In the tantalizing exploration found in the video “Google Opal: Is this the end of N8N and Make? (Full No‑Code Tutorial)” by Mithun Mohan, aired on July 30, 2025, the AI community is introduced to Google’s latest entry into the no-code arena: Opal. This technology, promising to revolutionize AI-powered apps by eliminating the need for traditional coding, sets itself as a potential contender in automation, poised against established platforms like N8N, Make, and Zapier. The compelling question presented is whether Opal truly signifies an innovative leap or just another option within the crowded no-code marketplace. The service uses Google’s acclaimed Gemini 2.5 AI, unlocking a seamless transition from idea to application by leveraging the expansive Google suite of tools like Sheets and Docs. Mithun Mohan meticulously evaluates Opal’s capabilities by crafting a Google Maps lead scraper, offering viewers a tangible glimpse into its capabilities from the ground up, beginning with VPN setup to accessing the beta service. The process, illustrated through vivid step-by-step guidance, showcases Opal’s intuitive approach where users can create workflows using natural language inputs, fostering creativity without the requirement of coding or heavy integrations. Various pre-made workflows exhibiting Opal’s versatility, ranging from blog writing to social media management, exemplify its functionality while uncovering challenges in its practical adoption, as compared to more technical colleagues like N8N. Despite its promise, Opal still faces hurdles, exemplified by its beta status, restricted access, and lack of extensive customization options. Yet, the notion of building shareable AI-first applications without coding, and within a robust ecosystem, is a game-changer for individuals and businesses eager for efficient yet powerful digital solutions. Google’s Opal undoubtedly enters the scene with potential, but only time will reveal its ability to stand tall against established giants, making it an intriguing watch for anyone interested in the future of AI and automation.