Podcast
Everyday AI For Everybody
Hosted by Sundar Venkataraman · EN
Everyday AI for Everybody makes learning artificial intelligence simple, friendly, and fun. Hosted by a dad and his tween, each short episode explains AI in clear, everyday language anyone can understand. No jargon, just practical tips, real examples, and easy steps you can use in daily life.
Part of the EverydayX mission to teach everyday skills for everybody.
9episodes
Episodes
Newest firstAll episodes
Context is King, if you want to rule AI
May 1000:06:23Tap to summarizeHave you ever asked AI for help, only to get a generic, frustrating response that completely misses the point? Why does AI sometimes feel like a genius, and other times like it's just handing you a pile of mismatched Lego bricks? In this episode of Everyday AI for Everybody, we break it down with one simple rule: AI brings the words. You bring the context.We explain:Why omitting the "who, what, where, and why" forces AI to fill in the gaps with boring, generic information- The difference between "Conversational Context" (what the AI remembers in a chat) and "Informational Context" (the exact facts and source material you provide) How to stop getting generic answers and start getting exact results by adding just a few layers of detailKey takeaway: Taking an extra thirty seconds to type out the full context saves you time in the long run by turning AI from a guessing machine into a super-smart assistant.The goal isn't just to ask AI to "build something" - it's to give it the exact blueprint for the spaceship you want.🎵 Music: Hiking by Alex-Productions & Efficsounds | https://onsound.eu/ https://www.efficsounds.co.uk Music promoted by https://www.free-stock-music.com Creative Commons / Attribution 3.0 Unported License (CC BY 3.0) https://creativecommons.org/licenses/by/3.0/deed.en_US🎙️ Hosts: Sundar & Dhanur🎧 Podcast: Everyday AI for Everybody
Transcribe →How to Ask Better Questions of AI
Mar 300:08:46Tap to summarizeIn this episode of Everyday AI for Everybody, we break down why AI gives not so great answers for some but other people get incredible result We help you understand with this big idea:AI multiplies your thinking — and rewards clarity.Once you understand this, you go from “googling” questions to asking better questions of AI. If your inputs are vague, you get amplified vagueness. If your thinking is structured, you unlock leverage.We explain:How to make your prompts 10% better, use the 4 Cs:Easy way to apply this immediately through everyday examples - from playing games to ordering electronics 🎵 Music: Hiking by Alex-Productions & Efficsounds | https://onsound.eu/https://www.efficsounds.co.ukMusic promoted by https://www.free-stock-music.comCreative Commons / Attribution 3.0 Unported License (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/deed.en_US🎙️ Hosts: Sundar & Dhanur🎧 Podcast:Everyday AI for Everybody
Transcribe →Why AI needs humans in the loop, especially now
Feb 1500:10:58Tap to summarizeIn this episode of Everyday AI for Everybody, we break down a powerful shift in how we need to think about AI - especially now when AI agents don't just generate ideas, but take action on our behalf. We help you understand with this big idea:AI follows instructions, not intentions.Once you understand this, everything changes — from how you prompt AI, to how you design oversight, to how you decide where humans belong in the loop.We explain:What Makes an AI Agent Different? How agents plan, decide, and execute Why AI tools feelThe difference between Human in the Loop vs Human on the LoopThrough everyday examples - grocery reordering and email automation - we unpack how autonomy shifts responsibility.And answer the key question: Where should humans sit in the system?Key takeaway:Oversight isn’t distrust. It’s design. The more autonomy you allow, the stronger your monitoring must be.🎵 Music: Hiking by Alex-Productions & Efficsounds | https://onsound.eu/https://www.efficsounds.co.ukMusic promoted by https://www.free-stock-music.comCreative Commons / Attribution 3.0 Unported License (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/deed.en_US🎙️ Hosts: Sundar & Dhanur🎧 Podcast:Everyday AI for Everybody
Transcribe →Where Your Data Goes When You Use AI
Feb 800:08:30Tap to summarizeIn this episode of Everyday AI for Everybody, we tackle a question many people have but rarely ask out loud: “What actually happens to my information when I use AI?”We break it down with one simple rule:Treat AI like a shared workspace, not a personal diary.We explain:Why AI tools feel personal — and why that feeling can be misleadingWhere your data goes when you use AI, in simple, human termsHow privacy varies across free tools, paid plans, enterprise systems, and on-device AIWhy overthinking privacy can actually make AI less usefulKey takeaway:If you treat it like a diary, you may hold back or avoid using it or worse, give too much awayIf you treat it like a shared workspace, you can think clearly, work freely, and protect what matters.🎵 Music: Hiking by Alex-Productions & Efficsounds | https://onsound.eu/https://www.efficsounds.co.ukMusic promoted by https://www.free-stock-music.comCreative Commons / Attribution 3.0 Unported License (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/deed.en_US🎙️ Hosts: Sundar & Dhanur🎧 Podcast:Everyday AI for Everybody
Transcribe →How Should I use “AI”
Feb 100:06:44Tap to summarize“Should I use AI?” or should the question be “How much should I let AI do?”With one simple rule to guide us, we explore how AI can be a shortcut that helps you learn, not just something that helps you finish.In this episode of Everyday AI for Everybody, we break it down with one simple rule:AI should make you better, not just faster..We explain:Why the real risk with AI isn’t using it, it’s using it without learningHow thinking of AI like a recipe changes how you decide what to delegateHow to tell the difference between leverage and replacementKey takeaway:If AI helps you finish but doesn’t help you learn, it’s not leverage.The goal isn’t to do less work, it’s to spend your effort on the parts that actually make you better next time.🎵 Music: Hiking by Alex-Productions & Efficsounds | https://onsound.eu/https://www.efficsounds.co.ukMusic promoted by https://www.free-stock-music.comCreative Commons / Attribution 3.0 Unported License (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/deed.en_US🎙️ Hosts: Sundar & Dhanur🎧 Podcast:Everyday AI for Everybody
Transcribe →What “Learning” Means in AI
Jan 2500:07:28Tap to summarize“AI is learning” sounds reassuring - but it leads us to expect understanding, judgment, and rapid improvement in ways AI simply doesn’t work.In this episode of Everyday AI for Everybody, we break it down with one simple rule: AI learning isn’t education - it’s calibration.It’s tuning for accuracy, not learning for understanding.We explain:Why AI doesn’t learn while you’re using itThe difference between training AI and using AIHow models adjust to past data, not live experienceWe discuss the 5 steps AI models use to learn and answer questions. Key takeaway: Knowing how AI really “learns” helps you trust it appropriately and use it more effectively.🎵 Music: Hiking by Alex-Productions & Efficsounds | https://onsound.eu/https://www.efficsounds.co.ukMusic promoted by https://www.free-stock-music.comCreative Commons / Attribution 3.0 Unported License (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/deed.en_US🎙️ Hosts: Sundar & Dhanur🎧 Podcast:Everyday AI for Everybody
Transcribe →Why AI Gets Things Wrong”
Jan 1900:07:22Tap to summarizeAI can generate stunning images in seconds. It can also get things very wrong - sometimes obviously, sometimes subtly.In this episode of Everyday AI for Everybody, we break it down with one simple rule: When AI sounds confident, don’t assume it’s right.We explore why AI makes mistakes. Most errors come from three simple reasons:It hasn’t seen this pattern beforeIt fills in gaps instead of stoppingIt doesn’t have enough information to guess correctlyAnd all of this is made worse by one thing: AI sounds confident even when it shouldn’t.We break down how image generators actually work, play a quick game to predict when AI will fail, and share practical ways to use image generation without being misled by it.Key takeaway: “AI might get it wrong… but that just means we get to get it right!”🎵 Music: Hiking by Alex-Productions & Efficsounds | https://onsound.eu/https://www.efficsounds.co.ukMusic promoted by https://www.free-stock-music.comCreative Commons / Attribution 3.0 Unported License (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/deed.en_US🎙️ Hosts: Sundar & Dhanur🎧 Podcast:Everyday AI for Everybody
Transcribe →What Makes Something AI?
Jan 1200:08:30Tap to summarizeEveryone calls everything “AI” now - from dishwashers to automatic doors. But what actually makes something AI?In this episode of Everyday AI for Everybody, we break it down with one simple rule: If it doesn’t learn, it’s not AI. We explore the difference between tools, automation, and real AI using everyday examples like photo apps, smart devices, and self-driving cars.Learning is the line. Smart ≠ AI. Automated ≠ AI.You’ll learn:The 3 Buckets of Technology - Tools, Automation, and AIHow AI Learning Works with examples Why smart technology may not have AIYou’ll walk away with a simple test you can use anywhere to spot AI hype and understand what’s really happening behind the scenes.Key takeaway: Not everything smart is AI, and knowing the difference is an everyday skill.🎵 Music: Hiking by Alex-Productions & Efficsounds | https://onsound.eu/https://www.efficsounds.co.ukMusic promoted by https://www.free-stock-music.comCreative Commons / Attribution 3.0 Unported License (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/deed.en_US🎙️ Hosts: Sundar & Dhanur🎧 Podcast:Everyday AI for Everybody
Transcribe →Does AI actually think… or does it just sound like it does?
Jan 400:10:28Tap to summarizeAI seems to get smarter every day: passing tough exams, fixing old code, and answering questions with confidence. But is it really thinking, or is something else going on?In this episode of Everyday AI for Everybody, we break down one of the biggest misconceptions about artificial intelligence using simple, everyday examples. From finishing sentences to Spotify song recommendations and ChatGPT’s thinking mode, we explore the big idea:AI doesn’t think. It predicts.You’ll learn:What “prediction” really means (and why it feels like thinking)Why AI sometimes answers instantly, and other times takes longer?How recommendation systems like Spotify actually workWhy sounding smart isn’t the same as being rightBy the end, you’ll see AI not as a mysterious brain, but as a powerful guessing machine—fast, helpful, and useful, but still dependent on us to think, question, and decide.If AI has ever impressed you, confused you, or worried you, this episode will help everything click—one prediction at a time.🎵 Music: Hiking by Alex-Productions & Efficsounds | https://onsound.eu/https://www.efficsounds.co.ukMusic promoted by https://www.free-stock-music.comCreative Commons / Attribution 3.0 Unported License (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/deed.en_US🎙️ Hosts: Sundar & Dhanur🎧 Podcast:Everyday AI for Everybody
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