[no-code AI] Interview-to-Blog Converter

Two days. Zero prior Make experience. Interviews turning into share-worthy stories.

In 36 hours I built my first no-code AI pipeline:

Glide ➜ Make Webhook ➜ GPT-3.5 ➜ Router
          ├─➜ WordPress  (draft post)
          └─➜ Google Sheets (team collaboration)
  1. Glide lets me paste an interview (or auto-import YouTube/Zoom captions).
  2. A Make custom webhook grabs each block.
  3. OpenAI summarizes / analyses it.
  4. A Router sends successes to WordPress & Sheets; errors are quietly caught and logged.

Why it matters

  • 3.2 – 6.5 million podcasts and 1 billion+ blogs exist.
  • Creators drown in transcripts.
  • With this flow anyone can turn a raw conversation into a ready-to-publish draft in minutes.

What I learned

  • Lesson #1: Build error paths on day 1, not day 100.
  • Lesson #2: Progress > perfection. Ship, learn, iterate.
  • Lesson #3: Anything is possible if we committed to take action.
Technical ChallengeFix & Take-away
Oversized GET request → HTTP 431Switched Glide → POST body via Make webhook
Webhook queue stalledCleared queue & activated scenario before testing
OpenAI 429 “quota exceeded”Added error branch; resume seamlessly after top-up
Big transcripts blew token limitsChunk & test with small data first

Kudos

Big thanks to Harold Dijkstra and the Build Weekend team for hosting this incredible event — and for enabling me (and many others around the world) to believe it’s possible to learn, create, and ship something meaningful in a single weekend.

Also grateful for the amazing tools that made rapid creation possible:
Descript · Glide · Make · OpenAI · Google Sheets · WordPress · Zoom · ytmp3.nu · ChatGPT · Loom
Thanks to every tool builder — your work empowers creators everywhere!


Next steps

  • Upgrade OpenAI plan and run full transcripts.
  • Propose to the Glide team releasing a public Glide + Make template so anyone can build upon it — and podcasters, bloggers, researchers, or educators can benefit.
  • Extensions are limitless: add smart categorization, contextual enhancements, multi-language translation, and outputs across multiple channels and formats.

First Attempt, Real Value — Yes We Can!

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