Talavine
Start with an account or a few documents and notes. Choose an AI, ask about something you already know, and check the sources. Setup and background processing time depend on your accounts, data, and computer.
Run the Windows installer or open the Apple Silicon macOS app bundle. The welcome screen explains what is about to happen, in plain language. Nothing is connected yet, nothing is indexed, no agent is running. You're looking at an empty desk.
Reassurance: No data leaves your computer until you connect an account.
Pick Gmail, Outlook, a regular IMAP account, or a chat channel such as Slack, Telegram, or Discord. Talavine walks you through the setup and explains the next step in English if an OAuth or bot-token flow stumbles.
Reassurance: You can disconnect at any time. Disconnecting doesn't delete the local copy of your messages.
Indexing turns your inbox into a searchable, agent-readable map. You can keep using the app while it works. Search starts working as the index fills, and you can watch progress on the status pill.
Reassurance: Your Talavine profile and communication memory live on your machine. When you enable a cloud model, relevant request context is sent to that provider under your configured routing and privacy policy.
Start with the morning sorter or the reply drafter. Pick the inbox it watches and confirm it's draft-only. The first time it has something to show you, it shows up as a draft you can edit, not as a message that already left.
Reassurance: Drafts never send themselves. The first time anything goes out, you press the button.
These are the worries Talavine is built around. The answers aren't policy; they're how the product behaves out of the box.
Open the daily briefing in the morning, approve the drafts you like, edit the ones you don't, and close the app. That's enough to get value.
Nothing dramatic happens. The agent has been preparing work and waiting. When you come back, the queue shows what's waiting on you, ordered by urgency.
Reject the draft, recategorize the sender, or flip the approval. The agent learns from the correction. You don't need to write rules.
Pause the agent from the team dashboard. Pausing is one click. Nothing keeps running while you decide what to do.
None of this is required. They're just small experiments that show the value without taking over your week.
You can stop after the first useful draft and decide if it's worth keeping around. That's the only commitment that matters.