Which AI model (GPT, Gemini, Claude, etc.) do you prefer for different tasks? For example, Which one is best for summarizing long text vs. which is best for searching the web?🤔

I built a workflow in n8n that generates MCQs based on data stored in Pinecone: 1. Storing files in Pinecone – I had constant errors with large text until I fixed it with a manual splitting workflow. It works, but it’s messy and not dynamic. 2. Creating MCQs – I upload a PDF → the AI retrieves examples of how MCQs look from Pinecone → then generates new MCQs in that style and emails them to me. My two questions: - Is there a better way to handle large text dynamically before pushing to Pinecone, instead of this fixed/manual method? - Do you think this logic actually ensures the AI will generate high-quality MCQs based on the uploaded ones, or are there flaws in the approach?

In this video I'll be telling you guys, why no one is buying your ai agents, and exactly how to fix it. And I know this works, because I used this exact method to fix my fix my own business. So grab a pen and paper, and take some notes. Hope you enjoy!

I’ve seen this happen over and over again. People jump from tool to tool, stacking workflows, building bots, connecting APIs, but at the end of the day, nothing changes in their business. Why? Because they’re trying to automate a broken process. The truth is, automation only multiplies what’s already there. - If your sales process is unclear, automation just makes confusion happen faster. - If your marketing has no structure, automation just spreads inconsistency. - If your backend is weak, automation just scales bad results. Here’s what actually works: 1. Get clarity on the one income-producing task that matters most right now. 2. Build a simple system around it, even if it’s ugly at first. 3. Then use automation to make it consistent, repeatable, and scalable. This shift was a game-changer for me. Instead of chasing shiny tools, I built automation on top of clarity, and that’s when results started coming in consistently. Question for the community: If you could pick just one process in your business to simplify and then automate, what would it be? Lead generation? sales follow-up? or customer onboarding?

Hey guys, Michael here. One of the biggest traps I see AI agency owners fall into is trying to scale too soon. I get it — once you land your first few clients, the excitement kicks in and you immediately start thinking about building a team, hiring VAs, adding new offers, or even trying to jump into paid ads. I made the same mistakes in the early stages in my AI consulting agency. But here’s the reality: 👉 Scaling something that isn’t stable yet usually makes the problems bigger, not smaller. Before you scale, you need to lock in three foundations: 1. Offer-market fit. Do you have a specific problem, for a specific niche, that people are happy to pay you to solve? If not, nothing else matters. 2. Consistent acquisition channel. Can you reliably get new conversations each week? If your calendar isn’t steady, you don’t have a growth engine yet — you have a fluke. 3. Delivery system that doesn’t depend on you alone. Even if you’re solo, you need repeatable systems for onboarding, fulfillment, and client results. Otherwise every new client just adds to the chaos. Once you have those three locked, scaling is fun. Until then, it’s premature. Here’s how I think about it: “Scaling a broken system just breaks faster.” If you’re in the early or messy middle stage, my best advice is: slow down, tighten your systems, and make sure your foundation is unshakable. Growth will actually come faster that way. —Michael