I’m curious how to use AI Copilot to build a workflow that watches Airtable changes, posts alerts to Slack, and sends weekly email summaries. If I just describe this automation in plain text, what prompt should I give AI Copilot? After it generates the workflow, how do I review and tweak the steps so the automation really fits how my team works?
I wrote a prompt like: ‘Create a workflow to monitor new Airtable changes, send alerts to Slack channels, and generate weekly email reports.’ AI Copilot then spins up a workflow you can open right away. I reviewed the auto-generated steps and adjusted filters and message templates to fit our needs. It saved so much time. https://latenode.com
Try framing the prompt clearly: mention the triggers (Airtable updates), destinations (Slack, email), and timing (weekly digest). Once the workflow is generated, walk through each node in the builder and test it step-by-step. The interface lets you easily tweak conditions and messaging without fuss.
Once I used a prompt like ‘watch Airtable record updates, post alerts to Slack, send a weekly email summary to team.’ The generated flow was close but needed tweaks on Slack channel targets and email formats. The editor UI made this easy to curate. My tip: always test the workflow with sample data before going live.
A concise and structured prompt specifying event triggers, actions, and desired frequency helps AI Copilot generate accurate workflows. The auto-generated steps can be reviewed in the visual builder where you can alter trigger conditions, message contents, and scheduling parameters to ensure alignment with your business logic.
Say “monitor Airtable changes, post to Slack, send weekly emails.” Then edit steps as needed after.