Hi there, I am currently on the "Ai Builder Bootcamp" pathway, I'm on lesson 4 so this has taken me to the "AI Foundations" pathway, I decided to take the AI Automations course, which I've now completed and I am currently doing a couple of my own literal projects without Liams guidance, my question is where do I go from here, do I go on and do the Ai Agents course, and if so do I do 2025 or 2026 version, and then after that do vibe coding, as it says somewhere on here overtime as a builder you will want to learn all 3, or do I go back to the "Ai Builder Bootcamp" and start trying to get clients? I'm not sure which direction to go Anyone have experience or recommendations? Thank you

Hello guys. I'm Alex from Africa, specifically Kenya. I've spent the last year focusing almost entirely on AI automation. I've invested countless hours learning, building workflows, and creating solutions, but I'm honestly at a point where I'm questioning whether I should continue. I've used up most of the little money I had, and I'm now close to being broke. One challenge I've faced is that many businesses in Kenya seem hesitant to adopt AI automation. Even when they show interest, they often don't feel comfortable trusting a young person who's still trying to establish himself to implement these solutions. For those of you who've been in this industry longer, did you ever reach this stage? How did you land your first consistent clients? Did you pivot, target a different market, or simply keep going? I'm not looking for sympathy—I'm looking for honest advice from people who've been where I am. I'd really appreciate hearing your experiences and what worked for you.

Hi, i'm Francis from Lagos, Nigeria. I work as a Personal Trainer. I want to land my first client with AI Receptionist. Having financial stability and freedom to travel is key for me.

Hi there, When building AI Agents or Automations does anyone have experiences where it makes mistakes? I ask because I speak with experience that when I use gemini or chatGPT, they get information wrong ALL the time, which is why AI needs human oversight, additionally I find that if I ask AI a question, I can ask the same question a few days later and get a polar opposite answer Does anyone have experience with this?

🚀 Just shipped my first WhatsApp AI Agent for a real client (a bicycle business) — completely solo. This project reminded me that real learning doesn't come from watching tutorials. It comes from solving problems that seem impossible at first. Here's what I built: ✅ WhatsApp Automation using n8n (self-hosted on Railway) ✅ Meta WhatsApp Cloud API webhook integration ✅ AI-powered conversations using Gemini ✅ Conversation memory for each customer ✅ Human-like automated replies in WhatsApp It sounds simple when it's finished. It wasn't. Here are some of the challenges I had to overcome: • Webhook verification kept failing because Meta uses GET requests for verification but POST requests for actual messages. • "App ID already has a webhook subscription" errors caused by switching between Test mode and Published workflows. • Even after webhook verification, messages never reached n8n because the WhatsApp Business Account wasn't actually subscribed to receive events through the Graph API. • Tiny field-name mismatches between n8n nodes silently broke the AI Agent. • Hit Gemini's free-tier rate limits right in the middle of testing. The biggest lessons I learned: 1️⃣ Debugging is a skill—not proof that you're failing. Every error taught me something new about Meta's APIs, webhooks, and n8n. 2️⃣ Read the error message carefully. Most breakthroughs came from understanding what the system was actually telling me instead of making assumptions. 3️⃣ Separate verification logic from business logic. Handling Meta's GET verification separately from POST message processing made the workflow much easier to understand and maintain. 4️⃣ Building solo forces you to truly understand your entire stack. From Meta's Graph API to webhook subscriptions and n8n's execution model, I had to learn every piece. Next, I'm working on: • Making the AI sound even more natural • Adding FAQ handling • Reusing this architecture for future client projects A huge thank you to this community. Reading about other builders' debugging journeys kept me motivated when things weren't working.