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.

If success was guaranteed, what fear, habit, or challenge would you stop letting hold you back? What's your biggest roadblock right now? No filters, No perfect answers. Share it below, then find one person in the comments and leave them a helpful tip, question, or a few words of encouragement. Let's make this a conversation, not just a comment thread

why I chose this path? I find joy in meeting and getting to know people, be genuine, and help. I will be skilled at letting them know I'm serious about not only my path, but my clients as well. what am I most excited for? continuing to learn and grow. this is only the beginning...

Hi there, Matt here I'm from the UK, I work in the motor trade, I do admin for service and parts, I'm very comfortable using computers and learning new software and systems. My goal is replace my full time job and maybe build a personal brand off the back of it. I'm doing this because I want to live life on my terms rather than building someone else's dream and given my comfort with using computers I believe my skills are best suited here and gives me the best chance of succeeding in life Look forward to getting to know you all 😀