• Automate Everything for Free with OpenRouter and DeepSeek V3.0.3

    In this video, we explore the new capabilities of DeepSeek V3.0.3, a cutting-edge tool that enhances coding, logic, and reasoning. Learn how to use OpenRouter.ai to open a free API key and integrate it with various tools like Visual Studio Code, RU Code, and Client. We'll show you step-by-step how to automate processes such as creating SEO tools, scripting with AI agents, and more. Discover different routes to implement these automations via N8n, make.com, and other platforms. Join us and start automating your tasks effortlessly and for free!

    https://youtu.be/d0fQLgAClnk?si=RaxfD41a-bmMpOQ8
    #deepseek #automation #n8n
    Automate Everything for Free with OpenRouter and DeepSeek V3.0.3 In this video, we explore the new capabilities of DeepSeek V3.0.3, a cutting-edge tool that enhances coding, logic, and reasoning. Learn how to use OpenRouter.ai to open a free API key and integrate it with various tools like Visual Studio Code, RU Code, and Client. We'll show you step-by-step how to automate processes such as creating SEO tools, scripting with AI agents, and more. Discover different routes to implement these automations via N8n, make.com, and other platforms. Join us and start automating your tasks effortlessly and for free! https://youtu.be/d0fQLgAClnk?si=RaxfD41a-bmMpOQ8 #deepseek #automation #n8n
    ·474 Views ·0 Reviews
  • We introduce a groundbreaking multi-agent system for web automation that suggests that agent cardinality (the number of agents working in concert) could represent a new scaling dimension in AI, opening exciting directions for future research and applications. Our approach is directly inspired by the coordination and specialization strategies used by effective human teams. By translating human organizational principles into novel computational techniques, our system achieves state-of-the-art performance on the Mind2Web benchmark, significantly outperforming leading systems such as OpenAI’s Operator and Anthropic’s Computer Use.
    https://getinvisible.com/articles/human-inspired-agent-design-in-web-automation
    We introduce a groundbreaking multi-agent system for web automation that suggests that agent cardinality (the number of agents working in concert) could represent a new scaling dimension in AI, opening exciting directions for future research and applications. Our approach is directly inspired by the coordination and specialization strategies used by effective human teams. By translating human organizational principles into novel computational techniques, our system achieves state-of-the-art performance on the Mind2Web benchmark, significantly outperforming leading systems such as OpenAI’s Operator and Anthropic’s Computer Use. https://getinvisible.com/articles/human-inspired-agent-design-in-web-automation
    GETINVISIBLE.COM
    Human-Inspired Agent Design in Web Automation: From Principles to Practice - Invisible
    We introduce a groundbreaking multi-agent system for web automation that suggests that agent cardinality (the number of agents working in concert) could represent a new scaling dimension in AI.
    ·538 Views ·0 Reviews
  • Explore 1000+ workflow templates submitted by our global creator community

    https://n8n.io
    https://n8n.io/workflows/ - check this one out all the templates growing in numbers everyday !
    #n8n #workflows #automation #make.com #make_competition
    Explore 1000+ workflow templates submitted by our global creator community https://n8n.io https://n8n.io/workflows/ - check this one out all the templates growing in numbers everyday ! #n8n #workflows #automation #make.com #make_competition
    N8N.IO
    n8n.io - a powerful workflow automation tool
    n8n is a free and source-available workflow automation tool
    ·221 Views ·0 Reviews
  • MCP clients are shaking up the way we interact with AI agents, and This New MCP Client Lets You Integrate So Many MCP Servers. This video dives into everything from a basic MCP tutorial to advanced integrations using various MCP servers. Whether you’re running a file system MCP server, a Python MCP server, or even a Cursor MCP server, OpenMCP has you covered. We’ll also explore niche setups like Claude MCP, Anthropic MCP, and setups that utilize the model context protocol—be it Anthropic model context protocol or Claude model context protocol.

    Resources & Links:
    OpenMCP GitHub: https://github.com/CopilotKit/open-mc...
    Composio.dev (MCP Server Library): https://mcp.composio.dev/
    Notion Guide (Documentation): https://composio.notion.site/Cursor-M...

    Along the way, you’ll learn how to connect multiple AI agents, including cutting-edge solutions like the model context protocol AI agent and MCP AI agent. Plus, we’ll chat about LLM tech, integrate Cursor AI with traditional setups, and even throw in some playwright automation tips for streamlined workflows.

    In this video, I cover: What MCP and model context protocol are all about
    Why OpenMCP is a game-changer for AI and automation
    Hands-on demos with popular tools like Gmail, Notion, and Google Drive
    How to integrate AI setups—from Claude AI and Anthropic Claude to more experimental systems
    A step-by-step guide for installing and running your own MCP servers (yes, including file system, Python, and Cursor variants) without the headache of API keys and env variables

    OpenMCP is still evolving, and with all these powerful tools like Claude, Anthropic, and Cursor, the future of AI automation looks super promising. Let me know your thoughts in the comments, and if you dig this content, hit like, subscribe, and stay tuned for more cool AI-powered workflow hacks!

    https://youtu.be/xEyKT5iY0W0?si=ZvnbFqlYu-A9_0q_
    MCP clients are shaking up the way we interact with AI agents, and This New MCP Client Lets You Integrate So Many MCP Servers. This video dives into everything from a basic MCP tutorial to advanced integrations using various MCP servers. Whether you’re running a file system MCP server, a Python MCP server, or even a Cursor MCP server, OpenMCP has you covered. We’ll also explore niche setups like Claude MCP, Anthropic MCP, and setups that utilize the model context protocol—be it Anthropic model context protocol or Claude model context protocol. Resources & Links: 🔗 OpenMCP GitHub: https://github.com/CopilotKit/open-mc... 🔗 Composio.dev (MCP Server Library): https://mcp.composio.dev/ 🔗 Notion Guide (Documentation): https://composio.notion.site/Cursor-M... Along the way, you’ll learn how to connect multiple AI agents, including cutting-edge solutions like the model context protocol AI agent and MCP AI agent. Plus, we’ll chat about LLM tech, integrate Cursor AI with traditional setups, and even throw in some playwright automation tips for streamlined workflows. In this video, I cover: ✅ What MCP and model context protocol are all about ✅ Why OpenMCP is a game-changer for AI and automation ✅ Hands-on demos with popular tools like Gmail, Notion, and Google Drive ✅ How to integrate AI setups—from Claude AI and Anthropic Claude to more experimental systems ✅ A step-by-step guide for installing and running your own MCP servers (yes, including file system, Python, and Cursor variants) without the headache of API keys and env variables OpenMCP is still evolving, and with all these powerful tools like Claude, Anthropic, and Cursor, the future of AI automation looks super promising. Let me know your thoughts in the comments, and if you dig this content, hit like, subscribe, and stay tuned for more cool AI-powered workflow hacks! https://youtu.be/xEyKT5iY0W0?si=ZvnbFqlYu-A9_0q_
    ·310 Views ·0 Reviews
  • OpenAl's President, Greg Brockman, has shared a four-pillar framework to help users craft effective Al prompts. This approach aims to enhance the clarity and precision of Al-generated responses. The four pillars are:

    Define a Clear Goal: A specific objective ensures the Al focuses on relevant details. Instead of asking, “Tell me about cars,” a better prompt would be, “Compare electric and gasoline cars in terms of cost, maintenance, and environmental impact.”

    Specify the Return Format: Indicating the desired output format-such as bullet points, tables, or paragraphs-helps streamline responses. For instance, requesting a table for comparisons ensures organized and easy-to-read results.

    Adding Warnings: Incorporate instructions to enhance the accuracy of the response. For example, "List the top five safest car brands based on 2024 crash test ratings, excluding outdated information."

    Provide Context: Supplying background information or preferences personalizes the response. For example, clarifying that you need a fuel-efficient car for long highway drives can refine recommendations.

    By applying this framework, users can guide Al models to deliver more precise, structured, and relevant outputs.

    #AI #Automation #WebDev #DigitalMarketing #gregbrockman #openai #promptframework
    OpenAl's President, Greg Brockman, has shared a four-pillar framework to help users craft effective Al prompts. This approach aims to enhance the clarity and precision of Al-generated responses. The four pillars are: ✅Define a Clear Goal: A specific objective ensures the Al focuses on relevant details. Instead of asking, “Tell me about cars,” a better prompt would be, “Compare electric and gasoline cars in terms of cost, maintenance, and environmental impact.” ✅Specify the Return Format: Indicating the desired output format-such as bullet points, tables, or paragraphs-helps streamline responses. For instance, requesting a table for comparisons ensures organized and easy-to-read results. ✅Adding Warnings: Incorporate instructions to enhance the accuracy of the response. For example, "List the top five safest car brands based on 2024 crash test ratings, excluding outdated information." ✅Provide Context: Supplying background information or preferences personalizes the response. For example, clarifying that you need a fuel-efficient car for long highway drives can refine recommendations. By applying this framework, users can guide Al models to deliver more precise, structured, and relevant outputs. #AI #Automation #WebDev #DigitalMarketing #gregbrockman #openai #promptframework
    ·238 Views ·0 Reviews
  • Small teams are taking over. There's never been a better time to launch and scale fast.

    With Al, you can build quicker, automate more, and raise less. Small, agile teams are hitting massive revenue milestones in record time.

    Just look at these numbers:
    - Cursor: $0 'n $100M ARR in 21 months (20 people)
    - Bolt: $0 'n $20M ARR in 2 months (15 people)
    - Lovable: $0 'n $10M ARR in 2 months (15 people)
    - Midjourney: $0 'n $200M ARR in 2 years (10 people)
    - Mercor: $0 'n $50M ARR in 2 years (30 people)
    - ElevenLabs: $0 'n $100M ARR in 2 years (50 people)
    - Aragon.ai: $0 'n $10M ARR in 2 years (9 people)

    Who else should be on this list?

    Drop names in the comments.

    #ai #startups #automation #growth #entrepreneurship #cursor #lovable #midjourney #elevenlabs #argon #deepseek #team #work #workoutmotivation #job #jobs
    🗣️Small teams are taking over. There's never been a better time to launch and scale fast. With Al, you can build quicker, automate more, and raise less. Small, agile teams are hitting massive revenue milestones in record time. Just look at these numbers: - Cursor: $0 'n $100M ARR in 21 months (20 people) - Bolt: $0 'n $20M ARR in 2 months (15 people) - Lovable: $0 'n $10M ARR in 2 months (15 people) - Midjourney: $0 'n $200M ARR in 2 years (10 people) - Mercor: $0 'n $50M ARR in 2 years (30 people) - ElevenLabs: $0 'n $100M ARR in 2 years (50 people) - Aragon.ai: $0 'n $10M ARR in 2 years (9 people) Who else should be on this list? Drop names in the comments. #ai #startups #automation #growth #entrepreneurship #cursor #lovable #midjourney #elevenlabs #argon #deepseek #team #work #workoutmotivation #job #jobs
    Like
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    ·301 Views ·0 Reviews
  • BUILD: Prompt, Run & Deploy

    An AI automation framework that helps you develop and deploy entire projects.

    - Real-time code generation with modular project structure creation
    - Supports 25+ frontend and backend frameworks
    - Generates essential files like package.json, tsconfig.json, and starter templates instantly
    - One-click deployment to hosting platforms and integration with Supabase
    Quick access: Ctrl+Shift+K (Windows) or Cmd+Shift+K (Mac)

    https://www.gocodeo.com/
    https://marketplace.visualstudio.com/items?itemName=GoCodeo.gocodeo

    #gocodeo #nocode #vscode #vscodeextension
    BUILD: Prompt, Run & Deploy An AI automation framework that helps you develop and deploy entire projects. - Real-time code generation with modular project structure creation - Supports 25+ frontend and backend frameworks - Generates essential files like package.json, tsconfig.json, and starter templates instantly - One-click deployment to hosting platforms and integration with Supabase Quick access: Ctrl+Shift+K (Windows) or Cmd+Shift+K (Mac) https://www.gocodeo.com/ https://marketplace.visualstudio.com/items?itemName=GoCodeo.gocodeo #gocodeo #nocode #vscode #vscodeextension
    WWW.GOCODEO.COM
    GoCodeo - AI Coding Agent
    The ultimate AI coding agent for engineers. Build, Ask, and Test with real-time AI assistance powered by SOTA LLMs. GoCodeo automates production-ready code generation, enhances productivity, and seamlessly integrates with your IDE. It is the future of software development.
    ·256 Views ·0 Reviews
  • Website: https://www.edenai.co/
    Docs: https://docs.edenai.co/docs/quickstar...

    With Eden AI, you can seamlessly access 100+ AI models, build advanced workflows, and integrate RAG (Retrieval-Augmented Generation), all within a simple, intuitive interface. Whether you're automating tasks, designing AI models, or working on complex applications, Eden AI provides everything you need to streamline your development process.

    In this video, you’ll learn:
    How Eden AI gives you unified access to powerful AI models through a single API.
    How to effortlessly design custom workflows using Eden AI’s drag-and-drop interface.
    The power of combining multiple AI models in a single workflow for improved accuracy and efficiency.
    The convenience of no-code app development that eliminates the need for technical expertise.
    Why Eden AI’s integrated tools and features make it the best choice for modern AI developers.

    Whether you're a beginner or an experienced developer, Eden AI's versatile platform makes building, testing, and deploying AI applications easier than ever. Don't miss out on this game-changing technology!

    https://youtu.be/gfNx7gGitlo?si=ANCEHf-uR5LbNLog
    #EdenAI #AIPlatform #NoCodeDevelopment #AIAutomation #MachineLearning #AppDevelopment #AIModels #WorkflowAutomation #TechInnovation #MultiAPISystem #AI #FullStackAI
    Website: https://www.edenai.co/ Docs: https://docs.edenai.co/docs/quickstar... With Eden AI, you can seamlessly access 100+ AI models, build advanced workflows, and integrate RAG (Retrieval-Augmented Generation), all within a simple, intuitive interface. Whether you're automating tasks, designing AI models, or working on complex applications, Eden AI provides everything you need to streamline your development process. In this video, you’ll learn: How Eden AI gives you unified access to powerful AI models through a single API. How to effortlessly design custom workflows using Eden AI’s drag-and-drop interface. The power of combining multiple AI models in a single workflow for improved accuracy and efficiency. The convenience of no-code app development that eliminates the need for technical expertise. Why Eden AI’s integrated tools and features make it the best choice for modern AI developers. Whether you're a beginner or an experienced developer, Eden AI's versatile platform makes building, testing, and deploying AI applications easier than ever. Don't miss out on this game-changing technology! https://youtu.be/gfNx7gGitlo?si=ANCEHf-uR5LbNLog #EdenAI #AIPlatform #NoCodeDevelopment #AIAutomation #MachineLearning #AppDevelopment #AIModels #WorkflowAutomation #TechInnovation #MultiAPISystem #AI #FullStackAI
    ·1K Views ·0 Reviews
  • AI Agent Store - Here you'll find a comprehensive AI agent marketplace, top AI agents directory, and a new AI Agency list for all your AI automation needs. Think of it as a store filled with specialized AI assistants, each designed to help in different ways. Buy or find a free AI agent suitable for the job which needs to be done.

    Browse curated collection which includes:
    - Ready-to-use AI agents
    - Top tools and frameworks to build your own agents
    - Platforms that help you create and manage agents
    https://aiagentstore.ai/
    AI Agent Store - Here you'll find a comprehensive AI agent marketplace, top AI agents directory, and a new AI Agency list for all your AI automation needs. Think of it as a store filled with specialized AI assistants, each designed to help in different ways. Buy or find a free AI agent suitable for the job which needs to be done. Browse curated collection which includes: - Ready-to-use AI agents - Top tools and frameworks to build your own agents - Platforms that help you create and manage agents https://aiagentstore.ai/
    AIAGENTSTORE.AI
    AI Agent Store: AI Agent Marketplace/Directory, AI Agency list
    AI Agent Store: AI agent marketplace to find AI agents or list your own. Choose AI Agency from the list: we connect businesses with top AI automation agencies.
    ·808 Views ·0 Reviews
  • Texsted out Proxy AI and here is my frank observation:
    - Idea is amazing and various influencers compared it to the OpenAI operator
    - It shows the steps it takes and it seems reasonable to make scheduled processes (Automations)
    - offers Scheduled Automations which are amazing
    - It sticks to the 5 sessions a day strictly regardless if the AI gets stuck or prematurely exits/finishes task whether it was done correct or not
    - AI agent can get stuck browsing a single page for all steps unti it exhausts max number of steps allowed per session (you may have to mentione in prompt AI should not visit/research same page more than once)
    - there are roughly 38- 40 steps per session and if your agent is not able to complete tasks withing those allocated session stops and you have to start entirely new session (for trial accounts only of course)

    Overall this does seem worth the $20 tag particularly for the automations and templates available.
    Texsted out Proxy AI and here is my frank observation: - Idea is amazing and various influencers compared it to the OpenAI operator - It shows the steps it takes and it seems reasonable to make scheduled processes (Automations) - offers Scheduled Automations which are amazing - It sticks to the 5 sessions a day strictly regardless if the AI gets stuck or prematurely exits/finishes task whether it was done correct or not - AI agent can get stuck browsing a single page for all steps unti it exhausts max number of steps allowed per session (you may have to mentione in prompt AI should not visit/research same page more than once) - there are roughly 38- 40 steps per session and if your agent is not able to complete tasks withing those allocated session stops and you have to start entirely new session (for trial accounts only of course) Overall this does seem worth the $20 tag particularly for the automations and templates available.
    ·814 Views ·0 Reviews
  • UI-TARS is a next-generation native GUI agent model designed to interact seamlessly with graphical user interfaces (GUIs) using human-like perception, reasoning, and action capabilities. Unlike traditional modular frameworks, UI-TARS integrates all key components—perception, reasoning, grounding, and memory—within a single vision-language model (VLM), enabling end-to-end task automation without predefined workflows or manual rules.

    Useful Links:
    - https://github.com/bytedance/UI-TARS?tab=readme-ov-file
    - https://github.com/bytedance/UI-TARS/blob/main/README.md
    - https://sourceforge.net/projects/ui-tars-desktop.mirror/
    - https://www.producthunt.com/posts/ui-tars-desktop
    -
    UI-TARS is a next-generation native GUI agent model designed to interact seamlessly with graphical user interfaces (GUIs) using human-like perception, reasoning, and action capabilities. Unlike traditional modular frameworks, UI-TARS integrates all key components—perception, reasoning, grounding, and memory—within a single vision-language model (VLM), enabling end-to-end task automation without predefined workflows or manual rules. Useful Links: - https://github.com/bytedance/UI-TARS?tab=readme-ov-file - https://github.com/bytedance/UI-TARS/blob/main/README.md - https://sourceforge.net/projects/ui-tars-desktop.mirror/ - https://www.producthunt.com/posts/ui-tars-desktop -
    ·811 Views ·0 Reviews
  • https://browser-use.com
    Browser Use is the easiest way to connect your AI agents with the browser. It makes websites accessible for AI agents by providing a powerful, yet simple interface for browser automation.
    https://browser-use.com Browser Use is the easiest way to connect your AI agents with the browser. It makes websites accessible for AI agents by providing a powerful, yet simple interface for browser automation.
    ·655 Views ·0 Reviews
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