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.
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Their wordsIf 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 Engineersthenuancedperspective.substack.com
- 2 days earlier
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Their wordsForward 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?thenuancedperspective.substack.com
- 3 weeks earlier
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Our reading
Prompt, harness and loop engineering build on one another rather than replacing each other.
Their wordsPrompt 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.
- 3 weeks earlier
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Our reading
Claims that AI agents run whole companies are misexplained and create unrealistic expectations.
Their wordsIf 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?thenuancedperspective.substack.com
- 2 weeks earlier
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Their wordsWe’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 & Beyondthenuancedperspective.substack.com
- 19 months earlier
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Their wordsThis 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 Researchthenuancedperspective.substack.com 1st of 4 in this piece
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Our reading
AI influencers who post papers without reading them create a bandwagon of surface-level claims.
Their wordsHowever, 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 Researchthenuancedperspective.substack.com 2nd of 4 in this piece
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Their wordsThe 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 Researchthenuancedperspective.substack.com 3rd of 4 in this piece
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Their wordsNot 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 Researchthenuancedperspective.substack.com 4th of 4 in this piece