Aishwarya Naresh Reganti
AI practitioner and researcher who has helped build more than 50 enterprise AI products at companies including OpenAI, Google, Amazon and Databricks; founder of LevelUp Labs and author of over 40 research papers.
Aishwarya Naresh Reganti did not write this page. ppll compiled it from their own words, each linked to the source. Is this you? · Report a mistake
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What they believe
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AI evals are the most important skill to learn for AI roles in 2026.
If you’re applying for AI roles in 2026, AI evals are the #1 skill to learn. They come up in interviews, they’re super important for production AI apps, and most beginners misunderstand how they actually work.
thenuancedperspective.substack.comSaid 21 Sept 2026This on korrents
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Forward Deployed Engineer is the most overhyped AI job.
Forward Deployed Engineer is officially the most overhyped AI job out there. There are tons of misconceptions, ungrounded numbers floating around, and influencers have a new favorite topic to create FOMO around.
thenuancedperspective.substack.comSaid 19 Sept 2026This on korrents
The bold line is korrents’ wording; the quote is theirs. These 2: what they wrote before what they said aloud, one per source, newest first.
Beliefs
Korrents What they believe 9 beliefs — each backed by an exact quote.
Each is a — compiled by korrents.com, not by them: the one-line wordings are korrents', the quotes are theirs.
Recent
AI evals are the most important skill to learn for AI roles in 2026.
If you’re applying for AI roles in 2026, AI evals are the #1 skill to learn. They come up in interviews, they’re super important for production AI apps, and most beginners misunderstand how they actually work.
AI Evals: The Most Important Skill for AI Engineers Said 21 Sept 2026
Forward Deployed Engineer is the most overhyped AI job.
Forward Deployed Engineer is officially the most overhyped AI job out there. There are tons of misconceptions, ungrounded numbers floating around, and influencers have a new favorite topic to create FOMO around.
Forward Deployed Engineering: Is It Worth the Hype? Said 19 Sept 2026
Prompt, harness and loop engineering build on one another rather than replacing each other.
Prompt Engineering...Harness Engineering…Loop Engineering, every few months when a new “AI Engineering’ practice gets introduced, it sends people into a panic. Everyone is worried that they are going to have to start from scratch yet again and change everything about the way they have been building with AI. Part of this is because most content out there treats these as disconnected and un-related concepts but in reality they all build on top of each other.
Prompt Engineering to Graph Engineering: AI Shifts Explained For Beginners Said 30 Aug 2026
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Claims that AI agents run whole companies are misexplained and create unrealistic expectations.
If you’ve been reading up on or watching content around AI agents, you’ve probably seen tons of people claiming that AI agents are running entire workflows for them, replacing employees, and operating businesses on their own. Some of that is true. But I think a lot of people end up with the wrong explanation of what’s actually happening, which leads to completely unrealistic expectations around what AI agents can do. And because of that, I see people making the same mistakes over and over again when they try to automate their own work.
Are "Agents Running My Entire Company..." Stories True? Said 7 Aug 2026
With coding agents, writing code is the easy part; deciding, specifying and reviewing are the hard work.
We’ve reached a point where writing code is often the easiest part of the workflow. The harder work is deciding what to build, specifying it clearly, reviewing what the agent produces, catching flawed assumptions, and knowing whether the system is actually ready to ship.
Learning to Code in 2026 & Beyond Said 24 Jul 2026
A single AI paper rarely changes everything; the last one that did was 'Attention Is All You Need' in 2017.
Not every paper with a catchy title offers groundbreaking insights, and that’s perfectly fine. However, as readers, it’s crucial to look beyond the hooks and critically evaluate the substance. And if you don’t have expertise to do so, it’s better to avoid relying on it or adding to the hype. A single paper rarely “changes everything”—the last time that truly happened was in 2017, with “Attention is All You Need.”
The Clickbait Crisis in AI Research Said 6 Jan 2025
Clickbait titles in AI research come from a system that rewards visibility.
The system incentivizes visibility, and these approaches work. Some of the papers I’ve mentioned above are technically excellent and make meaningful contributions to the field. But it’s worth noting that this “clickbait culture” in AI research is a sign of broader changes.
The Clickbait Crisis in AI Research Said 6 Jan 2025
AI influencers who post papers without reading them create a bandwagon of surface-level claims.
However, the less time an influencer spends reading and understanding the paper, the less likely they are to grasp its actual impact. This fuels a bandwagon effect, where readers encounter the same hook, spend even less time reading the influencer’s post (even if it attempts to explain the nuance), and then begin making their own claims based solely on surface-level impressions.
The Clickbait Crisis in AI Research Said 6 Jan 2025
The democratization of AI research is positive but has added noise alongside the signal.
This democratization of AI research is undoubtedly positive, it has accelerated the field’s growth and brought in fresh perspectives. As more people discuss AI as a transformational technology, interest in working in the field has grown as well. However, with the surge in papers, a classic challenge emerges: an increase in noise alongside the signal.
The Clickbait Crisis in AI Research Said 6 Jan 2025
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Recommends rcmnd
rcmnd What they recommend 1 thing — each backed by an exact quote.
Compiled by rcmnd.app, not by them: the quotes are theirs, and each links to the post it was copied from.
Recent
Recommends Silicon Valley
I started re-watching Silicon Valley, and I think it's so true. It's so timeless. Everything is repeating all over again. Anybody who's watched it a few years ago should start re-watching it
youtube.com 11 Jan 2026
Where they publish
Site aishreganti.com Her personal site and blog
Link verified 31 Oct 2026.
YouTube Aish Reganti Her YouTube channel on building with AI
Recent
Link verified 31 Oct 2026. Recent items update automatically from the channel.
GitHub aishwaryanr Her code and AI guides
Link verified 31 Oct 2026.
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