WEBVTT

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So have you ever felt like your work day just

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vanishes? Oh, definitely. You're busy compiling

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data, tracking the news, maybe sifting for leads.

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Yeah. And then suddenly the hours are just gone.

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It's this common frustration, feeling consumed

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by these repetitive, sometimes kind of mundane

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tasks. Mm -hmm. It can be relentless. What if

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you had a tireless digital colleague? One that

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could handle those exact things doing the heavy

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lifting with just, you know, simple instruction.

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That's the dream. Well, today we're diving deep

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into that very idea. We're exploring agentic

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AI and specifically chat GPT's new agent mode

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and how it's kind of making this real. Welcome

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everyone to the deep dive. We love exploring

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these pivotal moments in tech. And today, yeah,

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our mission is pretty clear. We're going to unpack

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how agentic AI is genuinely transforming how

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we work. OK. We'll get into the core difference,

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what makes it tick, and then lay out eight really

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practical kind of groundbreaking applications.

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And this isn't just some minor tweak, right?

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No, not at all. It's a fundamental shift in how

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we interact with AI big time. And of course,

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we'll cover the best practices too, so you can

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actually master it and use this power effectively.

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OK, let's unpack that then. Agentic AI. It sounds

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like a monumental leap forward. way more than

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just another chatbot. It absolutely is, yeah.

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When we talk about agent mode, we're defining

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something really different. Think about traditional

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chat GBT. It's a language tool, right? A super

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smart conversational partner. Like asking a question,

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getting an answer. Exactly. You ask, it answers.

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You tell it to write something, it writes. But

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it's all happening inside that text -based chat

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window. It's kind of locked in there. Right,

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like a brilliant pen pal, but still just text.

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Perfect way to put it. Yeah. But chat GPT agent

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mode, that's a task executor. It breaks free.

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When you give it a task, it actually creates

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this virtual workspace. It figures out a plan,

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and then it acts. It can open a web browser,

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go to websites, read documents, analyze files,

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and even write Python code to process data. It

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can even fill out forms online. So that Python

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code interpreter thing you mentioned. Right.

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That's basically just a tool inside it that lets

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the AI write and run its own little computer

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programs. That's how it can do stuff based on

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your request, not just talk about it. The analogy

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I like is it's the difference between asking

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an expert how to drive a car, and handing the

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keys to an actual driver. One gives you knowledge,

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the other performs the action. That really clicks.

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That makes sense. And activating it, you said,

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is simple. Super simple. Open chat, GPT, start

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a new chat, look under tools, and just enable

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agent mode. That's it. OK. So what's the fundamental

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shift here for our daily tasks? It moves AI from

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just answering questions to actively doing complex

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multi -step actions for you. changes the whole

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partnership. Game changer almost feels like an

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understatement. It's not just faster, is it?

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It's like unlocking new ways to work. That's

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it, exactly. So what are some of the most eye

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-opening applications you've seen? Those real

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-world examples, changing workflows. Yeah, and

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what's cool is how quickly these things are getting

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integrated. You know, it's not just theory anymore.

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We've found eight areas where the shift is really

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noticeable. Let's start with one everyone hates.

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Presentations. Oh, yes. Okay, first one. Creating

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professional present patients in minutes. The

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pain is real, right? Presentations can take hours,

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maybe even days. Research, putting it together,

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structure, images, design. It's a huge time sink.

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Totally. So the agentic solution. Delegate the

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whole thing, A to Z. You give it a really detailed

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request, and the agent researches and generates

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the actual presentation file. Seriously? Yeah.

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Imagine telling it, OK, I need a presentation

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for the board. Topic analysis of trends and opportunities

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in the Southeast Asian social commerce market

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for 2026 Okay, then you specify like 15 slides

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key sections market analysis consumer behavior

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opportunities risks even the design stuff Leto

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font navy blue color use this logo file set your

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sources It handles the whole creative and research

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part what might take an analyst say four to eight

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hours the agent can knock it out in maybe 20,

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30 minutes. That's incredible. Which frees you

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up to actually rehearse and get ready for the

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tough questions. That's a massive shift. So how

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does that change the human's role then? It moves

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you from tedious assembly work to being the strategist,

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the orchestrator. It amplifies your impact. Okay,

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next one. turning raw data into insightful analytical

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reports. We've all got those, right? Excel files,

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CSVs, just full of data. Sales numbers, customer

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stuff, but getting real insights out, especially

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if you're not like a data whiz or don't have

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fancy tools. It's tough. Right. But here, the

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agent solution is surprisingly simple. You just

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upload your data file. OK. The agent uses that

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built -in Python code interpreter we mentioned

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to do calculations, stats, even make charts and

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graphs, data visualization. And you don't need

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to write any code yourself. Not at all. Nope.

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You could give it, say, a Sales Q3 Treaty 25

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.csv file. Ask it to clean the data, get rid

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of duplicates, fill missing spots, then maybe

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create a dashboard tab with specific charts,

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like a line chart for daily revenue, a pie chart

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for regions, a bar chart for top products, and

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then maybe an insights tab that just summarizes

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three important findings in plain English. And

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it's actually calculating, not just guessing,

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based on the text. Exactly. It ensures accuracy.

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It can do complex stuff, too, like linear regression,

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customer clustering, things that used to require

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serious coding skills. It's like stacking Lego

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blocks of data and building this tower of insight.

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So this really lowers the bar for getting deep

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data insights, doesn't it, for non -coders? Absolutely.

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It democratizes advanced data analysis for pretty

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much everyone. Huge barrier removed. Okay, speaking

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of complex and time -consuming, let's talk automatically

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finding high -quality leads. Ah, lead gen, the

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grind. Right, it's notoriously slow, sifting

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through tons of websites, LinkedIn profiles,

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news, just trying to find the right contact.

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Total time sack. The agenic solution here is

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like setting up a digital scout. It works 24

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-7, searching for leads based on the buying signals

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you define. Then it delivers a qualified list.

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So you tell it what to look for. Precisely. You

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could prompt it. Like, find me 30 BDB tech companies

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in North America. They need to have gotten series

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A or B funding in the last six months. Specific.

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Yeah. And add more criteria. Between 50 and 250

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employees, they need a job opening for sales

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development rep or marketing automation specialist.

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And they can't be direct CRM competitors. Right.

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And it'll spit out a table. Company name, website,

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funding info, links to the news or the job posts.

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The original source mentioned an agent doing

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like 61 searches, reviewing over 400 sources,

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all in about 45 minutes. Wow. The efficiency

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is just wild. Whoa. Just imagine scaling that.

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Finding, I don't know, a billion potential queries

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a year. The sheer volume it could handle is incredible.

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Oing boggling, isn't it? So how does this shift

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the human effort in sales and marketing them?

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It totally redefines the role, moves people away

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from hunting and towards qualifying leads and

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building relationships, more strategic stuff.

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Makes sense. OK, next, staying updated on industry

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news without feeling overwhelmed. Oh, yeah, the

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information fire hose, especially in fast fields

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like AI, right? Miss one key piece of news and

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you feel behind. But trying to track everything

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every day, exhausting. Impossible, almost. So

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the agentic fix is like creating your own personal

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news editor. I like the sound of that. It reads

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hundreds of sources daily, but only reports back

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on what really matters based on your rules. And

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you can schedule it, have it run automatically

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every morning using the schedule feature. Nice.

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So you could prompt it. Act as my AI industry

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news analyst. Run daily, 7 .30 a .m., my time.

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Scan TechCrunch, Wired, The Verge, the official

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blogs for OpenAI, Google AI, Anthropic, plus

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LinkedIn posts from these top 10 AI thinkers.

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Okay. Only tell me about new major LLM updates,

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that's large language models, big pricing changes,

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acquisitions over $100 million, or new USEU AI

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rules. Send it as a concise email titled, Daily

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Strategic AI Briefing. And it finds specific

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things. Yeah, the examples were like OpenAI acquiring

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Statsig, details on GPT -5 launch and pricing,

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new open weight models, Google AI Pro for education

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updates, that level of detail. Got it. Now, it's

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worth noting, neutrally, that the agent also

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surfaced a news item about a U .S. executive

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order preventing woke AI signed by President

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Trump. It directed agencies to seek AI models

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that are, quote, truth seeking and ideologically

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neutral. OK. Our point here isn't to comment

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on the order itself, just to report that the

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agent did find and include this kind of news

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based on its instructions. Understood. So the

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value is getting critical info automatically,

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turning chaos into actual intelligence. Exactly.

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It's filtered, prioritized, actionable insight

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right in your inbox. No more FOMO. So that's

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about consuming intelligence, not just raw information,

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right? Precisely. Curated, prioritized, actionable

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insight delivered right to you. Huge difference.

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Okay. Application five. Automate invoice management.

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Never miss one again. This one hits home for

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a lot of people, I think. Oh, for sure. So many

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online services just don't email invoices automatically.

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Great. So you or your accountant have to log

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into each platform every month, find the billing

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section, download the PDF. It's tedious, easy

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to miss one. The agentic solution. Authorize

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an agent to do it for you, recurringly. How does

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that work with logins? when it needs your credentials,

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it actually pauses the task. And you can securely

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take over to input them just that once. Then

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it remembers for next time within that session

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or based on settings. So a prompt might be on

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the fifth of every month, log into platform A

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and platform B. I'll give you the credentials

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securely. Go to billing, download last month's

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invoice PDF, then update this Google Sheet invoice

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tracking 2025 with the date, vendor, amount,

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and a link to the PDF. OK, I have to admit, I

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still wrestle with remembering to download every

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single invoice myself. Sometimes I just forget.

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This sounds amazing. You and me both. It's a

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lifesaver, ensures compliance, saves accounting

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time, no more lost invoices. But. And this is

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a big, but be super careful with sensitive accounts.

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Always best to use sub -accounts if possible

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or accounts with limited permissions just for

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the agent. Security first. Right, crucial point.

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Beyond just the convenience though, what's the

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bigger benefit for compliance? It creates a clear,

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auditable trail. reduces human error and oversight

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and financial records significantly. Okay. Number

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six, monitor competitor pricing changes. This

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is key in competitive markets. Absolutely. You

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lose your edge fast if a rival changes prices

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and you don't notice, but checking manually every

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week? Yeah. Super inefficient. Yeah. So the Egentic

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solution is an automated monitoring system. It

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compares the live prices on their website to

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a baseline data file. You have maybe a spreadsheet,

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and it only bothers you if something actually

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changes. Sorry, Bart. Yeah, a prompt could be

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like, every Monday, 9 a .m., open my competitor

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pricing tracker Google Sheet. Visit the pricing

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pages for competitor A and competitor B. Check

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their prices for basic pro enterprise tiers against

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my sheet. If nothing changed, do nothing. If

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prices did change, update the sheet, highlight

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the change cell yellow, and send me an email.

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Alert, competitor price change. with a quick

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summary. That's really practical. And you can

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expand it, right? Monitor new features they launch,

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promo campaigns, key blog posts, press releases,

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whatever digital footprint they leave. It really

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feels like gaining a constant sort of digital

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ear to the ground for market shifts. Precisely.

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Real -time competitive intelligence without the

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manual slog. That's a strategic advantage. Okay,

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moving towards bigger projects now. Conducting

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in -depth competitive analysis. Yeah, these are

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usually massive undertakings. Weeks, sometimes

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months, right? It needs specialized knowledge.

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Or you're shelling out big bucks for consulting

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firms. Exactly. So the Agendix solution here

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involves a clever little trick. First, you ask

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a powerful AI model like Jeep MP4 to actually

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build a professional competitive analysis framework

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for you. Ah, use AI to make the instructions

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better. You got it. Then you use that framework

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as the basis for your agent's prompt. Leverage

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AI to create a near -perfect prompt for itself.

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Yep, smart. So the detailed prompt might be,

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perform an in -depth competitive analysis of

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this company. Innovate tech in the project management

00:12:27.379 --> 00:12:30.200
software space. Then you list the structure from

00:12:30.200 --> 00:12:32.620
the framework. Company overview, product analysis,

00:12:32.820 --> 00:12:35.500
marketing and sales, SWOT, online presence, checking

00:12:35.500 --> 00:12:38.960
their site, social media, G2, capterra reviews.

00:12:39.210 --> 00:12:41.889
And specify the outputs. Give me a word report,

00:12:42.370 --> 00:12:45.509
a summary PowerPoint, and an Excel sheet with

00:12:45.509 --> 00:12:47.970
all the source links. And the result. Well, a

00:12:47.970 --> 00:12:51.090
project that might cost you, say, $25 ,000 from

00:12:51.090 --> 00:12:54.129
a consulting firm. An agent can execute the bulk

00:12:54.129 --> 00:12:56.870
of it in under an hour. Seriously? Yeah. It gives

00:12:56.870 --> 00:12:59.970
you a really solid 80%, 90 % foundation, saves

00:12:59.970 --> 00:13:03.129
enormous cost, and just speeds up decision making

00:13:03.129 --> 00:13:05.730
like crazy. So it's not about getting a perfect

00:13:05.960 --> 00:13:08.960
Final report instantly but about getting a massive

00:13:08.960 --> 00:13:11.620
head start exactly that it drastically reduces

00:13:11.620 --> 00:13:14.340
that initial heavy lifting Lets you refine faster

00:13:14.340 --> 00:13:16.500
and focus strategically. Okay, finally number

00:13:16.500 --> 00:13:19.559
eight Automating your personal life planning

00:13:19.559 --> 00:13:22.159
and booking services Bringing it home. Yeah,

00:13:22.360 --> 00:13:24.299
because a busy life means personal errands, trip

00:13:24.299 --> 00:13:26.559
planning, making reservations can feel like chores.

00:13:27.220 --> 00:13:29.139
Time consuming ones. They really can pile up.

00:13:29.360 --> 00:13:31.340
Yeah. So the agentic solution is just delegating

00:13:31.340 --> 00:13:34.919
those complex multi -step personal tasks. You

00:13:34.919 --> 00:13:37.000
can bundle multiple requests into one command.

00:13:37.100 --> 00:13:39.740
Like a travel agent. Kind of, yeah. Think about

00:13:39.740 --> 00:13:42.379
this prompt. Plan a weekend trip for two people

00:13:42.379 --> 00:13:45.659
from Ho Chi Minh City to Del Lot. Second weekend

00:13:45.659 --> 00:13:48.759
of next month. Then you detail it. Find three

00:13:48.759 --> 00:13:52.120
round -trip flight options via Jet Air or Vietnam

00:13:52.120 --> 00:13:54.919
Airlines, leaving Friday morning, back Sunday

00:13:54.919 --> 00:13:58.700
afternoon. Find three four -star vintage -style

00:13:58.700 --> 00:14:02.279
hotels or homestays must have a balcony, 8 .5

00:14:02.279 --> 00:14:05.440
out of 10 rating or higher. Create a three -day,

00:14:05.639 --> 00:14:08.360
two -night itinerary, include famous but non

00:14:08.360 --> 00:14:10.720
-touristy places to eat, cloud hunting spots,

00:14:10.860 --> 00:14:13.320
a flower garden visit. Put all the options in

00:14:13.320 --> 00:14:16.480
a nice comparison table for me. Wow, that's comprehensive.

00:14:16.740 --> 00:14:19.139
Right. just shows the potential. It could be

00:14:19.139 --> 00:14:21.399
your personal assistant, travel planner, shopping

00:14:21.399 --> 00:14:23.820
helper, freeing you up from those daily chores.

00:14:24.100 --> 00:14:26.480
This really does blur the line between automating

00:14:26.480 --> 00:14:29.059
work tasks and personal life tasks, doesn't it?

00:14:29.139 --> 00:14:31.700
It truly extends automation's reach into almost

00:14:31.700 --> 00:14:33.700
any task you do through a web browser. Makes

00:14:33.700 --> 00:14:36.330
life smoother. OK, so we've seen the power. Eight

00:14:36.330 --> 00:14:38.950
incredible examples. But a powerful tool needs

00:14:38.950 --> 00:14:41.230
the right technique, right? How do we command

00:14:41.230 --> 00:14:43.370
these agents effectively? Absolutely. You got

00:14:43.370 --> 00:14:45.110
to know how to drive it. These are the sort of

00:14:45.110 --> 00:14:47.309
golden rules for interacting with agents well.

00:14:47.669 --> 00:14:50.809
Lay them on us. OK, first, specificity is efficiency.

00:14:51.230 --> 00:14:53.730
Don't be vague. Instead of just analyze this

00:14:53.730 --> 00:14:56.769
data, be precise. Create an interactive dashboard

00:14:56.769 --> 00:14:59.049
showing monthly revenue trends by region and

00:14:59.049 --> 00:15:01.549
completion rates for each product line. Specifics

00:15:01.549 --> 00:15:05.029
matter. Got it. Second. Context is key. Always

00:15:05.029 --> 00:15:06.909
explain what your data actually means. What's

00:15:06.909 --> 00:15:08.870
the order things need to happen in? What's your

00:15:08.870 --> 00:15:12.070
ultimate goal? Give it the background. More context,

00:15:12.289 --> 00:15:15.629
better results. Exactly. Third, start simple.

00:15:16.169 --> 00:15:19.350
Then add complexity. Don't try to write the perfect

00:15:19.350 --> 00:15:21.929
massive prompt right off the bat. Start basic.

00:15:22.250 --> 00:15:24.570
See how the agent handles it. Then gradually

00:15:24.570 --> 00:15:27.629
add more requirements. It's iterative, like refining

00:15:27.629 --> 00:15:31.289
a conversation. You build up to it. Fourth, think

00:15:31.289 --> 00:15:33.980
in signals. Especially for searching or monitoring

00:15:33.980 --> 00:15:36.600
tags. Ask yourself, what's the digital footprint?

00:15:36.940 --> 00:15:39.879
What trace indicates the info I need? Is it a

00:15:39.879 --> 00:15:42.259
keyword in a job post, a specific phrase in a

00:15:42.259 --> 00:15:44.899
press release, a number on a pricing page? Find

00:15:44.899 --> 00:15:47.299
the signal. Makes sense. Be the detective. Kind

00:15:47.299 --> 00:15:51.639
of, yeah. Fifth, always quality check. Agents

00:15:51.639 --> 00:15:54.340
are powerful, amazing even, but they're not perfect,

00:15:54.559 --> 00:15:57.340
not infallible. Always review the output. Treat

00:15:57.340 --> 00:16:00.240
it like a really, really good first draft from

00:16:00.240 --> 00:16:02.870
a smart assistant. Not the final finished product.

00:16:03.549 --> 00:16:06.490
Human oversight is key. Crucial. And finally,

00:16:07.110 --> 00:16:09.950
understand limitations and safety. Be really

00:16:09.950 --> 00:16:12.250
cautious with sensitive info logins, personal

00:16:12.250 --> 00:16:15.210
data. Remember, agents might struggle with complex

00:16:15.210 --> 00:16:18.769
cat PCHAs, those prove -your -human tests, or

00:16:18.769 --> 00:16:22.450
tricky multi -factor logins. And always, always

00:16:22.450 --> 00:16:25.200
prioritize security. So the real skill here isn't

00:16:25.200 --> 00:16:27.039
necessarily coding anymore. It's more about clear

00:16:27.039 --> 00:16:30.539
instructions, iterating, and careful management.

00:16:30.659 --> 00:16:32.860
Precisely. It's about thoughtful prompting and

00:16:32.860 --> 00:16:35.200
critical review. It's much more like leading

00:16:35.200 --> 00:16:37.840
and managing a really capable autonomous team

00:16:37.840 --> 00:16:39.659
member. It's a great way to think about it, sponsor.

00:16:40.299 --> 00:16:42.279
So let's just recap our deep dive today. What

00:16:42.279 --> 00:16:44.639
we're seeing here, it feels like a truly fundamental

00:16:44.639 --> 00:16:47.700
shift in, well, how work gets done. Tasks that

00:16:47.700 --> 00:16:50.539
honestly used to eat up. hours, sometimes days,

00:16:50.919 --> 00:16:53.440
now potentially take minutes. It's a huge leverage

00:16:53.440 --> 00:16:55.240
point. And just to reiterate, this isn't about

00:16:55.240 --> 00:16:57.720
AI replacing people. It's really about AI liberating

00:16:57.720 --> 00:17:00.299
us, freeing us up from that repetitive, mundane

00:17:00.299 --> 00:17:02.879
work. Yeah, the drudgery. Which lets us focus

00:17:02.879 --> 00:17:05.519
on the things machines just can't do. You know,

00:17:05.660 --> 00:17:07.920
the critical thinking, real breakthrough creativity,

00:17:08.380 --> 00:17:11.039
building genuine relationships, making those

00:17:11.039 --> 00:17:14.319
strategic calls based on intuition and experience.

00:17:14.500 --> 00:17:17.579
Amplifying our human skills. Exactly. Amplifying

00:17:17.579 --> 00:17:21.000
our uniquely human capabilities. So we really

00:17:21.000 --> 00:17:23.829
hope you try Agent Mode. Seriously. Give it a

00:17:23.829 --> 00:17:26.609
shot today. Start small. Pick one application,

00:17:26.910 --> 00:17:29.069
one thing that frustrates you daily. You see

00:17:29.069 --> 00:17:31.250
pretty quickly how much time it can save and

00:17:31.250 --> 00:17:33.670
what possibilities start to open up. It's quite

00:17:33.670 --> 00:17:35.569
exciting. It really feels like the competitive

00:17:35.569 --> 00:17:37.470
advantage is shifting, doesn't it? It's less

00:17:37.470 --> 00:17:40.549
about who just works harder and more about who

00:17:40.549 --> 00:17:44.069
can effectively command and manage this army

00:17:44.069 --> 00:17:47.150
of AI systems. That's the new game. So the question

00:17:47.150 --> 00:17:50.750
really isn't if AI will change how we work anymore.

00:17:50.890 --> 00:17:52.869
It's already happening. The real question is.

00:17:53.099 --> 00:17:55.839
How ready will you be? Altiro music.
