I am building a customer support agent on whatsapp for a client who wants to keep the number on whatsapp business app and also have the same number handle customer follow-ups via the API, I have been on a rabbit hole trying to figure out how to set up coexistence and whether I need to use a BSP, any tips, advice, help from anyone who has experience with this would be HUGELY appreciated

Like me, you probably jumped into the automations world without understanding the basics, so I decided to do a deep dive and document my learnings: This newsletter is part of a mini-series breaking down the main concepts behind AI in plain English. No jargon. No tech-talk. No bore-fest.The mission: make AI accessible to everyone, so we can all make informed decisions about when — and how — to use it. What I will cover: 1. What is an LLM? (in plain English) 2. How LLMs differ at a high level 3. What “tokens”, “context window”, and “reasoning” mean 1. What is an LLM (in plain English)? If you use ChatGPT, Claude, Gemini, or Copilot — you’re already using an LLM. You just might not know what it actually is. LLM = Large Language Model But here’s the simple explanation 👇 An LLM is basically: > A system trained on huge amounts of text > That predicts the next best word in a sentence > Over and over again, very fast That’s it. It’s not “thinking” It’s not “conscious” It’s not “alive” It’s just incredibly good at patterns. Think of it like this: an LLM is your smartest, fastest assistant who has read most of the internet and never gets tired. You can use it to: ✔️ Think through problems ✔️ Write emails & content ✔️ Brainstorm ideas ✔️ Summarise documents ✔️ Create plans ✔️ Automate thinking The difference between “AI feels confusing” and “AI feels powerful” often comes down to ONE thing: Understanding what you’re talking to. And how to talk to it. for the second and third topic read the rest of the newsletter below: https://substack.com/inbox/post/180887995

In this video, I show you how to build a no-code AI system in n8n that automatically creates UGC (user-generated content) ads, from product photos to full video ads. This workflow utilizes Nano Banana, Veo 3.1, and Sora 2 for image and video generation, so all you have to do is upload a product image, write a short description of the features, and tell the system what type of video you want. From there, it does everything for you, automatically generating realistic, on-brand UGC visuals and short-form videos ready to use in your marketing campaigns. This template is completely free and incredibly easy to customize. As these AI image and video models continue to improve, you’ll be able to refine your prompts to get even better, more human-like results over time. You can generate high-quality 10-second videos for as little as $0.15 each, making it one of the most cost-effective ad creation systems available today. GOOGLE SHEET TEMPLATE

spent the last 24 hours testing AI image generation tools for a content creation workflow — was disappointed by the results outputted, so decided to do a deep dive. Here’s a quick breakdown based on quality, cost, speed, and n8n integration: 1. Blotato: - Great for branded visuals and faceless content pages. - Quality is decent but text rendering is hit or miss. - Fast generation (3–5s), mid-tier cost ($39/mo) - Native n8n node. 2. Freepik: - Top-tier quality, rivaling Midjourney. - Supports multiple models (Flux, Mystic, Ideogram). - Its credit system drains fast and API access is enterprise-only. - Good for one-off visuals, not bulk automation 3. Cloudflare Flux: - Production ready quality and blazing fast (3–4s via Flux Schnell). - Free if you already use Cloudflare Workers. - Fully programmable API makes it one of the best n8n-compatible choices for content workflows 4. Modal: – More of a platform than a tool. You can host Flux, ComfyUI, or Leonardo models with ultra-low latency and pay only for compute time (~$0.0003/s). - Full API support — n8n integration is seamless 5. Leonardo AI: – Consistently high-quality outputs, near Midjourney levels. - Affordable ($12/mo), generous free tier - Robust REST API for automation. - Balanced performance, making it ideal for content creators 6. Fal.ai: – API-first image engine offering various Flux and SD-based models. - Slightly slower (5–10s) but easy to deploy in n8n due to native webhooks and detailed docs. - Solid for advanced automation 7. Nano Banana (Gemini): – Delivers crisp, fast edits (around 1.8s average). - Free via Google’s ecosystem. - Limited API availability, but lightning-fast for quick AI-driven tweaks. - A hidden gem for speed 8. DALL·E 3: - (OpenAI) – Excellent prompt adherence and realistic visuals, though slower (10–15s).

Here’s how it works: Over two weeks, we'll work together to build your first AI agents. No fluff. No theory. Just hands-on building with me and the AI Automation Society team. By the end, you'll have working AI agents in your portfolio and the confidence that comes from actually doing it. You also have the foundation you need to begin charging businesses for developing custom AI agents. And the best part? The whole class is FREE (with a small catch). If you're ready to stop sitting on the sidelines, click below to grab your spot. ANNOUNCING: An automation accelerator for beginners (it's free) Talk soon, Nate PS: Some of my students are making $10,000 + from creating automations like these. If you want to start your own AI automation agency one day, this is the perfect first step.