Vas (Vasuman) from Varick Agents

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546 appearances 1 recordings 1 series first heard Jul 2026 last heard 20 Jul

Vas (Vasuman) from Varick Agents’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 Jul 2026 with 1.

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The Startup Ideas Podcast · FDE: The $1M/Year AI Job Explained · 20 Jul 2026 podcast

But I will say a large majority of the time, it is on site.

I know that Palantir does this very heavily.

We do this as well.

And it's not just because you can't get the information remotely, but it's actually more so because

the relationship that you build with the person, like, you know, you're on site, you're part of the team, you'll uncover far more information that way, right?

Like if somebody will, if you schedule a one hour meeting, for example, somebody will walk you through what they think is the job.

But if you're on site with them for the full eight, 10 hours, whatever it is, you're actually experiencing the job.

Like when something goes wrong, that's not really documented in an SOP or in like a, in a Word doc or a Google doc somewhere, you're going to see that play out.

You know, even consultants at McKinsey, they do this, they'll go on site to a mine and they'll sit with the miners and they'll watch them do their work because it's so much more powerful to establish that relationship and get the information that way.

Cool.

Yeah, the second step is FDA judgment, which is where does intelligence belong and where does it not?

I think when the AI wave first started, we saw a lot of, you know, let's just slap AI everywhere.

Let's give everything to the model and let's let it figure it out.

And this is what led to token maxing and hallucinations.

And you have the MIT stat that 95% of generative AI pilots fail.

Again, now the industry is sort of shifting gears and they're realizing that

okay, we actually need to be very selective about where we apply this intelligence.

And we also need to be selective about how we design the new stack for this intelligence to play out.

So again, for example, you have a 10-step workflow.

It might be that that workflow should not be changed by AI.

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