← All IntelClip / OtherDurable decision logs beat LLM summarization
From Velocity Sickness: What Happens When Your Whole Team Gets 10x Faster — Matt Dailey, Ref. · ≈17:29
“So, when you have this state extracted and you're working from a shared context, you get more parallel agents.”
“A really great solution to that is let's pull out all the decisions up front and agree to them and put them in a place that's durable so that we don't have to have like some LLM summarizing it and maybe picking the wrong things later on.”
What’s in it
- Explains why extracting shared state lets you run more parallel agents
- Pitches a durable decision log instead of LLM-generated summaries
- Shows how agreeing on decisions upfront avoids later misinterpretation
Clip transcript
what we're trying to create in the world. There are also some other benefits. So, when you have this state extracted and you're working from a shared context, you get more parallel agents. It's easier to work with parallel agents. Uh you get this durable decision log. So, something uh that's really powerful. I think a lot of people are thinking about how do we capture all the decisions going into these sessions? A really great solution to that is let's pull out all the decisions up front and agree to them and put them in a place that's durable so that we don't have to have like some LLM summarizing it and maybe picking the wrong things later on. We want to bring that forward so we can save it and refer to it later.
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