Andrew Lee
speaker
2,833 appearances
3 recordings
1 series
first heard Mar 2025
last heard 15 May
Andrew Lee’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 2 in all, peaking in May 2026 with 1.
Appearances
But what I think now's the time.
I think we've gone through that transition from you know, you have a workflow that defines step one, step two, step three, step four, and maybe there's some LL calls inside it to what if you just let the agent plan the whole thing?
Um and the advantages you get out of this are.
Tremendous because uh let's say you run into an error state.
In a workflow product, if you don't have a way to handle the error state, it just breaks.
In an agent product, it just kind of figures it out, works around it.
It can handle nuance much better.
And also, as you mentioned, it's just a whole lot easier to set up.
Um, and so we've been trying to say, hey, we're gonna bet on the models.
Um, some of our workflow competitors have kind of done a hybrid solution where they
say we're gonna have an agent for the purpose of creating the workflow.
So like if you use if you use string, this is the approach of string, but the output of that is still a workflow.
And so it's fairly constrained at what it can do.
And we're saying, hey, not only are we going to have the the setup portion be an agent, but the actual implementation is going to be an agent as well.
Yeah, what I what I mean that on the models, what I what I really mean here is what is the you know, what is really in control of what's gonna be happening, right?
So one approach is to have a workflow where the thing is that is in in control is traditional software and you as the user define the steps and it goes through some sort of flow chart and maybe within those boxes there's some LLM calls, but but the overarching control is done by
By traditional software versus if you put the model in charge, the models in charge, the model makes the big decisions.
And then within what's happening with the model, you might have traditional software writing to like execute the tools.
And so it kind of inverts the problem.
Rather than having software wrapping LLMs, you have LLMs wrapping software.
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