I built a Claude agent to manage my inbox — and it changed how I handle email
I used Anthropic’s advice to build a Claude inbox manager, here’s what happened.
Claude, an AI model from Anthropic, has proven to be particularly useful for managing personal inboxes. According to Lamis Mukta, a technical staff member at Anthropic, Claude Loops are increasingly popular for this purpose. These Loops allow agents to manage themselves and stay on track towards a goal, rather than requiring continuous human prompting.
To set up Claude to manage your inbox, first sign in to your Claude account, which does not necessarily need to match the email address associated with your Claude account. It's recommended to enable connectors, such as the official Gmail connector, for seamless integration. You can also connect to Google Calendar to turn invites into events. If you prefer Outlook, you can find Claude for Outlook in Microsoft's marketplace.
Next, utilize the schedule feature to set up your recurring prompts. For example, you could instruct Claude to scan your Gmail inbox every hour, create draft replies for emails requiring attention, and automatically add invites to your Google Calendar. However, keep in mind that Gmail users must still review and send each draft.
Claude can learn to distinguish critical emails and ignore less important ones. You can also train it to match your tone by analyzing your sent emails. Connecting to Slack and Google Drive provides additional context, enabling Claude to draft client replies with relevant documents and pull updates into team Slack messages.
While there may be a learning curve, once you find the right setup, the benefits of having Claude manage your inbox can significantly outweigh any initial hesitation. Mukta recommends migrating existing prompts to Claude and experimenting with different models, such as Sonnet or Opus. The company has also recently expanded Claude Cowork to mobile platforms, allowing for even more flexibility in managing your inbox on the go.
Written by urgent.news from Tom's Guide's reporting — not their text. Machine-written — it may contain errors, so check the original before relying on it.