Stop Using Email Rules (Do This Instead)

Traditional email rules are ineffective for managing an unpredictable inbox, leading to the development of an AI agent that uses judgment to prioritize emails and automate actions.

• Rigid email rules cause stress and fail to adapt to unpredictable email contexts.

• An AI agent built with Make uses judgment to triage emails, reducing mental load and interruptions.

• AI agents automate decisions for messy, unpredictable workflows, while traditional automation suits fixed processes.

Managing email with rigid rules often fails because email context is unpredictable, leading to constant worry about missing important messages. An AI agent built using Make offers a solution by making judgment calls on email urgency and required action, significantly reducing mental load and interruptions. This agent automates tasks like drafting replies and sending notifications for truly urgent matters, providing full transparency into its decision-making process.

Limitations of Email Rules

• 00:00:22 Traditional email management tools based on rigid rules are insufficient because email context is unpredictable and constantly changes. This leads to users managing the rules themselves instead of their inbox, causing stress and a constant worry about missing important information, rather than effectively filtering content.

AI Agent Solution

• 00:01:06 An AI agent, developed using Make, can intelligently read emails and decide on the next steps, moving beyond rigid rules to make judgment calls on whether an email requires action, is urgent, or warrants an interruption. This agent performs three core functions: identifying emails needing attention, preparing draft replies for non-urgent actions, and sending Slack notifications only for truly urgent messages, all with transparent decision-making.

Building the AI Agent

• 00:02:41 Building this AI agent in Make involves creating a scenario that watches for new emails in Gmail and then adding an AI agent module configured with a chosen model like OpenAI's GPT 5.2. The agent is provided with instructions defining its role, and inputs such as sender, subject, and email body. Additionally, the agent can be given 'knowledge' (e.g., an FAQ) and 'tools' to apply labels, draft replies, or send Slack notifications, allowing it to act on its decisions without hard-coded rules.

When to Use AI Agents

• 00:06:56 AI agents are most effective when dealing with messy, unstructured inputs and situations requiring judgment, such as support tickets, form submissions, or sales leads, where context matters and rules frequently change. For fixed and predictable processes, traditional automation remains the superior choice due to its speed, simplicity, and reliability, distinguishing between tasks that 'need doing' (automation) and those that 'need thinking' (AI agents).