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
I see a future where you can kind of pick up any AI agent and kind of do anything.
Um, but different ones are going to have sort of different like cost and performance trade-offs, and different ones are gonna have like just different ergonomics for like the different types of work.
Where we really shine is 24-7 automation of knowledge work for companies, especially knowledge work for companies that is not like your personal work.
But like something that a company owns.
So if you have, you know, simple example.
You have some like complex invoicing process, say your company.
You don't want to be running that in like your local cowork, right?
You'd like if if you close your laptop and like the company can't invoice people anymore, that's bad.
And you know, you don't want to like put that in open claw and put it on your Mac Mini in the corner.
Because again, if something like trips over the power cord, like, well, you can't run your invoicing.
What you really want is something that's
Running in the cloud and is manageable by many people.
And you have a lot of infrastructure around it to like manage and provide oversight and like you know have audit logs and you have guardrails around the thing and you can control cost on your different agents.
And so there's a lot of like kind of team enablement features you care a lot about.
And that's where we really shine.
And a lot of the the work to make that work well is actually kind of fundamental to the way the agent
So I talked about our context manager.
The reason our context manager is built the way it is is because you want to have triggers.
As sort of regular messages into the agent, which means these agents, if you have an agent that's like running a trigger every time you get an email, that agent might fire, you know, 10,000 times this year.
And so you need an agent that can fire 10,000 times and like still remember things at the beginning of the chat and still behave in a reasonable way.
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