Coming back from a few days away, or surfacing from a week of back-to-back meetings, you hit the same wall: the team kept moving and now you have to reconstruct what happened. Tana can do that reconstruction for you, and then act on it without you leaving the conversation.
What you are really learning here is what a Tana chat is for. It is two things at once: a way to retrieve across everything your team has done, and a way to act on what you find. Catching up is just a good first place to see both. The same moves work anywhere in Tana.
Catch up, then act
Open a chat and ask in plain language: "What did the team decide this week, and what is waiting on me?"
Look at what that one question is doing, because it is the pattern behind every good retrieval prompt. "What did the team decide" sends Tana searching your shared record, the meetings held while you were out, the decisions captured from them, the issues raised. "waiting on me" narrows that to the items that mention or are assigned to you. Scoping by time (this week, since Monday) and by relationship (on me, for my team, from Acme) is how you turn a vague ask into a focused answer instead of a wall of everything. The more precisely you scope, the sharper the reply.
The answer comes back with its receipts. Each point is assembled from real items, a specific meeting, a logged decision, an issue, and every one is a link you can open to see the full context the one-line summary was drawn from.
Make opening a few of them a habit. Tana builds the answer from what your team actually recorded, and only from what your permissions let you see, so it is grounded rather than guessed. But a thirty-second skim of the sources is what turns a plausible-looking summary into one you are willing to act on. Learning to trust and verify an AI answer this way is a skill that pays off everywhere in Tana, not just here.
Here is the shift that makes this more than a digest. Stay in the same chat and tell Tana what to do about what you found: "Draft replies to the two decisions that need my input, file the bug from Tuesday's standup as an Issue, and add a task to review the migration by Friday."
Two things to notice. You can stack several actions into one message, and Tana carries the context from the catch-up straight into each one, it already knows which bug, which decision, which migration. The chat that just searched for you is now creating and updating on your behalf. That is the second half of what a chat is: not only "what happened" but "do something about it", in one continuous thread.
Nothing you just asked for is applied on its own. Each change comes back as a proposal: a reply drafted, an issue to be created, a task to be added. A proposal shows you exactly what will happen, the full body of the new issue, the precise edit to a doc, before any of it is real. You edit what is off, accept what is right, and discard the rest.
This is the most important thing to carry out of this guide: the propose, review, accept loop is the same everywhere AI acts in Tana, in meetings, through skills, here in chat. Learn the control once and it holds for all of it. And because your team shares this record, accepted work is live the moment you keep it: the issue lands on the team's board, the task shows up assigned, with no separate step to circulate it.
Make it a habit
Catching up is a natural Monday-morning move, or the first thing to do after time away. Once the shape of the ask is familiar, you do not have to keep typing it: hand it to an agent on a schedule, and the catch-up, with its follow-ups already drafted, is waiting for you each morning to review. The same retrieve-then-act pattern runs forward too, to prepare for what is coming up.