Generating almost lifelike audio from plain text is possible with Gemini text to speech models like the Gemini 3.8 TTS model. Instead of relying on robotic, monotonous voices for your applications or video tutorials, you can now clone your own voice in a couple of minutes using just a short audio sample and use it for text to speech. In this step-by-step guide, you will learn how to replicate your voice and use it with Gemini TTS on Google AI Studio, including a code example. Let’s get started!

Google Antigravity 2.0 has some very interesting features. One of them is the /goal command, which runs until the specified task is complete, without asking the user for intermediate input. The point here is to achieve the goal by iteratively and autonomously checking the output until it is accomplished. In this post, you will learn how to use /goal to build a last updated at feature on this blog and also test it on the browser with only one prompt. Let's get going!

Have you ever tried building an AI agent, only to get bogged down in massive, complex frameworks just to get a basic output? If you want a clean, code-first way to build and debug agents without the boilerplate, Google’s open-source Agent Development Kit (ADK) is what you need. In this post, you will learn how to set up the Python SDK, code your first Gemini-powered agent that checks facts, and test it locally using ADK’s built-in web playground. Let's get started!