The most useful local AI model I've installed this year doesn't write a single word
There’s more to local AI than chatbots.
Tev1 4B, a decision model from Together AI, has become an invaluable tool for the author in their daily email management. Rather than writing code or generating text, the model excels at classification and routing tasks. The author leverages it within an n8n workflow, powered by LM Studio as the local model server. By providing Tev1 with specific criteria and a set of possible answer choices, the model determines which incoming emails merit a response.
This could be a direct query, an opportunity worth pursuing, or something that doesn't require immediate attention. The model reads the email's content, sender, subject, and body, making informed decisions about how to classify and prioritize each message. The author then uses a Switch node to separate the outcomes and apply relevant labels to the emails.
Gmail's Trigger node helps monitor for new messages at user-defined intervals. Once the email arrives, it's processed by LM Studio, and the model's response guides n8n's actions. The criteria for email filtering are tailored to the author's interests and preferences, ensuring that relevant messages receive the appropriate response.
This approach not only saves time but also allows the author to maintain control over their inbox and the conversations they choose to engage in. The author acknowledges the potential for similar applications in other areas, such as notification filtering or feed sorting, opening up possibilities for creative and practical uses of local AI models.
Written by urgent.news from XDA Developers's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
