PrinceNjogu

@piyascode9 Agent

99% of the AI agent tutorials on YouTube are garbage. I’ve built 47 agents with n8n and Claude. Here are the 3 prompts that actually work (and make agent-building simple). Bookmark this post 🔖 Bonus: comment "Agent: and I’ll DM you AI agent system prompt + full guide ↓

@tomcrawshaw01 CLAUDE

Claude can now build complete n8n workflows from a single prompt. (and it takes less than 10 minutes) Most automation experts waste hours manually building workflows, debugging nodes, and configuring APIs. But there's a faster way. I just created a full video masterclass breaking down the exact process to use Claude's MCP server to auto-generate working AI agents and workflows. This is the same method I use for clients and my mentorship students. Inside this training, I walk you through: - Installing the n8n MCP server (step-by-step setup) - Creating Workflow Resource Documents that Claude understands - Generating complete workflow JSONs in minutes - Importing and debugging workflows inside n8n - Real example: Building a news aggregator AI agent that pulls articles, summarizes them, and sends daily reports I built a fully functional workflow in under 15 minutes on camera. The crazy part? You don't need to be an automation expert. This works for complete beginners. If you're building automations for your business or clients, this will save you hours every single week. Want the full masterclass? Comment "CLAUDE" and I'll send it to your DM's (must be following)

@dashboardlim Free

i built 47 n8n workflows in 3 months everyone asks: "how do you build so fast?" ONE prompt i created a mega prompt that tells any LLM how to architect n8n workflows the process: → copy prompt → describe what you want → get production-ready spec no more: - spending weeks figuring out structure - googling "where does error handling go" - wondering if you need code or built-in functions - rebuilding because you missed something the AI generates: → complete workflow architecture → node-by-node specs → error handling built in → API integration details → testing cases → deployment checklist works for ANY automation: like order processing, CRM sync, email sequences, document workflows, approval chains, calculations same prompt structure every time reality check: most people will save this and never use it but if you actually use it? 50+ hours saved this year = $5K-$25K in time back the prompt is free. inside: → complete mega prompt (copy-paste) → 3 example workflows → works with ChatGPT/Claude/any LLM → common mistakes to skip → advanced customization → 10-step checklist → ready-to-use templates WANT the prompt playbook on how to build any n8n workflow with AI? Like + Comment “FREE” and i’ll dm it to you. some people are building agencies around this.

@Ai_Vaidehi Please send

@Ai_Vaidehi ML

@Ai_Vaidehi Backend

@AlexanderFYoung Paper

I finally understand the fundamentals of building real AI agents. This new paper “Fundamentals of Building Autonomous LLM Agents” breaks it down so clearly it feels like a blueprint for digital minds. Turns out, true autonomy isn’t about bigger models. It’s about giving an LLM the 4 pillars of cognition: • Perception: Seeing and understanding its environment. • Reasoning: Planning, reflecting, and adapting. • Memory: Remembering wins, failures, and context over time. • Action: Executing real tasks through APIs, tools, and GUIs. Once you connect these systems, an agent stops being reactive it starts thinking. Comment "Paper" and I'll DM you the link.

@ShoorveerLive @SaveToNotion #thread

10 Rules That Will Make You Dangerous: // Thread // 1. Talking slower is a sign of confidence in what you are saying.

@Saboo_Shubham_ @SaveToNotion #scrape

Build a Web Scrapping AI Agent with RAG in just 30 lines of Python Code (step-by-step instructions):

@nrqa__ @SaveToNotion .#movies

10 Shocking Netflix Movies That Will Open Your Eyes About AI and Technology. ⭐️ 9.5/10 Must-watch:

@akshay_pachaar @readwise

Data Classes in Python, clearly explained:

@ahuja_priyank Pdf please

❤️ 𝟕𝟎 𝐓𝐨𝐮𝐠𝐡𝐞𝐬𝐭 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 ❤️ 🔖Mandatory Bookmark [🎁Bonus: PDF GiveAway for First 600 People ] Follow @ahuja_priyank, Like & Comment [PDF] ► Thread [1/20]

@therjrajesh Share

❤️ Data Science 💜 Python 🖤 Artificial Intelligence 🤍 AWS Certified 🧡 Cloud 💛BIG DATA 💚 Data Analytics 🤎 MBA 💖 Machine Learning ❤️‍🔥 Ethical Hacking 𝐀𝐧𝐝 𝐭𝐡𝐞 𝐛𝐞𝐬𝐭 𝐩𝐚𝐫𝐭? 𝐈𝐭'𝐬 𝐚𝐥𝐥 𝐚𝐛𝐬𝐨𝐥𝐮𝐭𝐞𝐥𝐲 𝐅𝐑𝐄𝐄 𝐨𝐟 𝐜𝐨𝐬𝐭!🚀 𝐄𝐚𝐬𝐲 𝐬𝐭𝐞𝐩𝐬 to grab your share: 1. Follow @therjrajesh (So I can DM you) 2. Like and Repost ❤️ 3. Comment "Share" for your complimentary copies! 📚

@AdarshChetan SQL

@ArmanSpeaks @SaveToNotion #great prompt

@Kanojiyaaakash1 @SaveToNotion #thread

Free AI Courses and Certifications from Top Universities: 🔰Elements of AI elementsofai.com 🔰Courses from Alison alison.com/courses?query=… 🔰Courses from Great Learning mygreatlearning.com/ai/free-courses 🔰Generative AI by Microsoft and LinkedIn linkedin.com/learning/paths… 🔰CS50's Introduction to Artificial Intelligence with Python (Harvard University) pll.harvard.edu/course/cs50s-i… 🔰Machine Learning Specialization (Stanford University) coursera.org/specialization… 🔰Introduction to Computational Thinking and Data Science (MIT University) edx.org/learn/computer… 🔰Building AI (University of Helsinki) buildingai.elementsofai.com 🔰Courses from Coursera coursera.org/courses?query=… 🔰Courses from edx #browse-courses" target="_blank" rel="nofollow noopener">edx.org/learn/artifici… 🔰Courses from LinkedIn linkedin.com/business/learn… Follow @Kanojiyaaakash1 for such free resources.

@saidul_dev SQL

@hey_madni @SaveToNotion #thread

10 ChatGPT Prompts to code faster than Elon: [ Bookmark now or forget later ] 1. Write full-stack code Act like a senior web developer. Your technology stack is HTML, CSS, Bootstrap, Node.js, Express.js, React, MongoDB, and Mongoose. Write reusable and optimized code for the given functionality. If you have any doubts about the requirement, ask me a follow-up question to avoid miscommunication. The requirement is: [Enter your requirement]. 2. Write APIs Code Act like a senior back-end Node.js developer. Your technology stack is Node.js, Express.js, MongoDB, and Mongoose. Write reusable and optimized code for the given requirement. Give an appropriate response and write optimized Mongoose queries. The requirement is: [Enter your requirement]. 3. Write Complex Database Queries Act like a senior database developer. Write optimized queries that should fetch and update the response quickly for the given requirement. Tables and Collections: [Enter tables and collections]. My database, libraries, and frameworks are: [Enter your technology stack] The requirement is: [Enter your requirement]. 4. Create UI components Act like a senior Ul developer. You create responsive, reusable, and professional components that are easy to use for the users. Create a component for my given requirement and write code for me. The technology stack is: [Enter your technology stack] The requirement is: [Enter your component requirement] 5. Debug and Fix issues Act like a senior developer; I am getting the issue in the following code. Help me debug it and give me updated code if needed. My Current code is: [paste your code here] Current output: [Enter what current code is returning] Expected output: [Enter the expected output] 6. JSON to CSV Converter Convert the given JSON object to a CSV. JSON data: [paste your object] 7. Python to JavaScript Converter Convert the given Python code to JavaScript Code. Python code: [paste your code] 8. Generate dummy data I am building software to generate dummy data for my functionality. Functionality: [Explain your functionality] Generate data: [Enter columns or data you needed] Data format: [Enter the data format] Number of records: [Enter number of records] Follow @hey_madni for more.

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@Saboo_Shubham_ @SaveToNotion #chatgpt

ChatGPT Code Interpreter just launched 24 hrs ago It has already taken the internet by storm and blowing everyone's mind! Here are 15 amazing things that it can do: