Hi everyone! We want to start building a combined memory pool for a company so we can eventually use AI (like RAG agents) to draft letters, replies, and other communications automatically. For now, let’s keep it very simple: 👉 Step one is to store all emails from all departments in one place. 👉 Later, the AI should be able to draft responses to new emails by learning from past ones. For context, tools like Airtable are often used to store and organize data but what would be the best way to store and manage emails at scale? Here are my key questions for the community: 1. Data storage – What’s the simplest, most effective way to centralize and store emails? 2. Tools/stack – Which platforms or frameworks would you recommend for building a company-wide RAG system on top of this? Has anyone worked out such systems before? Highly appreciate your input on this. Thank you!

Hey everyone! I’m an entrepreneurial student with experience working alongside some of the world’s top business leaders, helping them scale and optimize their operations. Recently, I’ve implemented AI-driven automations for several companies I’ve worked with in the past, and the results have been great! I am just getting better with n8n-based AI automations and have a growing pipeline of opportunities. However, due to my busy schedule, I’ve had to turn down many projects. That’s why I’m looking to build a team of skilled automation learners who can help take this to the next level. If you have intermediate to advanced experience with n8n, are comfortable working with custom APIs and building efficient workflows, and are serious about making money while honing your skills, let’s connect! I’ve already monetized this, and the goal is to scale it further—so only those truly interested in growing a business around automation should reach out. Drop a comment or send me a message, and let’s build something smart together!

The cost of DeepSeek's API is unbelievable! I've also heard it's significantly more accurate in its responses compared to OpenAI. Ultimately, it seems the decision will come down to the cost of ensuring security. What solution are you using in your agentic space? I'm curious.

Hi, looking for a freelancer to help build some AI automated workflows / AI Agents with n8n. Preferebly in Europe time zone. Here's a couple use cases we'd like to start with. Let me know if you're interested and please send me your CV, portfolio of work, pricing info and anything else you feel relevant for our decision. Thanks! 1. AI Automated Headhunting Workflow: Leverage Phantombuster to scrape LinkedIn profiles or utilize the LinkedIn API to retrieve profile information. Evaluate the profiles using an LLM to assess how well they align with the requirements of a headhunting or recruiting project. 2. RAG Chatbot for Recruitment Matching: Develop a RAG chatbot to match project needs with profiles stored in our existing database. 3. Automated Meeting Notes and Social Media Content Creation: Use Fireflies.ai or a similar tool to generate meeting notes and create social media content automatically from recorded meetings. 4. Private Company Document Database with Chatbot Integration: Build a secure database for storing company documents and data, such as sales materials and contracts. Integrate this database with a chatbot for seamless access and enable Slack integration for improved team collaboration.

Hey! I've created a basic workflow to send emails to a list of database I have following @Nate Herk videos where AI Agent is to call template (google doc) and changes variable i.e. first name and business name, this data comes from google sheet. It does not retrieve perfect formatting as you see in attached screenshot, it keeps wrapping text instead of continuity in length of sentences. Also it is not following bold sentences etc. I am sure I must be doing something wrong, can someone guide on how to fix it? Maybe I should use a proper tool to retrieve email template? Thank you for your time and support!