OpenAI Data Agent Connects Enterprise Data, Dashboards, and Action
OpenAI launched Data Agent in ChatGPT Work. Here is how connectors, business semantics, analytical Skills, dashboards, permissions, and approved actions fit together.
Knowledge path
Data Agent
If the SQL Runs, Can You Trust the Data Agent Answer?
A layered evaluation framework covering source choice, semantics, execution, analysis, delivery, offline regression, shadow testing, and observability.
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.
Why Agent-Generated SQL Must Not Run Directly
A controlled execution gateway for validating, authorizing, limiting, sandboxing, verifying, and auditing SQL, code, and external tool calls.
Why Stronger Data Agents Need a Semantic Layer
Schema describes data shape. This guide shows how metrics, entities, dimensions, business rules, and verified examples turn meaning into executable contracts.
The Data Agent Access Layer: Finding the Right Data Before Querying
A practical design for source registration, asset discovery, policy filtering, context packaging, runtime authorization, and access-layer evaluation.
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.