Gemini 3: Build and Automate Anything!

Gemini 3, build and automate anything. Today I'm showing you Gemini 3. This thing builds AI agents that work for you. No coding needed. It automates your entire business. And I'm talking customer service, content, sales, everything. This is huge. So Gemini 3 just dropped and everyone's talking about it. But here's what nobody's telling you. This isn't just another AI model. This is the first AI that can actually build agents that run your business operations. And I'm going to show you exactly how to use it. 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. Julian Goldie reads every comment, so make sure you comment below. Let me explain what this means.

An AI agent is different from regular AI. Regular AI answers questions. AI agents take action. They complete tasks. They make decisions. They work while you sleep. Gemini 3 is built specifically to power these agents and Google just partnered with six major open- source frameworks to make this dead simple. Here's what's different. Gemini 3 can understand context better than anything before it. It remembers what you told it 10 messages ago. It connects dots across multiple conversations. It knows when to ask for help and when to just handle things. This is what makes it perfect for agents. The crazy part. Google

worked with Langchain, Crewai, Autogen, and three other major frameworks. They built ready to use examples. You can literally clone them, run them, and ship them today. No PhD required. No massive team needed. Just you and these tools. Let me show you what's possible. Imagine you run the AI Profit Boardroom community. You need to answer member questions, create content, manage leads, and track engagement. Right now, that takes hours every single day. With Gemini 3 agents, you build one agent that does all of this automatically. Here's how it works. You set up an agent using one of the frameworks. Let's use Lang Chain since it's the most popular. You tell the agent what your business does. You give it access to your tools. You define the tasks. Then you let it run. For the AI profit boardroom, I could build an agent that monitors our community. When someone asks a question about AI automation, the agent finds the answer in our knowledge base. It writes a helpful response. It posts it. Done. No human needed. The member gets help instantly. The community stays active. Everyone wins. But it goes deeper. The same agent can track which topics people ask about most. It can suggest new content ideas based on real questions. It can identify members who might need extra help. It can even draft welcome messages for new members. All of this happens automatically while you focus on bigger things. Now, if you want to dive even deeper into AI automation, I've got something special for you. I run a community called the AI profit boardroom. The best place to scale your business, get more customers, and save hundreds with AI automation. Learn how to save time and automate your business with AI tools like Gemini 3. The link is in the comments and description is at school. com/iprofitlab. Now, let me talk about the technical

side for a second. Gemini 3 has something called extended context windows. This means it can process way more information at once. We're talking millions of tokens. For agents, this is gamechanging. Your agent can read entire documentation, analyze full conversation histories, and understand complex workflows without forgetting anything. The multimodal capabilities are insane, too. Gemini 3 doesn't just read text. It understands images, videos, audio, and code. So, your agent can analyze a landing page design, read the copy, check the images, and give you feedback on everything. It can watch a tutorial video, and write documentation. It can listen to a sales call and create a follow-up email all in one go. Now, let's talk about customer support. This is where agents shine. Traditional chat bots suck because they follow scripts. They can't handle anything unexpected. Gemini 3 agents are different. They understand context. They learn from conversations. They know when to escalate. For the AI profit boardroom, imagine an agent that handles all first level questions. Someone asks how to use a specific AI tool. The agent searches your knowledge base, finds the tutorial, and explains it clearly. Uh, someone asks about billing, the agent checks their account, sees the issue, and either fixes it or sends it to you with all the context you need. The agent can handle hundreds of conversations at once. It never gets tired. It's always polite. It learns from every interaction. And here's the key part. It sounds human. Gemini 3's language capabilities are so good that people often don't realize they're talking to an agent. Content creation is another

massive use case. Let's say you need to create YouTube scripts, blog posts, and social media content for your business. Right now, that might take a full-time person or multiple freelancers. With a Gemini 3 agent, you automate the entire pipeline. You set up an agent that monitors trending topics in AI and automation. It identifies what your audience cares about. It drafts content that matches your style. It formats everything correctly. It even suggests titles and thumbnails. You review it, approve it, and ship it. What used to take days now takes minutes. For the AI profit boardroom specifically, the agent could analyze which videos get the most engagement. It notices people love practical tutorials. So, it suggests more tutorial style content. It drafts scripts based on the latest AI tools. It makes sure every script includes examples relevant to growing a community. Everything feels natural and valuable because the agent understands your business. Let me show you the

frameworks you can use. Langchain is the biggest. It has the most examples and the largest community. If you're starting out, use Langchain. Crew AI is amazing for multi- aent systems. You can build teams of agents that work together. One agent handles research, another writes another edits. They collaborate like a real team. Autojem from Microsoft is perfect for conversational agents. If you need back and forth dialogue, this is your tool. There's also Llama Index for data heavy applications. If your agent needs to search through tons of documents, use this. And Google partnered with two more frameworks that specialize in specific use cases. The best part, all these frameworks now have Gemini 3 examples ready to go. Google created templates for common business tasks, customer support agent, content creation agent, data analysis agent, research agent. You literally clone the repo, add your API key, customize it for your business, and run it. Here's what you need to get started. First, access to Gemini 3. You can get this through Google's AI Studio or their API. it's available now. Second, pick a framework. I recommend starting with Langchain. Third, clone one of the example agents. Fourth, customize it for your specific use case. Fifth, test it. Sixth, deploy it. The customization is where you make it yours. For the AI profit boardroom agent, you'd add your community guidelines. You give it access to your knowledge base. You define your brand voice. You'd set up the specific tasks it should handle. This takes a few hours the first time, but once it's done, the agent runs forever. Now, let me talk about something important. These agents aren't perfect. They make mistakes. They need guard rails. You need to set up systems that catch errors. You need to review outputs. Especially at the start, you need to continuously improve them based on real performance. But here's why this matters. Even with mistakes, an agent that's 80% accurate and works 24/7 is way better than doing everything manually. You catch the 20% of errors and fix them over time. The agent learns and gets better. eventually is handling 95% of tasks perfectly. That's when you really start seeing the impact. Let's

talk about scaling. One agent is cool. Multiple agents working together is powerful. With Gemini 3, you can build agent teams. Each agent has a specific role. They communicate with each other. They coordinate tasks. They solve complex problems together. For a community like the AI profit boardroom, imagine this setup. Agent one monitors questions and provides answers. Agent two creates content based on trending topics. Agent three manages onboarding for new members. Agent four tracks engagement and suggests improvements. Agent 5 handles technical issues. They all work together as a system. This isn't science fiction. People are building this right now. The frameworks support it. Gemini 3 is powerful enough to run it. The examples exist. You just need to implement it for your specific business. Now, if you want to dive even deeper into AI automation, I've got something special for you. I run a community called the AI Profit Boardroom. The best place to scale your business, get more customers, and save hundreds with AI automation. Learn how to save time and automate your business with AI tools like Gemini 3. And if you want the full process, SOPs, and over 100 AI use cases like this one, join the AI success lab. You'll get all the video notes from there, plus access to our community of 38,000 members who are crushing it with AI. The link is in the comments and description. is at school. com Lab.