#214 Neil: Are You Using AI Wrong? 24 Smart Hacks You Need To Know Now - podcast episode cover

#214 Neil: Are You Using AI Wrong? 24 Smart Hacks You Need To Know Now

Nov 05, 202511 min
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Episode description

Most people only use 10% of their AI's power. Are you one of them? We show you 24 smart, real-world examples. Use AI to get better deals, manage your calendar like a boss, analyze videos, and even write your CV. These tips are simple, practical, and for everyone. 💰

We'll talk about:

  • How to use AI for smarter shopping (finding deals & alternatives).
  • Solving everyday home problems (like tech support & cooking).
  • Ways to organize your work & life (managing calendars, travel, & tasks).
  • Using AI for fun & creativity (making images, music, & home designs).
  • How to do deep research (analyzing trends & summarizing videos).
  • Making your job easier (automating tasks & writing documents).

Keywords: AI for Beginners, Practical AI Uses, Daily AI Hacks, AI for Shopping, AI Tools, Prompt Engineering.

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Transcript

So do you still only ask AI for, you know, the weather forecast? Or maybe just drafting this really basic email you end up deleting anyway? It feels like a lot of us, well, we treat these super powerful tools like they're just fancy calculators. We're kind of missing out on their real potential as like a proper personal assistant, a teacher, even a creative partner. We're leaving hours of saved time on the table just asking questions, not really delegating tasks. Welcome

to the Deep Dive. Yeah, today we're going to unpack a whole bunch of sources detailing, I think it's 24 really practical ways you can shift how you use AI, moving from just asking it stuff to actually getting it to do things for you. We've pulled out the best bits on smarter shopping, fixing things around the house instantly, optimizing your workflow, and even some pretty mind blowing

research tools. And look, the goal isn't to make you some kind of tech It's really just about showing you how to weave AI into your day -to -day life. Save yourself some hours. Get rid of that boring, repetitive stuff for good. It's about action, not just ideas. Okay, yeah, let's get into it. Maybe we can start with how AI can fundamentally change... well, how you spend your money, and maybe cut down on that awful feeling

buyer's remorse. You know, when you buy something big, a fridge, a laptop, whatever, and the worst feeling is buying it, and then, bam, next week, the new model comes out for the same price. Ugh. Right. That's exactly the first thing AI tackles. It can intelligently look at the predictable product cycle. We often try to Google this stuff manually, but AI can quickly scan the patterns for big companies. Apple, Samsung, you name it. So you could ask it something like, hey, I'm

thinking about getting an iPad Air. When did the current one come out? How often does Apple update this line? Should I buy it now or maybe wait a bit? And the sources say AI gives you a very good guess, that's the quote, about whether waiting a few months makes sense financially. or if you're actually in a good window to buy. Mm -hmm. But it's not just release dates, is it? It goes into historical pricing, too. Exactly.

For those really pricey things, you can ask it about past sales, Black Friday, Prime Day, that sort of thing. It basically becomes your historical price checker. Okay, so if I'm looking at, say, a fancy TV, I could ask, what? Like... Based on past sales for this Sony A90J TV, how much does the price usually drop during big sales events? Yeah, precisely. And it might come back saying, look, this model usually drops 20, 25 percent. Boom, now you know what price to aim

for and you won't overpay right now. OK, but hang on. How reliable are those predictions? I mean, things change, right? Supply chains get messed up. Is basing a buy on old data risky? That's a fair point. And the sources are clear. It's predicting probability based on tons of data. It's not like a guarantee, its strength is the sheer volume of past data it can crunch in seconds. Way better than just guessing, even if it's not a perfect crystal ball. Interesting.

So if AI can kind of predict release dates and discounts, what does that really change about how we research stuff we buy? Well, knowing those cycles gives you power, right? It helps you avoid paying that new release premium unnecessarily. That could save some serious cash on big stuff. OK, let's bring it down a notch. How about using this for those annoying little problems? Right in our own homes. Oh, yeah. Moving into the home. AI is basically your universal user manual now.

You know that moment, the printer jams, washing machine flashes some weird code? And the manual vanished years ago. Exactly. Or you call support and sit on hold for like half an hour listening to bad music. Yeah. So AI skips all that. Totally. It's like having a manual for everything you own, but one that actually talks you through the fix, step by step. There's a great example in the source. Quick. tech support. Say your LG washer model, WM3400CW, they mentioned shows

error DE. Ask the AI, give me five specific steps to fix error code DE on my LG WM3400CW. Apparently 90 % of the time it's something simple like the door isn't shut properly, AI gets you there in five minutes, no service call needed. Wow, okay. That instant fixability. Does it work in the kitchen, too? Like, beyond just basic substitutions? Oh, absolutely. We've all asked, what can I use instead of butter? But yeah, it goes deeper. It gives you adjustment instructions. OK, say

you're making banana bread. Recipe needs half a cup of brown sugar. You only have white sugar and honey. AI doesn't just say, use white sugar. It'll suggest, OK, use that half cup of white sugar, plus maybe a tablespoon of honey. Oh,

why the honey, though? to keep the taste right but also and this is key the moisture level that the brown sugar would have given it's actually adjusting the recipe's chemistry not just swapping names it's like a proper kitchen helper and honestly i still wrestle with prompt drift myself sometimes when i try the really complex stuff you know mixing recipe ideas but for these quick home fixes the immediate results are just Yeah, incredible. That fast success really builds your confidence.

So beyond just being convenient, how does getting those quick fixes at home make us feel better about using AI for, like, bigger work problems? Quick wins on simple things build that crucial trust. Makes you more willing to tackle complex tasks later. Okay, this is where I think it gets really interesting. Workflow automation. Moving past using AI like a search box and actually teaching it your specific style. Yeah, this is about ditching the repetitive grind without sounding

like a robot. Think about document templates. You write that same weekly progress report or internal memo every single Monday, right? The structure is always similar. Copying and pasting is just so boring. So the AI way is what? Upload old reports. Exactly. Upload maybe three or four of your past reports, .txt files, PDFs, whatever. Then you ask the AI to analyze the structure, the tone you use, the common phrases. It literally

learns your voice, your style. Then you tell it, create a new template based on these examples, maybe with sections like. what I did and next steps. So next time, you just give it the bullet points. AI fills in like 90 % of it. But in your style, you get to focus on the actual substance, not the formatting. Hold on though. Uploading company reports, what about security? Right. Or, you know, AI making stuff up, hallucinating. Critical question. The sources definitely hit

on this. Key thing is understanding your AI tools privacy policy. Does the data train their model or stay private? For work stuff, the advice is clear. scrub any really sensitive names or numbers before you upload. And yeah, hallucination risk is lower when it's analyzing structure versus generating pure fiction, but you always gotta double check what it puts in. That same idea, commanding it, works for calendar management too. Such a time suck, right? Forget manually

clicking around. You just say, find me two hours free next week for deep work, one morning slot, one afternoon, no meetings, and just add deep work to my calendar. That's proper delegation. And meeting summaries, too, instead of making someone type up notes. Yeah. Feed it the transcript from your Zoom call or whatever. Ask it. List five action items from this meeting, who owns them, and remind me to follow up next Tuesday. Takes like three steps, turns them into one command.

That's all about stacking those commands, it seems. Totally. Like travel planning. Say you're driving from Saigon to Vung Tau in Vietnam. You can ask the AI, find a really good Bangkok place. Those amazing little savory pancakes. That's actually on my route. Oh, wow. Yeah. And it doesn't just find it. It tells you how much extra time that stop will add and adjusts your ETA automatically. Directions, food, research, culture, time, math,

all in one go. OK, so when AI learns our writing style, manages our time, plans our snack stops, where do we draw the line on outsourcing? What's left for us? Well, outsourcing the boring structure frees us up, right? Let's us focus on the human stuff connection. Real insight. Mid -roll sponsor, read placeholder. Right, let's shift gears a bit. Let's talk deep research and maybe pushing creative boundaries. This seems super relevant for anyone who needs to absorb a ton of info

quickly and not just by passively reading. Right, forget just reading. You can actually turn those boring documents into something engaging. Got a 50 -page PDF, dense technical manual, school paper to review, upload it, then ask the AI something like... create a short podcast script, maybe five minutes long, two hosts discussing the main points from this document, and explain the tricky ideas simply. Suddenly, learning isn't just passive reading. It's like actively reviewing content.

It helps you grasp it and remember it way better. You could even get it to create personalized study guides. Like, feed it two different articles on a historical event with opposing views. Yeah. And ask it for a simple side by side. Argument A versus Argument B. It synthesizes the conflict for you. Doesn't just spit back facts. That synthesis part is powerful. And does this work for videos too? Like long lectures? Absolutely. Instead of scrubbing through a two -hour video lecture,

give the AI the link. Ask it. Find the exact timestamp where the professor starts talking about the Industrial Revolution. And give me a quick bullet summary of the three main points they make in that section. The time -saving there. It feels huge. You just jump straight to the core info you actually need. Monumental time -saving. And this kind of leads us to that... that moment of wonder the source has mentioned, video translation with perfect lip sync. We're

talking tools like HayGen here. Explain that again, how does that work? Okay, so you upload your video, let's say you're speaking English, but you need it in Spanish. You pick Spanish, the AI creates a new video. You're speaking fluent Spanish, but, and this is the wild part, it keeps

your original voice tone. Okay. But the magic, the real leap, it analyzes how your mouth moved, making the English sounds, and then it actually changes your mouth movements in the video, pixel by pixel, to perfectly match the new Spanish words. Whoa, wait, seriously, it changes how your lips move? Yeah, perfectly synced. Imagine scaling human connection like that, breaking language barriers for, like, global business or online education. Seamlessly, it's amazing.

It's genuinely mind -blowing. So if AI can instantly break down a two -hour video or translate our words and our lit movements, what's the real bottleneck now in getting information? The bottleneck shifts, right? It's less about processing the output and more about curating the right input for the AI in the first place. That's a really powerful shift. So just to recap quickly. We saw AI move from just answering questions to

being an active assistant. We looked at smarter shopping, instant home repairs, personalized workflow stuff, and that accelerated research. Yeah, covering tips from nailing discount timing to getting your calendar sorted automatically, all about turning delegation into actual action. And the big idea isn't, you know, go try all 24 things right now. That's overwhelming. It's about finding one thing, one annoying, repetitive task in your life that AI could actually handle.

starting today. Right. So if you hate writing that same weekly update email, maybe try the style analysis and template thing we talked about. Or if you cook a lot and always panic about substitutions, try that ingredient adjustment trick. Exactly. Start small, see how it feels having AI as an assistant, then build from there. let it do the boring work. So if AI really takes over those repetitive tasks, the comparison, shopping, the scheduling, the email templates, we get that

time back. What's the one thing you are genuinely excited to reclaim that time for? Is it more focused at your job, being more present with family, or finally digging into that hobby? Two secs silence. Thanks for joining us on this deep dive exploring how to make AI your actual active assistant. Gout Loach your own music.

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