I’m excited to finally announce the launch of Buddhi AI, a project I’ve been building to redefine how we use artificial intelligence in our daily workflows. We’re starting with a collection of three core tools, a Chat, a Summarizer, and a Writer, but the vision is much larger. The core principle behind Buddhi AI is simple: privacy and performance through client-side processing.
The Problem with Server-Side AI
Think about most AI tools you use today. When you hit “send” or “generate,” your data is packaged and sent across the internet to a powerful server farm somewhere. The server does the heavy lifting, sends the result back, and you see the answer. This common approach has two main problems:
- It costs money: Every time you use the tool, I pay for the server’s computation time. That cost eventually gets passed on to you.
- It’s a privacy risk: Your information, whether it’s a quick thought or a sensitive document you’re summarizing, has to leave your device. You are trusting another company with your data.
I believe we can do better, and that’s why I built Buddhi AI.
Aligning with Chrome’s Client-Side Vision
Our approach is entirely built around the idea of running the AI model directly on your device, in your browser. This isn’t a new idea, but the tools to do it effectively have just become mainstream. Specifically, Buddhi AI leverages Chrome’s Built-in AI APIs and the power of local models like Gemini Nano. As the Chrome team notes on their developer site, “Client-side AI can improve your privacy story,” allowing for “local processing of sensitive data.” That is exactly the point. This client-side method offers distinct advantages:
- Privacy First: Your data never leaves your computer. The model runs locally, ensuring that sensitive information stays private and encrypted on your own machine.
- Reduced Cost: By moving the computation from my servers to your device, we dramatically cut down on inference costs. This is what allows us to offer powerful, useful tools affordably, or even for free in many cases.
Our Initial Tool Collection
To get started, we focused on three of the most valuable, everyday use cases that work perfectly with on-device AI capabilities:
- The Chat App: Use it for quick queries and brainstorming. Since the model runs locally, your short-term context and casual questions are not being logged on a remote server.
- The Summarizer: Feed it long articles, meeting notes, or research papers. It condenses the text into key bullet points or a short paragraph instantly, making content consumption faster and more private.
- The Writer: Get help with drafting emails, structuring reports, or improving existing text. It’s a quick writing assistant that keeps your drafts secure.
My Prediction for the Future of AI
I’m making a prediction: the best, most successful utility AI tools will run on the client-side. General-purpose, massive models will always need cloud-scale power, but for the focused, repetitive tasks that make up most of our working day, local models are superior. They are faster, cheaper, and inherently more trustworthy because they put the user in control of their data. I believe the browser will become the primary operating system for AI, thanks to platforms like Chrome’s built-in APIs. This transition makes AI more accessible and safer for everyone.
Moving Forward with Buddhi AI
This is just the start. The Chrome APIs offer a range of specialized capabilities, including translation and language detection. Over the coming months, we will be expanding our collection of Buddhi AI tools to cover even more high-value, client-side tasks. My goal is to provide a comprehensive, useful suite of tools that everyone can trust. Buddhi AI is built on the belief that powerful technology should enhance your privacy, not compromise it.
Note: You will need to enable Chrome Built-in AI if you haven’t already. Follow this guide.
Try out our new tools today, and let me know what you think.