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.

newest first · ▶ plays the moment

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

You'll have the golden data set for evals.

You'll make sure that it improves over time.

But you'll also start understanding, okay, this is what we talked about earlier, Greg.

looking at cheaper models for subtests, looking at less SOTA, less frontier models, can we get this job done with a Gemini Flash?

Or can we get the job done with a Muse Spark?

Or probably not a Llama 4, but there's other models that can be a good fit there.

This is where you start to do more of this test, which is

We have an agent now.

Now let's try to optimize it.

Let's try to measure, okay, how much is it really moving the needle?

If I deploy this in production, how much time am I saving?

How much risk am I mitigating?

How much revenue uplift do I have?

There's only three buckets of measurement that matter for a business.

It's those three.

Revenue uplift, risk mitigation, and cost savings.

So you need to measure your agent across all three of those buckets.

And at this checkpoint, you have an evaluated agent with known failure modes, measured costs, and a golden data set.

And the final week is defend the system like an FTE, which is all of the business around it.

It's the pain points.

Showing 461–480 of 546 · page 24 of 28