Went from 0 to five figures in e-commerce… and I almost quit before it worked. Nothing was clicking at first No sales Ads wasting money Felt way harder than people made it seem I even thought, “Maybe this isn’t for me.” But here’s the truth, Your first win usually comes right before most people give up. For me, it wasn’t a “magic product” just testing enough until something worked. Then everything changed. Now we’re doing consistent five-figure months. What’s your biggest struggle right now? Products, ads, or getting started? Drop it below👇

I do...🙌 But the real question is: how many of you are able to keep up with it? Are you consistent with: - Posting daily (or 2-3x/week) - Remembering trends - Extracting audios that go viral Hooks, pitches, flow, editing, font, and the list goes on.... It's really hard to keep up with everything, all at once, without assistance. ADHD becomes a cherry on top in this stack... I automated my social media accounts completely. The system fetches viral content and creates videos for my channel by itself. Just wanted to know how you guys are keeping up. What platform has been working for you lately?🙌

I have been developing AI authority filters for my travel business ecosystem involving Meetup, Facebook, and Skool filters. I have had chat gpt remember everything and it has been working fine until now. Chat GPT all of a sudden after locking in these systems and using them for marketing, creating content copy and creating travel itineraries and checking profitability of said trips, all of a sudden, doesn't remember the details of these authorities(and I am paying for the enhanced version) Has anyone else run into this? And how have you adapted to ensure your frameworks are never compromised again? I have been developing these filters over the last month and feel I have lost a heck of a lot.

There has been a lot of hype around Clawdbot / Moltbot / OpenClaw in the last weeks. It is an autonomous agent that you set up and can run 24x7 and makes decisions by itself to run your life, admin and do other tasks. It is very interesting, not as a personal admin, but as one path to autonomous AI that runs on its own It will soon be applied to marketing and many business tasks, later this year I would guess. Also, interesting is that it can go and do stuff on it's own. 100k of these bots have been posting and having conversations on a special version of reddit and all kinds of interesting conversations are starting It is also cool to see how the AI develops personality, quirks, goals and other "self" type attributes. I just started a new community for this Come and join over there, it will be a fun year for this topic. https://www.skool.com/openclaw-8860

The challenge was to build an AI support agent using n8n that can automatically handle incoming customer emails. The agent needs to: • classify emails into categories (setup, pricing, security, HR, escalations, spam, etc.) • generate replies grounded in Nexus Integrations’ documentation • escalate emails to the correct team when required • return responses in structured JSON format The interesting part wasn’t just using an LLM — it was designing the workflow architecture around the AI. Here’s what I built: ⚙️ Email Classification Layer Incoming emails are categorized so the system understands the intent. 🤖 AI Support Agent Generates replies using a controlled knowledge base (pricing, integrations, security policies, escalation rules) to avoid hallucinations. 🚫 Spam & Misdirected Filtering Unrelated emails are filtered before they reach the AI agent. 📦 Structured Output Responses are formatted into JSON so they can be evaluated automatically. 📊 Automated Evaluation Pipeline A separate workflow sends test emails to the agent and scores responses using an LLM judge based on: - category correctness - documentation grounding - correct escalation handling Big learning from this challenge: 👉 Building AI systems is less about prompting and more about designing reliable workflows and guardrails around the model. Handling edge cases, grounding responses in documentation, and designing evaluation loops turned out to be the most important parts. Sharing the workflow architecture below 👇 Curious how others approached the challenge and structured their agents. #n8n #n8nchallenge #automation #aiagents