Diterbitkan Pada: 2025-07-31T18:50:11Z
Tampilan: 440,463
Suka: 13,276
Komentar: 504
Deskripsi: 🖥️ Download the free ChatGPT at Work PDFs: https://clickhubspot.com/2d0715
More from Futurepedia:
👉 Join the fastest-growing AI education platform! Try it free and explore 20+ top-rated courses in AI: https://bit.ly/futurepediaSL
Summary:
If you want to learn AI but feel overwhelmed by all the tools, updates, and jargon, this is your complete roadmap.
In this video, I show you exactly how to learn AI in 2025 without needing to be technical, chase every new model, or waste time on tools you don’t need.
That includes:
– The 3 paths to learning AI (Explorer, Power User, Builder)
– The most useful tools across text, image, video, audio, and research
– Core concepts like LLMs, prompt engineering, and agents
– The essential skills that won’t go out of date
– Advanced skills like AI Agents and Vibe Coding
– A simple 30-day plan to actually start using AI in your life and work
Whether you want to save time, build smarter workflows, or unlock new creative power — this will get you ahead of 99% of people trying to learn AI.
Chapters
0:00 Intro
0:40 Breaking down the 4 barriers
2:18 3 Paths to learning AI
3:50 Core Concepts
4:32 AI Tools overview
5:24 Tools: Large Language Models (LLMs)
9:07 Tools: Research
10:16 Tools: Image
11:12 Tools: Video
12:41 Tools: Audio
14:40 Tools: Specialized Wrappers
16:25 AI Learning Platform
16:58 Core Skill 1: Prompting
20:13 Core Skill 2: Tool Literacy
20:25 Core Skill 3: Workflow Thinking
20:48 Core Skill 4: Creative Remixing
21:13 AI Agents and Automations
24:09 Vibe Coding
26:19 Action Plan
27:54 Summarizing it all and next steps
Transcript & Download:
ytscribe.com
savesubs.com
downloadyoutubesubtitles.com
downsub.com
9xbuddy.in
”pastebin.com″
- AI is becoming more powerful and more deeply
- woven into everything we do. Some people try
- to ignore it, but it's not going away. If you're
- watching this, you already knew that. You're not
- asking if you should learn AI. You're asking how.
- Whether you want to work smarter, spark new ideas,
- automate parts of your business, or just buy back
- your time, this video will give you the full road
- map. You'll learn the key concepts, the right
- tools, and a clear step-by-step action plan.
- It's simpler than you think, and by the end,
- you'll be ahead of 99% of people trying to
- figure this out. But I also know the AI landscape
- can feel overwhelming. So, before we dive in,
- let's break down the biggest barriers that keep
- most people stuck. I'm not technical. That's
- totally fine. Most modern AI tools are built for
- non-technical users. If you're even a little tech
- curious and willing to learn and experiment, which
- you probably are if you clicked this video, that's
- all you need. And just to be clear, there will be
- zero coding involved here. It's changing too fast.
- Every week there's a new model, a new update,
- a shiny new benchmark. One day it's ChatGPT in
- the lead, then it's Claude, then Gemini. But the
- truth is, most of that is just noise. If you stuck
- with one solid model instead of chasing every new
- release, you'd be way better off. They all catch
- up to each other within a month anyway. What
- actually matters is the fundamentals, the core
- skills, and those don't change. I'll walk through
- all of them soon. There are too many tools. Yep,
- there are thousands, but you don't need most of
- them. In fact, you can do 90% of what you need
- with just three to five solid tools. The rest are
- either repetitive or super niche. I'll help you
- narrow down that list later in this video, too.
- I can't keep up with all the AI news. Honestly,
- don't. Unless you're creating AI content like I
- do, there's no reason to follow every headline or
- test every new tool. You're better off focusing
- on the bigger picture, the underlying trends,
- and stay aware of the updates that actually
- matter. The easiest way to do that is by
- subscribing to a couple good newsletters, people
- whose job it is to sift through everything,
- test what's worth testing, and summarize
- the highlights. There are plenty out there,
- including ones tailored to your industry. We run
- one at Futurepedia. I'm obviously biased, but I
- think it's the best. That's not the point of this
- video, though. There's no one-size fits-all here,
- but most people fall into one of three paths.
- Path one is the everyday explorer. You're not
- trying to build anything complex. You just
- want to make life easier. Summarize documents,
- write clearer emails, prep presentations,
- organize your learning. You're here for more time,
- less stress. like maybe a teacher using Chat
- GPT to draft lesson plans and tailor them to
- different grade levels or a student using Notebook
- LM to organize notes and prep for exams. Path two
- is the power user. You want to do more faster.
- Whether that's content creation, brainstorming,
- or solving problems. Maybe you're a creator using
- Perplexity for research, ChatGPT to write scripts,
- MidJourney for thumbnails, runway for B-roll, Suno
- for music, Descript for editing, and n to automate
- your posting workflow. Stacking tools can become
- extremely powerful. Path three is the builder.
- You want to go deeper. Automate tasks, build
- custom tools, or scale parts of your business.
- Tools like NADN, Manis, and Cursor. They let you
- connect apps, automate complex tasks, and build
- powerful systems all without writing code. Maybe
- you create an agent to handle support tickets or
- automate your lead genen or build an internal
- tool that saves your team hours every week.
- And just to be clear, in this video, I'm focusing
- on no code builders. Everything I'm talking about
- here is totally accessible. And the cool part is
- moving from one path to the next is easier than
- you think. You might start as an explorer and
- end up building real tools a few weeks later,
- hopefully with the help of this video. Let's
- break down a few core concepts before we jump
- into the tools. Artificial intelligence is the
- broad umbrella software designed to simulate
- human intelligence like learning, reasoning, or
- problem solving. Within that you have machine
- learning which is how AI systems actually learn
- by finding patterns in data and improving over
- time without being explicitly programmed. Then
- there's deep learning, a sub field of machine
- learning that uses neural networks. And these
- days when most people talk about AI they're
- usually referring to generative AI tools that can
- create new content, text, images, videos, music,
- and more. That's what we'll be focusing on in this
- video. I just mentioned the others to give a bit
- of context. And there will be some new terms that
- show up and I'll explain them in context. Now,
- let's talk about tools. One of the most
- important parts of this video, but also the
- one that can feel the most overwhelming. There
- are literally thousands of AI tools out there,
- but I'll break this down into five main
- categories. LLMs, research, image, video,
- and audio. Then there's one more category I'll
- cover that probably 80% of the AI tools you'll
- come across will fall into. These are specialized
- wrappers that use a foundation model and build a
- nice UI and additional features on top. There's
- more to it that I'll cover in that section,
- but understanding this makes the entire AI tool
- landscape feel less overwhelming. You don't need
- to spend hours researching every tool. Instead,
- start by identifying the problem you want to
- solve, the task that's eating up your time or
- energy, and look for the best tool to help with
- that. In a huge number of cases, the solution
- will be a large language model or LLM. The LLM
- is the most important tool in most people's AI
- toolkit. There are a ton of options and honestly,
- it doesn't matter that much which one you use.
- Maybe you go with ChatGPT because you're used
- to it, Gemini because you use Google products, or
- Claude because you like their philosophy, or Grok
- because you're an Elon fan, or Meta because you're
- into open source. They all have slightly different
- strengths and vibes, but the core functionality
- is very similar, and the underlying concepts,
- especially prompt engineering, are the same across
- the board. For this video, I'll be using Chat GPT
- in most of the examples since it's the most widely
- used, but everything I show here applies no matter
- which model you choose. These tools are all
- powered by what's called a large language
- model or LLM, a type of neural network trained
- on massive amounts of text data to understand,
- generate, and manipulate human language. They're
- incredibly versatile and powerful. People use them
- for everything from content creation and research
- to coding, translation, customer support, and
- more. This is where most people start and for good
- reason. Almost everyone can find high impact use
- cases for an LLM in their work or day-to-day life.
- Many of these models including Chat GPT, Claude,
- Gemini, and Grock are also multimodal, meaning
- they can work with more than just text. They
- can analyze images, describe visuals, and in some
- cases process video or audio. Gemini, for example,
- is currently one of the best at understanding
- video input. But here are a few terms you'll see
- around LLMs that are helpful to understand. So,
- a prompt is the instruction or input you give the
- model. A token is a small chunk of text, usually
- just a few characters or part of a word. LLMs
- process input and output in tokens, not words.
- Understanding tokens is useful when you're dealing
- with length limits or pricing, since most models
- charge by the number of tokens used. Hallucination
- is when the model makes something up, usually
- with confidence. This happens frequently, so
- never assume the answer is 100% accurate. Always
- double check important outputs. Rag or retrieval
- augmented generation. This is a setup where the
- model retrieves real data or documents to ground
- its answer instead of relying only on its training
- like searching the internet and using that
- information. Neural networks are the underlying
- architecture powering LLMs. They're inspired by
- how the human brain processes information and are
- designed to recognize patterns and relationships
- in data. You don't need to memorize these. They'll
- make more sense as we keep going and you see them
- in context. Here are a few simple use cases
- using ChatGPT. Paste in a URL and get a summary
- of an article. Upload a rough script and ask it to
- tighten the writing while keeping your voice. Drop
- in a massive PDF and get a digestible breakdown.
- Solve complex math problems. Brainstorm ideas,
- automate writing, simplify tasks, the list goes on
- and on. If you have a problem you want to solve,
- start here. If you want a full deep dive into
- everything ChatGBT can do, I've made a separate
- video on that. Another fast way to level up with
- ChatGPT is with this free ChatGPT resource bundle
- provided by HubSpot. There's a total of five PDFs
- that go in-depth on how you can utilize ChatGPT
- in your career to get ahead, solve problems or
- save time. My favorite is called supercharge your
- workday with ChatGPT. It covers specific examples
- of how ChatGPT can be used in various industries
- sales and marketing, project management,
- enhanced decision-m and problem solving,
- time management and organization. It walks through
- step by step with different tips and even has
- a section titled 100 ways to try chatbt today
- with 100 sample prompts you can use and modify
- no matter what career you have. There's sure to be
- a bunch in there that apply. And that's just one
- of the resources in the bundle. Use the link in
- the description to go download that. Thank you to
- HubSpot for sponsoring this video and providing
- free resources to the people that watch this
- channel. This next category is technically built
- on top of LLMs, but it's so useful and distinct
- in how it helps you think that it deserves its
- own category. At the core, these tools combine
- language models with real-time information and
- or your personal data sources to help you search,
- summarize, and synthesize fast. Perplexity is one
- of the biggest players here. It's an AI powered
- search engine that uses rag, retrieval augmented
- generation, to give you answers grounded in real
- sources. Tools like ChatGPT and Claude can search
- the internet, but Perplexity is built from the
- ground up to specialize in research and is so
- good at it, it's worth checking out. Another
- standout tool is Notebook LM. This might be the
- most powerful second brain I've used so far. You
- upload your own materials, notes, PDFs, articles,
- YouTube videos, and it helps you query, summarize,
- and connect them in genuinely useful ways. It's
- like having an AI research assistant that knows
- your personal knowledge base inside and out. It
- can find and locate sources directly within any
- of your documents and show you where it got it
- from. But whether you're a student, strategist,
- researcher, or just trying to think more clearly,
- these types of tools can seriously upgrade how you
- process and apply information. The image category
- has exploded, and the quality of what these tools
- can create is honestly incredible. Now, we're
- talking hyperrealistic scenes, branded graphics,
- stylized illustrations, and even clean editable
- text, all from a single prompt. Most image models
- today are based on something called diffusion.
- They start with a field of random noise and
- gradually remove that noise to reveal a final
- image that matches your prompt. Different tools
- have different strengths. The midjourney is
- still my favorite for realism and aesthetic
- quality. Chat GPT's image generator is amazing for
- interactive creation. You can generate an image,
- ask it to change small details, remove
- the background, or add new elements,
- all using natural language. Ideogram is especially
- strong when it comes to graphic design and text
- within images like posters, logos, or UI mock-ups.
- And to be clear, all of these tools can do a bit
- of everything pretty good. But depending on your
- goal, one may serve you better than the others,
- and there are far more than what I listed.
- Video is one of the fastest moving areas in AI,
- and new updates are constantly reshaping what's
- possible. Just recently, V3 from Google dropped
- a huge update that's gone super viral that you've
- probably seen. It can generate full scenes with
- synchronized video, dialogue, sound effects, and
- like emotions all from a single prompt. We can
- talk. No more silence. Yes, we can talk. [Music]
- That used to take a whole production pipeline. Now
- it happens in minutes, and Hyo 2 has pushed things
- even further with insane physics. You can create
- scenes with complex motions that felt impossible
- just months ago. The list of other amazing video
- tools is continually growing. There are two main
- ways to generate AI video. There's text to video.
- You just write a prompt and it generates the
- full scene. Then there's image to video. You
- provide a start frame, an end frame, or both, and
- the model animates from that. This gives you more
- control and lets you control the aesthetic while
- guiding the action through prompting. There are
- additional tools that let you animate characters
- using real motion. Runways Act 2 lets you upload
- a video of yourself or someone else and drive a
- character or scene with that motion. Mo is really
- good with restyling footage into any style you
- can imagine. Topaz can creatively upscale videos,
- enhancing the quality while reimagining
- the details. There's a ton of fun stuff
- to play with here, and it's evolving fast. Many
- people are using it to go viral on social media,
- but also to create full music videos or even
- advertisements for major companies. There are
- a few main areas in AI audio. Text to speech has
- come a long way, and 11 Labs is still the leader
- here. You can generate hyperrealistic voiceovers,
- clone your own voice, or create custom voices
- with different accents and tones. Write a script,
- pick a voice, and generate a polished narration in
- seconds. These voices can sound very natural and
- conversational. It's amazing. Music generation is
- a category that's kind of mind-blowing. There's
- a few key players here, mostly suno and yo, that
- let you create fulllength multi-instrument songs
- with singing just from a text prompt. [Music]
- champagne and cyanide.
- Or you can also guide the generations by uploading
- a reference track. [Music] Then there's voice
- input like what you can do in chat GPT. You can
- talk to it in real time and it responds with a
- natural conversational voice. It's surprisingly
- fluid, like having a back and forth conversation
- with a super helpful assistant. Isn't that right?
- Exactly. It's pretty cool how natural it can feel,
- right? It's almost like chatting with a friend who
- just happens to know a ton of stuff. It definitely
- makes things super convenient, especially
- when you're on the go or multitasking.
- And then pushing things even further, tools like
- Google AI Studio can listen to your voice and
- watch your screen at the same time, giving you
- real-time guidance or instructions as you work.
- I've used this before as an assistant to help
- me learn new softwares. Yeah. What's next? The
- background is still there. Okay. Now, go to
- the effect controls panel at the top left of
- the screen. There you should see the options
- for the ultra key effect. Click the eyropper
- icon next to the key color option and then click
- on the blue background in the program monitor.
- There's one additional category I want to cover.
- Let's call it specialized rappers for now. You'll
- see thousands of tools online that look brand
- new, but under the hood, most of them are just
- custom interfaces built on top of foundational
- models like chatbt, Claude, or Gemini. They're
- designed for very specific use cases, things like
- writing emails, fixing resumes, reviewing PDFs,
- or generating marketing copy. and they usually
- add a clean UI, some guard rails, and pre-loaded
- prompt engineering to make those models easier
- to use for that one task. And that's not a bad
- thing. These tools can be genuinely useful. But
- it's important to understand what you're actually
- looking at. Just ask yourself, is this a new
- capability or just a polished wrapper? If it's the
- latter, you might be able to recreate it yourself
- inside Chacht with a well-crafted prompt and a few
- examples. From there, it's a choice. Do you want
- to pay for the convenience and user experience,
- or would you rather build it yourself? that might
- take more time but could be more cost-effective
- and customizable. That said, some platforms go far
- beyond basic rappers. They combine multiple tools
- into full endto-end workflows. For example, a
- marketing platform that writes ad copy, generates
- branded visuals and videos, runs Facebook ad
- campaigns, and then AB tests the results all
- automatically. And those can be game changers
- for the right use case. And could you recreate
- something like that with LLMs, automations, and
- custom agents? Absolutely. And I'll show you how
- later when we get to those sections. That's where
- we're changing paths from the power user to the
- builder. It involves a lot more setup, testing,
- and trial and error. For many people, paying an
- extra $20 or $50 a month is worth avoiding that
- hassle. My goal here isn't to tell you which
- path to take, just to help you clearly see what
- these tools are, why they exist, and how to decide
- what's worth your time and money. Those are the
- main categories. And to cut the learning curve on
- some of these tools, we do have an entire learning
- platform on Futurepedia. There's over 20 full deep
- dive courses into all aspects of AI, including
- courses on most of the leading tools like chatbt,
- notebook, LM, midjourney, and others. Then many
- of the skills and other aspects I'll cover like
- prompt engineering or building a chatbot for
- your site. There is a whole library if you want
- to take the next step there. Of course, there's
- other resources across the internet, but we have
- tried to make this the most userfriendly and
- comprehensive platform for learning AI. But
- moving on, let's zoom out for a second. The
- tools will change. The features will evolve,
- but these four core skills will stay useful no
- matter what. Prompting is the most essential
- skill. Learning how to clearly communicate with
- AI will get you better, more useful responses.
- You don't need advanced prompt engineering for
- most tasks, but a few simple best practices can
- dramatically improve your results. Just start by
- being specific. If you use vague prompt, catch PT
- has to guess what you really want and fill in all
- the gaps. One of the easiest ways to improve those
- prompts is to follow a simple structure. Aim,
- context, rules. Aim is what do you want the AI
- to do? Write a product description. Explain
- this concept. Brainstorm five ideas. Number
- two is context. This is critical. Give the model
- relevant background and information. Who is this
- for? What's it about? Like for a Gen Z audience
- based on this resume from these bullet points. Or
- a powerful form of context is examples, especially
- in writing. If you want a specific tone or format,
- include a sample. Then number three is rules. Add
- any limits, formatting, or style preferences. Use
- bullet points. Keep it under a 100 words. Use
- simple language. Respond with JSON. Make it
- sound like a friendly expert. Include a table
- or flowchart. Let's do a quick example. So,
- here's a vague prompt. Write a blog post about
- productivity. After I send that, you can already
- see what it had to guess. Who was the audience?
- What kind of tone do you want? How long should
- it be? What kind of productivity are we talking
- about? That's a vague term. Now, compare it to
- this. I'm a business productivity coach. Write
- a 500word blog post for busy entrepreneurs about
- how to plan a productive Monday. Make it casual
- and include three actionable tips. End with a
- motivational quote. This is much more useful. It
- doesn't matter if you follow the aim context rule
- structure in the exact order. What matters is that
- you cover those elements. Like in this example,
- aim is write a 500word blog post. Context
- is I am a business productivity coach for
- busy entrepreneurs about planning Mondays.
- Rules was 500 words, casual tone, three tips,
- end with a quote. And in the case of a blog post,
- you'll typically have previous blog posts that
- you can upload to ask for it to write in your
- style. You can just add to the end, here's an
- example blog post. Write in this style. Easy.
- Roll prompting is another powerful technique.
- It's like a shortcut that instantly shifts the
- tone, perspective, and depth of the response just
- by telling the model who it is. Here's a quick
- example. You are a travel vlogger. Describe the
- experience of visiting Tokyo for the first time
- versus you are a business travel consultant.
- Describe the experience of visiting Tokyo for
- the first time. This is a simplified example, but
- notice how much of the context and tone is shaped
- just by assigning a role. even before adding the
- additional details you normally would. The first
- response will tend to focus on food, culture,
- street scenes, and sensory details. The second
- will highlight airport efficiency, transportation,
- meeting spaces, and business etiquette. It's the
- same city, same question, completely different
- output. Now, over time, you'll start thinking
- this way naturally. You won't always follow
- a strict order like aim, context, rules. It will
- all be included, but mixed in together naturally.
- The key is just to think clearly about what you
- want, who it's for, and how it should sound. That
- mindset will help no matter what you're trying to
- create. The more you practice, the more powerful
- it becomes. For a deeper dive, I'd recommend this
- resource that has a bunch of additional tips and
- techniques you can use. You don't need to know
- every AI tool, just the landscape. Understand
- the main categories and what's possible.
- That way, when you run into a problem,
- you'll recognize that it's solvable, and you'll
- know where to start looking. Workflow thinking
- is the ability to break big tasks into smaller
- steps that AI can help with. If you try to throw a
- huge multi-step request at an LLM all at once, it
- usually falls apart. But if you break it up into
- clear steps and use the right tools for each one,
- you'll get way better results. Sometimes it might
- seem like a task can't be done with AI, but maybe
- 80% of it can. That's still a massive timesaver.
- Creative remixing is the skill of combining tools
- in unexpected ways. Not always to follow a plan,
- but to explore what's possible. Sometimes you
- start with a clear goal. Other times you try
- something, get an interesting result, and decide
- to follow that direction instead. This happens a
- lot with AI, especially the creative tools. The
- results aren't always predictable, but sometimes
- leaning into what the AI is good at produces
- better results than sticking rigidly to your
- original plan. Now, it's time to level up. Once
- you understand how individual tools work and start
- linking them together, you can begin automating
- tasks. That means building workflows that complete
- steps for you without manual input. Platforms like
- Zapier and Make have been around for years to do
- this, but Naden has become especially popular
- lately. Part of that verality is because it
- lets users sell workflow templates, and that has
- led to some grifting. You know, make $1,000 a day
- on autopilot if you buy my $50 template, that
- kind of thing. So, if you're watching YouTube
- videos about it, just know what to look out for.
- That said, the platform itself is incredibly
- powerful. And one big reason for its rise is the
- introduction of the AI agent node. That's one of
- the most intuitive ways to build agents. So, it's
- a great entry point into one of the most hyped and
- genuinely useful concepts in AI. And there's an
- important distinction here between automations
- and agents. Automations are fixed. They follow
- a step-by-step sequence A to B to C. Even if
- they get complex with branching logic, they still
- follow a predetermined path. Agents are dynamic.
- They can reason, make decisions, and choose which
- actions to take based on context. To function,
- an agent needs three things. A brain, usually a
- large language model, memory to retain context
- or past interactions, and tools, actions it can
- take, like sending messages, updating documents,
- triggering workflows, or calling APIs. A great way
- to practice is by slowly building an AI personal
- assistant. You start simple and add tools and
- functionality as you go. So, maybe you start just
- with an agent that reads your calendar and gives
- you a quick summary of your day, prioritizing
- what matters most. Then you add the ability
- to reschedule events or time block. And after
- all that, maybe it starts reading and summarizing
- your emails and eventually even sending replies on
- your behalf. Then you could give it access to your
- SOPs or notion docs for added context and connect
- everything through a simple chat interface. And
- that could just be in Telegram or WhatsApp. Over
- time, you'll be able to just send a quick message
- like something came up, rearrange my schedule
- for tomorrow, and it will be able to execute
- that. Or it could be summarize anything urgent
- for me today or write me hooks for a video on AI
- agents inspired by my hook database in notion or
- summarize the comments on my latest YouTube video.
- You can build in all sorts of things that apply to
- you. And I recommend starting with something like
- this because you'll catch every error and it's a
- safe way to experiment, debug, and iterate before
- building agents that run inside your business. I
- do have a full video on how to build this kind of
- workflow if you want to go deeper. It is probably
- the most straightforward agent guide out there.
- And I'll mention you may already be using agents.
- Chat GPT's deep research mode or the similar
- feature in perplexity in Gemini. It's a simple
- but powerful agent. So you give it a research
- task and then it plans the best way to approach
- it. It searches multiple sources all over the
- internet, identifies gaps, pivots its strategy,
- and then compiles everything into a clean report.
- It is incredibly useful. But learning how to build
- your own agents that give you that same kind
- of reasoning and execution power tailored to
- whatever task you choose is the next level. Vibe
- coding is a new approach to building software and
- tools that's emerged from some of the later
- AI updates. But here's the basic idea of how
- vibe coding usually works. You describe what you
- want in plain language using voice or text. The
- AI generates the code or a basic app structure.
- You test it, see what works and what doesn't. You
- describe your changes. Then the AI updates the
- app. And you just repeat that until it's working
- the way you want. You're just going with the flow
- of what the AI gives you, vibing, until you get
- something functional with no coding required.
- Now, this isn't at the point where you'll get
- full-scale productionready software through vibe
- coding, unless you're Jack Dorsey, I guess, but
- you can get a proof of concept prototype or an MVP
- you can test. I mean, there are cases of people
- fully vibe coding apps and publishing them to the
- app store. But an amazing way a lot of people are
- using this right now is building personal
- use tools or internal apps that streamline
- their own productivity. Like for example, you
- might build a lightweight CRM just for your
- sales workflow or a content creation app with
- your voice and hook templates and storytelling
- formats built in. A few tools that support this
- kind of workflow. Windsurf lets you build simple,
- usable apps with a polished interface. No code
- required. It's best for MVPs or internal tools.
- Lovable is designed for solo creators and small
- teams. It helps you design and build AI powered
- products quickly with a focus on user experience.
- Replet lets you build and test full apps with a
- clean UI all in your browser. It's good for rapid
- prototyping, especially with some light technical
- knowledge. Cursor is the most powerful. It's a
- desktop coding environment powered by AI. This is
- ideal if you already know a bit of code and want
- hands-on control. You can use it if you don't know
- how to code, but it will look more intimidating
- when you first start. But why this all matters is
- it makes software creation more accessible than
- it's ever been. If you're building for yourself
- or just testing an idea, it's often faster and
- more enjoyable than traditional coding. And as
- the tools get better, more people will be able
- to replace subscription-based SAS tools with
- personalized versions just by prompting for them.
- Now, I don't have a deep dive video on this yet. I
- haven't gotten to the level of expertise I'd want
- before making one, but if you want to go further,
- there are already a lot of good resources out
- there to explore. To make this actionable, I've
- broken it down into a simple plan. First, identify
- the biggest pain points in your life, work,
- or business, like what causes the most stress or
- procrastination, and what takes the most time.
- Next, write out what a potential solution could
- look like, even if it feels rough or incomplete.
- Then, research tools could help solve it, and
- ask ChatGPT to help. In many cases, it will be
- a large language model like ChatGPT, but based on
- the categories I covered earlier, you should have
- a pretty good idea where to look if it's not. From
- there, iterate. You may need to break it up into
- subtasks or use a bit of the prompt engineering
- we covered. You don't need to get it perfect right
- away, but just make adjustments, iterate until you
- can solve that task. Just dedicate whatever time
- you can to this. You don't have to go all in.
- Even 15 minutes a couple times a week can lead
- to serious time savings later on. Now, in parallel
- with this, just try exploring new tools. If you're
- already using ChatGPT, try doing something
- new inside of it, like creating a project,
- generating an image, making a mind map, or
- analyzing a document or data set. It has way more
- built-in capabilities than most people realize.
- I've got videos that cover all of them. I'd also
- recommend experimenting with tools like Perplexity
- and Notebook LM. They're both incredibly useful
- and their free versions give you a lot to work
- with. And once you've explored individual tools,
- start combining them. Just build a simple
- workflow that connects two or more. Then
- take the next step and automate something. Pick a
- basic repetitive task and set up a simple workflow
- that does it automatically. Once you get over
- the hurdle of building your first automation,
- you'll start seeing opportunities everywhere.
- So to sum all that up, start with a pain point,
- find the right tool, iterate, combine, then
- automate. That's the full road map. Don't just
- use AI because it's cool. Use it to actually solve
- problems. Start with one friction point in your
- life or work and see how far you can get with the
- tools and concepts I covered today. Most of this
- will come a lot easier than you first expect, and
- you don't need to keep up with every new release.
- The tools will keep changing. The core skills and
- principles won't. Even if you only apply a small
- part of what we covered here, you're already ahead
- of 99% of people. And if you do want to go deeper,
- we've built a full course platform at Futurepedia.
- It has over 500 lessons across over 20 AI courses.
- You'll find full learning paths on chat GPT,
- prompt engineering, automation, custom GPTs, video
- generation, coding with AI, and more. All included
- in one subscription. So whether you're just
- getting started, you're building internal systems,
- or applying AI in your business, there's probably
- a course that fits exactly where you're at. You
- can get a 7-day free trial using the link in
- the description. Or if courses aren't your thing,
- the newsletter will keep you in the loop with the
- most important updates. But bottom line, you don't
- need to master everything today, but the next step
- is to just keep going. If you're ready for that,
- this video is the one I'd recommend watching next.
”Title
–
”Title
–
