How to Build a Data Agent: A Working Map from 23 Articles
A practical synthesis of routes, data and semantics, execution, verification, accountability, and a task card for starting one bounded enterprise pilot.
Knowledge path
Agent Harness
Inside DataBuddy: Why Data Agents Need a Shared Data Foundation
A close reading of DataBuddy's shared data chain, catalog, semantic layer, Agent Harness, and governance model—with a production-oriented POC checklist.
Why Data Agent Tasks Still Fail When the Agent Can Plan
A practical design for complexity routing, explicit state, step contracts, checkpoints, replanning, recovery, and meaningful multi-agent boundaries.
A Seven-Layer Architecture for Production Data Agents
A practical architecture for turning an ambiguous business question into a governed, testable chain of semantics, planning, execution, verification, and delivery.
Data Agent Levels L0–L5: Autonomy Transfers Responsibility
A practical reading of Data Agent levels through initiation, planning, execution, verification, and recovery—not tool count or marketing claims.
What Is a Data Agent? Four Practical Tests
A data agent is more than a chatbot that writes SQL. Four practical tests—real environments, multi-step execution, verification, and governance—define its production boundary.