It’s 7:00 PM on a Tuesday. I’m wrapping up a final work call from my Bengaluru apartment, mind buzzing with product specs and deadlines. The old version of my evening would begin now: a wave of decision fatigue about dinner, chores, and tomorrow's workout at Cult.Fit.
Tonight, that chaos is gone.
As my call ends, a soft tone plays in my earbud. It’s My Aura. "Roshan," it says quietly, "your last meeting ran late. Based on your smart fridge's inventory, the 'Orchestrator Agent' has planned a quick paneer stir-fry and pre-filled a BlinkIt cart with the missing ginger-garlic paste. It estimates a 10-minute delivery. Shall I place the order?"
"Confirm," I say. That entire chain of mental effort has simply vanished.
This is the future the tech world is racing towards. It's the vision that likely drives Sam Altman and Jony Ive's new AI hardware venture and why they called the first wave of AI gadgets "very poor products." They didn't solve this fundamental problem: the immense, invisible cognitive load of managing modern life.
This is my attempt to think through the device that will. It's a product vision for a Cognitive Co-Processor, a “context sponge”, which I will call call “The Aura”.
The software is ready. AI "agents" can now make phone calls, spin up marketing campaigns, and accomplish complex tasks with breathtaking speed. With nearly "unlimited context windows," the bottleneck is no longer the AI's memory. The bottleneck is the physical world.
For AI to move from a novelty to a truly integrated part of our lives, we must solve three fundamental challenges that our current hardware, especially the smartphone, is completely unequipped to handle. This is my attempt to think through the device that will solve them.
Today, feeding real-world context to an AI is a point of immense friction. To get help with a physical object, you have to unlock your phone, open an app, grant camera access, and point it at the object. This multi-step, high-attention workflow is a barrier for all but the most dedicated tech enthusiasts. We need to radically oversimplify the process of context capture.
The second challenge is the speed of processing. Most powerful LLMs are cloud-based. The round-trip time for data to travel to a server and back introduces latency that makes real-time interaction feel clunky and unnatural. This is precisely why early AI devices like the Humane AI Pin and Rabbit R1 failed to deliver on their promise. For an AI to be a seamless part of our reality, it needs to think on-device. We need compact hardware that can house a personalized AI, always on and instantly responsive.
The third challenge is making AI agents useful outside of the digital world. Currently, an agent can operate software that has a "Model-Context Protocol" (MCP)—an interface for AI. But the physical world lacks this. We have "smart devices," but they are not "agent-friendly." We need a future where a smart fridge doesn't just have Wi-Fi, but an MCP that allows an agent to look inside with a camera, remotely change the temperature, so that it can plan to have ice cubes ready before a house party. Solving this will enable a local, personal AI to orchestrate our environment and automate our lives.
This is a product vision for a Cognitive Co-Processor designed to solve these three challenges. A device I call My Aura.
So, is this "Aura" device just a futuristic dream? Or could a dedicated team, like the one Sam Altman and Jony Ive are building at IO, actually engineer this with technology that exists right now?
Let's do the math. Let's get nerdy and build a bill of materials for our Cognitive Co-Processor based on the best components available in 2025.