All, I want to get some best practices and thoughts on the future of local email clients, which I much prefer to using a web mailer, and on the deeper integration of AI agents as the universal assistant into almost any application. However, most of these applications are web-based.
Let's not start a discussion about whether this is a good or bad trend; it's happening, and everyone can decide for themselves whether they like it. So, if you don't like it, good, and this discussion is mostly not for you. My main question is about any form of "AI Inbox" or "AI helper" that I can ask, like, "Who is waiting on an answer from me?" "Summarize me the conversation with company X", "What are the next 10 deadlines I have to care about?", etc. GMail introduced "AI Inbox" in the US; it's not yet available in Europe. We will see... but having an AI agent besides pure search can be a huge help in handling many emails and parallel topics. Some unsorted thoughts: * Load all messages into a database that has full-text search, vector similarity, and graph traversals over multimodal data, combining it with RAG. Something like https://github.com/antflydb/antfly, or even a NotebookLM-like backend. * Link MM to such a system, maybe natively or via a plug-in, or ... and let me access such a backend through the search interface. * Maybe MM should become an MCP server, to which I can connect my agent. But I could connect the agent directly to Gmail. * Let the agent work with Gmail directly, and somehow bridge its work into MM, where I'm the human-in-the-loop. The simplest would be to let the agent draft a bunch of emails with a specific review label. So, my main line of thought is that there will be a nearby point where having an agent available for my email management creates a lot of value, and increasing utilization will render the desktop client obsolete. Any thoughts, or maybe practical experiences, work patterns, best practices? Viele Grüsse -- Robert M. Münch
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