This NEW FREE AI AGENT Just Changed Everything! 🤯

Mercury 2 just dropped and it's breaking everything we thought we knew about AI speed. This is the world's first reasoning diffusion AI model. It's not built like chat GPT. Claude. It works completely differently and it's five times faster than the fastest AI models right now. Five times. That means realtime chat bots, instant AI agents, huge documents processed in seconds. And the price basically nothing. We're talking 25 cents per million tokens. This changes how you build AI. automate your business. And by the end of this video, you'll know exactly how to use it. Let's go. Hey, if we haven't met already, I'm the digital avatar of Julian Goldie, CEO of SEO agency Goldie Agency. Whilst he's helping clients get more leads and customers, I'm here to help you get the latest AI updates. And Julian Goldie reads every comment, so make sure you comment below. All right

Mercury 2. Let's break this down simply because this is one of the biggest AI releases in a long time and most people are sleeping on it. Most AI models you've used, Chat, GPT, Claude, Gemini, they all work the same way under the hood. They generate one token at a time, left to right, like a typewriter, one word, then the next, then the next. It works, but it has a ceiling on speed because each token has to wait for the one before it. Mercury 2 throws that whole system out. It uses a diffusionbased approach. You know how image AI like MidJourney works. It starts with noise and slowly refineses the whole image at once. Mercury 2 does the exact same thing, but with text. It generates the entire response at once, refineses it in parallel passes, and spits out the final answer. That's why it hits over 1,000 tokens per second on modern hardware. That number is not a typo. 1,000 tokens per second. The fastest traditional models sit around 100 to 200. Mercury 2 laps them five times over. So speed is the headline

but let's talk about what's under the hood because this thing is stacked. The context window is 128,000 tokens. That's massive. It means Mercury 2 can hold an entire book, a full website audit, a long research brief, or a huge document in memory all at once and reason over all of it without losing track. For anyone building serious AI tools, that's a gamecher. It also supports native tool use, so you can connect Mercury 2 to external APIs, run multi-step workflows, and build proper AI agents that take real actions, not just chat bots that answer questions. It outputs clean, structured JSON, which makes it easy to plug into apps and automations. And here's the part developers love it. It's fully OpenAI API compatible. If you're already building with the OpenAI API, you can literally swap in Mercury 2 by changing one line of code, same structure, massively faster output. And benchmarks put its reasoning quality on the same level as Claude Haiku 4. 5. So this isn't just a fast model that sacrifices quality. It's a fast model that's also genuinely smart. Quick pause here because this is exactly the kind of tool we break down inside the AI profit boardroom. It's our private community for business owners and creators who want to actually use AI to grow, not just read about it. Inside the boardroom, we go through the exact workflows, prompts, and setups for tools like Mercury 2. How to build AI agents, how to automate your content, how to plug these tools into real business systems. If you want to start putting AI to work in your business, the AI profit boardroom is where you want to be. Link is in the description. Go check it out. Now, back to Mercury 2. Let me show you

what this actually looks like in practice. And I'm going to use examples built around the AI profit boardroom because this is exactly how we use these tools in real life. Example one, content at scale. Say you want to create an entire month of content promoting the AI profit boardroom across LinkedIn, Twitter, and email. You give Mercury 2 a prompt like this. You are a content strategist for the AI profit boardroom, a community helping business owners master AI automation. Write 30 short punchy LinkedIn posts, 30 tweets, and five email subject lines that explain the value of joining. Keep the tone direct, simple, and conversational. Mercury 2 produces all of that in seconds, not minutes, seconds. That speed difference is real, and it matters when you're running a content operation at scale. Example two, lead qualification agent. Imagine you want a chatbot on the AI profit boardroom landing page that answers questions from potential members in real time with Mercury 2 speed. The bot responds almost instantly. No lag, no awkward pauses. It feels like talking to a real person. You can give it all the FAQs, the community details, the benefits, and it handles every conversation without you lifting a finger. Example three, knowledge base for community support. The AI profit boardroom has hundreds of resources, video notes, SOPs, and use cases. You feed all of that into a rag pipeline powered by Mercury 2. Now any member can ask any question and get a fast, accurate answer pulled from the full knowledge base. The 128k context window means it holds everything in memory at once. No hallucinations, no missing context, just quick, useful answers. That's what 1,000 tokens per second actually looks like when you put it to work. And here's the thing people miss.

Speed doesn't just save time, it changes what's possible. When your AI agent responds in 1 second instead of 10, you can chain more steps together. You can build workflows that would have been too slow before. You can run 10 agents in parallel for the cost of running one slowly. The whole ceiling of what you can automate shifts upward. That's the real unlock with Mercury 2. It's not just doing the same things faster. It's opening up use cases that weren't practical before. Think about voice AI for example. Realtime voice assistants need subsecond response times to feel natural. Most models can't hit that. Mercury 2 can. That means you could build a voice powered AI assistant for your community, your customer support, or your sales process that actually feels smooth and human. That's not a future thing. That's available right now. Getting started with Mercury 2 is

straightforward. You go to Inception Labs, sign up for API access, and you're in because it's OpenAI compatible. If you've ever used the Open AI API before, the setup takes minutes. You swap the endpoint URL and the model name. That's it. The pricing makes it very accessible. Input tokens cost 0. 25 per million and output tokens cost low 75 per million. For most business use cases, content generation, agent workflows, customer support bots. The cost is tiny compared to the output you get. If you haven't used an API before, don't let that scare you. It's genuinely simpler than it sounds, and the AI Profit Boardroom breaks it down step by step with no assumed technical knowledge. Here's what I want you to

really take away from this. Mercury 2 isn't just a faster version of something that already exists. It's a different architecture entirely. Diffusionbased text generation is brand new in the world of reasoning language models. Mercury 2 is the first. If you look at what happened with image diffusion models, stable diffusion, midjourney, deli, they completely changed what was possible with image generation. They got faster, cheaper, and more capable faster than anyone expected. There's no reason to think text diffusion won't follow the same path. A year from now, the auto reggressive models that power everything today might start to feel slow and outdated. Mercury 2 is the starting gun for that shift. Getting familiar with it now puts you ahead of that curve. Okay, here's what you do next. Go to Inception Labs and try Mercury 2. The API link is in the description. It's fast, it's affordable, and it's genuinely impressive to see in action. If you want to learn how to plug tools like Mercury 2 into real workflows, build AI agents, and automate the repetitive parts of your business. Join the AI Profit Boardroom. We cover the practical stuff, the setups that actually work. Link is below. And if you want the full library, SOPs, templates, 100 plus AI use cases, video notes from every episode, join the AI Success Lab. It's our free community with over 40,000 members who are using AI every day to work smarter. All the links are in the comments and description. Everything you need is there. Mercury 2 is live. It's fast. It's cheap. It's smart. Go use it. See you in the next one.