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.
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.