/plushcap/analysis/langchain/langchain-ux-for-agents-part-2-ambient

UX for Agents, Part 2: Ambient

What's this blog post about?

The text discusses the concept of ambient agents, which are AI systems that work in the background without requiring users to proactively engage with them. It argues that this approach can lead to more efficient task handling and increased user tolerance for longer completion times. To build trust with users, it suggests displaying all steps taken by the agent and allowing users to correct the agent when necessary. The text also explores how agents can integrate human input when they encounter tasks they cannot handle autonomously. Overall, the author is optimistic about the potential of ambient agents in enhancing human capabilities.

Company
LangChain

Date published
Aug. 2, 2024

Author(s)
-

Word count
957

Language
English

Hacker News points
None found.


By Matt Makai. 2021-2024.