Learning Timeline
Key Insights
Dynamic vs. Rule-Based Automation
Unlike traditional automations that follow fixed 'If This Then That' rules, Make's AI agents analyze the *intent* of a request. This allows a single agent to handle widely different tasks (scheduling vs. content writing) without needing separate, brittle workflows for each trigger.
Visual Grid View
Use Make's 'Grid View' for a beginner-friendly, visual representation of your agent's logic. This interface allows for drag-and-drop configuration, making it easier to visualize how the AI orchestrates multiple digital tools simultaneously.
Prompts
Scheduling Command
Target:
Slack (to Make Agent)
Put my meeting with Sam Altman on my calendar
Content Generation Command
Target:
Slack (to Make Agent)
[Paste Link Here] Create content for this.
Step by Step
Initializing the AI Agent Workflow in Make
- Navigate to the Make dashboard.
- Select the 'Grid View' option to access the visual drag-and-drop interface.
- Locate the 'Templates' section if starting from a pre-built base, or select 'Create New Scenario'.
- Add 'Slack' as the initial trigger application to receive incoming messages.
- Add the 'AI Agent' module to the workflow to enable natural language processing.
- Connect subsequent tool modules (e.g., Calendar apps, Content Generation tools) that the Agent will orchestrate.
- Configure the AI Agent to dynamically select tools based on the intent of the incoming Slack message.
Operating the AI Agent via Slack
- Open the Slack workspace connected to the Make scenario.
- Navigate to the direct message or channel associated with the AI Agent.
- Type a natural language command (e.g., 'Put my meeting with Sam Altman on my calendar') to trigger administrative tasks.
- Alternatively, paste a URL to an external article.
- Add a specific instruction, such as 'Create content for this article.'
- Wait for the Make Agent to process the request and return the formatted assets (text posts and images) directly into the Slack thread.
