I have been learning how to make agentic workflows and I now want to build inbound lead qualification and speed to lead systems for small to medium sized businesses. I am now unsure about how to get my first client. i will be doing this for free for my first few clients to prioritise experience and case studies. I wanted to do cold email, but in order to automate a high volume, it cost too much upfront, as I basically have about £30 to spend right now. So i am considering cold calling, and also reaching out to about 20 people on Linkedin a day, and basically making custom Loom videos for each person and sending them that in Linkedin with my outreach message while also emailing them. I am loking for some advice abouut how to obtain my first client. Could somebody help me with this?

As part of my daily challenge, I’m creating a new prompt each day to level up my AI Agent skills — aiming for professional-level agents that perform efficiently with minimal token use and cost. Today I built an AI Agent focused on trading. I’m really excited for you to try it via the link below!A quick note: the page will appear in Arabic, since most of my clients are Arabic-speaking, but it also supports English, so feel free to test it fully. Can’t wait to hear your feedback and see your experiments! 🚀 This is the link👇: https://n8n.promopulsex.com/webhook/0135d1b1-8ea6-41d0-b203-7ec0e28e1c32/chat

It’s a small and simple automation, but I’m proud of it — especially since I’ve only been learning about AI for about a week, (at 15 years old)! For this project, I used an external website called 360 Messenger for WhatsApp, which can both receive and send messages. This meant I didn’t have to deal with the official WhatsApp API. I used a module that detects when a new message arrives, allowing the whole system to run automatically in real time. Also, instead of using the paid ChatGPT API, I decided to get creative with Airtable. I set it up with two columns: - 📝 Prompt — where the incoming message text goes, along with a short prompt on what style to reply in. - 🤖 AI — which automatically generates a reply based on the prompt column of the table. This way, the setup works like a free alternative to ChatGPT’s API — no extra costs needed! To clean things up, I used a text parser to remove any weird characters or formatting from the AI’s response. I also added logic to detect whether the message came from a group or a direct chat, and reply accordingly. Overall, it’s a small project, but it was a great learning experience and a solid first step into AI automation. If anybody has any questions about this automation and how it works, or any advice about this automation, or how to proceed with learning about AI, drop a comment, and I'd be happy to potentially clear any doubts or accept advice!

I built a tool to eliminate the manual grind of sales call preparation. This Pre-Call Research Agent automatically analyzes a prospect's LinkedIn profile and company website to generate a comprehensive briefing document in seconds. Here’s what it delivers: - A concise summary of the prospect's background and role. - Key company insights and identified potential bottlenecks. - A list of predicted objections and relevant conversation starters. The Build: - Workflow Engine: n8n - Research & Analysis: Relevance AI - Frontend Interface: Base44 The value is in the time saved: this automates a process that typically takes 1-2 hours of manual research per prospect. It’s a fully functional prototype demonstrating how to connect these tools to create a powerful, time-saving asset for any sales team or agency. I'm curious to hear from you: What's the most repetitive research task in your workflow?