Building an AI Email Assistant with n8n & Ollama: Part 1

Description and use

<p><em>Exploring how a locally hosted AI model can identify actionable emails, distinguish between responsibilities and produce structured data for automation.</em></p> <h2> The problem </h2> <p>Managing a busy inbox isn't just about the volume of emails. It's about identifying which messages actually require your attention.</p> <p>In an operational environment, emails contain requests, updates, questions, confirmations and ongoing conversations. Some require immediate action, some need following up, and others are simply informational.</p> <p>What interests me is whether AI can help distingui

Problem

<p><em>Exploring how a locally hosted AI model can identify actionable emails, distinguish between responsibilities and produce structured data for automation.</em></p> <h2> The problem </h2> <p>Managing a busy inbox isn't just about the volume of emails. It's about identifying which messages actually require your attention.</p> <p>In an operational environment, emails contain requests, updates, questions, confirmations and ongoing conversations. Some require immediate action, some need following up, and others are simply informational.</p> <p>What interests me is whether AI can help distingui

Outcome

<p><em>Exploring how a locally hosted AI model can identify actionable emails, distinguish between responsibilities and produce structured data for automation.</em></p> <h2> The problem </h2> <p>Managing a busy inbox isn't just about the volume of emails. It's about identifying which messages actually require your attention.</p> <p>In an operational environment, emails contain requests, updates, questions, confirmations and ongoing conversations. Some require immediate action, some need following up, and others are simply informational.</p> <p>What interests me is whether AI can help distingui

Evidence

Building an AI Email Assistant with n8n & Ollama: Part 1

Source