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

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Y Combinator Startup Podcast · "The CEO Must Be the Chief AI Officer" · 10 Jun 2026 podcast

So we focus on that layer, and then we build this thing called CrapTrap, which we open sourced probably about two months ago, which is actually the way we use to secure agents at Braxton production.

And the basic premise is you analyze, you HTTP proxy the entire network boundary of an agent.

And the idea is when a request goes through, that becomes auditable.

And you basically can use another agent to analyze the traffic and create a policy that

to let traffic go through or not.

And surprisingly or unsurprisingly, because these models are trained on, you know, hundreds of billions of web documents, HTTP traffic is actually, I would say probably the way the models reason more so than anything else because they just literally learn on the web.

So the ability of the model to watch like a thousand requests and make sense of what's happening was way higher than we anticipated.

So we actually build that, put that in production at Brex.

And after you record a traffic of an agent operating for a day, you can build a pretty good policy that sets things that should be automatically approved.

And for things that the agent isn't really sure, you can just use an LLM as a judge.

And the LLM determines, is this request something that should be approved or not based on the policy for what that agent should be doing?

So for example, we have like a recruiting agent at Brex called Jim.

Uh, we have a policy for Jim, uh, and you know, all the traffic goes through that same policy and 98% requests go through automatically 2% using LM.

So we sort of got that problem solved to a degree that we got comfortable experimenting much more aggressively and sort of freeing the clock on the enterprise, which is really hard inside a capital one.

So I would say if we found a way to experiment with these things and granted, we don't do.

The most aggressive things with this stuff yet, we don't use it on like, you know,

customer data to the degree that we want one day to do.

And there's boundaries to how we do it.

I don't see any reason why a YC company shouldn't be at the bleeding edge of this stuff.

I think it was just, let's just do one thing really well.

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