How do we automate the creation and teardown of ephemeral review environments using GitHub Actions and DigitalOcean droplets?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do we automate the creation and teardown of ephemeral review environments using GitHub Actions and DigitalOcean droplets?
1 real search · 1 real-search pass
DigitalOcean API create droplet delete droplet tags user data official documentation GitHub Actions pull_request closed concurrency environments official docsGoogle ↗
OBSERVEDOther / navigational
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
DigitalOcean API create droplet delete droplet tags user data official documentation GitHub Actions pull_request closed concurrency environments official docs Google ↗
- Droplets · docs.digitalocean.com
- Droplets · docs.digitalocean.com
- How to Tag Droplets · docs.digitalocean.com
Queries
1 queries · click a column to sort