After exploring files in an S3 bucket and loading them into Snowflake, the next step is often to run more advanced or multi-stage processes. Genesis supports these workflows through Blueprints, which are structured and repeatable templates designed to execute complex operations reliably.
A Blueprint defines the sequence of steps, logic, and validation rules required to complete an end-to-end workflow. Genesis includes a library of prebuilt Blueprints that cover common data engineering tasks such as ingestion, transformation, modeling, and analytics.
Each Blueprint is organized into phases. A phase contains:
Exit criteria are especially important. Agents may conclude that work is finished based on partial progress, and these checks ensure that each phase reaches the correct state before the workflow continues. This creates a predictable and stateful process that is safe to run and easy to audit.
Engineers can review the Blueprint overview and then dive into the detailed phase structure. In the example shown, the workflow contains nine phases, each with clearly defined actions and validation checks. This transparency makes it easy to confirm that the workflow aligns with the intended outcome before it runs.
Once the appropriate Blueprint is selected, the engineer starts a mission. Genesis pre-populates key fields, and additional configuration can be applied as needed. Missions can run in continuous mode, which allows the worker to proceed automatically except when clarification is required.
After configuration, the engineer selects the worker agent, in this case Eve, and launches the mission.
Blueprints turn complex operations into reliable, automated workflows. By combining defined steps with agent execution, Genesis keeps engineers in control while ensuring efficient and consistent results
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