Airtable Systems

Problem solved

Automation stages need a shared view of what is queued, in progress, blocked, or ready to publish.

What I built

Airtable structures for Products, ContentQueue, Settings, Content Engine, and GHX Dashboard so n8n can read/write status and capture QA notes.

Technologies used

Airtable + n8n Airtable nodes across GH-X definitions.

Why this matters to an employer

You get operational data design that makes automation visible and reviewable — critical for AI Ops and support teams.

Verified outcome

5 tables documented publicly via architecture diagrams. Private base IDs and identifiable live records are withheld.