@mstockton: Dynamic workflows are interesting. I haven’t used them intentionally that much, but some of the core concepts resonate.…

X AI KOLs Timeline News

Summary

A discussion highlighting the use of dynamic workflows and graph-based approaches with LLMs to manage context and avoid confirmation bias in agent interactions.

Dynamic workflows are interesting. I haven’t used them intentionally that much, but some of the core concepts resonate. I specifically liked this image from the post. One of the best ways to use LLMs is through graphs with uncorrelated starting context, and these six workflow patterns give some great examples of that. For example, something like adversarial verification can work well *because* you are using a fresh context window. If you ask the existing agent (with the existing context window) to check its work, there is often going to be confirmation bias. Being thoughtful around what context needs to travel along the edge of your graph, and *why* is super critical. Even with these amazing tools, attention is a delicate thing
Original Article
View Cached Full Text

Cached at: 08/25/26, 02:13 PM

Dynamic workflows are interesting. I haven’t used them intentionally that much, but some of the core concepts resonate. I specifically liked this image from the post.

One of the best ways to use LLMs is through graphs with uncorrelated starting context, and these six workflow patterns give some great examples of that.

For example, something like adversarial verification can work well because you are using a fresh context window. If you ask the existing agent (with the existing context window) to check its work, there is often going to be confirmation bias.

Being thoughtful around what context needs to travel along the edge of your graph, and why is super critical. Even with these amazing tools, attention is a delicate thing

Similar Articles