Here is a draft "Concepts" table explaining key terms in LeapTable:
A sequence of connected building blocks that pass data from one to the next to automate a process.
Reusable AI modules and other processing logic that can be added to workflows.
Special building blocks powered by AI algorithms like NLP, computer vision, etc.
Built-in capabilities like web scraping, PDF conversion, querying, etc. Encapsulated as building blocks.
Pre-built workflows for common use cases that can be customized.
Code sections that can be inserted into Python building blocks for custom logic.
Connectors for ingesting data from sources like databases, APIs, cloud storage.
Generated AI representations of input data used for powering workflows.
Ways to connect LeapTable workflows to external apps via API, Zapier, etc.
Folders and trees for managing, grouping, and sharing collections of workflows.
Settings controlling user access to workflows and data sources within the workspace.
Automatically generated endpoints enabling workflow reuse and scaling.
Ability to run workflows on recurring schedules and intervals.
Messages informing users of workflow execution results and other events.