01 / AI DATA WORKFLOWS

Start with the information need

An AI-assisted research process may need current public page content, source links or a defined set of factual observations. Identifying that need comes before deciding how the information should be collected.

02 / AI DATA WORKFLOWS

Make provenance part of the brief

Source URLs and collection times can matter as much as the extracted text. They help a receiving workflow distinguish an observation from an inference and understand when the underlying source may have changed.

A close view of server drives at the NOIRLab Headquarters computer room.
Better context begins before the model.
03 / AI DATA WORKFLOWS

Discuss the receiving workflow

Tell us how the information will be consumed. We can discuss the collection and preparation requirements without assuming a particular model, agent framework or output schema.

  • 01Define the public sources
  • 02Identify the required information
  • 03Discuss freshness and source context
  • 04Agree how the receiving system will use it
04 / AI DATA WORKFLOWS

Respect the boundary between access and use

Public availability does not remove every restriction on reuse. Source terms, intellectual property and privacy need to be considered for the intended application. This website does not advertise model hosting or a ready-made AI application.