Not every problem needs a complex AI agent, and in this video, I’ll show you the simple 5-step method I use to build high-ROI AI systems that actually work for real businesses. Whether it’s a smart automation or a lightweight AI assistant, this strategy is what I use for all of my automations without writing a single line of code. Here’s my 5 step playbook: 1) Learn the Foundations 2) Identify High-ROI Opportunities 3) Map Out the Entire Process 4) Plan the Architecture 5) Get to a POC & Implement Guardrails If you’re new to AI or no-code automation, this will give you a clear path to start building real systems, even if you’ve never written a line of code. Want the full course where I teach this method? Let's chat here

Does anyone have a template that can automate a messaging sequence? I want to create a flow that does a number of messages on linkedin which i can use for various different accounts so running it using a number of baserow tables to store details on accounts and messages for each phase. I cant think of the best method to get it to run as I need to have it run based on limits that are in a db for connection requests and messages. And then I have a loop back to check for replies via a webhook which would then stop any further messages Would hope to then rework for emails too Also if there is an easy way to grab a clients cookie for a different places they log in would be a bonus as means I can cut out the Cookie Editor step that a client needs to take to send me the json

In this video, I’ll show you how to connect to DeepSeek R1, a cost-effective AI model that’s 96% cheaper than OpenAI’s GPT-4 (o1 model), using n8n! Whether you're automating workflows, building chatbots, or integrating AI into your apps, DeepSeek R1 is a game-changer for affordability and performance. 🔹 What You’ll Learn: How to set up DeepSeek R1 in n8n using the Chat Model node. How to connect via HTTP Request for more advanced integrations. 🔹 Why DeepSeek R1? Cost-Effective: Save up to 96% compared to OpenAI’s o1 model. Powerful AI: Great for chat-based applications, automation, and more. Easy Integration: Seamlessly connect to n8n with minimal setup. Here is the link to the technical report mentioned in the video.

Hi guys I just need a bit of a hand with the best way to use vector stores. I have setup 2 seperate Dbs. One which has a full suite of guidelines on best practice for copy writing and then I have a second one with a document that highlights my businesses messaging guidelines. Now I have created an automated Social Media Content Agent which enables me to post curated content, personal stuff via just typing what im doing in a form or automatically based on a number of RSS feeds which summarises and creates a relevant LinkedIn and X Post. The prompts for these work fine. However I want to incorporate these 2 vector stores for them to use to be able to construct better content and to be in my tone of voice etc. However I cant work out the best way to get them incorporated.