Vas (Vasuman) from Varick Agents

speaker

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.

Trend

recordings per month · last 12 months

Recordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.

Appearances

newest first · ▶ plays the moment

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

But even for tasks where it is non-deterministic, like for example, creating a presentation.

There's a million different ways to do it and

Sort of the beauty is in the eye of the beholder where one thing looks good to me might look bad to you.

Here, it's very helpful to have as much previous data as possible.

Obviously, if you have 5,000 previous presentations to go off of, it makes it a lot easier to create this golden data set of what we think matters.

You can say, always put the logo in the top left, always have larger font of the styling, etc., etc.,

But this is obviously where you'll never get to a perfect result with just evals.

You need human-in-the-loop feedback to make sure that going forward, you at least have a feedback mechanism that improves your harness, if not like post-train or fine-tunes the model that you're working under.

So...

On one hand, get as much data as you can and determine what looks good, what looks bad, identify what matters to you.

But also then always bake in the human loop feedback because even with a good data set, even with good evals, you'll need to have them constantly improved.

And that's where that feedback mechanism comes into play.

Yeah, great question, actually.

Something I probably should have touched on.

We as a company are extremely model agnostic.

So we think our value lies in our ability to be switching from one model to the next and making sure that your accuracy only improves, your cost only goes down, and you're not marrying to one intelligence provider, which we think will be an asset going forward.

You don't want to monopolize your intelligence, your inference layer.

That being said, if I was an FTE today or if I was trying to become the best FTE today, I would stick to one model and one agent building platform.

OpenAI has one, Cloud has one, Agent SDK, etc.

Every single model provider has one.

Showing 241–260 of 546 · page 13 of 28