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 over the last 12 months — 2 in all, peaking in May 2026 with 1.

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"The Cognitive Revolution" · Always Bet on the Models: How Tasklet Puts the Agency in Agents, with CEO Andrew Lee · 22 Oct 2025 podcast

And you could potentially like load those two tools.

tool calls.

So there's a lot of tools, there's a lot of ideas that we're exploring here.

I think this is very much an unsolved problem and uh we're working on it.

So I I suspect like some that something like that could work well.

Um but I don't think it's the right business move for us to try to explore doing that.

And the reason for that is the agent's internal state is only one of the many sources of data that the agent needs to to do its job.

Um so you know, you a if you ask it to do a task, it might need to look through its own state, but it also might need to look through all the many systems.

That you're connected to.

And the amount of data that's connected to those systems is way too big for us to like suck it all in and like put it into this system.

So if we built a system that for internal state managed it super well, but for all the external state, we're sort of still reliant on like whatever those services provide for their search and memory systems, um, I don't think that I don't think it'd be a huge improvement to the overall capabilities of our products.

So we're sort of betting on

Again, betting on the model to say, you know, assume that the memory capabilities never get that great.

Well the model gets smart enough about using those things such that it can kind of you know

figure it out and get really awesome.

And I think that trend has been I I I'm optimistic about this.

And like I would argue that companies that, you know

couple years ago were like, hey, we're gonna we're gonna ingest all the data from all these different systems and build this like awesome AI search product.

Um I suspect now they're looking at this and saying, crap, like if you just take an agent and have the agent reason about how to use legacy search tools, it does almost as well.

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