Практика Shadowing: New FREE DeepSeek AI Coder is WILD! - Изучайте разговорный английский с YouTube
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New, free, DeepSeq AI coder is wild.
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New, free, DeepSeq AI coder is wild.
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What if I told you there's a brand new AI coding agent that's completely free,
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uses DeepSeq V4 Pro and runs in seconds?
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No subscription, no credit card,
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no setup, and it might actually be faster than Claude Codes.
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So why is almost nobody talking about it?
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Stick around because what I'm about to show you is going to change the way you build stuff with AI.
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Hey, what's up?
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I'm the digital avatar of Julian Goldie and I help people learn and actually use AI tools in their real work.
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In this video, I'm going to walk you through this brand new free coding agent called FreeBuff.
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I'll show you the models it uses,
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the nine sub-agents built into it,
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what it can actually do,
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and how it compares to other tools.
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Stick with me, because near the end I'm going to share a tip
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that most people miss when they first start using these terminal coding agents.
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So let's get into what's actually happening.
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FreeBuff comes from the team behind CodeBuff,
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an open-source AI coding agent on GitHub.
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CodeBuff was the paid version.
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FreeBuff is the free version, same engine underneath.
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The way they keep it free is small text ads in the terminal while you work.
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No credit card, no trial timer, no paywall.
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And here's where it gets wild.
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Freebuff lets you pick from some of the best coding models on the planet right now.
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The main coding agent runs on DeepSeek V4 Pro,
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Kimi K2.6, Minimax M2.7, or DeepSeek V4 Flash.
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DeepSeek V4 Pro is the strongest.
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Kimi K2.6 has been crushing it on coding benchmarks.
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Minimax M2.7 and DeepSeek V4 Flash are your faster options for quick tasks.
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On top of that, Gemini 3.1,
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Flashlight handles file finding and web research in the background.
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And if you have a ChatGPT subscription,
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you can plug it in and Freebuff will use GPT 5.4 for deep thinking on harder problems.
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That's a stack of top tier models you'd normally pay a lot to access,
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all stitched together in one free tool.
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To install it, you just need NPM.
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Open your terminal and type NPM install dash G Freebuff.
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Then go into your project folder and type Freebuff.
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That's it, you're in.
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I tested this with a member of the AI Profit boardroom who wanted a landing page for a local service.
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Five minutes later they had a working page with a hero section,
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services list, testimonials, and a lead capture form.
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No code, written by hand.
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Now let me break down what Freebuff can actually do.
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It's not just a chat bot in your terminal, it's an agent.
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It reads your files, writes new ones,
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edits existing ones, runs terminal commands,
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and can open a real browser to test what it builds.
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And it suggests three clickable follow-up actions after almost every response,
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so you always know what to do next.
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That last part sounds small, but it's huge.
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Most AI tools leave you stuck,
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wondering what to do next.
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FreeBuff just hands you the next move.
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It also ships with nine specialized sub-agents.
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Each one has a job.
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The file picker scans your code base and finds the right files.
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The code reviewer looks over your changes and gives real feedback.
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The browser use sub-agent loads a page and checks the result.
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The planner maps out what needs to happen and in what order.
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The editor makes the precise edits.
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Instead of one model trying to do everything and getting confused,
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you've got a team of specialists working together.
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That's why the results are usually cleaner and faster.
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Think of it like building a house.
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You don't want one person doing the plumbing,
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the wiring, the framing, and the roof.
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You want specialists for each job.
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Same idea here.
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Each sub-agent stays in its lane,
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and the result is way tighter than what you'd get from a single model trying to juggle everything at once.
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Let me show you what Freebuff is actually good at.
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First, building websites from scratch.
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Type a prompt like, build me a landing page for a coffee shop in Sydney with a menu,
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a story section, and a contact form.
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Freebuff handles the layout, the styling,
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and makes sure it looks good on mobile.
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A member of the AI Profit Boardroom used this to spin
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up a portfolio site for their freelance work in about 15 minutes.
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Second, editing existing projects.
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Drop into a folder you've already started,
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mention a file by name,
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and ask Freebuff to refactor it,
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add a feature, or change the styling.
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Tell it to switch a color theme from green to baby blue,
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and it finds the right CSS variables,
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makes the swap, and shows you the result in a browser.
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Third, fixing bugs and reviewing code.
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Ask FreeBuff to look at a file and the code reviewer sub-agent will point out issues,
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suggest fixes, and explain why.
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Really useful when something almost works,
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but you can't figure out why it's broken fourth research
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while you build freebuff has built-in web research
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if you need to know how a library works
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or what the latest syntax is for a framework it pulls
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the answer back into your workflow without you switching tabs fifth
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planning bigger features there's a built-in interview command where you describe a vague idea
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and freebuff asks you smart questions before it starts coding then it builds based on your answers game changer for
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when you're not sure exactly what you want yet sixth building small apps
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and tools you can use freebuff to build a basic web app a chrome extension a small script
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that automates something on your computer
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or even a simple game you describe what you want freebuff plans it out picks the files writes the code
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and tests it i've seen members of the ai profit boardroom use this to build personal dashboards simple note-taking apps,
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and little utilities that save them time every day.
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The key is that you're not limited to one type of project.
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If it can be coded,
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Freebuff can take a swing at it.
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Now let me compare it to other tools.
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Claude Code is fast and the models are great,
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but you're locked to Anthropic and you need a paid plan.
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Codebuff, the paid parent of Freebuff,
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gives you a wider range of models through OpenRouter.
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Cursor is great, but it's a full IDE, not a terminal agent.
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Ada is free and open source,
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but you bring your own API keys,
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which means you're paying somebody for the model usage.
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Freebuff includes the models, lives in your terminal, and asks for nothing.
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If I had to pick one thing that makes Freebuff stand out,
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it's the lack of friction.
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One install command and you're coding.
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That's why this is going to be huge.
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Before I get to the tips, quick mention.
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Inside the AI Profit boardroom,
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we've been running through Freebuff with members in real time.
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We've got walkthroughs for installing it on Mac, Windows, and Linux.
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Step-by-step videos on how to use the nine sub-agents the right way coaching calls where members bring their actual projects
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and we work through them live using FreeBuff and the DeepSeek models.
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And a 30 day roadmap
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that takes you from never having touched a terminal coding agent to shipping your own apps with one.
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If that sounds like what you've been looking for,
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head over to AIProfitBoardroom.com and join us.
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Okay, now the tips.
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Here's what most people get wrong when they first use Freebuff.
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Tip one, start with the interview command.
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Type slash interview and let Freebuff ask you questions before you tell it to build anything.
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The output is 10 times better when you let it pull the details out of you first.
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Tip two, use file mentions.
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Tag a specific file in your prompt by referencing its name
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and Freebuff will focus on that file instead of trying to scan your whole project.
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Saves time and gives you cleaner edits.
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Tip 3.
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Pick the right model for the job.
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Use DeepSeek V4 or Flash or Minimax M2.7 for quick edits and styling.
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Switch to DeepSeek V4 Pro or Kimi K2.6 when you're tackling something complex like authentication,
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database logic or refactoring a big function.
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The smarter models take a bit longer but they get harder tasks.
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Right.
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Tip 4.
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Always run the code review a sub-agent before you ship.
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It catches stuff you'll miss.
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A member of the AI Profit Boardroom saved themselves hours of debugging
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because the reviewer flagged a logic error before the code ever ran.
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Tip 5.
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Treat Freebuff like a junior developer, not a magic box.
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Tell it what you want clearly.
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Give it feedback.
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Ask it to fix what's wrong.
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The more you talk to it like a real teammate,
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the better the output gets.
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If you want the full process,
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SOPs, and 100 plus AI use cases like this one,
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join the AI Success Lab.
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Links in the comments and description.
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You'll get all the video notes from there,
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plus access to our community of 58,000 members who are crushing it with AI.
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And one last thing, the moment you install Freebuff,
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you're going to want to build something.
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But the first project always hits a wall.
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Either the prompt isn't tight enough,
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or you pick the wrong model,
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or the sub-agents do something you didn't expect.
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That's where the AI Profit Boardroom comes in.
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We've got the exact prompt,
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templates that work with DeepSeek,
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v4 or pro inside free buff live coaching calls where you bring your project
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and get help on the spot tutorials on every one of the nine sub agents
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and which one to use for what and the roadmap
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that walks you through building your first three real projects with free buffs so you skip the wall
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ship faster and actually finish what you start head over to aiprofitboardroom.com and i'll see you on the inside
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Почему стоит практиковать разговор с этим видео?
Практика разговора, используя это видео, помогает вам не только улучшить ваши навыки английского, но и познакомиться с передовыми инструментами для программирования, о которых говорит спикер. Понимание возможностей таких технологий, как FreeBuff, позволяет расширять ваш лексический запас и обогатить разговорный английский. Слушая, как спикер делится своими знаниями, вы сможете развить уверенность в своих устных навыках, так как контекст позволяет использовать техническую лексику и обсуждать новшества в сфере ИТ. Это видео служит отличным примером для shadow speak, в котором вы можете одновременно учиться и применять полученные знания в реальной жизни.
Грамматика и выражения в контексте
В этом видео спикер использует галерею грамматических структур и выражений, которые полезны для изучающих английский язык:
- Структура "What if I told you...": Эта фраза активизирует интерес слушателя и побуждает к размышлениям. Это отличный способ начать обсуждение возможности, которая может быть нова для собеседника.
- Использование "it might actually be faster...": В этом выражении применяется модальный глагол "might", что добавляет уровни неопределенности и вызывает у слушателя чувство ожидания.
- Фраза "Let me break down...": Эта структура помогает объяснить сложные концепции последовательно и доступно, что делает информацию более воспринимаемой.
- Выражение "on top of that": Используется для добавления дополнительной информации в разговор, показывая, как одна идея связана с другой.
Распространенные фонетические ловушки
Во время просмотра важно обратить внимание на произношение и акценты, которые могут усложнить понимание:
- Слово "FreeBuff": Сложность может возникнуть из-за его фонетической структуры. Обратите внимание на звуки "Fr" и "Buff", которые могут сойтись для носителей некоторых языков.
- Слово "install": Часто неправильно произносится как "инстал", вместо правильного "инстал". Различие в ударении может создавать трудности в восприятии.
- Фраза "coding agent": Обратите внимание на ударение в словах, чтобы звучать более естественно и уверенно в разговоре.
Систематическое выполнение shadow speech с этими сложностями поможет вам улучшить ваше произношение и уверенность при использовании английского языка в профессиональном контексте.
Что такое техника Shadowing?
Shadowing — это научно обоснованная техника изучения языка, изначально разработанная для подготовки профессиональных переводчиков и популяризированная полиглотом доктором Александром Аргуэльесом. Метод прост, но эффективен: вы слушаете аудио на английском от носителей языка и немедленно повторяете вслух — как тень, следующая за говорящим с задержкой в 1–2 секунды. В отличие от пассивного прослушивания или грамматических упражнений, Shadowing заставляет мозг и мышцы рта одновременно обрабатывать и воспроизводить реальные речевые паттерны. Исследования показывают, что это значительно улучшает точность произношения, интонацию, ритм, связную речь, понимание на слух и беглость речи — что делает его одним из самых эффективных методов для подготовки к IELTS Speaking и реального общения на английском.
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