Research automation
Airdroplet AI
How automated research helps maintain Airdroplet while human-readable evidence and uncertainty stay visible.
Agents update files, not live pages
Airdroplet's automated workflows are designed to research project changes, refresh dated notes, and propose edits to static content files. The public site is rebuilt from those files. It does not ask a database or an AI model to invent a page while you wait.
What automation can help with
- Checking official websites and social channels for status changes.
- Flagging stale research dates and broken official links.
- Summarizing source material for review.
- Rebuilding sitemaps, feeds, and static project pages after approved changes.
Where it can fail
Automated summaries can miss context, repeat false claims, or confuse community speculation with an official announcement. Treat AI-generated material as a research aid. Project pages remain explicit about speculation, and the original source should win every disagreement.