Partner, Sequoia Capital

Last interview Aug 24, 2026

Thibault Sottiaux

Engineer, OpenAI

Last interview Aug 24, 2026

Matthew Berman

Influencer, Forward Future

Last interview Aug 24, 2026

David Senra

Podcaster, Senra Show

Last interview Aug 23, 2026

LeAnn Foster

Founder, EUTHENICS

Last interview Aug 22, 2026

Eric Ho

CEO, Goodfire

Last interview Aug 21, 2026