Sushanth (Shushant) Raman
speaker
542 appearances
1 recordings
1 series
first heard Jul 2026
last heard 22 Jul
Sushanth (Shushant) Raman’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.
Appearances
a voice, a spreadsheet, a PDF, and they could all come in a variety of different formats, it'll still handle it.
So that allows you to kind of deploy it in more environments.
So that's like one part that allows it, that makes it easy for you to have fast time to value while it feels like it's personalized.
The second thing I would say is that the old form of software was like go and write a bunch of logic, but the new form has shifted where there's like a bunch of context that exists.
like it's like if i'm nike and i get an order from sushant versus if i get an order from you i can store a bunch of context about me or you and that context can be retrieved so it's like okay i know that sushant's shoe size is 11. sushant has all these properties and it knows how to retrieve and apply that context in the right point in time
in a way that traditional software might go and suffer and not be able to do that as quickly or rapidly.
So I'd say the context engineering side, the ability for LLMs to deal with unstructured data.
And the third thing is that configuration used to be this thing that you would have to have like these big deployment teams to go and do.
But now a lot of the logic for configuring and personalization can be automated using agents itself.
So when you look at those three properties, you get to a point where everyone's going to have hyper specific agents tailor made for them.
The type of companies that benefit from this are companies where there's variability in kind of client needs.
The thing I actually worry is that there's a generation of AI companies that came into existence in 2022, 2023, 2024, where they kind of looked a bit still like the last generation of SaaS companies where it was a standard product.
easy deployment, and it's almost like you're just going and rinsing and repeating the same product over and over again, those companies might be at risk because if you're one of the customers of them, you're looking at this, you're like, hey, why am I spending $3 million a bill for something that's fairly standardized?
As the rate of software deployment starts to trend towards zero, it's very easy for competitors to kind of come overnight and replicate the same functionality.
It's really easy for you to go and build it.
It's really easy for the labs to kind of go and emulate you as they kind of get deeper into the app layer.
Those companies are most at risk.
The companies least at risk are where there is a industry or some sort of industry where there's a high degree of variability of client needs.
And there's no way that you can deliver one standardized product experiences.
And there's a lot of nuances between delivery types.
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