• MarkItDown - Make any document AI friendly (by microsoft)

    MarkItDown is a Python utility designed for converting various file types—including PDFs, Word documents, and images—into Markdown format, emphasizing compatibility with Large Language Models (LLMs) for text analysis. This tool supports a wide range of formats while maintaining essential document structures, as well as integrating seamlessly with existing LLM applications through its Model Context Protocol (MCP). Recent updates introduced breaking changes that require users to adapt their implementations, particularly concerning file handling and dependencies.

    https://github.com/microsoft/markitdown

    Someone created a pallatform for this here:
    https://markitdown.pro/

    #MarkItDown #Microsoft #Python #LLM #LargeLanguageModels #Markdown #DocumentConversion #AI #TextAnalysis #ModelContextProtocol #PDFtoMarkdown #WordtoMarkdown #Imagetomarkdown #markitdownpro #Langchain #LlamaIndex #DataConnectors #AIworkflows
    MarkItDown - Make any document AI friendly (by microsoft) MarkItDown is a Python utility designed for converting various file types—including PDFs, Word documents, and images—into Markdown format, emphasizing compatibility with Large Language Models (LLMs) for text analysis. This tool supports a wide range of formats while maintaining essential document structures, as well as integrating seamlessly with existing LLM applications through its Model Context Protocol (MCP). Recent updates introduced breaking changes that require users to adapt their implementations, particularly concerning file handling and dependencies. https://github.com/microsoft/markitdown Someone created a pallatform for this here: https://markitdown.pro/ #MarkItDown #Microsoft #Python #LLM #LargeLanguageModels #Markdown #DocumentConversion #AI #TextAnalysis #ModelContextProtocol #PDFtoMarkdown #WordtoMarkdown #Imagetomarkdown #markitdownpro #Langchain #LlamaIndex #DataConnectors #AIworkflows
    GitHub - microsoft/markitdown: Python tool for converting files and office documents to Markdown.
    github.com
    Python tool for converting files and office documents to Markdown. - microsoft/markitdown
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  • You can download Warp, an agentic development environment, for macOS, Windows and Linux. Warp allows you to use multiple AI coding agents in parallel for tasks like writing and shipping code. It is described as the fastest way to build with multiple AI agents and is available for download on macOS, Windows and Linux. The recent update, Warp 2.0, included enhancements and increased AI limits for paid plans.

    https://www.warp.dev/

    #warp #warp2.0 #agenticdevelopment #aicoding #codingagents #macOS #windows #linux #ai #parallelcoding #cursor #githubcopilot #codium #tabnine #aiassistants #codecompletion #productivitytools #developer #code #softwaredevelopment
    You can download Warp, an agentic development environment, for macOS, Windows and Linux. Warp allows you to use multiple AI coding agents in parallel for tasks like writing and shipping code. It is described as the fastest way to build with multiple AI agents and is available for download on macOS, Windows and Linux. The recent update, Warp 2.0, included enhancements and increased AI limits for paid plans. https://www.warp.dev/ #warp #warp2.0 #agenticdevelopment #aicoding #codingagents #macOS #windows #linux #ai #parallelcoding #cursor #githubcopilot #codium #tabnine #aiassistants #codecompletion #productivitytools #developer #code #softwaredevelopment
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  • The Apify Model Context Protocol (MCP) Server serves as an interface for AI applications to integrate with Apify's library of Actors for efficient web scraping and automation tasks. Users can access this server through secure HTTPS endpoints or the standard input/output method for local integrations. The MCP framework additionally allows dynamic actor management, facilitating real-time addition and execution of various Actors to enhance the capabilities of AI agents.

    Key Points
    - The Apify MCP Server connects AI applications with Apify's library of Actors for real-time web scraping and automation.
    - Users can connect to the MCP Server via HTTPS with OAuth or through standard input/output methods for local setups.
    - Before using the MCP Server, users must have an Apify account, API token, and an MCP-compatible client.
    - The server allows for dynamic actor management, enabling AI agents to discover, add, and execute Actors as needed.
    - Users can interact with the MCP Server over Server-Sent Events (SSE) for message sending and response receiving.
    - Troubleshooting tips include verifying the API token, ensuring the server runs the latest version of the MCP library, and ensuring a suitable Node.js environment.
    - Users can utilize a web-based Tester MCP Client for an accessible alternative to integrate and test capabilities without local setup.

    https://docs.apify.com/platform/integrations/mcp
    https://github.com/apify/actors-mcp-server

    #Apify #MCP #actors #webscraping #automation #AIagents #dynamicactormanagement #serversentevents #SSE #nocode #lowcode #rapiddevelopment #TesterMCPClient #webautomation #apifyactors #cloudcomputing #python #nodejs #portkey #airtable
    The Apify Model Context Protocol (MCP) Server serves as an interface for AI applications to integrate with Apify's library of Actors for efficient web scraping and automation tasks. Users can access this server through secure HTTPS endpoints or the standard input/output method for local integrations. The MCP framework additionally allows dynamic actor management, facilitating real-time addition and execution of various Actors to enhance the capabilities of AI agents. Key Points - The Apify MCP Server connects AI applications with Apify's library of Actors for real-time web scraping and automation. - Users can connect to the MCP Server via HTTPS with OAuth or through standard input/output methods for local setups. - Before using the MCP Server, users must have an Apify account, API token, and an MCP-compatible client. - The server allows for dynamic actor management, enabling AI agents to discover, add, and execute Actors as needed. - Users can interact with the MCP Server over Server-Sent Events (SSE) for message sending and response receiving. - Troubleshooting tips include verifying the API token, ensuring the server runs the latest version of the MCP library, and ensuring a suitable Node.js environment. - Users can utilize a web-based Tester MCP Client for an accessible alternative to integrate and test capabilities without local setup. https://docs.apify.com/platform/integrations/mcp https://github.com/apify/actors-mcp-server #Apify #MCP #actors #webscraping #automation #AIagents #dynamicactormanagement #serversentevents #SSE #nocode #lowcode #rapiddevelopment #TesterMCPClient #webautomation #apifyactors #cloudcomputing #python #nodejs #portkey #airtable
    Apify MCP server | Platform | Apify Documentation
    docs.apify.com
    Learn how to use the Apify MCP server to integrate Apify Actors into your AI agents or applications.
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  • Introducing MeiGen AI's "MultiTalk" , a novel framework for audio-driven multi-person conversational video generation. Given a multi-stream audio input, a reference image and a prompt, MultiTalk generates a video containing interactions following the prompt, with consistent lip motions aligned with the audio.

    ​​Realistic Conversations​​ - Support single & multi-person generation
    ​​​​Interactive Character Control​​​​ - Direct virtual humans via prompts
    ​​​​Generalization Performances​​​​ - Support the generation of cartoon character and singing
    ​​​​Resolution Flexibility​​​​: 480p & 720p output at arbitrary aspect ratios
    Long Video Generation: Support video generation up to 15 seconds

    Check out some of the video generations here :
    https://github.com/MeiGen-AI/MultiTalk

    You can try it out here on Huggin Face:
    https://huggingface.co/spaces/fffiloni/Meigen-MultiTalk

    Or check out more projects by MieGen AI here:
    https://github.com/MeiGen-AI
    Introducing MeiGen AI's "MultiTalk" , a novel framework for audio-driven multi-person conversational video generation. Given a multi-stream audio input, a reference image and a prompt, MultiTalk generates a video containing interactions following the prompt, with consistent lip motions aligned with the audio. 💬 ​​Realistic Conversations​​ - Support single & multi-person generation 👥 ​​​​Interactive Character Control​​​​ - Direct virtual humans via prompts 🎤 ​​​​Generalization Performances​​​​ - Support the generation of cartoon character and singing 📺 ​​​​Resolution Flexibility​​​​: 480p & 720p output at arbitrary aspect ratios ⏱️ Long Video Generation: Support video generation up to 15 seconds Check out some of the video generations here : https://github.com/MeiGen-AI/MultiTalk You can try it out here on Huggin Face: https://huggingface.co/spaces/fffiloni/Meigen-MultiTalk Or check out more projects by MieGen AI here: https://github.com/MeiGen-AI
    GitHub - MeiGen-AI/MultiTalk: Let Them Talk: Audio-Driven Multi-Person Conversational Video Generation
    github.com
    Let Them Talk: Audio-Driven Multi-Person Conversational Video Generation - MeiGen-AI/MultiTalk
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  • The European Commission has recently released guidelines aimed at clarifying the obligations for providers of general-purpose AI (GPAI) models under the upcoming AI Act (https://digital-strategy.ec.europa.eu/en/news/learn-more-about-guidelines-providers-general-purpose-ai-models ). These guidelines are intended to ensure that these AI models adhere to principles of transparency and comply with EU and national copyright laws (https://digital-strategy.ec.europa.eu/en/policies/guidelines-gpai-providers ).

    One of the key focuses of the guidelines is the assessment and mitigation of systemic risks associated with the deployment of advanced GPAI models, particularly those that could have significant societal impacts (https://artificialintelligenceact.eu/providers-of-general-purpose-ai-models-what-we-know-about-who-will-qualify/ ). By providing a clear framework, the Commission aims to offer legal certainty for all stakeholders involved in the AI value chain, detailing when and how these obligations will apply (https://bdva.eu/news/ec-released-guidelines-for-providers-of-general-purpose-ai-models/ ) (https://eulawlive.com/commission-publishes-guidelines-for-providers-of-general-purpose-ai-models-to-meet-ai-act-obligations/ ).

    Overall, the guidelines represent a crucial step in regulating AI technologies within the EU, fostering responsible development while addressing potential risks associated with their use (https://www.integrin.dk/2025/07/19/assisting-general-purpose-ai-models-providers-new-guidelines/ ).

    #GPAI #AIACT #EuropeanCommission #AIregulation #AIgovernance #SystemicRisk #Transparency #CopyrightLaw #LegalCertainty #ResponsibleAI #EUAIAct #AICompliance #AIethics
    The European Commission has recently released guidelines aimed at clarifying the obligations for providers of general-purpose AI (GPAI) models under the upcoming AI Act (https://digital-strategy.ec.europa.eu/en/news/learn-more-about-guidelines-providers-general-purpose-ai-models ). These guidelines are intended to ensure that these AI models adhere to principles of transparency and comply with EU and national copyright laws (https://digital-strategy.ec.europa.eu/en/policies/guidelines-gpai-providers ). One of the key focuses of the guidelines is the assessment and mitigation of systemic risks associated with the deployment of advanced GPAI models, particularly those that could have significant societal impacts (https://artificialintelligenceact.eu/providers-of-general-purpose-ai-models-what-we-know-about-who-will-qualify/ ). By providing a clear framework, the Commission aims to offer legal certainty for all stakeholders involved in the AI value chain, detailing when and how these obligations will apply (https://bdva.eu/news/ec-released-guidelines-for-providers-of-general-purpose-ai-models/ ) (https://eulawlive.com/commission-publishes-guidelines-for-providers-of-general-purpose-ai-models-to-meet-ai-act-obligations/ ). Overall, the guidelines represent a crucial step in regulating AI technologies within the EU, fostering responsible development while addressing potential risks associated with their use (https://www.integrin.dk/2025/07/19/assisting-general-purpose-ai-models-providers-new-guidelines/ ). #GPAI #AIACT #EuropeanCommission #AIregulation #AIgovernance #SystemicRisk #Transparency #CopyrightLaw #LegalCertainty #ResponsibleAI #EUAIAct #AICompliance #AIethics
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  • Orchids is an innovative web app builder that leverages artificial intelligence to enable users to create stunning websites and applications without any coding knowledge (https://www.orchids.app/ ). This platform aims to revolutionize the way individuals and businesses construct digital products by simplifying the process and enhancing design quality through AI technology (https://www.ycombinator.com/companies/orchids ).

    Users have praised Orchids for its speed and effectiveness, noting that it allows for quick launches of websites while maintaining a high standard of aesthetics (https://www.reddit.com/r/AItoolsCatalog/comments/1l65vln/orchids_a_surprisingly_fast_aipowered_site/ ). The tool is particularly well-suited for generating beautiful landing pages and other web applications, making it a preferred choice among those seeking to streamline their web development efforts (https://x.com/orchidsapp ). Additionally, Orchids provides a unique feature where users can interact with AI in a conversational manner to create designs that do not appear to be AI-generated, further enhancing the appeal of the platform (https://www.linkedin.com/posts/kevin-lu-22724b1a5_introducing-orchids-the-worlds-first-ai-activity-7348018004967768065-Est4 ).

    Overall, Orchids stands out as a leading AI-powered website builder that combines user-friendly design with advanced technology, making it an excellent option for anyone looking to develop professional-grade websites quickly and efficiently (https://www.aixploria.com/en/orchids-ai-app/ ).

    https://www.orchids.app/

    #orchids #aiwebsitebuilder #nocode #webdesign #artificialintelligence #landingpages #webappdevelopment #designai #uidesign #wix #squarespace #bubbleio #conversationalai #aitools #ycombinator #aesthetics #digitalproducts #aigenerated
    Orchids is an innovative web app builder that leverages artificial intelligence to enable users to create stunning websites and applications without any coding knowledge (https://www.orchids.app/ ). This platform aims to revolutionize the way individuals and businesses construct digital products by simplifying the process and enhancing design quality through AI technology (https://www.ycombinator.com/companies/orchids ). Users have praised Orchids for its speed and effectiveness, noting that it allows for quick launches of websites while maintaining a high standard of aesthetics (https://www.reddit.com/r/AItoolsCatalog/comments/1l65vln/orchids_a_surprisingly_fast_aipowered_site/ ). The tool is particularly well-suited for generating beautiful landing pages and other web applications, making it a preferred choice among those seeking to streamline their web development efforts (https://x.com/orchidsapp ). Additionally, Orchids provides a unique feature where users can interact with AI in a conversational manner to create designs that do not appear to be AI-generated, further enhancing the appeal of the platform (https://www.linkedin.com/posts/kevin-lu-22724b1a5_introducing-orchids-the-worlds-first-ai-activity-7348018004967768065-Est4 ). Overall, Orchids stands out as a leading AI-powered website builder that combines user-friendly design with advanced technology, making it an excellent option for anyone looking to develop professional-grade websites quickly and efficiently (https://www.aixploria.com/en/orchids-ai-app/ ). https://www.orchids.app/ #orchids #aiwebsitebuilder #nocode #webdesign #artificialintelligence #landingpages #webappdevelopment #designai #uidesign #wix #squarespace #bubbleio #conversationalai #aitools #ycombinator #aesthetics #digitalproducts #aigenerated
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  • Agnes AI is a versatile artificial intelligence platform designed to enhance productivity and collaboration in various professional settings. It offers a prospecting system that utilizes AI to identify and qualify potential clients through personalized automated interactions (https://agnesai.app/ ). Additionally, Agnes AI serves as a collaborative workspace tool, enabling teams to create documents, slides, and reports efficiently with smart content suggestions and real-time co-editing capabilities (https://www.producthunt.com/products/agnes-ai ) (https://www.producthunt.com/posts/agnes-ai ).

    The platform has recently introduced innovative features like an AI-powered slide creation tool, which aims to streamline presentation development (https://www.linkedin.com/company/agnesaisapiens ). Furthermore, Agnes AI is positioned as a next-generation unsupervised AI platform that excels in processing and making sense of unstructured data at scale, catering to the needs of modern businesses (https://x.com/agnesintel ). Overall, Agnes AI combines advanced AI functionalities to support team workflows and enhance client engagement across various industries.

    https://agnes-ai.com/
    #AgnesAI #AI #ArtificialIntelligence #ProductivityTool #CollaborationTool #Prospecting #LeadGeneration #SlidesAI #GoogleWorkspace #UnstructuredData #AutomatedMarketing #Salesforce #HubSpot #CRMAI #Teamwork #DigitalTransformation #Innovation
    Agnes AI is a versatile artificial intelligence platform designed to enhance productivity and collaboration in various professional settings. It offers a prospecting system that utilizes AI to identify and qualify potential clients through personalized automated interactions (https://agnesai.app/ ). Additionally, Agnes AI serves as a collaborative workspace tool, enabling teams to create documents, slides, and reports efficiently with smart content suggestions and real-time co-editing capabilities (https://www.producthunt.com/products/agnes-ai ) (https://www.producthunt.com/posts/agnes-ai ). The platform has recently introduced innovative features like an AI-powered slide creation tool, which aims to streamline presentation development (https://www.linkedin.com/company/agnesaisapiens ). Furthermore, Agnes AI is positioned as a next-generation unsupervised AI platform that excels in processing and making sense of unstructured data at scale, catering to the needs of modern businesses (https://x.com/agnesintel ). Overall, Agnes AI combines advanced AI functionalities to support team workflows and enhance client engagement across various industries. https://agnes-ai.com/ #AgnesAI #AI #ArtificialIntelligence #ProductivityTool #CollaborationTool #Prospecting #LeadGeneration #SlidesAI #GoogleWorkspace #UnstructuredData #AutomatedMarketing #Salesforce #HubSpot #CRMAI #Teamwork #DigitalTransformation #Innovation
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  • Pinokio is an innovative, open-source tool designed to facilitate the installation, management, and execution of server applications and AI models directly from a browser (https://pinokio.co/ ). This lightweight virtual environment simplifies the process of launching various AI models, allowing users to experiment with them on their local machines easily (https://medium.com/diffusion-doodles/pinokio-a-one-click-playground-for-running-ai-models-locally-404e121591f4 ). Unlike many commercial platforms that charge hefty fees, Pinokio provides one-click access to powerful open-source models such as Flux, Quan, and Stable, making advanced AI more accessible (https://www.facebook.com/emdottech/videos/comment-pinokio-to-get-the-ultimate-open-source-ai-tool-downloaderforget-paying-/2128374961002326/ ).

    The tool is compatible with multiple operating systems, including Windows, macOS, and Linux, and has gained popularity for its user-friendly features that enhance privacy and streamline workflows (https://www.videosdk.live/ai-apps/pinokio) (https://the-decoder.com/pinokio-3-0-brings-major-updates-to-open-source-ai-model-browser/ ). Additionally, Pinokio supports automation of AI tools and server applications, further enriching its functionality for users seeking to optimize their AI projects (https://github.com/pinokiocomputer/pinokio ). In summary, Pinokio stands out as a versatile and cost-effective solution for anyone looking to leverage open-source AI technologies locally.

    https://pinokio.co/

    #Pinokio #opensource #AI #aimodels #localAI #serverapplications #virtualenvironment #automation #machinelearning #Windows #macOS #linux #StableDiffusion #Flux #Quan #privacy #userfriendly #oneclickai #AIdownloader #localhosting
    Pinokio is an innovative, open-source tool designed to facilitate the installation, management, and execution of server applications and AI models directly from a browser (https://pinokio.co/ ). This lightweight virtual environment simplifies the process of launching various AI models, allowing users to experiment with them on their local machines easily (https://medium.com/diffusion-doodles/pinokio-a-one-click-playground-for-running-ai-models-locally-404e121591f4 ). Unlike many commercial platforms that charge hefty fees, Pinokio provides one-click access to powerful open-source models such as Flux, Quan, and Stable, making advanced AI more accessible (https://www.facebook.com/emdottech/videos/comment-pinokio-to-get-the-ultimate-open-source-ai-tool-downloaderforget-paying-/2128374961002326/ ). The tool is compatible with multiple operating systems, including Windows, macOS, and Linux, and has gained popularity for its user-friendly features that enhance privacy and streamline workflows (https://www.videosdk.live/ai-apps/pinokio) (https://the-decoder.com/pinokio-3-0-brings-major-updates-to-open-source-ai-model-browser/ ). Additionally, Pinokio supports automation of AI tools and server applications, further enriching its functionality for users seeking to optimize their AI projects (https://github.com/pinokiocomputer/pinokio ). In summary, Pinokio stands out as a versatile and cost-effective solution for anyone looking to leverage open-source AI technologies locally. https://pinokio.co/ #Pinokio #opensource #AI #aimodels #localAI #serverapplications #virtualenvironment #automation #machinelearning #Windows #macOS #linux #StableDiffusion #Flux #Quan #privacy #userfriendly #oneclickai #AIdownloader #localhosting
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  • VibeTest encompasses a range of tools and platforms focused on enhancing interactions with AI and automating quality assurance (QA) testing for websites. One of the primary offerings is VibeTest.io, which specializes in teaching prompt engineering. This platform provides hands-on coding challenges that help users effectively communicate with AI systems such as Claude and GPT-4, aiming to improve the transformation of code through better prompts (https://vibetest.io/ ) (https://github.com/browser-use/vibetest-use ).

    On the other hand, the Vibetest MCP (Multi-Channel Platform) servers automate QA testing by deploying AI agents to identify various website issues, including UI bugs, broken links, and accessibility problems. This system is designed to streamline the testing process by launching multiple browser agents that crawl and evaluate web pages for technical flaws (https://apidog.com/blog/vibetest-use-mcp/ ) (https://www.mcpworld.com/en/detail/9ab49d16442b62a5e1ec9de97e05726d ). The Vibetest-use MCP server specifically focuses on these automated testing capabilities, emphasizing its efficiency in detecting and flagging potential issues (https://github.com/luk1337/VibeTest ).

    Overall, VibeTest is at the intersection of AI prompt engineering and automated web testing, providing valuable resources for both developers looking to enhance their AI interactions and teams aiming to ensure the quality of their web applications.

    https://vibetest.io/enterprise
    https://vibetest.io/

    #VibeTest #PromptEngineering #QAAutomation #AITesting #WebTesting #VibeTestIO #Claude #GPT4 #MCP #Selenium #Cypress #AccessibilityTesting #UIBugs #BrokenLinks #AutomatedTesting
    VibeTest encompasses a range of tools and platforms focused on enhancing interactions with AI and automating quality assurance (QA) testing for websites. One of the primary offerings is VibeTest.io, which specializes in teaching prompt engineering. This platform provides hands-on coding challenges that help users effectively communicate with AI systems such as Claude and GPT-4, aiming to improve the transformation of code through better prompts (https://vibetest.io/ ) (https://github.com/browser-use/vibetest-use ). On the other hand, the Vibetest MCP (Multi-Channel Platform) servers automate QA testing by deploying AI agents to identify various website issues, including UI bugs, broken links, and accessibility problems. This system is designed to streamline the testing process by launching multiple browser agents that crawl and evaluate web pages for technical flaws (https://apidog.com/blog/vibetest-use-mcp/ ) (https://www.mcpworld.com/en/detail/9ab49d16442b62a5e1ec9de97e05726d ). The Vibetest-use MCP server specifically focuses on these automated testing capabilities, emphasizing its efficiency in detecting and flagging potential issues (https://github.com/luk1337/VibeTest ). Overall, VibeTest is at the intersection of AI prompt engineering and automated web testing, providing valuable resources for both developers looking to enhance their AI interactions and teams aiming to ensure the quality of their web applications. https://vibetest.io/enterprise https://vibetest.io/ #VibeTest #PromptEngineering #QAAutomation #AITesting #WebTesting #VibeTestIO #Claude #GPT4 #MCP #Selenium #Cypress #AccessibilityTesting #UIBugs #BrokenLinks #AutomatedTesting
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  • Ryan Carson is a five-time founder who has spent the past 20 years building, scaling, and selling startups. In this episode, he shares his playbook for using AI to build products, turning “vibe coding” into a structured and scalable approach that can replace full engineering teams.

    What you’ll learn:
    1. A simple three-file system that transforms chaotic AI coding into a structured, reliable process
    2. How to create AI-generated PRDs and task lists that actually work
    3. A step-by-step workflow using Cursor to build features systematically
    4. Why slowing down to provide proper context is the secret to speeding up your AI development
    5. How to use model context protocols (MCPs) to extend your AI’s capabilities beyond just coding
    6. Why founders can now build entire companies with minimal engineering teams and how Ryan is doing it himself

    https://youtu.be/fD4ktSkNCw4?si=cbVp__wJrmyEPObt
    https://www.ryancarson.com/about
    https://github.com/snarktank/ai-dev-tasks

    Tools referenced:
    • ChatGPT: https://chat.openai.com/
    • Claude: https://claude.ai/
    • Gemini 2.5 Pro: https://deepmind.google/models/gemini/pro/
    • Repo Prompt: https://repoprompt.com/
    • Task Master: https://github.com/eyaltoledano/claude-task-master/blob/main/docs/tutorial.md
    • Browserbase: https://browserbase.com/
    • Stagehand: https://docs.stagehand.dev/integrations/mcp-server

    #AICoding #RyanCarson #VibeCoding #ChatGPT #Claude #Gemini2.5Pro #RepoPrompt #TaskMaster #Browserbase #Stagehand #Cursor #AIAgent #ProductDevelopment #NoCode #LowCode #EngineeringTeams #PRD #ModelContextProtocols #AIWorkflow #SoftwareDevelopment #AIDrivenDevelopment #ThreeFileSystem #StructuredCoding #AIScaling
    Ryan Carson is a five-time founder who has spent the past 20 years building, scaling, and selling startups. In this episode, he shares his playbook for using AI to build products, turning “vibe coding” into a structured and scalable approach that can replace full engineering teams. What you’ll learn: 1. A simple three-file system that transforms chaotic AI coding into a structured, reliable process 2. How to create AI-generated PRDs and task lists that actually work 3. A step-by-step workflow using Cursor to build features systematically 4. Why slowing down to provide proper context is the secret to speeding up your AI development 5. How to use model context protocols (MCPs) to extend your AI’s capabilities beyond just coding 6. Why founders can now build entire companies with minimal engineering teams and how Ryan is doing it himself https://youtu.be/fD4ktSkNCw4?si=cbVp__wJrmyEPObt https://www.ryancarson.com/about https://github.com/snarktank/ai-dev-tasks Tools referenced: • ChatGPT: https://chat.openai.com/ • Claude: https://claude.ai/ • Gemini 2.5 Pro: https://deepmind.google/models/gemini/pro/ • Repo Prompt: https://repoprompt.com/ • Task Master: https://github.com/eyaltoledano/claude-task-master/blob/main/docs/tutorial.md • Browserbase: https://browserbase.com/ • Stagehand: https://docs.stagehand.dev/integrations/mcp-server #AICoding #RyanCarson #VibeCoding #ChatGPT #Claude #Gemini2.5Pro #RepoPrompt #TaskMaster #Browserbase #Stagehand #Cursor #AIAgent #ProductDevelopment #NoCode #LowCode #EngineeringTeams #PRD #ModelContextProtocols #AIWorkflow #SoftwareDevelopment #AIDrivenDevelopment #ThreeFileSystem #StructuredCoding #AIScaling
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  • A Model Context Protocol (MCP) server that provides AI assistants with comprehensive access to n8n node documentation, properties, and operations. Deploy in minutes to give Claude and other AI assistants deep knowledge about n8n's 525+ workflow automation nodes.

    n8n-MCP is a Model Context Protocol (MCP) server that provides AI assistants with comprehensive access to n8n node documentation, properties, and operations. It enables AI models like Claude to understand and work with n8n's 525+ workflow automation nodes effectively.

    Main Function Points
    - Provides structured access to 528 n8n nodes with 99% coverage of node properties and 63.6% coverage of available actions
    - Includes 90% coverage of official n8n documentation, including 263 AI-capable nodes
    - Offers a range of tools for node discovery, configuration, validation, and workflow management
    - Supports multiple deployment options, including Docker, npx, local installation, and one-click cloud deployment

    https://youtu.be/5CccjiLLyaY?si=iMKzHb24xQSJ6SMZ
    https://www.n8n-mcp.com/
    https://github.com/czlonkowski/n8n-mcp

    #n8nMCP #MCP #ModelContextProtocol #n8n #Claude #AIassistant #workflowautomation #nocode #lowcode #AIDevelopment #APIintegration #automation #Docker #npx #LangChain #Zapier #IFTTT
    A Model Context Protocol (MCP) server that provides AI assistants with comprehensive access to n8n node documentation, properties, and operations. Deploy in minutes to give Claude and other AI assistants deep knowledge about n8n's 525+ workflow automation nodes. n8n-MCP is a Model Context Protocol (MCP) server that provides AI assistants with comprehensive access to n8n node documentation, properties, and operations. It enables AI models like Claude to understand and work with n8n's 525+ workflow automation nodes effectively. Main Function Points - Provides structured access to 528 n8n nodes with 99% coverage of node properties and 63.6% coverage of available actions - Includes 90% coverage of official n8n documentation, including 263 AI-capable nodes - Offers a range of tools for node discovery, configuration, validation, and workflow management - Supports multiple deployment options, including Docker, npx, local installation, and one-click cloud deployment https://youtu.be/5CccjiLLyaY?si=iMKzHb24xQSJ6SMZ https://www.n8n-mcp.com/ https://github.com/czlonkowski/n8n-mcp #n8nMCP #MCP #ModelContextProtocol #n8n #Claude #AIassistant #workflowautomation #nocode #lowcode #AIDevelopment #APIintegration #automation #Docker #npx #LangChain #Zapier #IFTTT
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  • The free SaaS template with superpowers. An open-source, feature-rich, full-stack React + NodeJS template that manages features for you.

    Open SaaS is a free and open-source boilerplate template designed for building Software as a Service (SaaS) applications, utilizing a full-stack approach with React, Node.js, and Prisma (https://opensaas.sh/ ) (https://dev.to/wasp/from-0-to-10k-how-open-saas-became-the-free-boilerplate-devs-love-45hb ). This template is not only feature-rich but also aims to simplify the development process by managing essential features automatically (https://opensaas.sh/ ). It is completely free to use and distribute, making it an attractive option for developers looking for a cost-effective solution (https://github.com/wasp-lang/open-saas ).

    Built on the Wasp full-stack framework, Open SaaS provides a comprehensive starter kit that is well-maintained and of high quality, comparable to paid alternatives in the market (https://dev.to/wasp/from-0-to-10k-how-open-saas-became-the-free-boilerplate-devs-love-45hb ) (https://www.reddit.com/r/nextjs/comments/1btvpr7/i_made_a_free_and_open_source_saas_boilerplate_an/ ). The project has gained popularity among developers for its robustness and ease of use, positioning itself as a viable open-source alternative to existing paid SaaS boilerplates (https://news.ycombinator.com/item?id=39192304 ) (https://wasp.sh/blog/2024/01/30/open-saas-free-open-source-starter-react-nodejs ). Overall, Open SaaS stands out as a valuable resource for developers aiming to create scalable and efficient SaaS applications without incurring costs.

    https://opensaas.sh/

    #OpenSaaS #ReactJS #NodeJS #SaaS #OpenSource #FullStack #WebDevelopment #WebAppTemplate #Boilerplate #DeveloperTools #NextJS #RemixJS
    The free SaaS template with superpowers. An open-source, feature-rich, full-stack React + NodeJS template that manages features for you. Open SaaS is a free and open-source boilerplate template designed for building Software as a Service (SaaS) applications, utilizing a full-stack approach with React, Node.js, and Prisma (https://opensaas.sh/ ) (https://dev.to/wasp/from-0-to-10k-how-open-saas-became-the-free-boilerplate-devs-love-45hb ). This template is not only feature-rich but also aims to simplify the development process by managing essential features automatically (https://opensaas.sh/ ). It is completely free to use and distribute, making it an attractive option for developers looking for a cost-effective solution (https://github.com/wasp-lang/open-saas ). Built on the Wasp full-stack framework, Open SaaS provides a comprehensive starter kit that is well-maintained and of high quality, comparable to paid alternatives in the market (https://dev.to/wasp/from-0-to-10k-how-open-saas-became-the-free-boilerplate-devs-love-45hb ) (https://www.reddit.com/r/nextjs/comments/1btvpr7/i_made_a_free_and_open_source_saas_boilerplate_an/ ). The project has gained popularity among developers for its robustness and ease of use, positioning itself as a viable open-source alternative to existing paid SaaS boilerplates (https://news.ycombinator.com/item?id=39192304 ) (https://wasp.sh/blog/2024/01/30/open-saas-free-open-source-starter-react-nodejs ). Overall, Open SaaS stands out as a valuable resource for developers aiming to create scalable and efficient SaaS applications without incurring costs. https://opensaas.sh/ #OpenSaaS #ReactJS #NodeJS #SaaS #OpenSource #FullStack #WebDevelopment #WebAppTemplate #Boilerplate #DeveloperTools #NextJS #RemixJS
    Open SaaS
    opensaas.sh
    Free, open-source SaaS boilerplate starter for React & NodeJS.
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