Agent in my pocket
Where's my personal assistant Jarvis?
We interact with multiple agents daily. Gemini, ChatGPT, Claude. Each time starting from scratch, re-explaining context, re-prompting. It’s exhausting.
Imagine instead: your personal agent. One that carries your entire work history, your thinking patterns, your previous interactions. You drag and drop it into any workflow, and it speaks for you.
Need to draft something in Claude? Your agent provides the last 24 hours of research you did on the topic. Working in a new tool? Your agent authenticates you and shares exactly the context needed. Nothing more, nothing less. Like signing in with Google, but for your entire cognitive footprint.
The Control Layer
The real magic would be having one place where I can see everything happening. Every task my agents are running, every connection they’re making, every dot they’re connecting on my behalf.
But here’s the thing that keeps me up at night: for this to work, I need to trust it completely. And trust requires seeing what’s happening under the hood.
My agent needs to know a lot about me to be genuinely helpful. But I also need to know what it’s sharing and when. I don’t want it blabbing about user research in the wrong context. I don’t want it sharing half-baked insights when I’m still forming my analysis.
What if my agent worked like a token system? When I connect to Claude, my agent doesn’t dump everything it knows about me. It generates context tokens, scoped to exactly what’s needed for this specific task. Claude gets enough to be useful, but not my entire history. And if something leaks or goes wrong, the exposure is contained.
So what does good control actually look like?
Maybe it’s a quick heads-up: “Hey, I’m about to share your research synthesis with Claude. Here’s what I’m sending.” Maybe it’s rules I set up: “Don’t share anything from active research projects outside these specific tools.” Maybe it’s just a log I can check whenever I want to see what’s been shared where.
The point is: I should never have to wonder. The agent should feel like an extension of me, not a mysterious middleman.
What Changes?
If I actually had an agent that carried my context everywhere:
I wouldn’t waste time getting Claude “up to speed” every time I opened a new chat. It would already know what I’ve been working on. I could pick whichever tool is best for the job, not whichever one has my history.
My research wouldn’t just evaporate when I close a tab. It would stick around, build on itself, become part of how I think. Sharing work with someone would mean giving them temporary access to my agent’s context, not copying everything into a Google doc.
It’s a shift from “AI as a tool I use sometimes” to “AI as an extension of how I work that’s always there.”
The Bet
I think we’re headed toward a world where everyone has an agent in their pocket. Not just a chatbot you talk to sometimes. A real representation of you. Your context, your process, your current headspace. Something that makes every tool smarter because it actually knows you.
The technology is basically ready. The question is whether we build it in a way that gives us actual control, or whether we sleepwalk into another decade of platform lock-in.
We solved this for payments. We solved this for identity. We can solve it for personal agents too.
What would you build if your agent actually remembered everything you did today?