01What Gemini 4 Is and How It Works

Gemini 4 is Google's next-generation AI model, now in pre-training. Google CEO Sundar Pichai confirmed this in a Reuters interview, calling it a much bigger effort than any Gemini model before. Pre-training is the first big step in making an AI model.

The model reads enormous amounts of information and starts forming patterns. Think of it like a student doing years of reading before taking an exam. It's the slowest and most expensive part.

Companies almost never talk about this stage while it's happening, but Google just did.

02Key Features and Focus of Gemini 4

Pichai said Gemini 4 is not a small update or a patch. It's Google's biggest training run ever. The company is focusing on two main areas: coding and AI agents.

Coding means the AI gets better at building things like websites, small tools, and simple apps. This could help business owners put together tools without hiring a developer. AI agents are different.

An agent doesn't just answer a question and stop. It goes and does the task. It plans out steps, uses other tools along the way, and finishes a job with less time.

For example, an AI agent could write five social media posts about your community, check them, and schedule them for the week – start to finish.

03How to Get Started with AI Tools Like Gemini 4 Today

Even before Gemini 4 arrives, you can start using AI tools now. Here is how to get started:

  1. Pick one repetitive business task you do every week, like writing social media posts or designing a landing page.
  2. Open an AI tool like ChatGPT, Claude, or Gemini currently available.
  3. Write a clear prompt that describes exactly what you want. For example: 'Design a landing page for a community. Make it convert. Show why AI automation matters for a small business.'
  4. Review the AI's output and make small changes to the prompt if needed.
  5. Use the result the same day to save time you would have spent waiting for a designer or developer.

04How to Use Gemini 4 Features: Coding and Agents

The episode walked through how you might use Gemini 4 once it is released. For coding, you could ask an AI to build a simple tool for your business without hiring a developer. For agents, you could give a complex task like: 'Handle the follow-up sequence for everyone who joined this month and check back with me tomorrow with results.' An agent would plan the steps, send the emails, and report back.

This is a meaningfully different tool from what most people use now. Better research is another use case. Instead of reading competitor websites one by one, you ask an agent to pull out what is working for them and summarize it for you.

05Results, Tests, and Comparisons Shown in the Episode

Pichai did not release any benchmark scores, size, or context window numbers for Gemini 4. No release date was given either. The main result shared is that Google has already started pre-training Gemini 4 while Gemini 3.5 Pro is still being tested with partners.

This means two model generations are moving at once inside the same company. The pace of AI progress has changed. A year ago, models improved in small steps.

Now entire new generations are trained one after another, sometimes at the same time. Google wants to release new models almost every month instead of waiting a year between launches.

06Tips, Limits, and Mistakes to Avoid with Gemini 4

Be careful with anyone online claiming to know specific details about Gemini 4 beyond what Pichai said. No official benchmark scores, model size, or release date exist yet. Don't panic when a new model drops. History shows that most people learn to use new tools, and the ones who learn first tend to get ahead.

A new model does not mean everyone loses their job overnight. Instead, it means you should practice using AI tools now so you are ready when Gemini 4 arrives. Avoid waiting to catch up after everyone else already knows how to use it.

07Who Gemini 4 Is For and Why It Matters

Gemini 4 matters most for business owners who want to save time on repetitive tasks. If you manage even a small team of three or four people, an agent-based model could let you hand off entire chunks of work instead of single small tasks. The AI race now has three main players: OpenAI, Anthropic (Claude), and Google.

Some people thought Google was falling behind, but Pichai's comments show Google is doubling down. The tool is for anyone who runs a community, writes content, or wants to automate parts of their business. The real question is whether you will be ready to use it the moment it launches.