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 months

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

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"The Cognitive Revolution" · Three Kinds of Software Survive: Tasklet's Andrew Lee on Competing to be a Horizontal Platform · 15 May 2026 podcast

So I think there's a lot you can do there.

I think another area is having like oversight and like uh and like logging and stuff, so you actually have the ability to like have a human in the loop in places where it matters and do that in smart ways.

And so like with our product today, like you have to activate tools.

So one of the things that we're gonna add in soon is the ability for you to like have some tools that you approve every run.

So in our case for email is the best example of this, where like people

Are pretty confident to say, hey, you could read my email as much as you want.

You could make as many drafts as you want, but you can't send anything unless I say yes.

And we want to get to the point where, you know, that is really ergonomic.

So for example, like it can send you a push notification and it's ready to send an email, where it's like, it'll go crazy reading and searching and making drafts.

And then when it's ready to send, you get a push notification, it's like, hey, do you want to review this before it goes?

And then you can say yes.

And that's all like pushed to you.

So I think permissioning can be another big area.

I think another big area is using code better and in a more like MIC way.

So, you know, let's set let's take data migration from like one system to another.

The naive way to do this is to like load that data through an API, feed it into the LLM, have the LLM then like

Call some tools to like put it somewhere else.

And basically when you do that every time you're sort of like putting it through language model context and trusting it to like not hallucinate and like reproduce that data, which like I think the models get better at over time, but like it's very hard to like have a lot of confidence there.

The better way to do this is have the model just like generate a migration script um and then run the migration script.

And that gives you like an artifact in the middle.

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