Nufar Gaspar

speaker

2,488 appearances 11 recordings 1 series first heard Oct 2025 last heard 3 Sep

Nufar Gaspar’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 11 in all, peaking in Jun 2026 with 5.

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The AI Daily Brief: Artificial Intelligence News and Analysis · Agentic Loops for Knowledge Workers · 3 Sep 2026 podcast

Similarly with these other folks' hiring and strategy, because autonomy at the end of the day does not have a taste on its own, you probably need to be there to be the final say of that.

Okay, so that's a bunch of examples for what people actually looping.

And if I need to kind of give you the bottom line of the three requirements in order to build a loop, so one, checkable finish line.

Knowledge work only succeeds on loop exactly when you invent a very boring, very checkable finish line.

And a ch boring here, by the way, is a compliment.

So for example, saying I want 200 verified data points is very

Very boring, but very concrete and very machine checkable for you.

Every competitor covered, every claim cited, summary under one hundred and fifty words.

Very boring, very checkable.

And you can think about the equivalent in your domain and you will actually be encouraged to do that in the lab part.

Something like make it insightful is not checkable.

Okay.

There is no way for the agent to converge on make it insightful.

Okay.

We're looking for things that the agent can measure itself.

The second thing that we want to do is to as much as possible have a bounded sandbox.

It's a a space where the loop mistakes are cheap.

So for example, going back maybe to the ad campaigns or to the digital campaigns optimization.

Don't do that on the highest stable stakes and let the agent uh go wild and unless you're okay with the results.

But for example, doing a research in a sandbox or running a specific experiment in a sandbox where if there are mistakes and they are not very costly because we're staying in draft mode or in in a bounded place, that's a a better place for you to run the loop.

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