Back to Videos
November 7, 2025

Exploring Genesis UI: Agents & Their Tool

How Genesis Agents Work

Agents are the core components of the Genesis platform. Each agent is designed for a specific role within the data lifecycle. Instead of giving one model broad control, Genesis assigns clear responsibilities to individual agents. This makes the system more reliable and easier to govern in enterprise environments.

In the Agent Center, you can view every agent in your environment along with its current status. Opening an agent shows two important elements: the tools it can use and the instructions that guide how it works. The toolset defines what actions the agent is allowed to perform. The instruction set describes how it should make decisions, when it should ask for help, and how it evaluates success.

Keeping each agent focused is intentional. A limited, well-defined toolset helps the agent operate efficiently. A clear instruction set ensures that the work aligns with your standards. The result is predictable behavior and consistent outcomes, which is critical when automating data work that affects production systems.

Agents are also able to delegate. If a task requires deeper data modeling or transformation logic, a general-purpose agent can hand that work off to a more specialized one. This creates a coordinated system rather than a single large model attempting to do everything at once.

Benefits of this approach

  • Work is completed in a consistent and governed way
  • Pipelines and models are built to a repeatable standard
  • Every action is traceable and understandable to your team
  • Capacity increases without increasing staffing

Genesis agents function like a structured team of junior data engineers operating inside your environment. They follow your rules, use your platform tools, and help deliver more work, faster, without sacrificing control.

Summary

Genesis uses multiple specialized agents, each with a specific role in the data lifecycle. Every agent has a defined set of tools it can use and instructions that guide its decisions, ensuring predictable and consistent behavior. Agents stay focused, delegate tasks when needed, and work together like a coordinated team. This structure makes data workflows governed, repeatable, and traceable. Pipelines and models are built to a consistent standard, capacity increases without adding headcount, and work aligns with existing platform rules and enterprise requirements.

Keep Watching

June 25, 2025
GXS Uses Autonomous AI Agents to Speed Data Engineering from Months to Hours
November 7, 2025
Exploring Mission Features in Genesis UI
December 2, 2025
Genesis Walkthrough #3: Using a Blueprint to launch a mission
October 27, 2025
Agent Server [2/3]: Where Should Your Agent Server Run?
December 2, 2025
Genesis Walkthrough #7: Exploring Mission Results
January 27, 2026
Using AI Agents to Generate Synthetic Data
December 22, 2025
From Requirements to Production Pipelines With Genesis Missions
December 2, 2025
Genesis Walkthrough #1: Exploring an S3 Bucket with Genesis Agents
November 7, 2025
Launching the Genesis App through the Snowflake Marketplace
June 4, 2025
Stefan Williams, Snowflake & Matt Glickman, Genesis Computing | Snowflake Summit 2025
October 27, 2025
Agent Server [1/3]: Where Enterprise AI Agents Live, Work, and Scale
December 2, 2025
Genesis Walkthrough #6: Mission document flow
June 5, 2025
Enterprise AI Data Agents: Automating Bronze Layer to Snowflake dbt Pipelines
December 2, 2025
A CEO’s Perspective on the Shift to AI Agents
December 2, 2025
Genesis Walkthrough #8: DBT Engineering Blueprint
January 12, 2026
The Junior Data Engineer is Now an AI Agent
February 2, 2026
Automate Dashboard Creation with Genesis
December 2, 2025
Genesis Walkthrough #4: Genesis Mission prompt for required information
October 31, 2025
Exploring Genesis UI: Agent Workflows
October 26, 2025
Delivering on agentic potential: how can financial services firms develop agents to add real value?
October 27, 2025
Agent Server [3/3]: Agent Access Control Explained: RBAC, Caller Limits, and Safer A2A
December 2, 2025
Genesis Walkthrough #2: Loading data from S3 into Snowflake with Genesis
December 2, 2025
Genesis Walkthrough #5: Checking in on a running mission

Stay Connected!

Discover the latest breakthroughs, insights, and company news. Join our community to be the first to learn what’s coming next.
Illustration of floating squares with highlighted text: ‘genesis Live’, ‘Exclusive News’, ‘Actionable Guides’