New Gemini CLI Update Is INSANE!

New Gemini CLI update is insane. Hey, this just dropped and it's going to change everything about how you automate your business. I'm talking about hooks that let you take full control of AI agents. You can add context, validate actions, enforce policies, and make the agent keep working until it's perfect. This is the biggest update to AI automation I've seen all year. So, let me tell you what just happened. Google just released hooks for Gemini CLI, and if you're running any kind of business, this changes the game completely. Most people have no idea this exists yet, but by the end of this video, you're going to know exactly how to use it to automate your business in ways you never thought possible. Let me explain what hooks

actually are. You know how when you use an AI agent, it just does its thing and you hope it does what you want? Well, hooks let you jump in at any point during the process. You can add extra information. You can check if the agent is doing the right thing. you can stop it from doing something wrong and you can make it keep going until the result is exactly what you need. 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. Think of it like this. Before Hooks, using an AI agent was like sending an employee off to do a task and crossing your fingers. With Hooks, you can tap them on the shoulder at any moment, give them more instructions, check their work, and tell them to keep going if it's not good enough yet. Now

here's where this gets really powerful for your business. Let's say you're running the AI Profit Boardroom and you want to automate your content creation. You can set up a hook that adds your brand voice guidelines every single time the agent writes something. Another hook that checks if the content mentions your community properly and another hook that makes the agent revise the content until it meets your quality standards. The agent doesn't just run once and stop. It keeps iterating. It keeps improving until you get exactly what you need. That's the power of the agentic loop that hooks unlock. Let me break down the

five main things you can do with hooks. First, you can add context. This means you can feed the agent extra information right when it needs it. Second, you can validate actions. So before the agent does something, you can check if it's the right move. Third, you can enforce policies. This is huge for businesses because you can make sure the agent never breaks your rules. Fourth, you can loop the agent, make it keep working until the output is perfect. And fifth, you can customize everything to your specific needs. Now, I want to show you exactly how this works in practice. Let's say you're using Gemini CLI to create landing pages for the AI profit boardroom. Without hooks, you just give it a prompt and hope for the best. With hooks, you can do something completely different. You set up a hook that adds your conversion data every time the agent starts working, so it knows exactly what messaging has worked before. Then you add a validation hook that checks if the landing page includes all your key benefits. Does it mention AI automation? Does it talk about saving time? Does it explain how people can get more customers? If any of those are missing, the hook stops the agent and makes it add them. 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 CLI. The link is in the comments and description. Then you add a policy hook. This one makes sure the agent never creates content that goes against YouTube guidelines. It checks for any restricted words or phrases. It makes sure everything is compliant and if something's wrong, it fixes it automatically. Finally, you add

a loop hook. This one is my favorite. It makes the agent generate three different versions of the landing page. It compares them. It picks the best elements from each one, and it creates a final version that's better than any single attempt. That's the difference between using AI like everyone else and using AI like a pro. Most people get one mediocre result. You get multiple iterations that keep getting better until you have something amazing. Now

let me tell you why this matters so much. Right now, AI agents are getting more powerful every single day. But the problem is control. Most businesses don't use AI agents because they're worried the agent will do something wrong. They're worried about brand consistency. They're worried about quality. They're worried about compliance. Hook solve all of that. You're not giving up control. You're actually getting more control than ever before. You're building guardrails. You're building quality checks. You're building systems that make sure your AI automation actually works for your business. And here's what most people miss. The real power isn't just in using one hook. It's in combining multiple hooks to create a complete automation system. You're building an assembly line where every step is checked, every output is validated, and everything keeps improving until it's exactly right. Let me give you another example. Let's say you want to automate your email sequences for the AI profit boardroom. You're trying to get more people to join your community. You want emails that convert. sound like you. And you want to make sure every email is compliant and highquality. Here's how you'd use hooks. First hook adds your voice guidelines and previous high-erforming emails as context. The agent now knows exactly how you write. Second hook validates that each email has a clear call to action about joining the AI profit boardroom. Third hook enforces your policy or anything that violates guidelines. Fourth hook makes the agent generate five different subject lines and pick the best one based on your open rate data. Fifth hook creates a loop that revises the email until it scores above a certain readability level. The result, you get emails that sound like you convert like crazy and never break any rules and the whole thing runs automatically. You're not spending hours writing emails anymore. You're spending minutes setting up the right hooks and then the system runs itself. Now, I know what you're thinking. This sounds complicated. How do you actually set this up? The beauty of Gemini CLI is that it's actually simpler than you think. You don't need to be a programmer. You just need to understand the logic of what you want to happen.

Let me walk you through the basic structure. A hook is just a set of instructions that runs at a specific point in the agent's process. You tell it when to run. You tell it what to check and do based on what it finds. That's it. For example, a context hook might say before you start writing, add these brand guidelines to your knowledge. A validation hook might say after you generate content check if it includes these five elements and if not add them. A policy hook might say scan the output for these restricted terms and if you find any replace them with approved alternatives. You're basically creating a checklist that the agent follows every single time. And because it's automated, it never forgets a step. It never skips a check. It never lets something slip through that shouldn't. Here's where this gets even more interesting. You can create different hook sets for different tasks. One set for content creation, another set for customer outreach, another set for data analysis. Each one customized to exactly what that task needs. And because Gemini CLI runs from the command line, you can trigger these automated workflows whenever you want. You can schedule them to run daily. You can connect them to other tools. You can build entire automation pipelines that run your business while you sleep. Think about what this means for scaling right now. If you want to create more content for the AI profit boardroom, you either do it yourself or hire someone. Both options are limited by time and cost. With hooks in Gemini CLI, you can create a system that produces highquality onbrand compliant content at scale and it gets better over time as you refine your hooks. The same applies to any repetitive task in your business. customer support responses, social media posts, email campaigns, research reports, competitive analysis, all of it can be automated with the right hooks in place. Now, let me show you something really powerful. You can use hooks to train the agent on your specific business. Let's say you run the AI profit boardroom and you have certain ways you explain AI automation. You have certain case studies you reference. You have certain benefits you always highlight. You create a hook that adds all of that context before any task starts. Now, every single output from the agent is informed by your business knowledge. It's like having a team member who's been with you for years and knows exactly how you operate, except this team member works 247 and never gets tired. Here's another use case that's going to blow your mind. You can use hooks to create quality improvement loops. The agent generates something. A hook checks the quality. If it's not good enough, the hook tells the agent what's missing and makes it try again. This keeps happening until the quality threshold is met. Imagine applying this to landing pages for the AI profit boardroom. The agent creates a landing page. The hook checks the conversion elements. Does it have social proof? Does it have a clear value proposition? Does it address objections? Does it have a strong call to action? If any element scores below your threshold, the agent revises that section and it keeps revising until everything is optimized. You're not settling for the first draft anymore. you're getting the 10th draft quality on the first run because the agent is doing all the iteration work for you automatically. Now, I want to talk about something that's really

important. Policies and compliance. If you're running a business, you can't just let an AI agent do whatever it wants. You have rules. You have guidelines. You have legal requirements. Hooks let you enforce all of that automatically. You create policy hooks that check every output against your rules. Does this content violate YouTube guidelines? Does this email make claims we can't back up? Does this social post use restricted terms? If the policy hook finds a violation, it either fixes it automatically or stops the process and alerts you. You're building compliance into your automation from the start. You're not hoping the agent does the right thing. You're making sure it does. This is especially important if you're creating content at scale. One mistake can cause big problems, but with policy hooks, you catch mistakes before they go live. You protect your business. You protect your reputation. and you sleep better at night knowing your automation has guardrails. 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 CLI. And if you want the full process, SOPs, and 100 plus 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 45,000 members who are crushing it with AI.