Building Your First Automation with Natural Language
Ready to dive into the world of AI-powered automation? This guide will walk you through creating your first automation using nothing but natural language.
Getting Started
The beauty of conversational automation is its simplicity. You don't need to learn programming languages, understand API documentation, or master complex workflow builders. You just need to describe what you want to happen.
Example 1: Customer Onboarding
Let's start with a common business process: customer onboarding.
Your Goal: When someone signs up for your service, you want to welcome them, add them to your CRM, and notify your team.
Natural Language Command:
"When a new user signs up, send them a welcome email using our onboarding template, add their information to Salesforce as a new lead, and post a message in our #new-customers Slack channel with their details."
Example 2: Content Publishing
Your Goal: Streamline your content publishing workflow across multiple platforms.
Natural Language Command:
"When I publish a new blog post on our website, automatically share it on Twitter and LinkedIn with relevant hashtags, add it to our email newsletter queue, and update our content calendar in Notion."
Example 3: Project Management
Your Goal: Keep your team informed about project updates.
Natural Language Command:
"When a task is marked as complete in Asana, check if it's a milestone task. If it is, send a celebration message to the project Slack channel and update the project status in our Monday.com board."
Best Practices
Be Specific The more specific you are about what you want to happen, the better the AI can understand and implement your automation.
Think in Sequences Break down complex processes into logical steps that flow naturally from one to the next.
Consider Edge Cases Think about what should happen in different scenarios and include those conditions in your description.
Test and Iterate Start simple and gradually add complexity as you become more comfortable with the system.
What Makes This Possible
Behind the scenes, advanced natural language processing models analyze your description, identify the systems involved, understand the relationships between actions, and translate your intent into executable workflows.
The AI handles the technical complexity while you focus on describing the business logic that matters to you.
Ready to Get Started?
Join our waitlist to be among the first to experience the power of conversational automation. The future of workflow automation is here, and it speaks your language.