Syllabus for tonight:

Explore GPT-3 API example apps
Setup Bubble's API Connector and register API call
1. manually at first
2. then cheating using cURL import shortcut
3. free tool to visualize JSON objects: JSONvisual
Build the mini app in Bubble
1. parse response object to populate repeating group
2. parameterize the API call to make it dynamic from inputs
3. commit the results to a db table
4. chaining API calls together... 🤯
Troubleshooting tools to emulate sends/receives so you can inspect payloads:
1. To emulate sending a request: Postman
2. To emulate receiving a request: Pipedream
Show SheetAI Gsheets ext for invoking GPT-3 from within Google Sheets.
"Prompt Engineering" guide of guides massive Gsheet

When to use APIs vs. Zapier/Make connectors:

Downsides of calling APIs directly vs. using connectors:

no replay protection if endpoint is down
more coding and error-handling required
requires centralized application logic vs. "pushing logic to the edges" when interacting with multiple services.

Final thoughts

JSON as the "rail spike" for parallelizing app dev in teams
value of JSON for serializing complex data in personal app dev (choke points)
Amazon's mandate for externalizing all services (exposing their own internal service-oriented architecture for public consumption)
great tutorial that I'm building upon for this demo

zoom link ^^

For SheetAI discount:

Nocode Lisboa #5: APIs, GPT-3 & Bubble