Aviation reference tools for analysts, researchers and product teams. Resolve airports, airlines, aircraft types, registrations and flight identifiers with confidence, historical validity and source provenance. Inspect airport network integration, operator and ownership facts, engagement exceptions, connectivity and passenger-size bands. Explore a catalogue of aviation AI use cases, their data requirements, message lineage and an EASA framework screen. Reference and research data only: not live operational, flight-status, booking or safety-control information. Users can also submit product feedback for human review.
How to use
- 1Add it in ChatGPT
Open Airside Labs Aviation Tools in ChatGPT's Plugin directory (button above), select + to add it and sign in if asked.
- 2Use it in a chat
Type @ in the composer and pick Airside Labs Aviation Tools, or start your message with its name. ChatGPT may also suggest it when it fits what you ask.
Skills 2
- aviation-identity
Resolve and cross-check aviation identifiers (airports, airlines, aircraft types, registrations, flight designators) with the Airside Labs Aviation Tools, on the right date, and report confidence and sources honestly.
- aviation-use-cases
Find and evidence AI use cases for an aviation organisation or role with the Airside Labs Aviation Tools, including the data each needs and the EASA AI-level screen, without overstating what the catalogue shows.
Things to ask
- “Which airline used the designator BA on 1 January 1990, and what does the answer say about reused codes?”
- “What was Berlin Brandenburg's Network Manager integration level in June 2025, and now? Cite the notices.”
- “Show the AI use-case landscape for airport operators, then three use cases for a security manager with their data needs.”