The tool consists of a semantic layer that interprets user requests and maps them to predefined triggers and actions, and a data plane that orchestrates the execution, including smart field mapping, conditional logic, and human-in-the-loop checks. The semantic layer generates multiple candidate plans, scores them, and selects the best one based on previous successful or failed workflows. It also extracts key entities and fields needed, and auto-generates a form for the user to fill in any missing details. The data plane then executes the workflow steps and handles aspects like pagination, retries, and rollbacks. DryMerge currently integrates with 14 common services.
Key takeaways:
- DryMerge is a tool that automates workflows using plain English, allowing users to describe what they want and the AI sets it up.
- The tool has two key components: a semantic layer that interprets the user's request and maps it to triggers and actions, and a data plane that orchestrates the actual execution.
- When a user describes a workflow, the semantic layer generates multiple candidate plans, scores them, and selects the best based on prior successful/failed workflows.
- DryMerge integrates with 14 common services and aims to make workflow automation simpler by replacing no-code GUIs or scripts.