I’ve been building and collecting automation assets for my own projects for top clients, and I finally decided to share the full collection. It includes my best and most valuable 500 ready-to-use n8n templates, a 1-billion lead database, and 11 AI SaaS apps (you can rebrand and monetize them). If you’d like to check it out, just comment below and I’ll share the details with you. I’ve been using these same assets to build and sell automation systems for clients every month.

Hey everyone, Today, I'm excited to announce my new software, Relyable. After building & implementing AI Agents into businesses for over two years, we've seen firsthand the amount of testing involved in delivering production-ready AI Voice Agents. We found ourselves spending 20% of the time on development and 80% on testing. Which made us think, if testing is so critical, why aren't there more tools to help us? That's why we've built Relyable. An all-in-one testing & monitoring platform for AI Voice Agents built on the hard lessons of both our successes and failures. If this is something you're interested in or know someone that would be, feel free to book a demo with us or visit the website! https://relyable.ai Thank you so much! - Brendan

The fervor around ChatGPT’s more accessible (and more advanced) image generation capabilities has forced OpenAI to “temporarily” put a rate limit on image generation requests, according to CEO Sam Altman. “It’s super fun seeing people love images in ChatGPT, but our GPUs are melting,” he posted on X today. Altman didn’t specify what the rate limit is, but said the safeguard “hopefully” won’t need to be in place for very long as OpenAI tries to increase its efficiency in handling the avalanche of requests. Read full article: https://www.theverge.com/news/637542/chatgpt-says-our-gpus-are-melting-as-it-puts-limit-on-image-generation-requests

n8n, the powerful workflow automation platform, has just raised a massive €55M in a Series B round led by Highland Europe! This funding round marks a major milestone for the company, fueling its mission to revolutionize no-code/low-code automation: https://blog.n8n.io/series-b/

In this video, I will help you better understand what the Model Context Protocol means for building AI Agents in the simplest way possible. If you are like me, you may have been overwhelmed by the ‘Model Context Protocol’ name and may have found it hard to understand what it actually does. I will also address some limitations of the MCP and why you might want to be cautious before diving too deep into it.