Build AI workflows that survive any provider outage
Key Takeaways
Builds AI workflows that survive provider outages using Zapier SDKs
Original Description
👉 Zapier SDKs - https://bit.ly/48UNI5o
👉 Code - https://github.com/alnutile/opt-out-automations
#zapier #sdk #aiagents #railway #vibecoding
Your AI provider goes down for hours. Or your company gets banned overnight. Or the model you paid for quietly gets worse. If your business runs on a single AI, that's not a question of if — it's when.
Here's a real opt-out / unsubscribe handler I built on the Zapier SDK. Three AI calls in the chain. When the AI provider broke, I changed one file, pushed to GitHub, Railway redeployed — same workflow, different brain.
What you'll see:
→ A real production AI workflow: Gmail → Tables → AI classify → AI extract → AI reply → confirmation out
→ How the SDK turns 2,000 lines of glue code into about 50
→ Zapier Tables as the state machine + audit log
→ The exact swap moment on camera: Anthropic out, OpenAI in
→ Why "vibe coding" gets a lot less scary when the integrations don't move
Chapters:
00:00 — Why you're betting your business on a single AI
01:00 — Three things that can go wrong: closed, nerfed, down
01:30 — Real example: Tom's Hardware on the Belo ban
03:00 — What we're building: opt-out compliance handler
04:00 — Why this is 50 lines and not 2,000
05:00 — Walking through the actual code
06:30 — The dashboard + Zapier Tables view
07:00 — Demo: real email through the live system
07:30 — The swap — changing the AI provider on camera
08:30 — git push → Railway redeploys
09:00 — Same workflow, different AI, same result
10:00 — Wrap + thanks
Tools and resources:
→ Zapier SDK — Python SDK powering Gmail, Tables, email, Slack
→ Zapier Tables — state machine + audit trail
→ Anthropic Python client — original AI provider
→ OpenAI Python client — what we swapped to
→ Railway — host for the worker service
→ Claude Code — built the original implementation
→ Code repo: [GITHUB LINK]
→ Try Zapier: [https://bit.ly/48UNI5o]
Sponsored by Zapier. If you click the sponsor link above it helps them know this video did something for you — mu
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Chapters (12)
Why you're betting your business on a single AI
1:00
Three things that can go wrong: closed, nerfed, down
1:30
Real example: Tom's Hardware on the Belo ban
3:00
What we're building: opt-out compliance handler
4:00
Why this is 50 lines and not 2,000
5:00
Walking through the actual code
6:30
The dashboard + Zapier Tables view
7:00
Demo: real email through the live system
7:30
The swap — changing the AI provider on camera
8:30
git push → Railway redeploys
9:00
Same workflow, different AI, same result
10:00
Wrap + thanks
🎓
Tutor Explanation
DeepCamp AI