Pedro Franceschi
speaker
536 appearances
1 recordings
1 series
first heard Jun 2026
last heard 10 Jun
Pedro Franceschi’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 — 1 in all, peaking in Jun 2026 with 1.
Appearances
Then you have the sort of average engineer that is building a few things, but not sort of token maxer to the same degree and probably, I don't know, a 10th of the productivity.
And then you have like the entire rest of the company.
And the entire rest of the company typically
is interacting with AI in what I call like Google search mode way, which is a chat bot with a few MCPs or a G suite equivalent that you, yeah, you have a few tools from Google, but at the end of the day, it's really just like a search.
And I think the, our thesis was, if you think about the value that AI creates for like a token maxer, for example,
A lot of the value comes from the harness.
And the thesis was how to actually build an equivalent harness for other teams that are non-technical.
And our whole sort of thinking behind it was like, that's a lot of what OpenClaw created, which is this ability that you can self-bootstrap a lot of the capabilities of the agent by the way you edit your skills and markdowns and sort of set up the environment around the agent.
And how far can we get this ability for the agent to self-boost travel capability without anyone actually going and coding it by hand?
So the analogy we use internally for, I would say, the sort of the company-wide adoption of AI is we don't believe in the, yes, like give people a few MCPs and let them go.
Because I think what people really want is, in my opinion, is really a way of saying, okay, this is actually a virtual employee almost that has, you know, this on Slack.
It has an email.
I can actually invite it to a meeting, can join a meeting, take notes.
And you're trying to replicate that as much as possible.
So how do you build infrastructure to support that kind of use case?
And I think the harnesses will look a little different, probably more like open cloud than a coding model.
Sounds like a great problem.
And yeah, people forget that cloud code isn't magic.
It's just, it's just literally a harness around the same models we, you can use in an API.
Right.
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