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Your personal agent lives in AI Chat, and it knows one thing no other AI does: your actual life, as you’ve captured it. Ask it anything across everything in your core — it answers from what really happened, not from what it can guess.
The personal agent answering from captured conversations

What to ask it

The best questions are the ones your memory fumbles:
  • “What did Dana say about pricing?”
  • “What did I promise this week, to anyone?”
  • “When did I last talk to Marcus — and what about?”
  • “What’s still open from Tuesday’s meeting?”
Answers come with their receipts: the agent draws on your captures, so what it tells you traces back to conversations you actually had. Type or talk — it takes both.

It does things, too

Ask for more than recall and it works in front of you — you’ll see it thinking, then answering, and you can reply mid-stream to steer it:
  • “Brief me on everything with Cintra before my 2pm.”
  • “Draft a follow-up to yesterday’s meeting covering what we agreed.”
  • “Pull the action items from this week into one list.”
The more precise the ask, the better the work — it’s an agent, not a search box.

Why it gets smarter

The agent’s ceiling is your core. Every capture adds context it can draw on: more conversations, sharper answers; more history, better briefs. A fresh core gives thin answers — that’s not a flaw, it’s day one. Capture for a week and ask again; the difference is the product.
The fastest way to feel it: after your next three meetings, ask “what did I commit to this week?” — then imagine answering that from memory.

Yours alone

The personal agent reads your core and nothing else — not your teammates’ captures, not what hasn’t been shared with you. And the conversation flows one way: chatting with your agent never shares anything outward, and nothing trains on your data unless you switch that on. Want the same context in the agents you already run — Claude Code, Codex, Cursor? That’s Connect your agent: your core, piped into your stack.