Prophecy helps analysts generate, refine, and operationalize data workflows with AI. Describe the workflow you want, generate pipelines with AI, refine them visually or in SQL, and run recurring workflows directly on your data platform. Generated workflows remain editable, reusable, and production-ready from the start. Getting started is easy. Just sign up, create a project, and build your first workflow.Documentation Index
Fetch the complete documentation index at: https://docs.prophecy.ai/llms.txt
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Getting started
Sign up for the Free Edition
Create a free account and start building your first workflow
Quickstart
Build your first AI-generated pipeline in minutes
Build with Agent
Describe workflows in natural language and generate pipelines with AI
Review and refine
Review generated workflows
Review, validate, and refine AI-generated pipelines visually or in SQL
Concepts
Learn core concepts like pipelines, workflows, and parameters
Use parameters and reusable workflows
Build flexible workflows that adapt across teams, schedules, and runtime environments
Extend existing workflows
Share and reuse workflows
Share projects and reusable workflows across teams
Schedule and run workflows
Run recurring workflows on schedules or trigger them automatically
Import workflows
Import existing Alteryx workflows and extend them with AI
Why teams use Prophecy
Prophecy helps data teams move from ad-hoc analysis to reliable operational workflows faster with AI.- Build with natural language: Describe the workflow you want, and Prophecy generates pipelines you can refine visually or in SQL.
- Review and refine workflows: Validate generated logic and customize workflows visually or in SQL.
- Run reliable operational workflows: Schedule workflows, monitor execution, and manage recurring data processes.
- Share workflows across teams: Collaborate on recurring reporting and data preparation workflows across projects and teams.
- Review and visualize data: Explore outputs and generate dashboards directly from your workflows.
Built for analysts and data teams
Analysts
- Build SQL pipelines and recurring workflows
- Generate and modify transformations using natural language
- Turn ad-hoc analysis into reusable operational workflows
Engineers
- Build Spark-native pipelines using visual or code-first workflows
- Develop production workflows for ingestion, transformation, and orchestration
- Deploy and monitor workflows running on your cloud data platform