Ashwin Sreenivas

speaker

310 appearances 1 recordings 1 series first heard Jul 2026 last heard 31 Jul

Ashwin Sreenivas’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 a16z Show · How Enterprise AI Really Gets Deployed · 31 Jul 2026 podcast

Because ultimately, at the end of the day, the thing that we built and we kind of built this intentionally from the start was not an agent that does customer support well, but rather an agent that follows business process well.

And executing on operational workflows, doing sales lead qualifications, answering customer support questions.

At the end of the day, it's just an agent following a business process.

And we kind of built it flexibly enough to kind of do all these things because we realized that at a certain point, the models are going to get better and they have.

It is specifically the ability to follow instructions well, right?

So when you had models, you know, let's say a few years ago, you'd have to give it very, very tight guidance, very specific instructions that you didn't want it to deviate from.

And as the models got smarter,

you can kind of give it broader and broader guidance, bigger and bigger instructions, and just trust that the models have good enough sense to interpret it like a human would and kind of fill in any missing gaps, right?

Because for, again, for customer support, you can have a very tight path that a model should follow, and that's all you really need.

Whereas for sales qualifications, you kind of want to ask open-ended discovery questions.

The conversation is going to kind of bob and weave.

And so you need the model to kind of fill in with reasonable things.

So that's specifically kind of what the model got better at over the years.

It's actually like people.

We are voracious consumers of tokens, but we always love more great people.

I think there's so much to build these days.

We are a voracious consumer of tokens.

Our token bills are very, very large.

But, you know, there are still things I don't quite yet think we're at the point where we can have the AI agents make decisions on what to build and kind of have that.

the taste of is this done yet, right?

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