Aishwarya Naresh Reganti

🎉 Releasing a generative AI cheat sheet featuring the most frequently used terms. Check out these terms and their simple summaries to quickly grasp the lingo!

😎 I've distilled the most popular #genai terms into easy-to-understand one-liners. Even if you're not very familiar with machine learning, these terms should be easy to grasp. This cheat sheet is your ticket to join the #genai trend!

🔊 After my LLM lingo series, many folks have requested me to simplify broader concepts of generative AI. Here's what I've come up with!

Happy Learning!

🚨 I post #genai content daily, follow along for the latest updates!

#llms #rag #finetuning

😇 Last Saturday, I had the incredible honor of speaking at TEDxJacksonville and it was an experience like no other.

My talk was about how misinformation is evolving into something we’ve never imagined, thanks to the power of generative AI and social media. I won’t spoil too much—the video will be out soon on YouTube.

But I wanted to share a little of what this 3-month journey taught me, with weekly check-ins, late-night edits, and a lot of heart.

⛳ Storytelling is a whole different ballgame.
I’ve always been super confident when it comes to tech presentations, but this was something else entirely. Explaining complex ideas to a non-technical audience was humbling in the best way. I learned so much about the art of storytelling—how it’s not just about explaining but connecting. Honestly, I couldn’t have done it without the incredible support from the other speakers and coaches who had my back every step of the way.

⛳Coming from the tech world, I often meet people who are in it for the paycheck. But the speakers I met at TEDx really love what they do. I mean, truly love it. Hearing their stories and seeing their passion firsthand made me pause and think, “Wow, am I even good enough to be here?” It was inspiring in ways I didn’t expect.

⛳ Once again, I had to step out of my tech bubble and see just how much curiosity—and how many misconceptions—there are about AI.
People from all backgrounds want to understand it, but they’re overwhelmed by the complexity. This experience reminded me how important it is to simplify these concepts and make them relatable. Platforms like TED do exactly that, and it’s a privilege to help bridge that gap.

⛳️For years, I’ve been firm about not changing my Indian accent—it’s part of who I am, and in the Bay Area, it’s not something I’ve had to think twice about. But this was the first time I had to consider how to make my words as clear as possible for an all-American audience. It was a super vulnerable moment for me, and I’m so grateful to the audience for being so kind and my coach for helping me navigate it with care.

🥳 A big shoutout to my husband Kiriti Badam, who was my sounding board and biggest cheerleader every step of the way. I’m so grateful for all the little (and big) things he does to support me!

Thank you for organizing such an amazing event Jeanmarie Grimsley!

Absolutely loved getting to know these incredible rockstars!
Eries L.G. Mentzer Kady Yellow Dr. Moain Abu Dabrh, Robert Jackson, Desmond Meade Dr. Daniel Stone, Dr. Matthew Thompson, Layla Zaidane Dr. Luyi Kathy Zhang.

Super stoked to be one of the 10 winners to receive the “Top AI Community Contributor” award by Analytics Vidhya!

Moments like this make all the hard work worthwhile.🎉


🤗A special shoutout to my parents, my strongest cheerleaders, who accepted the award on my behalf.

Grateful to everyone who’s engaged with my content and offered constructive feedback 🙂

In 2025, I left my job, moved to SF, started a company, scaled it to mid 7-figure revenue (not ARR, IYKYK 😛) with an extremely small team, built a genuinely thoughtful community of enterprise AI practitioners, and also aged about 5 years in a year! Here are a few lessons from this year that I’ll carry into 2026.

Sharing them here, just in case something clicks.

⛳ Have an unapologetic personality: I spent a good part of my life trying to blend in and behave like the people I met, until I got extremely tired of pretending. This year, with the number of people I met, I've had to have my own personality, own it, and respect it myself first. Only then do others follow.

⛳ Networking is overrated. Leverage is what gets you in rooms: The world is still a huge barter system. Build a unique leverage. Trade with people who have leverage in something else. That’s pretty much how you grow quickly. A long list of shallow connections is of no real use.

⛳ The world rewards visible people more than quiet ones: As a kid, I grew up believing that if you do good work, people will notice. They won’t. You need to find a channel, be vocal, and build a presence. No one will magically find you.

⛳ More money doesn’t calm your mind. It stresses you differently: Coming from a middle class family, I know how important money is and how much it can change your life. This is the year I realized that more money rarely changes you as a person. If you don’t enjoy the journey, no amount of money will make you happy. It can actually get lonelier.

⛳ You get what you have the courage to ask for: A lot of things this year came from stepping out of my comfort zone and asking bravely, instead of thinking maybe it’s not my place or I don’t deserve it. Ask more of yourself. Ask more of the world. Then work relentlessly.

⛳ Everyone says don’t compare yourself to others, no one actually follows it:
What worked for me this year was this: Compare yourself to the right people, on the right dimension. You can’t compare yourself to founders, fitness creators, and investors and expect to win everywhere. Pick the dimension you care about. Compare. Grow.

I kind of hate throwing numbers around or boasting, but a little soft bait hook felt necessary so you’d read the rest, blame the game 😛

Anyway, a very happy new year 2026.

😅 I’m honestly pretty annoyed with the whole AI PM narrative right now and the amount of misunderstanding floating around.

Yes, the current AI wave is forcing us to rethink a lot of roles, and the PM role is probably one of the most affected, sometimes in genuinely good ways. But I’ve seen a ton of FOMO-driven takes and half-baked narratives that defeat the whole purpose.

Most popular ones:

⛳ PMs should prototype over PRDs
👉 What this means: PMs should be able to express ideas visually when it helps since they're more effective than static documents. If a lightweight prototype or vibecoding helps communicate intent faster, use it.
👉 What people think it means: Learn every vibecoding tool, every agent framework, and build demos for everything even if contextually irrelevant.

Your job isn’t to master every tool. It’s to take a product vision and make it concrete. Try prototyping your idea start to end with one tool. Don’t keep hopping around looking for the “best” one and forget the point altogether.

⛳ PMs should write evals
👉 What this means: PMs should help define what "good behavior" looks like. That can mean doing error analysis, experimenting with prompts, playing with LLM judges to understand patterns, and learning how AI products evolve after launch.
👉 What people think it means: PMs should write LLM judges for everything and obsess over evaluation prompts. The work shifts from product thinking to prompt fiddling, without understanding why the eval exists in the first place.

Writing the judge prompt isn’t the job. Guiding product behavior is. And if you do have a data team, they're much better equipped to build LLM-judges.

⛳ PMs should automate their workflow with AI
👉 What this means: If parts of your work are repetitive or mechanical, automate them. If AI helps you structure thinking or move faster through obvious steps, use it intentionally.
👉 What people think it means: Let AI do all the research, analysis, and synthesis. Forget that your edge was judgment, context, and knowing "what to ignore".

⛳ All PMs need to become AI PMs
👉 What this actually means: You should understand LLMs enough to not get blindsided. Build small things, even if it’s just with no-code tools. Learn how non-deterministic systems behave so you know how to guide teams right.
👉 What people think it means: Half-ass an "AI PM certification", update your LinkedIn title, and start dropping buzzwords.

Before you take any of these narratives at face value, ask where they came from. Was it actually grounded in what makes good product work better? Or was it just reacting to the hype?

🙆‍♀️ Learning new tools shouldn't replace the core skills PMs are actually valued for: taste, judgment, and the art of knowing what matters.

🚀 This 30-page mega pdf with 90+ free resources is pretty much all you need to self-learn AI in 2026.

We put together 90+ curated, fully free resources from some of our favorite sources and listed on our Github too to make self-learning AI easy in 2026!

What you’ll find inside:
⛳ Structured learning paths that take you from fundamentals to production
⛳Project ideas by difficulty so you’re building while learning
⛳ Short courses we’ve found useful
⛳A full coding agents section covering GitHub Copilot, Cursor, and how to use them well
⛳Our popular AI evals course, completely free with certification
⛳ Interview prep with potential AI questions from real companies
⛳Communities worth joining where practitioners actually share ideas
⛳Quick reference guides for “I have one hour” vs “I have one month” learning plans

Everything is organized by intent and time you have.
- Something you want to do this weekend.
- Trying to get hired.
- Trying to understand what’s actually happening under the hood.
Each path is separated and easy to follow.

For every resource, we explain why it’s worth your time and who should skip it too!

Get it here: https://lnkd.in/gpCBYg7n