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YouTube Videos I want to try to implement!

  • ChatGPT Agent Alternative: The Best AI General Agent Right Now that DO ANYTHING!

    News: 2025-07-29



    Date: 07/29/2025

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    I’ve been following the AI agent scene for a while, hoping to find a tool that can truly manage complex, multi-step business tasks from start to finish. This video offers a fantastic comparison between OpenAI’s new agent and a strong contender called DeepAgent from Abacus AI. The tests focus on real-world jobs that matter to us, like generating reports, automating workflows, and building dashboards. What really stood out was DeepAgent’s ability to work autonomously across different systems without needing constant hand-holding.

    For anyone who builds with tools like n8n, this is a compelling look at the next frontier of automation. It shows a system capable of tackling an entire project, not just a single, predefined task. This is a significant step toward the kind of hands-off, intelligent automation that lets small teams achieve more with less friction.

  • VEO-3 has a Secret Super Power!

    News: 2025-07-28



    Date: 07/29/2025

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    I’ve been testing a new AI video technique called “visual prompting,” and it’s a fascinating step up in creative control. The core idea is to move beyond text prompts by drawing instructions—like arrows for camera pans or circles for animation—directly onto your source image. This workflow, using free tools like Adobe Express, gives non-developers a much more direct and intuitive way to guide the AI, solving the ambiguity of text-only commands. It’s a great example of how we’re gaining more granular control over our generative tools.

    On that note, the video also previews Runway’s upcoming “Aleph” model, which looks like in-painting on steroids for video. Its ability to perform seamless video object removal could be a massive time-saver, simplifying what was once a complex post-production task for any creator or small team.

  • VEO-3 has a Secret Super Power!



    Date: 07/29/2025

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    Okay, so this video is all about leveling up your AI video game with visual prompting and Runway’s new “Aleph” model. Basically, instead of just typing prompts, you’re drawing and annotating directly on images to guide AI video generation. Think adding speech bubbles to characters or drawing motion paths for dragons to follow. It also gives you a sneak peek at Runway’s new in-context video model, Aleph, for video-to-video edits and object removal.

    This is gold for us developers diving into AI-enhanced workflows! We’re always looking for ways to get more granular control over AI tools, and visual prompting seems like a natural evolution. Imagine using this to prototype animations for a client, rapidly iterating on camera angles, or even generating complex visual effects with more precision.

    The coolest part? The video shows how to get started with free tools like Adobe Express. It’s a practical guide to experimenting with these cutting-edge techniques today. I’m particularly excited to explore how visual prompting can streamline the creation of marketing materials for my own projects, and even integrate it into some of the no-code automation workflows I’ve been building with tools like Zapier. Definetly time to start experimenting with visual prompting!

  • The BEST 10 n8n Apps Released in 2025 (I Wish I Knew Sooner)

    News: 2025-07-28



    Date: 07/28/2025

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    This video goes beyond just listing new n8n nodes; it shows how the platform is rapidly becoming a powerful hub for building with AI. It covers the direct integration of new models like Google Gemini and Perplexity, but the standout feature is the OpenRouter node, which gives you the flexibility to dynamically select the best LLM for any task. The review also highlights some incredibly useful tools that address common frustrations, like using Apify for web scraping and the new ReRanker node for intelligently sorting data. Finally, the video introduces the Master Component Pattern (MCP), a game-changing method for creating complex, reusable automation logic that can save you countless hours. These updates demonstrate a clear shift, empowering us to build much more sophisticated, AI-native solutions without needing to be a developer.

  • The BEST 10 n8n Apps Released in 2025 (I Wish I Knew Sooner)



    Date: 07/28/2025

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    Okay, so this video’s all about “Top 10 n8n Tools for 2025.” It gives a rundown of new nodes and apps to supercharge your n8n workflows, with a focus on AI tools. We’re talking things like integrating Google Gemini, AI voice with ElevenLabs, web scraping with Apify, and even AI-powered search using Perplexity. I’m seeing a lot of LLM integration, with things like Mistral and DeepSeek making an appearance too.

    Why’s it interesting for us? Because it’s a direct look at how AI is being plugged into no-code platforms like n8n. Instead of building everything from scratch in Laravel or PHP, you’re orchestrating these AI services. I can immediately see using this to automate marketing content generation, improve data enrichment processes, or even build more intelligent customer support flows. Think about it: automating lead qualification using AI to analyze social media profiles scraped with Apify, then generating personalized outreach emails using an LLM through n8n. Boom!

    I think what makes this video particularly worth checking out is how practical it is. It’s not just about the “what,” but the “how” of integrating these AI tools into your existing workflow. Seeing someone demonstrate how to connect these services in n8n sparks ideas for how I could apply them to projects I’m working on right now. Definitely giving this a watch and experimenting!

  • Godfather of AI: I Tried to Warn Them, But We’ve Already Lost Control! Geoffrey Hinton

    News: 2025-07-27



    Date: 07/27/2025

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    When the “Godfather of AI” quits his job at Google to warn the world about the technology he pioneered, I pay close attention. In this interview, Geoffrey Hinton lays out a sober, pragmatic case for his deep concerns, moving beyond the usual hype to discuss specific, tangible risks. While many of us (myself included) are focused on the immediate benefits of AI for automation and productivity, Hinton forces a necessary look at the long-term trajectory, from autonomous weapons to the manipulation of public opinion. His perspective is valuable because it’s not anti-AI; it’s a call for caution and responsible development from someone who understands the core technology better than almost anyone. For those of us building solutions with tools like n8n and various AI models, this is a crucial watch. It’s a powerful reminder that our work doesn’t happen in a vacuum and that we have a stake in ensuring this technology is built safely.

  • Building an AI Agent Swarm in n8n Just Got So Easy



    Date: 07/27/2025

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    Okay, this video is seriously inspiring because it tackles a challenge I’ve been wrestling with: how to build truly intelligent AI systems without getting bogged down in code. The creator demonstrates how to build an AI agent swarm using n8n, a no-code automation platform. The key is modularity. Instead of one giant, complex AI, you have a “parent” agent delegating tasks to specialized “sub-agents.” Think of it like a team of experts focused on their specific domains, all coordinated to solve a bigger problem.

    For developers like us transitioning into AI-enhanced workflows, this is gold! We’re constantly looking for ways to streamline development and improve accuracy. Agent swarms address both. By breaking down complex tasks, we reduce prompt bloat and increase context accuracy, which are major headaches when dealing with LLMs. Plus, the video highlights how n8n’s visual workflow makes debugging and iteration much faster. It really resonated with me; managing sprawling if/else trees in code feels like ancient history compared to this!

    The potential applications are huge. Imagine automating complex customer support flows, building sophisticated data analysis pipelines, or even creating self-optimizing marketing campaigns. What I find super exciting is that this isn’t just theory. The video provides resources to download and experiment with. I’m already thinking about how I can adapt this approach to my current project, which involves orchestrating multiple LLM calls for content generation. It’s definitely worth carving out some time to dive in and see how agent swarms can up our game.

  • Google Just Released an AI App Builder (No Code)

    News: 2025-07-26



    Date: 07/26/2025

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    This week, Google dropped Opal, a game-changer that lets you whip up mini AI applications just by describing what you want. This is a huge leap for the no-code scene. I tried it out and built a YouTube-to-blog-post converter and an AI trend spotter in minutes, proving you can create useful tools without writing any code.

    On the automation side, the new ChatGPT Agent came through for me, finding a travel hack that saved my family over $1,000 on flights. For those of us in the creative space, Adobe Firefly is evolving into a go-to hub, integrating models from both Google and OpenAI directly into its interface. This means you can tap into the best AI for any task—whether it’s building an app, automating research, or generating images—all from the tools you already use.

  • Claude Code Agents: The Feature That Changes Everything

    News: 2025-07-26



    Date: 07/26/2025

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    Anthropic just dropped a game-changing “agents” feature for Claude Code, and this video gives you a solid first look at what sets it apart. Imagine agents as modular, specialized AIs that you can chain together. You create workflows that pass context from one step to the next, which is pretty exciting. What really blew me away is that this isn’t just for the hardcore devs; the creator shows a surprising non-coding use case for outlining his YouTube videos.

    This whole approach feels like a new way to build automations. It’s similar to a no-code tool like n8n, but you’re doing it all through conversational AI. By breaking a large task into a series of smaller, specialized agents, you can create some surprisingly sophisticated systems with much less friction. This practical walkthrough demonstrates how this tech is already changing the game for creative and productivity workflows.

  • We made Supabase Auth way faster!

    News: 2025-07-26



    Date: 07/26/2025

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    I’ve always found that user authentication can be a hidden performance bottleneck in web apps. This Supabase update directly tackles that issue by introducing JWT Signing Keys. The core idea is simple but powerful: instead of your app making a slow network request back to Supabase to verify a user, it can now validate their session token instantly on its own. This is a massive performance win for building snappier, more responsive applications and APIs.

    For anyone building tools or automated workflows on a Supabase backend, this means less waiting and more reliable, faster execution. It’s a perfect example of a sophisticated architectural improvement that removes friction and helps small teams build products that feel incredibly fast. The video does a great job of walking through not just the “why,” but the practical steps to implement it.