“The more they want platforms like this, and I feel this is similar to what happened with the cloud era back in 2012. You will not have cloud adoption till the time DevOps did not take off, and companies like Datadog, Cloudflare, et cetera, didn't help you build applications, you know, for faster, cheaper, more efficient. I think the same is going to happen in AI as well. As more and more teams go to production, you need tools like You know, not just the AI gateway, but multiple other operational efficiency tools that will help you stay reliable, efficient in production. I think that's something that I'm looking forward to in 25, 26 because we're seeing a lot more teams finishing their POC cycles and moving into production with AI.”
quote is from the automated transcript, cleaned for reading:
filler sounds and stutters are removed, nothing is rephrased. names can be misheard
(the analysis reads context, assessments check outside sources). how →
More from Rohit Agarwal
AssertionNot checkable as stated
Agarwal: 90% of production LLM use cases do not use automatic routing
“In fact, I would say in production, 90% of the use cases do not use automatic routing. What they want is deterministic flows. As long as the gateway manages authentication authorization for them, it's perfectly fine. The request hitting A specific model that t…”
Rohit AgarwalFeb 5, 2025▶ 1:53Why every AI Engineer needs an AI Gateway (ft Portkey.ai CEO)
AssertionNot checkable as stated
Agarwal: Gateway-based guardrails reduce latency versus application-level checks
“And again, you can decrease latency massively by building this on the gateway. Rather than building this within your application.”
Rohit AgarwalFeb 5, 2025▶ 9:44Why every AI Engineer needs an AI Gateway (ft Portkey.ai CEO)
Insight
Agarwal: Gateways produce the best LLM metrics without manual codebase instrumentation
“We're saying that the best LLM metrics can be produced directly on the gateway. Without every team having to instrument their own code bases to pick out these metrics.”
Rohit AgarwalFeb 5, 2025▶ 15:01Why every AI Engineer needs an AI Gateway (ft Portkey.ai CEO)
Insight
Agarwal: AI telemetry cannot standardize while underlying APIs change monthly
“Standards usually evolve when there's some amount of coherence and stability in an API. I think the APIs themselves change every month. So I'm not sure how there's going to be standardization that occurs.”
Rohit AgarwalFeb 5, 2025▶ 17:28Why every AI Engineer needs an AI Gateway (ft Portkey.ai CEO)
Insight
Agarwal: Successful LLM feedback loops map directly to business metrics
“I think the teams that have been successful is when they're mapping these feedback metrics to a business metric that they track.”
Rohit AgarwalFeb 5, 2025▶ 22:53Why every AI Engineer needs an AI Gateway (ft Portkey.ai CEO)
PredictionNot checkable as stated
Agarwal: MCP will become standard way agents connect to services
“I think the future of agents, the way they connect to different services is going to be MCP.”
Rohit AgarwalFeb 5, 2025▶ 26:58Why every AI Engineer needs an AI Gateway (ft Portkey.ai CEO)
Made with StarZero
Turn any episode into a week of clips.
This entire site, over 200 episodes transcribed, diarized, checked and made playable,
runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the
moments worth sharing, cuts them, captions them, and reframes them for every feed.
We use essential cookies to make the site work. With your permission we
also use analytics cookies (Google Analytics and Mixpanel) to understand
usage and improve StarZero. See our Cookie Policy.