I described a “weekly sales report analyzing CRM data and emailing summaries” to Latenode’s AI Copilot. It generated a 9-step workflow but missed some dependencies between steps. How specific do I need to be in my descriptions? Are there tricks to get better chained automation results from the text-to-workflow feature?
Use action verbs and sequence words. “First extract X, then analyze Y, finally send Z” works best. The Copilot understands temporal clauses well. My last prompt generated a perfect Shopify→GPT-4→Slack chain.
Break your description into numbered steps. I found including sample data formats helps - like “Output must contain {total_sales: number}”. The Copilot then adds proper data mapping between nodes.
Treat it like pair programming. Start with a high-level description, then iterate by adding constraints. Example: First prompt “Create CRM report workflow”, then follow up with “Add error handling for empty data sets”. The Copilot’s revision feature handles this well.